Tag Archives: isd

FCC Asks Amazon & eBay to Help Eliminate Pirate Media Box Sales

Post Syndicated from Andy original https://torrentfreak.com/fcc-asks-amazon-ebay-to-help-eliminate-pirate-media-box-sales-180530/

Over the past several years, anyone looking for a piracy-configured set-top box could do worse than search for one on Amazon or eBay.

Historically, people deploying search terms including “Kodi” or “fully-loaded” were greeted by page after page of Android-type boxes, each ready for illicit plug-and-play entertainment consumption following delivery.

Although the problem persists on both platforms, people are now much less likely to find infringing devices than they were 12 to 24 months ago. Under pressure from entertainment industry groups, both Amazon and eBay have tightened the screws on sellers of such devices. Now, however, both companies have received requests to stem sales from a completetey different direction.

In a letter to eBay CEO Devin Wenig and Amazon CEO Jeff Bezos first spotted by Ars, FCC Commissioner Michael O’Rielly calls on the platforms to take action against piracy-configured boxes that fail to comply with FCC equipment authorization requirements or falsely display FCC logos, contrary to United States law.

“Disturbingly, some rogue set-top box manufacturers and distributors are exploiting the FCC’s trusted logo by fraudulently placing it on devices that have not been approved via the Commission’s equipment authorization process,” O’Rielly’s letter reads.

“Specifically, nine set-top box distributors were referred to the FCC in October for enabling the unlawful streaming of copyrighted material, seven of which displayed the FCC logo, although there was no record of such compliance.”

While O’Rielly admits that the copyright infringement aspects fall outside the jurisdiction of the FCC, he says it’s troubling that many of these devices are used to stream infringing content, “exacerbating the theft of billions of dollars in American innovation and creativity.”

As noted above, both Amazon and eBay have taken steps to reduce sales of pirate boxes on their respective platforms on copyright infringement grounds, something which is duly noted by O’Rielly. However, he points out that devices continue to be sold to members of the public who may believe that the devices are legal since they’re available for sale from legitimate companies.

“For these reasons, I am seeking your further cooperation in assisting the FCC in taking steps to eliminate the non-FCC compliant devices or devices that fraudulently bear the FCC logo,” the Commissioner writes (pdf).

“Moreover, if your company is made aware by the Commission, with supporting evidence, that a particular device is using a fraudulent FCC label or has not been appropriately certified and labeled with a valid FCC logo, I respectfully request that you commit to swiftly removing these products from your sites.”

In the event that Amazon and eBay take action under this request, O’Rielly asks both platforms to hand over information they hold on offending manufacturers, distributors, and suppliers.

Amazon was quick to respond to the FCC. In a letter published by Ars, Amazon’s Public Policy Vice President Brian Huseman assured O’Rielly that the company is not only dedicated to tackling rogue devices on copyright-infringement grounds but also when there is fraudulent use of the FCC’s logos.

Noting that Amazon is a key member of the Alliance for Creativity and Entertainment (ACE) – a group that has been taking legal action against sellers of infringing streaming devices (ISDs) and those who make infringing addons for Kodi-type systems – Huseman says that dealing with the problem is a top priority.

“Our goal is to prevent the sale of ISDs anywhere, as we seek to protect our customers from the risks posed by these devices, in addition to our interest in protecting Amazon Studios content,” Huseman writes.

“In 2017, Amazon became the first online marketplace to prohibit the sale of streaming media players that promote or facilitate piracy. To prevent the sale of these devices, we proactively scan product listings for signs of potentially infringing products, and we also invest heavily in sophisticated, automated real-time tools to review a variety of data sources and signals to identify inauthentic goods.

“These automated tools are supplemented by human reviewers that conduct manual investigations. When we suspect infringement, we take immediate action to remove suspected listings, and we also take enforcement action against sellers’ entire accounts when appropriate.”

Huseman also reveals that since implementing a proactive policy against such devices, “tens of thousands” of listings have been blocked from Amazon. In addition, the platform has been making criminal referrals to law enforcement as well as taking civil action (1,2,3) as part of ACE.

