One of the most common enquiries I receive at Pi Towers is “How can I get my hands on a Raspberry Pi Oracle Weather Station?” Now the answer is: “Why not build your own version using our guide?”
Tadaaaa! The BYO weather station fully assembled.
Our Oracle Weather Station
In 2016 we sent out nearly 1000 Raspberry Pi Oracle Weather Station kits to schools from around the world who had applied to be part of our weather station programme. In the original kit was a special HAT that allows the Pi to collect weather data with a set of sensors.
The original Raspberry Pi Oracle Weather Station HAT
We designed the HAT to enable students to create their own weather stations and mount them at their schools. As part of the programme, we also provide an ever-growing range of supporting resources. We’ve seen Oracle Weather Stations in great locations with a huge differences in climate, and they’ve even recorded the effects of a solar eclipse.
Our new BYO weather station guide
We only had a single batch of HATs made, and unfortunately we’ve given nearly* all the Weather Station kits away. Not only are the kits really popular, we also receive lots of questions about how to add extra sensors or how to take more precise measurements of a particular weather phenomenon. So today, to satisfy your demand for a hackable weather station, we’re launching our Build your own weather station guide!
Fun with meteorological experiments!
Our guide suggests the use of many of the sensors from the Oracle Weather Station kit, so can build a station that’s as close as possible to the original. As you know, the Raspberry Pi is incredibly versatile, and we’ve made it easy to hack the design in case you want to use different sensors.
Many other tutorials for Pi-powered weather stations don’t explain how the various sensors work or how to store your data. Ours goes into more detail. It shows you how to put together a breadboard prototype, it describes how to write Python code to take readings in different ways, and it guides you through recording these readings in a database.
There’s also a section on how to make your station weatherproof. And in case you want to move past the breadboard stage, we also help you with that. The guide shows you how to solder together all the components, similar to the original Oracle Weather Station HAT.
Who should try this build
We think this is a great project to tackle at home, at a STEM club, Scout group, or CoderDojo, and we’re sure that many of you will be chomping at the bit to get started. Before you do, please note that we’ve designed the build to be as straight-forward as possible, but it’s still fairly advanced both in terms of electronics and programming. You should read through the whole guide before purchasing any components.
The sensors and components we’re suggesting balance cost, accuracy, and easy of use. Depending on what you want to use your station for, you may wish to use different components. Similarly, the final soldered design in the guide may not be the most elegant, but we think it is achievable for someone with modest soldering experience and basic equipment.
You can build a functioning weather station without soldering with our guide, but the build will be more durable if you do solder it. If you’ve never tried soldering before, that’s OK: we have a Getting started with soldering resource plus video tutorial that will walk you through how it works step by step.
For those of you who are more experienced makers, there are plenty of different ways to put the final build together. We always like to hear about alternative builds, so please post your designs in the Weather Station forum.
Our plans for the guide
Our next step is publishing supplementary guides for adding extra functionality to your weather station. We’d love to hear which enhancements you would most like to see! Our current ideas under development include adding a webcam, making a tweeting weather station, adding a light/UV meter, and incorporating a lightning sensor. Let us know which of these is your favourite, or suggest your own amazing ideas in the comments!
*We do have a very small number of kits reserved for interesting projects or locations: a particularly cool experiment, a novel idea for how the Oracle Weather Station could be used, or places with specific weather phenomena. If have such a project in mind, please send a brief outline to [email protected], and we’ll consider how we might be able to help you.
The German charity Save Nemo works to protect coral reefs, and they are developing Nemo-Pi, an underwater “weather station” that monitors ocean conditions. Right now, you can vote for Save Nemo in the Google.org Impact Challenge.
Save Nemo
The organisation says there are two major threats to coral reefs: divers, and climate change. To make diving saver for reefs, Save Nemo installs buoy anchor points where diving tour boats can anchor without damaging corals in the process.
In addition, they provide dos and don’ts for how to behave on a reef dive.
The Nemo-Pi
To monitor the effects of climate change, and to help divers decide whether conditions are right at a reef while they’re still on shore, Save Nemo is also in the process of perfecting Nemo-Pi.
This Raspberry Pi-powered device is made up of a buoy, a solar panel, a GPS device, a Pi, and an array of sensors. Nemo-Pi measures water conditions such as current, visibility, temperature, carbon dioxide and nitrogen oxide concentrations, and pH. It also uploads its readings live to a public webserver.
The Save Nemo team is currently doing long-term tests of Nemo-Pi off the coast of Thailand and Indonesia. They are also working on improving the device’s power consumption and durability, and testing prototypes with the Raspberry Pi Zero W.
The web dashboard showing live Nemo-Pi data
Long-term goals
Save Nemo aims to install a network of Nemo-Pis at shallow reefs (up to 60 metres deep) in South East Asia. Then diving tour companies can check the live data online and decide day-to-day whether tours are feasible. This will lower the impact of humans on reefs and help the local flora and fauna survive.
A healthy coral reef
Nemo-Pi data may also be useful for groups lobbying for reef conservation, and for scientists and activists who want to shine a spotlight on the awful effects of climate change on sea life, such as coral bleaching caused by rising water temperatures.
A bleached coral reef
Vote now for Save Nemo
If you want to help Save Nemo in their mission today, vote for them to win the Google.org Impact Challenge:
Click “Abstimmen” in the footer of the page to vote
Click “JA” in the footer to confirm
Voting is open until 6 June. You can also follow Save Nemo on Facebook or Twitter. We think this organisation is doing valuable work, and that their projects could be expanded to reefs across the globe. It’s fantastic to see the Raspberry Pi being used to help protect ocean life.
In today’s guest post, seventh-grade students Evan Callas, Will Ross, Tyler Fallon, and Kyle Fugate share their story of using the Raspberry Pi Oracle Weather Station in their Innovation Lab class, headed by Raspberry Pi Certified Educator Chris Aviles.
United Nations Sustainable Goals
The past couple of weeks in our Innovation Lab class, our teacher, Mr Aviles, has challenged us students to design a project that helps solve one of the United Nations Sustainable Goals. We chose Climate Action. Innovation Lab is a class that gives students the opportunity to learn about where the crossroads of technology, the environment, and entrepreneurship meet. Everyone takes their own paths in innovation and learns about the environment using project-based learning.
Raspberry Pi Oracle Weather Station
For our climate change challenge, we decided to build a Raspberry Pi Oracle Weather Station. Tackling the issues of climate change in a way that helps our community stood out to us because we knew with the help of this weather station we can send the local data to farmers and fishermen in town. Recent changes in climate have been affecting farmers’ crops. Unexpected rain, heat, and other unusual weather patterns can completely destabilize the natural growth of the plants and destroy their crops altogether. The amount of labour output needed by farmers has also significantly increased, forcing farmers to grow more food on less resources. By using our Raspberry Pi Oracle Weather Station to alert local farmers, they can be more prepared and aware of the weather, leading to better crops and safe boating.
Growing teamwork and coding skills
The process of setting up our weather station was fun and simple. Raspberry Pi made the instructions very easy to understand and read, which was very helpful for our team who had little experience in coding or physical computing. We enjoyed working together as a team and were happy to be growing our teamwork skills.
Once we constructed and coded the weather station, we learned that we needed to support the station with PVC pipes. After we completed these steps, we brought the weather station up to the roof of the school and began collecting data. Our information is currently being sent to the Initial State dashboard so that we can share the information with anyone interested. This information will also be recorded and seen by other schools, businesses, and others from around the world who are using the weather station. For example, we can see the weather in countries such as France, Greece and Italy.
Raspberry Pi allows us to build these amazing projects that help us to enjoy coding and physical computing in a fun, engaging, and impactful way. We picked climate change because we care about our community and would like to make a substantial contribution to our town, Fair Haven, New Jersey. It is not every day that kids are given these kinds of opportunities, and we are very lucky and grateful to go to a school and learn from a teacher where these opportunities are given to us. Thanks, Mr Aviles!
To see more awesome projects by Mr Avile’s class, you can keep up with him on his blog and follow him on Twitter.
The outfit has just published its latest Piracy Observatory and Digital Content Consumption Habits report, carried out by the independent consultant GFK, and there is good news to report on headline piracy figures.
During 2017, the report estimates that people accessed unlicensed digital content just over four billion times, which equates to almost 21.9 billion euros in lost revenues. While this is a significant number, it’s a decrease of 6% compared to 2016 and an accumulated decrease of 9% compared to 2015, the coalition reports.
Overall, movies are most popular with pirates, with 34% helping themselves to content without paying.
“The volume of films accessed illegally during 2017 was 726 million, with a market value of 5.7 billion euros, compared to 6.9 billion in 2016. 35% of accesses happened while the film was still on screens in cinema theaters, while this percentage was 33% in 2016,” the report notes.
TV shows are in a close second position with 30% of users gobbling up 945 million episodes illegally during 2017. A surprisingly high 24% of users went for eBooks, with music relegated to fourth place with ‘just’ 22%, followed by videogames (11%) and football (10%).
The reasons given by pirates for their habits are both varied and familiar. 51% said that original content is too expensive while 43% said that taking the illegal route “is fast and easy”. Half of the pirates said that simply paying for an internet connection was justification for getting content for free.
A quarter of all pirates believe that they aren’t doing anyone any harm, with the same number saying they get content without paying because there are no consequences for doing so. But it isn’t just pirates themselves in the firing line.
Perhaps unsurprisingly given the current climate, the report heavily criticizes search engines for facilitating access to infringing content.
“With 75%, search engines are the main method of accessing illegal content and Google is used for nine out of ten accesses to pirate content,” the report reads.
“Regarding social networks, Facebook is the most used method of access (83%), followed by Twitter (42%) and Instagram (34%). Therefore it is most valuable that Facebook has reached agreements with different industries to become a legal source and to regulate access to content.”
Once on pirate sites, some consumers reported difficulties in determining whether they’re legal or not. Around 15% said that they had “big difficulties” telling whether a site is authorized with 44% saying they had problems “sometimes”.
That being said, given the amount of advertising on pirate sites, it’s no surprise that most knew a pirate site when they visited one and, according to the report, advertising placement is only on the up.
Just over a quarter of advertising appearing on pirate sites features well-known brands, although this is a reduction from more than 37% in 2016. This needs to be further improved, the coalition says, via collaboration between all parties involved in the industry.
A curious claim from the report is that 81% of pirate site users said they were required to register in order to use a platform. This resulted in “transferring personal data” to pirate site operators who gather it in databases that are used for profitable “e-marketing campaigns”.
“Pirate sites also get much more valuable data than one could imagine which allow them to get important economic benefits, as for example, Internet surfing habits, other websites visited by consumers, preferences, likes, and purchase habits,” the report states.