“As noted in your letter, we would also appreciate the opportunity to collaborate further with the FCC to remove non-compliant devices that improperly use the FCC logo or falsely claim FCC certification. If any FCC non-compliant devices are identified, we seek to work with you to ensure they are not offered for sale,” Huseman concludes.

Source: TF, for the latest info on copyright, file-sharing, torrent sites and more. We also have VPN reviews, discounts, offers and coupons.

Hong Kong Customs Arrest Pirate Streaming Device Vendors

Post Syndicated from Andy original https://torrentfreak.com/hong-kong-customs-arrest-pirate-streaming-device-vendors-180529/

As Internet-capable set-top boxes pour into homes across all populated continents, authorities seem almost powerless to come up with a significant response to the growing threat.

In standard form these devices, which are often Android-based, are entirely legal. However, when configured with specialist software they become piracy powerhouses providing access to all content imaginable, often at copyright holders’ expense.

A large proportion of these devices come from Asia, China in particular, but it’s relatively rare to hear of enforcement action in that part of the world. That changed this week with an announcement from Hong Kong customs detailing a series of raids in the areas of Sham Shui Po and Wan Chai.

After conducting an in-depth investigation with the assistance of copyright holders, on May 25 and 26 Customs and Excise officers launched Operation Trojan Horse, carrying out a series of raids on four premises selling suspected piracy-configured set-top boxes.

During the operation, officers arrested seven men and one woman aged between 18 and 45. Four of them were shop owners and the other four were salespeople. Around 354 suspected ‘pirate’ boxes were seized with an estimated market value of HK$320,000 (US$40,700).

“In the past few months, the department has stepped up inspections of hotspots for TV set-top boxes,” a statement from authorities reads.

“We have discovered that some shops have sold suspected illegal set-top boxes that bypass the copyright protection measures imposed by copyright holders of pay television programs allowing people to watch pay television programs for free.”

Some of the devices seized by Hong Kong Customs

During a press conference yesterday, a representative from the Customs Copyright and Trademark Investigations (Action) Division said that in the run up to the World Cup in 2018, measures against copyright infringement will be strengthened both on and online.

The announcement was welcomed by the Cable and Satellite Broadcasting Association of Asia’s (CASBAA) Coalition Against Piracy, which is back by industry heavyweights including Disney, Fox, HBO Asia, NBCUniversal, Premier League, Turner Asia-Pacific, A&E Networks, Astro, BBC Worldwide, National Basketball Association, TV5MONDE, Viacom International, and others.

“We commend the great work of Hong Kong Customs in clamping down on syndicates who profit from the sale of Illicit Streaming Devices,” said General Manager Neil Gane.

“The prevalence of ISDs in Hong Kong and across South East Asia is staggering. The criminals who sell ISDs, as well as those who operate the ISD networks and pirate websites, are profiting from the hard work of talented creators, seriously damaging the legitimate content ecosystem as well as exposing consumers to dangerous malware.”

Malware warnings are very prevalent these days but it’s not something the majority of set-top box owners have a problem with. Indeed, a study carried by Sycamore Research found that pirates aren’t easily deterred by such warnings.

Nevertheless, there are definite risks for individuals selling devices when they’re configured for piracy.

Recent cases, particularly in the UK, have shown that hefty jail sentences can hit offenders while over in the United States (1,2,3), lawsuits filed by the Alliance for Creativity and Entertainment (ACE) have the potential to end in unfavorable rulings for multiple defendants.

Although rarely reported, offenders in Hong Kong also face stiff sentences for this kind of infringement including large fines and custodial sentences of up to four years.

Source: TF, for the latest info on copyright, file-sharing, torrent sites and more. We also have VPN reviews, discounts, offers and coupons.

Singapore ISPs Block 53 Pirate Sites Following MPAA Legal Action

Post Syndicated from Andy original https://torrentfreak.com/singapore-isps-block-53-pirate-sites-following-mpaa-legal-action-180521/

Under increasing pressure from copyright holders, in 2014 Singapore passed amendments to copyright law that allow ISPs to block ‘pirate’ sites.

“The prevalence of online piracy in Singapore turns customers away from legitimate content and adversely affects Singapore’s creative sector,” said then Senior Minister of State for Law Indranee Rajah.

“It can also undermine our reputation as a society that respects the protection of intellectual property.”

After the amendments took effect in December 2014, there was a considerable pause before any websites were targeted. However, in September 2016, at the request of the MPA(A), Solarmovie.ph became the first website ordered to be blocked under Singapore’s amended Copyright Act. The High Court subsequently ordering several major ISPs to disable access to the site.

A new wave of blocks announced this morning are the country’s most significant so far, with dozens of ‘pirate’ sites targeted following a successful application by the MPAA earlier this year.

In total, 53 sites across 154 domains – including those operated by The Pirate Bay plus KickassTorrents and Solarmovie variants – have been rendered inaccessible by ISPs including Singtel, StarHub, M1, MyRepublic and ViewQwest.

“In Singapore, these sites are responsible for a major portion of copyright infringement of films and television shows,” an MPAA spokesman told The Straits Times (paywall).

“This action by rights owners is necessary to protect the creative industry, enabling creators to create and keep their jobs, protect their works, and ensure the continued provision of high-quality content to audiences.”

Before granting a blocking injunction, the High Court must satisfy itself that the proposed online locations meet the threshold of being “flagrantly infringing”. This means that a site like YouTube, which carries a lot of infringing content but is not dedicated to infringement, would not ordinarily get caught up in the dragnet.

Sites considered for blocking must have a primary purpose to infringe, a threshold that is tipped in copyright holders’ favor when the sites’ operators display a lack of respect for copyright law and have already had their domains blocked in other jurisdictions.

The Court also weighs a number of additional factors including whether blocking would place an unacceptable burden on the shoulders of ISPs, whether the blocking demand is technically possible, and whether it will be effective.

In common with other regions such as the UK and Australia, for example, sites targeted for blocking must be informed of the applications made against them, to ensure they’re given a chance to defend themselves in court. No fully-fledged ‘pirate’ site has ever defended a blocking application in Singapore or indeed any jurisdiction in the world.

Finally, should any measures be taken by ‘pirate’ sites to evade an ISP blockade, copyright holders can apply to the Singapore High Court to amend the blocking order. This is similar to the Australian model where each application must be heard on its merits, rather than the UK model where a more streamlined approach is taken.

According to a recent report by Motion Picture Association Canada, at least 42 countries are now obligated to block infringing sites. In Europe alone, 1,800 sites and 5,300 domains have been rendered inaccessible, with Portugal, Italy, the UK, and Denmark leading the way.

In Canada, where copyright holders are lobbying hard for a site-blocking regime of their own, there’s pressure to avoid the “uncertain, slow and expensive” route of going through the courts.

Source: TF, for the latest info on copyright, file-sharing, torrent sites and more. We also have VPN reviews, discounts, offers and coupons.

Introducing the AWS Machine Learning Competency for Consulting Partners

Post Syndicated from Randall Hunt original https://aws.amazon.com/blogs/aws/introducing-the-aws-machine-learning-competency-for-consulting-partners/

Today I’m excited to announce a new Machine Learning Competency for Consulting Partners in the Amazon Partner Network (APN). This AWS Competency program allows APN Consulting Partners to demonstrate a deep expertise in machine learning on AWS by providing solutions that enable machine learning and data science workflows for their customers. This new AWS Competency is in addition to the Machine Learning comptency for our APN Technology Partners, that we launched at the re:Invent 2017 partner summit.

These APN Consulting Partners help organizations solve their machine learning and data challenges through:

  • Providing data services that help data scientists and machine learning practitioners prepare their enterprise data for training.
  • Platform solutions that provide data scientists and machine learning practitioners with tools to take their data, train models, and make predictions on new data.
  • SaaS and API solutions to enable predictive capabilities within customer applications.