So what can be done to reduce consumer reliance on pirate sites? The report finds that consumers are largely in line with how the entertainment industries believe piracy should or could be tackled.
“The most efficient measures against piracy would be, according to the internet users’ own view, blocking access to the website offering content (78%) and penalizing internet providers (73%),” the report reads.
“Following these two, the best measure to reduce infringements would be, according to consumers, to promote social awareness campaigns against piracy (61%). This suggests that increased collaboration between the content sector and the ISPs (Internet Service Providers) could count on consumers’ support and positive assessment.”
Finally, consumers in Spain are familiar with the legal options, should they wish to take that route in future. Netflix awareness in the country is at 91%, Spotify at 81%, with Movistar+ and HBO at 80% and 68% respectively.
“This invalidates the reasons given by pirate users who said they did so because of the lack of an accessible legal offer at affordable prices,” the report adds.
However, those who take the plunge into the legal world don’t always kick the pirate habit, with the paper stating that users of pirates sites tend to carry on pirating, although they do pirate less in some sectors, notably music. The study also departs from findings in other regions that pirates can also be avid consumers of legitimate content.
Several reports, from the UK, Sweden, Australia, and even from Hollywood, have clearly indicated that pirates are the entertainment industries’ best customers.
In Spain, however, the situation appears to be much more pessimistic, with only 8% of people who access illegal digital content paying for legal content too. That seems low given that Netflix alone had more than a million Spanish subscribers at the end of 2017 and six million Spanish households currently subscribe to other pay TV services.
Long before peer-to-peer file-sharing networks were a twinkle in developers’ eyes, piracy of software and games flourished under the radar. Cassettes, floppy discs and CDs were the physical media of choice, while the BBS became the haunt of the need-it-now generation.
Sharing was the name of the game. When someone had game ‘X’ on tape, it was freely shared with friends and associates because when they got game ‘Y’, the favor had to be returned. The content itself became the currency and for most, the thought of asking for money didn’t figure into the equation.
Even when P2P networks first took off, money wasn’t really a major part of the equation. Sure, the people running Kazaa and the like were generating money from advertising but for millions of users, sharing content between friends and associates was still the name of the game.
Even when the torrent site scene began to gain traction, money wasn’t the driving force. Everything was so new that developers were much more concerned with getting half written/half broken tracker scripts to work than anything else. Having people care enough to simply visit the sites and share something with others was the real payoff. Ironically, it was a reward that money couldn’t buy.
But as the scene began to develop, so did the influx of minor and even major businessmen. The ratio economy of the private tracker scene meant that bandwidth could essentially be converted to cash, something which gave site operators revenue streams that had never previously existed. That was both good and bad for the scene.
The fact is that running a torrent site costs money and if time is factored in too, that becomes lots of money. If site admins have to fund everything themselves, a tipping point is eventually reached. If the site becomes unaffordable, it closes, meaning that everyone loses. So, by taking in some donations or offering users other perks in exchange for financial assistance, the whole thing remains viable.
Counter-intuitively, the success of such a venture then becomes the problem, at least as far as maintaining the old “sharing is caring” philosophy goes. A well-run private site, with enthusiastic donors, has the potential to bring in quite a bit of cash. Initially, the excess can be saved away for that rainy day when things aren’t so good. Having a few thousand in the bank when chaos rains down is rarely a bad thing.
But what happens when a site does really well and is making money hand over fist? What happens when advertisers on public sites begin to queue up, offering lots of cash to get involved? Is a site operator really expected to turn down the donations and tell the advertisers to go away? Amazingly, some do. Less amazingly, most don’t.
Although there are some notable exceptions, particularly in the niche private tracker scene, these days most ‘pirate’ sites are in it for the money.
In the current legal climate, some probably consider this their well-earned ‘danger money’ yet others are so far away from the sharing ethos it hurts. Quite often, these sites are incapable of taking in a new member due to alleged capacity issues yet a sizeable ‘donation’ miraculously solves the problem and gets the user in. It’s like magic.
As it happens, two threads on Reddit this week sparked this little rant. Both discuss whether someone should consider paying $20 and 37 euros respectively to get invitations to a pair of torrent sites.
Ask a purist and the answer is always ‘NO’, whether that’s buying an invitation from the operator of a torrent site or from someone selling invites for profit.
Aside from the fact that no one on these sites has paid content owners a dime, sites that demand cash for entry are doing so for one reason and one reason only – profit. Ridiculous when it’s the users of those sites that are paying to distribute the content.
On the other hand, others see no wrong in it.
They argue that paying a relatively small amount to access huge libraries of content is preferable to spending hundreds of dollars on a legitimate service that doesn’t carry all the content they need. Others don’t bother making any excuses at all, spending sizable sums with pirate IPTV/VOD services that dispose of sharing morals by engaging in a different business model altogether.
But the bottom line, whether we like it or not, is that money and Internet piracy have become so intertwined, so enmeshed in each other’s existence, that it’s become virtually impossible to separate them.
Even those running the handful of non-profit sites still around today would be forced to reconsider if they had to start all over again in today’s climate. The risk model is entirely different and quite often, only money tips those scales.
The same holds true for the people putting together the next big streaming portals. These days it’s about getting as many eyeballs on content as possible, making the money, and getting out the other end unscathed.
This is not what most early pirates envisioned. This is certainly not what the early sharing masses wanted. Yet arguably, through the influx of business people and the desire to generate profit among the general population, the pirating masses have never had it so good.
As revealed in a recent study, volumes of piracy are on the up and it is now possible – still possible – to access almost any item of content on pirate sites, despite the so-called “follow the money” approach championed by the authorities.
While ‘Sharing is Caring’ still lives today, it’s slowly being drowned out and at this point, there’s probably no way back. The big question is whether anyone cares anymore and the answer to that is “probably not”.
So, if the driving force isn’t sharing or love, it’ll probably have to be money. And that works everywhere else, doesn’t it?
This post courtesy of Ed Lima, AWS Solutions Architect
We are excited to announce that you can now develop your AWS Lambda functions using the Node.js 8.10 runtime, which is the current Long Term Support (LTS) version of Node.js. Start using this new version today by specifying a runtime parameter value of nodejs8.10 when creating or updating functions.
Supporting async/await
The Lambda programming model for Node.js 8.10 now supports defining a function handler using the async/await pattern.
Asynchronous or non-blocking calls are an inherent and important part of applications, as user and human interfaces are asynchronous by nature. If you decide to have a coffee with a friend, you usually order the coffee then start or continue a conversation with your friend while the coffee is getting ready. You don’t wait for the coffee to be ready before you start talking. These activities are asynchronous, because you can start one and then move to the next without waiting for completion. Otherwise, you’d delay (or block) the start of the next activity.
Asynchronous calls used to be handled in Node.js using callbacks. That presented problems when they were nested within other callbacks in multiple levels, making the code difficult to maintain and understand.
Promises were implemented to try to solve issues caused by “callback hell.” They allow asynchronous operations to call their own methods and handle what happens when a call is successful or when it fails. As your requirements become more complicated, even promises become harder to work with and may still end up complicating your code.
Async/await is the new way of handling asynchronous operations in Node.js, and makes for simpler, easier, and cleaner code for non-blocking calls. It still uses promises but a callback is returned directly from the asynchronous function, just as if it were a synchronous blocking function.
Take for instance the following Lambda function to get the current account settings, using the Node.js 6.10 runtime:
let AWS = require('aws-sdk');
let lambda = new AWS.Lambda();
exports.handler = (event, context, callback) => {
let getAccountSettingsPromise = lambda.getAccountSettings().promise();
getAccountSettingsPromise.then(
(data) => {
callback(null, data);
},
(err) => {
console.log(err);
callback(err);
}
);
};
With the new Node.js 8.10 runtime, there are new handler types that can be declared with the “async” keyword or can return a promise directly.
This is how the same function looks like using async/await with Node.js 8.10:
let AWS = require('aws-sdk');
let lambda = new AWS.Lambda();
exports.handler = async (event) => {
return await lambda.getAccountSettings().promise() ;
};
Alternatively, you could have the handler return a promise directly:
let AWS = require('aws-sdk');
let lambda = new AWS.Lambda();
exports.handler = (event) => {
return new Promise((resolve, reject) => {
lambda.getAccountSettings(event)
.then((data) => {
resolve data;
})
.catch(reject);
});
};
The new handler types are alternatives to the callback pattern, which is still fully supported.
All three functions return the same results. However, in the new runtime with async/await, all callbacks in the code are gone, which makes it easier to read. This is especially true for those less familiar with promises.
Another great advantage of async/await is better error handling. You can use a try/catch block inside the scope of an async function. Even though the function awaits an asynchronous operation, any errors end up in the catch block.
You can improve your previous Node.js 8.10 function with this trusted try/catch error handling pattern:
let AWS = require('aws-sdk');
let lambda = new AWS.Lambda();
let data;
exports.handler = async (event) => {
try {
data = await lambda.getAccountSettings().promise();
}
catch (err) {
console.log(err);
return err;
}
return data;
};
While you now have a similar number of lines in both runtimes, the code is cleaner and more readable with async/await. It makes the asynchronous calls look more synchronous. However, it is important to notice that the code is still executed the same way as if it were using a callback or promise-based API.
Backward compatibility
You may port your existing Node.js 4.3 and 6.10 functions over to Node.js 8.10 by updating the runtime. Node.js 8.10 does include numerous breaking changes from previous Node versions.
Make sure to review the API changes between Node.js 4.3, 6.10, and Node.js 8.10 to see if there are other changes that might affect your code. We recommend testing that your Lambda function passes internal validation for its behavior when upgrading to the new runtime version.
You can use Lambda versions/aliases to safely test that your function runs as expected on Node 8.10, before routing production traffic to it.
New node features
You can now get better performance when compared to the previous LTS version 6.x (up to 20%). The new V8 6.0 engine comes with Turbofan and the Ignition pipeline, which leads to lower memory consumption and faster startup time across Node.js applications.
HTTP/2, which is subject to future changes, allows developers to use the new protocol to speed application development and undo many of HTTP/1.1 workarounds to make applications faster, simpler, and more powerful.
Data that describe processes in a spatial context are everywhere in our day-to-day lives and they dominate big data problems. Map data, for instance, whether describing networks of roads or remote sensing data from satellites, get us where we need to go. Atmospheric data from simulations and sensors underlie our weather forecasts and climate models. Devices and sensors with GPS can provide a spatial context to nearly all mobile data.
In this post, we introduce the WIND toolkit, a huge (500 TB), open weather model dataset that’s available to the world on Amazon’s cloud services. We walk through how to access this data and some of the open-source software developed to make it easily accessible. Our solution considers a subset of geospatial data that exist on a grid (raster) and explores ways to provide access to large-scale raster data from weather models. The solution uses foundational AWS services and the Hierarchical Data Format (HDF), a well adopted format for scientific data.
The approach developed here can be extended to any data that fit in an HDF5 file, which can describe sparse and dense vectors and matrices of arbitrary dimensions. This format is already popular within the physical sciences for both experimental and simulation data. We discuss solutions to gridded data storage for a massive dataset of public weather model outputs called the Wind Integration National Dataset (WIND) toolkit. We also highlight strategies that are general to other large geospatial data management problems.
Wind Integration National Dataset
As variable renewable power penetration levels increase in power systems worldwide, the importance of renewable integration studies to ensure continued economic and reliable operation of the power grid is also increasing. The WIND toolkit is the largest freely available grid integration dataset to date.
The WIND toolkit was developed by 3TIER by Vaisala. They were under a subcontract to the National Renewable Energy Laboratory (NREL) to support studies on integration of wind energy into the existing US grid. NREL is a part of a network of national laboratories for the US Department of Energy and has a mission to advance the science and engineering of energy efficiency, sustainable transportation, and renewable power technologies.
The toolkit has been used by consultants, research groups, and universities worldwide to support grid integration studies. Less traditional uses also include resource assessments for wind plants (such as those powering Amazon data centers), and studying the effects of weather on California condor migrations in the Baja peninsula.
The diversity of applications highlights the value of accessible, open public data. Yet, there’s a catch: the dataset is huge. The WIND toolkit provides simulated atmospheric (weather) data at a two-km spatial resolution and five-minute temporal resolution at multiple heights for seven years. The entire dataset is half a petabyte (500 TB) in size and is stored in the NREL High Performance Computing data center in Golden, Colorado. Making this dataset publicly available easily and in a cost-effective manner is a major challenge.
As other laboratories and public institutions work to release their data to the world, they may face similar challenges to those that we experienced. Some prior, well-intentioned efforts to release huge datasets as-is have resulted in data resources that are technically available but fundamentally unusable. They may be stored in an unintuitive format or indexed and organized to support only a subset of potential uses. Downloading hundreds of terabytes of data is often impractical. Most users don’t have access to a big data cluster (or super computer) to slice and dice the data as they need after it’s downloaded.
We aim to provide a large amount of data (50 terabytes) to the public in a way that is efficient, scalable, and easy to use. In many cases, researchers can access these huge cloud-located datasets using the same software and algorithms they have developed for smaller datasets stored locally. Only the pieces of data they need for their individual analysis must be downloaded. To make this work in practice, we worked with the HDF Group and have built upon their forthcoming Highly Scalable Data Service.
In the rest of this post, we discuss how the HSDS software was developed to use Amazon EC2 and Amazon S3 resources to provide convenient and scalable access to these huge geospatial datasets. We describe how the HSDS service has been put to work for the WIND Toolkit dataset and demonstrate how to access it using the h5pyd Python library and the REST API. We conclude with information about our ongoing work to release more ‘open’ datasets to the public using AWS services, and ways to improve and extend the HSDS with newer Amazon services like Amazon ECS and AWS Lambda.
Developing a scalable service for big geospatial data
The HDF5 file format and API have been used for many years and is an effective means of storing large scientific datasets. For example, NASA’s Earth Observing System (EOS) satellites collect more than 16 TBs of data per day using HDF5.
With the rise of the cloud, there are new challenges and opportunities to rethink how HDF5 can be enhanced to work effectively as a component in a cloud-native architecture. For the HDF Group, working with NREL has been a great opportunity to put ideas into practice with a production-size dataset.
An HDF5 file consists of a directed graph of group and dataset objects. Datasets can be thought of as a multidimensional array with support for user-defined metadata tags and compression. Typical operations on datasets would be reading or writing data to a regular subregion (a hyperslab) or reading and writing individual elements (a point selection). Also, group and dataset objects may each contain an arbitrary number of the user-defined metadata elements known as attributes.
Many people have used the HDF library in applications developed or ported to run on EC2 instances, but there are a number of constraints that often prove problematic:
The HDF5 library can’t read directly from HDF5 files stored as S3 objects. The entire file (often many GB in size) would need to be copied to local storage before the first byte can be read. Also, the instance must be configured with the appropriately sized EBS volume)
The HDF library only has access to the computational resources of the instance itself (as opposed to a cluster of instances), so many operations are bottlenecked by the library.
Any modifications to the HDF5 file would somehow have to be synchronized with changes that other instances have made to same file before writing back to S3.
Using a pattern common to many offerings from AWS, the solution to these constraints is to develop a service framework around the HDF data model. Using this model, the HDF Group has created the Highly Scalable Data Service (HSDS) that provides all the functionality that traditionally was provided by the HDF5 library. By using the service, you don’t need to manage your own file volumes, but can just read and write whatever data that you need.
Because the service manages the actual data persistence to a durable medium (S3, in this case), you don’t need to worry about disk management. Simply stream the data you need from the service as you need it. Secondly, putting the functionality behind a service allows some tricks to increase performance (described in more detail later). And lastly, HSDS allows any number of clients to access the data at the same time, enabling HDF5 to be used as a coordination mechanism for multiple readers and writers.
In designing the HSDS architecture, we gave much thought to how to achieve scalability of the HSDS service. For accessing HDF5 data, there are two different types of scaling to consider:
Multiple clients making many requests to the service
Single requests that require a significant amount of data processing
To deal with the first scaling challenge, as with most services, we considered how the service responds as the request rate increases. AWS provides some great tools that help in this regard:
Auto Scaling groups
Elastic Load Balancing load balancers
The ability of S3 to handle large aggregate throughput rates
By using a cluster of EC2 instances behind a load balancer, you can handle different client loads in a cost-effective manner.
The second scaling challenge concerns single requests that would take significant processing time with just one compute node. One example of this from the WIND toolkit would be extracting all the values in the seven-year time span for a given geographic point and dataset.
In HDF5, large datasets are typically stored as “chunks”; that is, a regular partition of the array. In HSDS, each chunk is stored as a binary object in S3. The sequential approach to retrieving the time series values would be for the service to read each chunk needed from S3, extract the needed elements, and go on to the next chunk. In this case, that would involve processing 2557 chunks, and would be quite slow.
Fortunately, with HSDS, you can speed this up quite a bit by exploiting the compute and I/O capabilities of the cluster. Upon receiving the request, the receiving node can use other nodes in the cluster to read different portions of the selection. With multiple nodes reading from S3 in parallel, performance improves as the cluster size increases.
The diagram below illustrates how this works in simplified case of four chunks and four nodes.
This architecture has worked in well in practice. In testing with the WIND toolkit and time series extraction, we observed a request latency of ~60 seconds using four nodes vs. ~5 seconds with 40 nodes. Performance roughly scales with the size of the cluster.
A planned enhancement to this is to use AWS Lambda for the worker processing. This enables 1000-way parallel reads at a reasonable cost, as you only pay for the milliseconds of CPU time used with AWS Lambda.
Public access to atmospheric data using HSDS and AWS
An early challenge in releasing the WIND toolkit data was in deciding how to subset the data for different use cases. In general, few researchers need access to the entire 0.5 PB of data and a great deal of efficiency and cost reduction can be gained by making directed constituent datasets.
NREL grid integration researchers initially extracted a 2-TB subset by selecting 120,000 points where the wind resource seemed appropriate for development. They also chose only those data important for wind applications (100-m wind speed, converted to power), the most interesting locations for those performing grid studies. To support the remaining users who needed more data resolution, we down-sampled the data to a 60-minute temporal resolution, keeping all the other variables and spatial resolution intact. This reduced dataset is 50 TB of data describing 30+ atmospheric variables of data for 7 years at a 60-minute temporal resolution.
The WindViz browser-based Gridded Wind Toolkit Visualizer was created as an example implementation of the HSDS REST API in JavaScript. The visualizer is written in the style of ECMAScript 2016 using a modern development toolchain that includes webpack and Babel. The source code is available through our GitHub repository. The demo page is hosted via GitHub pages, and we use a cross-origin AJAX request to fetch data from the HSDS service running on the EC2 infrastructure. The visualizer can be used to explore the gridded wind toolkit data on a map. Achieve full spatial resolution by zooming in to a specific region.
Programmatic access is possible using the h5pyd Python library, a distributed analog to the widely used h5py library. Users interact with the datasets (variables) and slice the data from its (time x longitude x latitude) cube form as they see fit.
Examples and use cases are described in a set of Jupyter notebooks and available on GitHub:
Now you have a Jupyter notebook server running on your EC2 server.
From your laptop, create an SSH tunnel:
$ ssh –L 8888:localhost:8888 (IP address of the EC2 server)
Now, you can browse to localhost:8888 using the correct token, and interact with the notebooks as if they were local. Within the directory, there are examples for accessing the HSDS API and plotting wind and weather data using matplotlib.
Controlling access and defraying costs
A final concern is rate limiting and access control. Although the HSDS service is scalable and relatively robust, we had a few practical concerns:
How can we protect from malicious or accidental use that may lead to high egress fees (for example, someone who attempts to repeatedly download the entire dataset from S3)?
How can we keep track of who is using the data both to document the value of the data resource and to justify the costs?
If costs become too high, can we charge for some or all API use to help cover the costs?
To approach these problems, we investigated using Amazon API Gateway and its simplified integration with the AWS Marketplace for SaaS monetization as well as third-party API proxies.
In the end, we chose to use API Umbrella due to its close involvement with http://data.gov. While AWS Marketplace is a compelling option for future datasets, the decision was made to keep this dataset entirely open, at least for now. As community use and associated costs grow, we’ll likely revisit Marketplace. Meanwhile, API Umbrella provides controls for rate limiting and API key registration out of the box and was simple to implement as a front-end proxy to HSDS. Those applications that may want to charge for API use can accomplish a similar strategy using Amazon API Gateway and AWS Marketplace.
Ongoing work and other resources
As NREL and other government research labs, municipalities, and organizations try to share data with the public, we expect many of you will face similar challenges to those we have tried to approach with the architecture described in this post. Providing large datasets is one challenge. Doing so in a way that is affordable and convenient for users is an entirely more difficult goal. Using AWS cloud-native services and the existing foundation of the HDF file format has allowed us to tackle that challenge in a meaningful way.
Dr. Caleb Phillips is a senior scientist with the Data Analysis and Visualization Group within the Computational Sciences Center at the National Renewable Energy Laboratory. Caleb comes from a background in computer science systems, applied statistics, computational modeling, and optimization. His work at NREL spans the breadth of renewable energy technologies and focuses on applying modern data science techniques to data problems at scale.