Why work with an AWS Machine Learning Competency Partner?

The AWS Competency Program helps customers find the most qualified partners with deep expertise. AWS Machine Learning Competency Partners undergo a strict validation of their capabilities to demonstrate technical proficiency and proven customer success with AWS machine learning tools.

If you’re an AWS customer interested in machine learning workloads on AWS, check out our AWS Machine Learning launch partners below:

 

Interested in becoming an AWS Machine Learning Competency Partner?

APN Partners with experience in Machine Learning can learn more about becoming an AWS Machine Learning Competency Partner here. To learn more about the benefits of joining the AWS Partner Network, see our APN Partner website.

Thanks to the AWS Partner Team for their help with this post!
Randall

ISPs Win Landmark Case to Protect Privacy of Alleged Pirates

Post Syndicated from Andy original https://torrentfreak.com/isps-win-landmark-case-protect-privacy-alleged-pirates-180508/

With waves of piracy settlement letters being sent out across the world, the last line of defense for many accused Internet users has been their ISPs.

In a number of regions, notably the United States, Europe, and the UK, most ISPs have given up the fight, handing subscriber details over to copyright trolls with a minimum of resistance. However, there are companies out there prepared to stand up for their customers’ rights, if eventually.

Over in Denmark, Telenor grew tired of tens of thousands of requests for subscriber details filed by a local law firm on behalf of international copyright troll groups. It previously complied with demands to hand over the details of individuals behind 22,000 IP addresses, around 11% of the 200,000 total handled by ISPs in Denmark. But with no end in sight, the ISP dug in its heels.

“We think there is a fundamental legal problem because the courts do not really decide what is most important: the legal security of the public or the law firms’ commercial interests,” Telenor’s Legal Director Mette Eistrøm Krüger said last year.

Assisted by rival ISP Telia, Telenor subsequently began preparing a case to protect the interests of their customers, refusing in the meantime to comply with disclosure requests in copyright cases. But last October, the District Court ruled against the telecoms companies, ordering them to provide identities to the copyright trolls.

Undeterred, the companies took their case to the Østre Landsret, one of Denmark’s two High Courts. Yesterday their determination paid off with a resounding victory for the ISPs and security for the individuals behind approximately 4,000 IP addresses targeted by Copyright Collection Ltd via law firm Njord Law.

“In its order based on telecommunications legislation, the Court has weighed subscribers’ rights to confidentiality of information regarding their use of the Internet against the interests of rightsholders to obtain information for the purpose of prosecuting claims against the subscribers,” the Court said in a statement.

Noting that the case raised important questions of European Union law and the European Convention on Human Rights, the High Court said that after due consideration it would overrule the decision of the District Court. The rights of the copyright holders do not trump the individuals right to privacy, it said.

“The telecommunications companies are therefore not required to disclose the names and addresses of their subscribers,” the Court ruled.

Telenor welcomed the decision, noting that it had received countless requests from law firms to disclose the identities of thousands of subscribers but had declined to hand them over, a decision that has now been endorsed by the High Court.

“This is an important victory for our right to protect our customers’ data,” said Telenor Denmark’s Legal Director, Mette Eistrøm Krüger.

“At Telenor we protect our customers’ data and trust – therefore it has been our conviction that we cannot be forced into almost automatically submitting personal data on our customers simply to support some private actors who are driven by commercial interests.”

Noting that it’s been putting up a fight since 2016 against handing over customers’ data for purposes other than investigating serious crime, Telenor said that the clarity provided by the decision is most welcome.

“We and other Danish telecom companies are required to log customer data for the police to fight serious crime and terrorism – but the legislation has just been insufficient in relation to the use of logged data,” Krüger said.

“Therefore I am pleased that with this judgment the High Court has stated that customers’ legal certainty is most important in these cases.”

The decision was also welcomed by Telia Denmark, with Legal Director Lasse Andersen describing the company as being “really really happy” with “a big win.”