Dr. Caroline Draxl is a senior scientist at NREL. She supports the research and modeling activities of the US Department of Energy from mesoscale to wind plant scale. Caroline uses mesoscale models to research wind resources in various countries, and participates in on- and offshore boundary layer research and in the coupling of the mesoscale flow features (kilometer scale) to the microscale (tens of meters). She holds a M.S. degree in Meteorology and Geophysics from the University of Innsbruck, Austria, and a PhD in Meteorology from the Technical University of Denmark.
John Readey has been a Senior Architect at The HDF Group since he joined in June 2014. His interests include web services related to HDF, applications that support the use of HDF and data visualization.Before joining The HDF Group, John worked at Amazon.com from 2006–2014 where he developed service-based systems for eCommerce and AWS.
Jordan Perr-Sauer is an RPP intern with the Data Analysis and Visualization Group within the Computational Sciences Center at the National Renewable Energy Laboratory. Jordan hopes to use his professional background in software engineering and his academic training in applied mathematics to solve the challenging problems facing America and the world.
When one thinks of large-scale piracy, sites like The Pirate Bay and perhaps 123Movies spring to mind.
Offering millions of viewers the chance to watch the latest movies and TV shows for free the day they’re released or earlier, they’re very much hated by the entertainment industries.
Tomorrow, however, there’s the very real possibility of a huge copyright infringement controversy hitting large parts of Mexico, all centered around the hugely popular anime series Dragon Ball Super.
The key point is that fans everywhere are going nuts in anticipation, so much so that various local governments in Mexico have agreed to hold public screenings for free, including in football stadiums and public squares.
“Fans of the series are crazy to see the new episode of Dragon Ball Super and have already organized events around the country as if it were a boxing match,” local media reports.
For example, Remberto Estrada, the municipal president of Benito Juárez, Quintana Roo, confirmed that the episode will be aired at the Cultural Center of the Arts in Cancun. The mayor of Ciudad Juarez says that a viewing will go ahead at the Plaza de la Mexicanidad with giant screens and cosplay contests on the sidelines.
Many local government Twitter accounts sent out official invitations, like the one shown below.
AYUNTAMIENTO CAPITALINO TRANSMITIRÁ FINAL DE DRAGÓN BALL EN PLAZA DEL CARMEN – El próximo sábado 17 de marzo, el evento dirigido a los fans de las series animadas japonesas y de los cómics… https://t.co/NhMn42toqjpic.twitter.com/meJiojPk65
But despite all the preparations, there is a big problem. According to reports, no group or organization has the rights to show Dragon Ball Super in public in Mexico, a fact confirmed by Toei Animation, the company behind the show.
“To the viewers and fans of Dragon Ball. We have become aware of the plans to exhibit episode # 130 of our Dragon Ball Super series in stadiums, plazas, and public places throughout Latin America,” the company said in an official announcement.
“Toei Animation has not authorized these public shows and does not support or sponsor any of these events nor do we or any of our titles endorse any institution exhibiting the unauthorized episode.
“In an effort to support copyright laws, to protect the work of thousands of persons and many labor sectors, we request that you please enjoy our titles at the official platforms and broadcasters and not support illegal screenings that incite piracy.”
Armando Cabada, mayor of Ciudad Juarez, Chihuahua, was one of the first municipal officials to offer support to the episode 130 movement. He believes that since the events are non-profit, they can go ahead but others have indicated their screenings will only go ahead if they can get the necessary permission.
Crunchyroll, the US video-streaming company that holds some Dragon Ball Super rights, is reportedly trying to communicate with the establishments and organizations planning to host the events to ensure that everything remains legal and above board. At this stage, however, there’s no indication that any agreements have been reached or whether they’re simply getting in touch to deliver a warning.
One region that has already confirmed its event won’t go ahead is Mexico City. The head of the local government there told disappointed fans that since they can’t get permission from Toei, the whole thing has been canceled.
What will happen in the other locations Saturday night if licenses haven’t been obtained is anyone’s guess but thousands of disappointed fans in multiple locations raises the potential for the kind of battle the Mexican authorities can well do without, even if Dragon Ball Super thrives on them.
BitTorrent users today have several basic ways to download content. The most popular is via a dedicated torrent client installed on a Windows, Linux, Android or similar operating system at home.
While this kind of activity is necessarily ‘local’, power users over the years have turned to systems that enable them to download and share potentially huge quantities of data.
Essentially computer servers running torrent client software in remote locations, these so-called ‘seedboxes’ became a must-have for anyone looking to stand out in the torrent world as a sharing sensation.
While widespread, companies selling access to seedboxes haven’t really generated much noise publicly over the years. However, this week an announcement from one of the longer-standing companies caught our attention. After being founded eight years ago, popular provider SeedStuff.ca has decided to exit the seedbox business.
“We originally opened in 2010, however we have seen an ever changing climate in the industry and as new technologies emerge and people shift to more conventional means of file sharing our services have seen a steady decline over the past few years,” the company said in a statement published on its website.
“At this time, it simply is no longer viable to continue offering the services we do.”
Considering BitTorrent itself made its mark as a disruptive technology, it’s interesting that a company like SeedStuff would have its business disrupted by other file-sharing methods. So, we asked the provider a little more about its history and its ultimate decision to close down.
“We started from the backroom IRC channels on 56k connections, so torrents have always been a blessing,” a spokesperson said.
“Between 2005 and 2010, I think the rise of ‘Private’ trackers really started to make the scene shine. You were able to find and connect with the content you wanted as well as the communities of people who shared interests as well.
“The private trackers gamified seeding and rewarded their best members, this is what really paved the way for seedboxes. The users felt a need to compete and often did not have access to the means to do so, but could contract these machines out to help them succeed. The demand for seedboxes started in about 2010, which I think you will see coincided with a huge spike of private tracker activity.”
SeedStuff says its initial aim was to improve user experience by not following the decision by many existing providers to “stuff as many users as possible” into each server. Restricting each unit to a maximum of four users and accepting just a small profit on each, the service grew while gaining support from customers.
“At our peak, we serviced over 4000 customers per month. Our total email database was well over 10,000 customer accounts. We did not monitor bandwidth or user activities as we felt this to be intrusive. We only dealt with server providers who offered unlimited bandwidth so that we were able to allow for the best user experience without limits,” the company explains.
But after several years of growth, SeedStuff noticed a change. In addition to suffering a painful database crash caused by a host and a failed backup regime, in 2015 the company observed a shift in user patterns.
“We noticed around this time that streaming services had started to become mainstream in almost every home and people were simply not using our services anymore. The main cancellation reason for the last three years has been ‘Not needed anymore’,” SeedStuff notes.
“I think torrenting developed for many reasons including ease of use, availability and cost to access media. Many of these issues have been improved by current systems so there is no need for consumers to use torrents for half their content, but we aren’t there yet and the industry seems to be dialing it back again.”
SeedStuff believes that while there will be a steady decline in torrent usage, the protocol will remain relevant for a long time to come. It could even enjoy a resurgence if distribution companies restrict availability or require multiple accounts to access all content.
“If a customer needs dedicated Netflix, HBO, CBS and Hulu accounts to access the shows they want, they might see these costs as too much compared to a decent torrenting connection,” the company says.
Of course, market changes can always have an effect on a company’s direction but SeedStuff says that in addition to tackling a myriad of technical issues, in the end there were also problems with team members migrating to other areas.
“Some of our team also moved on to new projects and started new companies which are now more exciting to them. Everything compounded and eventually lead us to split and go our separate ways. We just wanted to thank everyone who remained a customer through the years and are sorry we had to shut down,” the company concludes.
While there are plenty of other seedbox providers around, it seems fairly clear that things aren’t what they used to be, with streaming and other technologies all helping to disrupt the market. SeedStuff points towards IPFS as yet another potential torrent disrupter of the future. Time will tell.
This is part two of a series on the factors that an organization needs to consider when opening a data center and the challenges that must be met in the process.
In Part 1 of this series, we looked at the different types of data centers, the importance of location in planning a data center, data center certification, and the single most expensive factor in running a data center, power.
In Part 2, we continue to look at factors that need to considered both by those interested in a dedicated data center and those seeking to colocate in an existing center.
In part 1, we began our discussion of the power requirements of data centers.
As we discussed, redundancy and failover is a chief requirement for data center power. A redundantly designed power supply system is also a necessity for maintenance, as it enables repairs to be performed on one network, for example, without having to turn off servers, databases, or electrical equipment.
Power Path
The common critical components of a data center’s power flow are:
Utility Supply
Generators
Transfer Switches
Distribution Panels
Uninterruptible Power Supplies (UPS)
PDUs
Utility Supply is the power that comes from one or more utility grids. While most of us consider the grid to be our primary power supply (hats off to those of you who manage to live off the grid), politics, economics, and distribution make utility supply power susceptible to outages, which is why data centers must have autonomous power available to maintain availability.
Generators are used to supply power when the utility supply is unavailable. They convert mechanical energy, usually from motors, to electrical energy.
Transfer Switches are used to transfer electric load from one source or electrical device to another, such as from one utility line to another, from a generator to a utility, or between generators. The transfer could be manually activated or automatic to ensure continuous electrical power.
Distribution Panels get the power where it needs to go, taking a power feed and dividing it into separate circuits to supply multiple loads.
A UPS, as we touched on earlier, ensures that continuous power is available even when the main power source isn’t. It often consists of batteries that can come online almost instantaneously when the current power ceases. The power from a UPS does not have to last a long time as it is considered an emergency measure until the main power source can be restored. Another function of the UPS is to filter and stabilize the power from the main power supply.
Data center UPSs
PDU stands for the Power Distribution Unit and is the device that distributes power to the individual pieces of equipment.
Network
After power, the networking connections to the data center are of prime importance. Can the data center obtain and maintain high-speed networking connections to the building? With networking, as with all aspects of a data center, availability is a primary consideration. Data center designers think of all possible ways service can be interrupted or lost, even briefly. Details such as the vulnerabilities in the route the network connections make from the core network (the backhaul) to the center, and where network connections enter and exit a building, must be taken into consideration in network and data center design.
Routers and switches are used to transport traffic between the servers in the data center and the core network. Just as with power, network redundancy is a prime factor in maintaining availability of data center services. Two or more upstream service providers are required to ensure that availability.
How fast a customer can transfer data to a data center is affected by: 1) the speed of the connections the data center has with the outside world, 2) the quality of the connections between the customer and the data center, and 3) the distance of the route from customer to the data center. The longer the length of the route and the greater the number of packets that must be transferred, the more significant a factor will be played by latency in the data transfer. Latency is the delay before a transfer of data begins following an instruction for its transfer. Generally latency, not speed, will be the most significant factor in transferring data to and from a data center. Packets transferred using the TCP/IP protocol suite, which is the conceptual model and set of communications protocols used on the internet and similar computer networks, must be acknowledged when received (ACK’d) and requires a communications roundtrip for each packet. If the data is in larger packets, the number of ACKs required is reduced, so latency will be a smaller factor in the overall network communications speed.
Those interested in testing the overall speed and latency of their connection to Backblaze’s data centers can use the Check Your Bandwidth tool on our website.
Data center telecommunications equipment
Data center under floor cable runs
Cooling
Computer, networking, and power generation equipment generates heat, and there are a number of solutions employed to rid a data center of that heat. The location and climate of the data center is of great importance to the data center designer because the climatic conditions dictate to a large degree what cooling technologies should be deployed that in turn affect the power used and the cost of using that power. The power required and cost needed to manage a data center in a warm, humid climate will vary greatly from managing one in a cool, dry climate. Innovation is strong in this area and many new approaches to efficient and cost-effective cooling are used in the latest data centers.
Switch’s uninterruptible, multi-system, HVAC Data Center Cooling Units
There are three primary ways data center cooling can be achieved:
Room Cooling cools the entire operating area of the data center. This method can be suitable for small data centers, but becomes more difficult and inefficient as IT equipment density and center size increase.
Row Cooling concentrates on cooling a data center on a row by row basis. In its simplest form, hot aisle/cold aisle data center design involves lining up server racks in alternating rows with cold air intakes facing one way and hot air exhausts facing the other. The rows composed of rack fronts are called cold aisles. Typically, cold aisles face air conditioner output ducts. The rows the heated exhausts pour into are called hot aisles. Typically, hot aisles face air conditioner return ducts.
Rack Cooling tackles cooling on a rack by rack basis. Air-conditioning units are dedicated to specific racks. This approach allows for maximum densities to be deployed per rack. This works best in data centers with fully loaded racks, otherwise there would be too much cooling capacity, and the air-conditioning losses alone could exceed the total IT load.
Security
Data Centers are high-security facilities as they house business, government, and other data that contains personal, financial, and other secure information about businesses and individuals.
This list contains the physical-security considerations when opening or co-locating in a data center:
Layered Security Zones. Systems and processes are deployed to allow only authorized personnel in certain areas of the data center. Examples include keycard access, alarm systems, mantraps, secure doors, and staffed checkpoints.
Physical Barriers. Physical barriers, fencing and reinforced walls are used to protect facilities. In a colocation facility, one customers’ racks and servers are often inaccessible to other customers colocating in the same data center.
Backblaze racks secured in the data center
Monitoring Systems. Advanced surveillance technology monitors and records activity on approaching driveways, building entrances, exits, loading areas, and equipment areas. These systems also can be used to monitor and detect fire and water emergencies, providing early detection and notification before significant damage results.
Top-tier providers evaluate their data center security and facilities on an ongoing basis. Technology becomes outdated quickly, so providers must stay-on-top of new approaches and technologies in order to protect valuable IT assets.
To pass into high security areas of a data center requires passing through a security checkpoint where credentials are verified.
The gauntlet of cameras and steel bars one must pass before entering this data center
Facilities and Services
Data center colocation providers often differentiate themselves by offering value-added services. In addition to the required space, power, cooling, connectivity and security capabilities, the best solutions provide several on-site amenities. These accommodations include offices and workstations, conference rooms, and access to phones, copy machines, and office equipment.
Additional features may consist of kitchen facilities, break rooms and relaxation lounges, storage facilities for client equipment, and secure loading docks and freight elevators.
Moving into A Data Center
Moving into a data center is a major job for any organization. We wrote a post last year, Desert To Data in 7 Days — Our New Phoenix Data Center, about what it was like to move into our new data center in Phoenix, Arizona.
Our Director of Product Marketing Andy Klein wrote a popular post last year on what it’s like to visit a data center called A Day in the Life of a Data Center.
Would you Like to Know More about The Challenges of Opening and Running a Data Center?
That’s it for part 2 of this series. If readers are interested, we could write a post about some of the new technologies and trends affecting data center design and use. Please let us know in the comments.
Don’t miss future posts on data centers and other topics, including hard drive stats, cloud storage, and tips and tricks for backing up to the cloud. Use the Join button above to receive notification of future posts on our blog.
This is part one of a series. The second part will be posted later this week. Use the Join button above to receive notification of future posts in this series.
Though most of us have never set foot inside of a data center, as citizens of a data-driven world we nonetheless depend on the services that data centers provide almost as much as we depend on a reliable water supply, the electrical grid, and the highway system. Every time we send a tweet, post to Facebook, check our bank balance or credit score, watch a YouTube video, or back up a computer to the cloud we are interacting with a data center.
In this series, The Challenges of Opening a Data Center, we’ll talk in general terms about the factors that an organization needs to consider when opening a data center and the challenges that must be met in the process. Many of the factors to consider will be similar for opening a private data center or seeking space in a public data center, but we’ll assume for the sake of this discussion that our needs are more modest than requiring a data center dedicated solely to our own use (i.e. we’re not Google, Facebook, or China Telecom).
Data center technology and management are changing rapidly, with new approaches to design and operation appearing every year. This means we won’t be able to cover everything happening in the world of data centers in our series, however, we hope our brief overview proves useful.
What is a Data Center?
A data center is the structure that houses a large group of networked computer servers typically used by businesses, governments, and organizations for the remote storage, processing, or distribution of large amounts of data.
While many organizations will have computing services in the same location as their offices that support their day-to-day operations, a data center is a structure dedicated to 24/7 large-scale data processing and handling.
Depending on how you define the term, there are anywhere from a half million data centers in the world to many millions. While it’s possible to say that an organization’s on-site servers and data storage can be called a data center, in this discussion we are using the term data center to refer to facilities that are expressly dedicated to housing computer systems and associated components, such as telecommunications and storage systems. The facility might be a private center, which is owned or leased by one tenant only, or a shared data center that offers what are called “colocation services,” and rents space, services, and equipment to multiple tenants in the center.
A large, modern data center operates around the clock, placing a priority on providing secure and uninterrrupted service, and generally includes redundant or backup power systems or supplies, redundant data communication connections, environmental controls, fire suppression systems, and numerous security devices. Such a center is an industrial-scale operation often using as much electricity as a small town.
Types of Data Centers
There are a number of ways to classify data centers according to how they will be used, whether they are owned or used by one or multiple organizations, whether and how they fit into a topology of other data centers; which technologies and management approaches they use for computing, storage, cooling, power, and operations; and increasingly visible these days: how green they are.
Data centers can be loosely classified into three types according to who owns them and who uses them.
Exclusive Data Centers are facilities wholly built, maintained, operated and managed by the business for the optimal operation of its IT equipment. Some of these centers are well-known companies such as Facebook, Google, or Microsoft, while others are less public-facing big telecoms, insurance companies, or other service providers.
Managed Hosting Providers are data centers managed by a third party on behalf of a business. The business does not own data center or space within it. Rather, the business rents IT equipment and infrastructure it needs instead of investing in the outright purchase of what it needs.
Colocation Data Centers are usually large facilities built to accommodate multiple businesses within the center. The business rents its own space within the data center and subsequently fills the space with its IT equipment, or possibly uses equipment provided by the data center operator.
Backblaze, for example, doesn’t own its own data centers but colocates in data centers owned by others. As Backblaze’s storage needs grow, Backblaze increases the space it uses within a given data center and/or expands to other data centers in the same or different geographic areas.
Availability is Key
When designing or selecting a data center, an organization needs to decide what level of availability is required for its services. The type of business or service it provides likely will dictate this. Any organization that provides real-time and/or critical data services will need the highest level of availability and redundancy, as well as the ability to rapidly failover (transfer operation to another center) when and if required. Some organizations require multiple data centers not just to handle the computer or storage capacity they use, but to provide alternate locations for operation if something should happen temporarily or permanently to one or more of their centers.
Organizations operating data centers that can’t afford any downtime at all will typically operate data centers that have a mirrored site that can take over if something happens to the first site, or they operate a second site in parallel to the first one. These data center topologies are called Active/Passive, and Active/Active, respectively. Should disaster or an outage occur, disaster mode would dictate immediately moving all of the primary data center’s processing to the second data center.
While some data center topologies are spread throughout a single country or continent, others extend around the world. Practically, data transmission speeds put a cap on centers that can be operated in parallel with the appearance of simultaneous operation. Linking two data centers located apart from each other — say no more than 60 miles to limit data latency issues — together with dark fiber (leased fiber optic cable) could enable both data centers to be operated as if they were in the same location, reducing staffing requirements yet providing immediate failover to the secondary data center if needed.
This redundancy of facilities and ensured availability is of paramount importance to those needing uninterrupted data center services.
LEED Certification
Leadership in Energy and Environmental Design (LEED) is a rating system devised by the United States Green Building Council (USGBC) for the design, construction, and operation of green buildings. Facilities can achieve ratings of certified, silver, gold, or platinum based on criteria within six categories: sustainable sites, water efficiency, energy and atmosphere, materials and resources, indoor environmental quality, and innovation and design.
Green certification has become increasingly important in data center design and operation as data centers require great amounts of electricity and often cooling water to operate. Green technologies can reduce costs for data center operation, as well as make the arrival of data centers more amenable to environmentally-conscious communities.
The ACT, Inc. data center in Iowa City, Iowa was the first data center in the U.S. to receive LEED-Platinum certification, the highest level available.
ACT Data Center exterior
ACT Data Center interior
Factors to Consider When Selecting a Data Center
There are numerous factors to consider when deciding to build or to occupy space in a data center. Aspects such as proximity to available power grids, telecommunications infrastructure, networking services, transportation lines, and emergency services can affect costs, risk, security and other factors that need to be taken into consideration.
The size of the data center will be dictated by the business requirements of the owner or tenant. A data center can occupy one room of a building, one or more floors, or an entire building. Most of the equipment is often in the form of servers mounted in 19 inch rack cabinets, which are usually placed in single rows forming corridors (so-called aisles) between them. This allows staff access to the front and rear of each cabinet. Servers differ greatly in size from 1U servers (i.e. one “U” or “RU” rack unit measuring 44.50 millimeters or 1.75 inches), to Backblaze’s Storage Pod design that fits a 4U chassis, to large freestanding storage silos that occupy many square feet of floor space.
Location
Location will be one of the biggest factors to consider when selecting a data center and encompasses many other factors that should be taken into account, such as geological risks, neighboring uses, and even local flight paths. Access to suitable available power at a suitable price point is often the most critical factor and the longest lead time item, followed by broadband service availability.
With more and more data centers available providing varied levels of service and cost, the choices increase each year. Data center brokers can be employed to find a data center, just as one might use a broker for home or other commercial real estate.
Websites listing available colocation space, such as upstack.io, or entire data centers for sale or lease, are widely used. A common practice is for a customer to publish its data center requirements, and the vendors compete to provide the most attractive bid in a reverse auction.
Business and Customer Proximity
The center’s closeness to a business or organization may or may not be a factor in the site selection. The organization might wish to be close enough to manage the center or supervise the on-site staff from a nearby business location. The location of customers might be a factor, especially if data transmission speeds and latency are important, or the business or customers have regulatory, political, tax, or other considerations that dictate areas suitable or not suitable for the storage and processing of data.
Climate
Local climate is a major factor in data center design because the climatic conditions dictate what cooling technologies should be deployed. In turn this impacts uptime and the costs associated with cooling, which can total as much as 50% or more of a center’s power costs. The topology and the cost of managing a data center in a warm, humid climate will vary greatly from managing one in a cool, dry climate. Nevertheless, data centers are located in both extremely cold regions and extremely hot ones, with innovative approaches used in both extremes to maintain desired temperatures within the center.
Geographic Stability and Extreme Weather Events
A major obvious factor in locating a data center is the stability of the actual site as regards weather, seismic activity, and the likelihood of weather events such as hurricanes, as well as fire or flooding.
Backblaze’s Sacramento data center describes its location as one of the most stable geographic locations in California, outside fault zones and floodplains.
Sometimes the location of the center comes first and the facility is hardened to withstand anticipated threats, such as Equinix’s NAP of the Americas data center in Miami, one of the largest single-building data centers on the planet (six stories and 750,000 square feet), which is built 32 feet above sea level and designed to withstand category 5 hurricane winds.
Equinix “NAP of the Americas” Data Center in Miami
Most data centers don’t have the extreme protection or history of the Bahnhof data center, which is located inside the ultra-secure former nuclear bunker Pionen, in Stockholm, Sweden. It is buried 100 feet below ground inside the White Mountains and secured behind 15.7 in. thick metal doors. It prides itself on its self-described “Bond villain” ambiance.
Bahnhof Data Center under White Mountain in Stockholm
Usually, the data center owner or tenant will want to take into account the balance between cost and risk in the selection of a location. The Ideal quadrant below is obviously favored when making this compromise.
Risk mitigation also plays a strong role in pricing. The extent to which providers must implement special building techniques and operating technologies to protect the facility will affect price. When selecting a data center, organizations must make note of the data center’s certification level on the basis of regulatory requirements in the industry. These certifications can ensure that an organization is meeting necessary compliance requirements.
Power
Electrical power usually represents the largest cost in a data center. The cost a service provider pays for power will be affected by the source of the power, the regulatory environment, the facility size and the rate concessions, if any, offered by the utility. At higher level tiers, battery, generator, and redundant power grids are a required part of the picture.
Fault tolerance and power redundancy are absolutely necessary to maintain uninterrupted data center operation. Parallel redundancy is a safeguard to ensure that an uninterruptible power supply (UPS) system is in place to provide electrical power if necessary. The UPS system can be based on batteries, saved kinetic energy, or some type of generator using diesel or another fuel. The center will operate on the UPS system with another UPS system acting as a backup power generator. If a power outage occurs, the additional UPS system power generator is available.
Many data centers require the use of independent power grids, with service provided by different utility companies or services, to prevent against loss of electrical service no matter what the cause. Some data centers have intentionally located themselves near national borders so that they can obtain redundant power from not just separate grids, but from separate geopolitical sources.
Higher redundancy levels required by a company will of invariably lead to higher prices. If one requires high availability backed by a service-level agreement (SLA), one can expect to pay more than another company with less demanding redundancy requirements.
Stay Tuned for Part 2 of The Challenges of Opening a Data Center
That’s it for part 1 of this post. In subsequent posts, we’ll take a look at some other factors to consider when moving into a data center such as network bandwidth, cooling, and security. We’ll take a look at what is involved in moving into a new data center (including stories from Backblaze’s experiences). We’ll also investigate what it takes to keep a data center running, and some of the new technologies and trends affecting data center design and use. You can discover all posts on our blog tagged with “Data Center” by following the link https://www.backblaze.com/blog/tag/data-center/.
The second part of this series on The Challenges of Opening a Data Center will be posted later this week. Use the Join button above to receive notification of future posts in this series.
Big things are afoot in the world of HackSpace magazine! This month we’re running our first special issue, with wearables projects throughout the magazine. Moreover, we’re giving away our first subscription gift free to all 12-month print subscribers. Lastly, and most importantly, we’ve made the cover EXTRA SHINY!
Prepare your eyeballs — it’s HackSpace magazine issue 4!
Wearables
In this issue, we’re taking an in-depth look at wearable tech. Not Fitbits or Apple Watches — we’re talking stuff you can make yourself, from projects that take a couple of hours to put together, to the huge, inspiring builds that are bringing technology to the runway. If you like wearing clothes and you like using your brain to make things better, then you’ll love this feature.
We’re continuing our obsession with Nixie tubes, with the brilliant Time-To-Go-Clock – Trump edition. This ingenious bit of kit uses obsolete Russian electronics to count down the time until the end of the 45th president’s term in office. However, you can also program it to tell the time left to any predictable event, such as the deadline for your tax return or essay submission, or the date England gets knocked out of the World Cup.
We’re also talking to Dr Lucy Rogers — NASA alumna, Robot Wars judge, and fellow of the Institution of Mechanical Engineers — about the difference between making as a hobby and as a job, and about why we need the Guild of Makers. Plus, issue 4 has a teeny boat, the most beautiful Raspberry Pi cases you’ve ever seen, and it explores the results of what happens when you put a bunch of hardware hackers together in a French chateau — sacré bleu!
Tutorials
As always, we’ve got more how-tos than you can shake a soldering iron at. Fittingly for the current climate here in the UK, there’s a hot water monitor, which shows you how long you have before your morning shower turns cold, and an Internet of Tea project to summon a cuppa from your kettle via the web. Perhaps not so fittingly, there’s also an ESP8266 project for monitoring a solar power station online. Readers in the southern hemisphere, we’ll leave that one for you — we haven’t seen the sun here for months!
And there’s more!
We’re super happy to say that all our 12-month print subscribers have been sent an Adafruit Circuit Playground Express with this new issue:
This gadget was developed primarily with wearables in mind and comes with all sorts of in-built functionality, so subscribers can get cracking with their latest wearable project today! If you’re not a 12-month print subscriber, you’ll miss out, so subscribe here to get your magazine and your device, and let us know what you’ll make.
This post summarizes the responses we received to our November 28 post asking our readers how they handle the challenge of digital asset management (DAM). You can read the previous posts in this series below:
Use the Join button above to receive notification of future posts on this topic.
This past November, we published a blog post entitled What’s the Best Solution for Managing Digital Photos and Videos? We asked our readers to tell us how they’re currently backing up their digital media assets and what their ideal system might be. We posed these questions:
How are you currently backing up your digital photos, video files, and/or file libraries/catalogs? Do you have a backup system that uses attached drives, a local network, the cloud, or offline storage media? Does it work well for you?
Imagine your ideal digital asset backup setup. What would it look like? Don’t be constrained by current products, technologies, brands, or solutions. Invent a technology or product if you wish. Describe an ideal system that would work the way you want it to.
We were thrilled to receive a large number of responses from readers. What was clear from the responses is that there is no consensus on solutions for either amateur or professional, and that users had many ideas for how digital media management could be improved to meet their needs.
We asked our readers to contribute to this dialog for a number of reasons. As a cloud backup and cloud storage service provider, we want to understand how our users are working with digital media so we know how to improve our services. Also, we want to participate in the digital media community, and hope that sharing the challenges our readers are facing and the solutions they are using will make a contribution to that community.
The State of Managing Digital Media
While a few readers told us they had settled on a system that worked for them, most said that they were still looking for a better solution. Many expressed frustration with dealing with the growing amount of data for digital photos and videos that is only getting larger with the increasing resolution of still and video cameras. Amateurs are making do with a number of consumer services, while professionals employ a wide range of commercial, open source, or jury rigged solutions for managing data and maintaining its integrity.
I’ve summarized the responses we received in three sections on, 1) what readers are doing today, 2) common wishes they have for improvements, and 3) concerns that were expressed by a number of respondents.
The Digital Media Workflow
Protecting Media From Camera to Cloud
We heard from a wide range of smartphone users, DSLR and other format photographers, and digital video creators. Speed of operation, the ability to share files with collaborators and clients, and product feature sets were frequently cited as reasons for selecting their particular solution. Also of great importance was protecting the integrity of media through the entire capture, transfer, editing, and backup workflow.
Avid Media Composer
Many readers said they backed up their camera memory cards as soon as possible to a computer or external drive and erased cards only when they had more than one backup of the media. Some said that they used dual memory cards that are written to simultaneously by the camera for peace-of-mind.
While some cameras now come equipped with Wi-Fi, no one other than smartphone users said they were using Wi-Fi as part of their workflow. Also, we didn’t receive feedback from any photographers who regularly shoot tethered.
Some readers said they still use CDs and DVDs for storing media. One user admitted to previously using VHS tape.
NAS (Network Attached Storage) is in wide use. Synology, Drobo, FreeNAS, and other RAID and non-RAID storage devices were frequently mentioned.
A number were backing up their NAS to the cloud for archiving. Others said they had duplicate external drives that were stored onsite or offsite, including in a physical safe, other business locations, a bank lock box, and even “mom’s house.”
Many said they had regular backup practices, including nightly backups, weekly and other regularly scheduled backups, often in non-work hours.
One reader said that a monthly data scrub was performed on the NAS to ensure data integrity.
Hardware used for backups included Synology, QNAP, Drobo, and FreeNAS systems.
Services used by our readers for backing up included Backblaze Backup, Backblaze B2 Cloud Storage, CrashPlan, SmugMug, Amazon Glacier, Google Photos, Amazon Prime Photos, Adobe Creative Cloud, Apple Photos, Lima, DropBox, and Tarsnap. Some readers made a distinction between how they used sync (such as DropBox), backup (such as Backblaze Backup), and storage (such as Backblaze B2), but others did not. (See Sync vs. Backup vs. Storage on our blog for an explanation of the differences.)
Software used for backups and maintaining file integrity included Arq, Carbon Copy Cloner, ChronoSync, SoftRAID, FreeNAS, corz checksum, rclone, rsync, Apple Time Machine, Capture One, Btrfs, BorgBackup, SuperDuper, restic, Acronis True Image, custom Python scripts, and smartphone apps PhotoTransfer and PhotoSync.
Cloud torrent services mentioned were Offcloud, Bitport, and Seedr.
A common practice mentioned is to use SSD (Solid State Drives) in the working computer or attached drives (or both) to improve speed and reliability. Protection from magnetic fields was another reason given to use SSDs.
Many users copy their media to multiple attached or network drives for redundancy.
Users of Lightroom reported keeping their Lightroom catalog on a local drive and their photo files on an attached drive. They frequently had different backup schemes for the catalog and the media. Many readers are careful to have multiple backups of their Lightroom catalog. Some expressed the desire to back up both their original raw files and their edited (working) raw files, but limitations in bandwidth and backup media caused some to give priority to good backups of their raw files, since the edited files could be recreated if necessary.
A number of smartphone users reported using Apple or Google Photos to store their photos and share them.
Digital Editing and Enhancement
Adobe still rules for many users for photo editing. Some expressed interest in alternatives from Phase One, Skylum (formerly Macphun), ON1, and DxO.
Adobe Lightroom
While Adobe Lightroom (and Adobe Photoshop for some) are the foundation of many users’ photo media workflow, others are still looking for something that might better suit their needs. A number of comments were made regarding Adobe’s switch to a subscription model.
Software used for image and video editing and enhancement included Adobe Lightroom, Adobe Photoshop, Luminar, Affinity Photo, Phase One, DxO, ON1, GoPro Quik, Apple Aperture (discontinued), Avid Media Composer, Adobe Premiere, and Apple Final Cut Studio (discontinued) or Final Cut Pro.
Luminar 2018 DAM preview
Managing, Archiving, Adding Metadata, Searching for Media Files
While some of our respondents are casual or serious amateur digital media users, others make a living from digital photography and videography. A number of our readers report having hundreds of thousands of files and many terabytes of data — even approaching one petabyte of data for one professional who responded. Whether amateur or professional, all shared the desire to preserve their digital media assets for the future. Consequently, they want to be able to attach metadata quickly and easily, and search for and retrieve files from wherever they are stored when necessary.
It’s not surprising that metadata was of great interest to our readers. Tagging, categorizing, and maintaining searchable records is important to anyone dealing with digital media.
While Lightroom was frequently used to manage catalogs, metadata, and files, others used spreadsheets to record archive location and grep for searching records.
Some liked the idea of Adobe’s Creative Cloud but weren’t excited about its cost and lack of choice in cloud providers.
Others reported using Photo Mechanic, DxO, digiKam, Google Photos, Daminion, Photo Supreme, Phraseanet, Phase One Media Pro, Google Picasa (discontinued), Adobe Bridge, Synology Photo Station, FotoStation, PhotoShelter, Flickr, and SmugMug.
Photo Mechanic 5
Common Wishes For Managing Digital Media in the Future
Our readers came through with numerous suggestions for how digital media management could be improved. There were a number of common themes centered around bigger and better storage, faster broadband or other ways to get data into the cloud, managing metadata, and ensuring integrity of their data.
Many wished for faster internet speeds that would make transferring and backing up files more efficient. This desire was expressed multiple times. Many said that the sheer volume of digital data they worked with made cloud services and storage impractical.
A number of readers would like the option to be able to ship files on a physical device to a cloud provider so that the initial large transfer would not take as long. Some wished to be able to send monthly physical transfers with incremental transfers send over the internet. (Note that Backblaze supports adding data via a hardware drive to B2 Cloud Storage with our Fireball service.)
Reasonable service cost, not surprisingly, was a desire expressed by just about everyone.
Many wished for not just backup, but long-term archiving of data. One suggestion was to be able to specify the length-of-term for archiving and pay by that metric for specific sets of files.
An easy-to-use Windows, Macintosh, or Linux client was a feature that many appreciated. Some were comfortable with using third-party apps for cloud storage and others wanted a vendor-supplied client.
A number of users like the combination of NAS and cloud. Many backed up their NAS devices to the cloud. Some suggested that the NAS should be the local gateway to unlimited virtual storage in the cloud. (They should read our recent blog post on Morro Data’s CloudNAS solution.)
Some just wanted the storage problem solved. They would like the computer system to manage storage intelligently so they don’t have to. One reader said that storage should be managed and optimized by the system, as RAM is, and not by the user.
Common Concerns Expressed by our Readers
Over and over again our readers expressed similar concerns about the state of digital asset management.
Dealing with large volumes of data was a common challenge. As digital media files increase in size, readers struggle to manage the amount of data they have to deal with. As one reader wrote, “Why don’t I have an online backup of my entire library? Because it’s too much damn data!”
Many said they would back up more often, or back up even more files if they had the bandwidth or storage media to do so.
The cloud is attractive to many, but some said that they didn’t have the bandwidth to get their data into the cloud in an efficient manner, the cloud is too expensive, or they have other concerns about trusting the cloud with their data.
Most of our respondents are using Apple computer systems, some Windows, and a few Linux. A lot of the Mac users are using Time Machine. Some liked the concept of Time Machine but said they had experienced corrupted data when using it.
Visibility into the backup process was mentioned many times. Users want to know what’s happening to their data. A number said they wanted automatic integrity checks of their data and reports sent to them if anything changes.
A number of readers said they didn’t want to be locked into one vendor’s proprietary solution. They prefer open standards to prevent loss if a vendor leaves the market, changes the product, or makes a turn in strategy that they don’t wish to follow.
A number of users talked about how their practices differed depending on whether they were working in the field or working in a studio or at home. Access to the internet and data transfer speed was an issue for many.
It’s clear that people working in high resolution photography and videography are pushing the envelope for moving data between storage devices and the cloud.
Some readers expressed concern about the integrity of their stored data. They were concerned that over time, files would degrade. Some asked for tools to verify data integrity manually, or that data integrity should be monitored and reported by the storage vendor on a regular basis. The OpenZFS and Btrfs file systems were mentioned by some.
A few readers mentioned that they preferred redundant data centers for cloud storage.
Metadata is an important element for many, and making sure that metadata is easily and permanently associated with their files is essential.
The ability to share working files with collaborators or finished media with clients, friends, and family also is a common requirement.
Thank You for Your Comments and Suggestions
As a cloud backup and storage provider, your contributions were of great interest to us. A number of readers made suggestions for how we can improve or augment our services to increase the options for digital media management. We listened and are considering your comments. They will be included in our discussions and planning for possible future services and offerings from Backblaze. We thank everyone for your contributions.
Digital media management
Let’s Keep the Conversation Going!
Were you surprised by any of the responses? Do you have something further to contribute? This is by no means the end of our exploration of how to better serve media professionals, so let’s keep the lines of communication open.
For more than a year the British public has been warned about the supposed dangers of Kodi piracy.
Dozens of headlines have claimed consequences ranging from system-destroying malware to prison sentences. Fortunately, most of them can be filed under “tabloid nonsense.”
That being said, there is an extremely important issue that deserves much closer attention, particularly given a shift in the UK legal climate during 2017. We’re talking about live streaming copyrighted content on Facebook, which is both incredibly easy and frighteningly risky.
This week it was revealed that 34-year-old Craig Foster from the UK had been given an ultimatum from Sky to pay a £5,000 settlement fee. The media giant discovered that he’d live-streamed the Anthony Joshua v Wladimir Klitschko fight on Facebook and wanted compensation to make a potential court case disappear.
While it may seem initially odd to use the word, Foster was lucky.
Under last year’s Digital Economy Act, he could’ve been jailed for up to ten years for distributing copyright-infringing content to the public, if he had “reason to believe that communicating the work to the public [would] cause loss to the owner of the copyright, or [would] expose the owner of the copyright to a risk of loss.”
Clearly, as a purchaser of the £19.95 pay-per-view himself, he would’ve appreciated that the event costs money. With that in mind, a court would likely find that he would have been aware that Sky would have been exposed to a “risk of loss”. Sky claim that 4,250 people watched the stream but the way the law is written, no specific level of loss is required for a breach of the law.
But it’s not just the threat of a jail sentence that’s the problem. People streaming live sports on Facebook are sitting ducks.
In Foster’s case, the fight he streamed was watermarked, which means that Sky put a tracking code into it which identified him personally as the buyer of the event. When he (or his friend, as Foster claims) streamed it on Facebook, it was trivial for Sky to capture the watermark and track it back to his Sky account.
Equally, it would be simplicity itself to see that the name on the Sky account had exactly the same name and details as Foster’s Facebook account. So, to most observers, it would appear that not only had Foster purchased the event, but he was also streaming it to Facebook illegally.
It’s important to keep something else in mind. No cooperation between Sky and Facebook would’ve been necessary to obtain Foster’s details. Take the amount of information most people share on Facebook, combine that with the information Sky already had, and the company’s anti-piracy team would have had a very easy job.
Now compare this situation with an upload of the same stream to a torrent site.
While the video capture would still contain Foster’s watermark, which would indicate the source, to prove he also distributed the video Sky would’ve needed to get inside a torrent swarm. From there they would need to capture the IP address of the initial seeder and take the case to court, to force an ISP to hand over that person’s details.
Presuming they were the same person, Sky would have a case, with a broadly similar level of evidence to that presented in the current matter. However, it would’ve taken them months to get their man and cost large sums of money to get there. It’s very unlikely that £5,000 would cover the costs, meaning a much, much bigger bill for the culprit.
Or, confident that Foster was behind the leak based on the watermark alone, Sky could’ve gone straight to the police. That never ends well.
The bottom line is that while live-streaming on Facebook is simplicity itself, people who do it casually from their own account (especially with watermarked content) are asking for trouble.
Nailing Foster was the piracy equivalent of shooting fish in a barrel but the worrying part is that he probably never gave his (or his friend’s…) alleged infringement a second thought. With a click or two, the fight was live and he was staring down the barrel of a potential jail sentence, had Sky not gone the civil route.
It’s scary stuff and not enough is being done to warn people of the consequences. Forget the scare stories attempting to deter people from watching fights or movies on Kodi, thoughtlessly streaming them to the public on social media is the real danger.
Live TV is in massive demand but accessing all content in a particular region can be a hugely expensive proposition, with tradtional broadcasting monopolies demanding large subscription fees.
For millions around the world, this ‘problem’ can be easily circumvented. Pirate IPTV operations, which supply thousands of otherwise subscription channels via the Internet, are on the increase. They’re accessible for just a few dollars, euros, or pounds per month, slashing bills versus official providers on a grand scale.
This week, however, police forces around Europe coordinated to target what they claim is one of the world’s largest illicit IPTV operations. The investigation was launched last February by Europol and on Tuesday coordinated actions were carried out in Cyprus, Bulgaria, Greece, and the Netherlands.
Three suspects were arrested in Cyprus – two in Limassol (aged 43 and 44) and one in Larnaca (aged 53). All are alleged to be part of an international operation to illegally broadcast around 1,200 channels of pirated content worldwide. Some of the channels offered were illegally sourced from Sky UK, Bein Sports, Sky Italia, and Sky DE
If initial reports are to be believed, the reach of the IPTV service was huge. Figures usually need to be taken with a pinch of salt but information suggests the service had more than 500,000 subscribers, each paying around 10 euros per month. (Note: how that relates to the alleged five million euros per year in revenue is yet to be made clear)
Police action was spread across the continent, with at least nine separate raids, including in the Netherlands where servers were uncovered. However, it was determined that these were in place to hide the true location of the operation’s main servers. Similar ‘front’ servers were also deployed in other regions.
The main servers behind the IPTV operation were located in Petrich, a small town in Blagoevgrad Province, southwestern Bulgaria. No details have been provided by the authorities but TF is informed that the website of a local ISP, Megabyte-Internet, from where pirate IPTV has been broadcast for at least the past several months, disappeared on Tuesday. It remains offline this morning.
The company did not respond to our request for comment and there’s no suggestion that it’s directly involved in any illegal activity. However, its Autonomous System (AS) number reveals linked IPTV services, none of which appear to be operational today. The ISP is also listed on sites where ‘pirate’ IPTV channel playlists are compiled by users.
According to sources in Cyprus, police requested permission from the Larnaca District Court to detain the arrested individuals for eight days. However, local news outlet Philenews said that any decision would be postponed until this morning, since one of the three suspects, an English Cypriot, required an interpreter which caused a delay.
In addition to prosecutors and defense lawyers, two Dutch investigators from Europol were present in court yesterday. The hearing lasted for six hours and was said to be so intensive that the court stenographer had to be replaced due to overwork.
In security testing, much like most things technical there are two very contrary methods, Dynamic Application Security Testing or DAST and Static Application Security Testing or SAST.
Dynamic testing relying on a black-box external approach, attacking the application in it’s running state as a regular malicious attacker would.
Static testing is more white-box looking at the source-code of the application for potential flaws.
Personally, I don’t see them as ‘vs’ each other, but more like they compliment each other – it’s easy to have SAST tests as part of your CI/CD pipeline with tools like Code Climate.
Cr3dOv3r is a fairly simple Python-based set of functions that carry out the prelimary work as a credential reuse attack tool.
You just give the tool your target email address then it does two fairly straightforward (but useful) jobs:
Search for public leaks for the email and if it any, it returns with all available details about the leak (Using hacked-emails site API).
Then you give it this email’s old or leaked password then it checks this credentials against 16 websites (ex: facebook, twitter, google…) and notifies of any successful logins.
Първият път, когато се сблъсках със SCADA си помислих колко много потенциал има в тази платформа и колко ужасно дървено е реализирана тя. Дълго време за мен това беше пример за консервативна и егоцентрична система. Твърде затворена, скъпа, със сложно лицензиране – тя беше пълна противоположност на това, което се опитваше да бъде – универсална индустриална платформа за контрол и управление.
Времето обаче променя много неща. В наши дни вече има реализации, които са все по-отворени, поддържат все по-набъбващо количество протоколи и стандарти за интеграция, потребителските интерфейси са web-базирани, лицензирането е ясно и простичко (per server), данните се съхраняват в лесни за споделяне с други платформи бази-данни, имат все по-читави и разнообразни развойни средства. И най-важното – достъпни са и за по-малки и средни предприятия.
Те ще споделят от първо лице опита си, както с използването и внедряването ѝ в собствените им продукти, така във фабриките на техни клиенти.
Този път ще експериментираме с нов формат на събитието – ограничен малък брой наши гости ще могат да наблюдават презентацията на живо, да участват в дискусия и да задават въпросите си към лекторите ни, а след това и да останат за неформален разговор и networking помежду си. Това ще бъдат първите, които закупят VIP pass от сайта ни, преди да са се изчерпали местата.
Тези, които не могат или не успеят навреме да се регистрират за да присъстват, ще могат да гледат (само презентацията) чрез живо излъчване в нашия нов канал в YouTube на адрес https://trakia.tech/live или в последствие на запис, отново там. Това, разбира се, ще е безплатно, но без възможност за участие в дискусията и networking частта след нея.
Иначе всичко ще се случи на 11 декември (понеделник), от 16 часа, в Пловдив, при нашите любезни домакини Limacon. Заповядайте!
Since we launched the Oracle Weather Station project, we’ve collected more than six million records from our network of stations at schools and colleges around the world. Each one of these records contains data from ten separate sensors — that’s over 60 million individual weather measurements!
Weather station measurements in Oracle database
Weather data collection
Having lots of data covering a long period of time is great for spotting trends, but to do so, you need some way of visualising your measurements. We’ve always had great resources like Graphing the weather to help anyone analyse their weather data.
And from now on its going to be even easier for our Oracle Weather Station owners to display and share their measurements. I’m pleased to announce a new partnership with our friends at Initial State: they are generously providing a white-label platform to which all Oracle Weather Station recipients can stream their data.
Using Initial State
Initial State makes it easy to create vibrant dashboards that show off local climate data. The service is perfect for having your Oracle Weather Station data on permanent display, for example in the school reception area or on the school’s website.
But that’s not all: the Initial State toolkit includes a whole range of easy-to-use analysis tools for extracting trends from your data. Distribution plots and statistics are just a few clicks away!
Looks like Auntie Beryl is right — it has been a damp old year! (Humidity value distribution May–Nov 2017)
The wind direction data from my Weather Station supports my excuse as to why I’ve not managed a high-altitude balloon launch this year: to use my launch site, I need winds coming from the east, and those have been in short supply.
Chart showing wind direction over time
Initial State credientials
Every Raspberry Pi Oracle Weather Station school will shortly be receiving the credentials needed to start streaming their data to Initial State. If you’re super keen though, please email [email protected] with a photo of your Oracle Weather Station, and I’ll let you jump the queue!
The Initial State folks are big fans of Raspberry Pi and have a ton of Pi-related projects on their website. They even included shout-outs to us in the music video they made to celebrate the publication of their 50th tutorial. Can you spot their weather station?
Your home-brew weather station
If you’ve built your own Raspberry Pi–powered weather station and would like to dabble with the Initial State dashboards, you’re in luck! The team at Initial State is offering 14-day trials for everyone. For more information on Initial State, and to sign up for the trial, check out their website.
When James Puderer moved to Lima, Peru, his roadside runs left a rather nasty taste in his mouth. Hit by the pollution from old diesel cars in the area, he decided to monitor the air quality in his new city using Raspberry Pis and the abundant taxies as his tech carriers.
How to assemble the enclosure for my Taxi Datalogger project: https://www.hackster.io/james-puderer/distributed-air-quality-monitoring-using-taxis-69647e
Sensing air quality in Lima
Luckily for James, almost all taxies in Lima are equipped with the standard hollow vinyl roof sign seen in the video above, which makes them ideal for hacking.
With the onboard tech, the device collects data on longitude, latitude, humidity, temperature, pressure, and airborne particle count, feeding it back to an Android Things datalogger. This data is then pushed to Google IoT Core, where it can be remotely accessed.
Next, the data is processed by Google Dataflow and turned into a BigQuery table. Users can then visualize the collected measurements. And while James uses Google Maps to analyse his data, there are many tools online that will allow you to organise and study your figures depending on what final result you’re hoping to achieve.
James hopped in a taxi and took his monitor on the road, collecting results throughout the journey
James has provided the complete build process, including all tech ingredients and code, on his Hackster.io project page, and urges makers to create their own air quality monitor for their local area. He also plans on building upon the existing design by adding a 12V power hookup for connecting to the taxi, functioning lights within the sign, and companion apps for drivers.
Sensing the world around you
We’ve seen a wide variety of Raspberry Pi projects using sensors to track the world around us, such as Kasia Molga’s Human Sensor costume series, which reacts to air pollution by lighting up, and Clodagh O’Mahony’s Social Interaction Dress, which she created to judge how conversation and physical human interaction can be scored and studied.
Kasia Molga’s Human Sensor — a collection of hi-tech costumes that react to air pollution within the wearer’s environment.
Many people also build their own Pi-powered weather stations, or use the Raspberry Pi Oracle Weather Station, to measure and record conditions in their towns and cities from the roofs of schools, offices, and homes.
Have you incorporated sensors into your Raspberry Pi projects? Share your builds in the comments below or via social media by tagging us.
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Data that describe processes in a spatial context are everywhere in our day-to-day lives and they dominate big data problems. Map data, for instance, whether describing networks of roads or remote sensing data from satellites, get us where we need to go. Atmospheric data from simulations and sensors underlie our weather forecasts and climate models. Devices and sensors with GPS can provide a spatial context to nearly all mobile data.
The diversity of applications highlights the value of accessible, open public data. Yet, there’s a catch: the dataset is huge. The WIND toolkit provides simulated atmospheric (weather) data at a two-km spatial resolution and five-minute temporal resolution at multiple heights for seven years. The entire dataset is half a petabyte (500 TB) in size and is stored in the NREL High Performance Computing data center in Golden, Colorado. Making this dataset publicly available easily and in a cost-effective manner is a major challenge.
Dr. Caleb Phillips is a senior scientist with the Data Analysis and Visualization Group within the Computational Sciences Center at the National Renewable Energy Laboratory. Caleb comes from a background in computer science systems, applied statistics, computational modeling, and optimization. His work at NREL spans the breadth of renewable energy technologies and focuses on applying modern data science techniques to data problems at scale.
Dr. Caroline Draxl is a senior scientist at NREL. She supports the research and modeling activities of the US Department of Energy from mesoscale to wind plant scale. Caroline uses mesoscale models to research wind resources in various countries, and participates in on- and offshore boundary layer research and in the coupling of the mesoscale flow features (kilometer scale) to the microscale (tens of meters). She holds a M.S. degree in Meteorology and Geophysics from the University of Innsbruck, Austria, and a PhD in Meteorology from the Technical University of Denmark.
John Readey has been a Senior Architect at The HDF Group since he joined in June 2014. His interests include web services related to HDF, applications that support the use of HDF and data visualization.Before joining The HDF Group, John worked at Amazon.com from 2006–2014 where he developed service-based systems for eCommerce and AWS.
Jordan Perr-Sauer is an RPP intern with the Data Analysis and Visualization Group within the Computational Sciences Center at the National Renewable Energy Laboratory. Jordan hopes to use his professional background in software engineering and his academic training in applied mathematics to solve the challenging problems facing America and the world.
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