“It is a victory for our customers and for all telecom companies’ customers,” Andersen said.

“They can now feel confident that the data that we collect about them cannot be disclosed for purposes other than the terms under which they are collected as determined by the jurisdiction.

“Therefore, anyone and everybody cannot claim our data. We are pleased that throughout the process we have determined that we will not hand over our data to anyone other than the police with a court order,” Andersen added.

But as the ISPs celebrate, the opposite is true for Njord Law and its copyright troll partners.

“It is a sad message to the Danish film and television industry that the possibilities for self-investigating illegal file sharing are complicated and that the work must be left to the police’s scarce resources,” said Jeppe Brogaard Clausen of Njord Law.

While the ISPs finally stood up for users in these cases, Telenor in particular wishes to emphasize that supporting the activities of pirates is not its aim. The company says it does not support illegal file-sharing “in any way” and is actively working with anti-piracy outfit Rights Alliance to prevent unauthorized downloading of movies and other content.

The full decision of the Østre Landsret can be found here (Danish, pdf)

Source: TF, for the latest info on copyright, file-sharing, torrent sites and more. We also have VPN reviews, discounts, offers and coupons.

Danish Traffic to Pirate Sites Increases 67% in Just a Year

Post Syndicated from Andy original https://torrentfreak.com/danish-traffic-to-pirate-sites-increases-67-in-just-a-year-180501/

For close to 20 years, rightsholders have tried to stem the tide of mainstream Internet piracy. Yet despite increasingly powerful enforcement tools, infringement continues on a grand scale.

While the problem is global, rightsholder groups often zoom in on their home turf, to see how the fight is progressing locally. Covering Denmark, the Rights Alliance Data Report 2017 paints a fairly pessimistic picture.

Published this week, the industry study – which uses SimilarWeb and MarkMonitor data – finds that Danes visited 2,000 leading pirate sites 596 million times in 2017. That represents a 67% increase over the 356 million visits to unlicensed platforms made by citizens during 2016.

The report notes that, at least in part, this explosive growth can be attributed to mobile-compatible sites and services, which make it easier than ever to consume illicit content on the move, as well as at home.

In a sea of unauthorized streaming sites, Rights Alliance highlights one platform above all the others as a particularly bad influence in 2017 – 123movies (also known as GoMovies and GoStream, among others).

“The popularity of this service rose sharply in 2017 from 40 million visits in 2016 to 175 million visits in 2017 – an increase of 337 percent, of which most of the traffic originates from mobile devices,” the report notes.

123movies recently announced its closure but before that the platform was subjected to web-blocking in several jurisdictions.

Rights Alliance says that Denmark has one of the most effective blocking systems in the world but that still doesn’t stop huge numbers of people from consuming pirate content from sites that aren’t yet blocked.

“Traffic to infringing sites is overwhelming, and therefore blocking a few sites merely takes the top of the illegal activities,” Rights Alliance chief Maria Fredenslund informs TorrentFreak.

“Blocking is effective by stopping 75% of traffic to blocked sites but certainly, an upscaled effort is necessary.”

Rights Alliance also views the promotion of legal services as crucial to its anti-piracy strategy so when people visit a blocked site, they’re also directed towards legitimate platforms.

“That is why we are working at the moment with Denmark’s Ministry of Culture and ISPs on a campaign ‘Share With Care 2′ which promotes legal services e.g. by offering a search function for legal services which will be placed in combination with the signs that are put on blocked websites,” the anti-piracy group notes.

But even with such measures in place, the thirst for unlicensed content is great. In 2017 alone, 500 of the most popular films and TV shows were downloaded from P2P networks like BitTorrent more than 15 million times from Danish IP addresses, that’s up from 11.9 million in 2016.

Given the dramatic rise in visits to pirate sites overall, the suggestion is that plenty of consumers are still getting through. Rights Alliance says that the number of people being restricted is also hampered by people who don’t use their ISP’s DNS service, which is the method used to block sites in Denmark.

Additionally, interest in VPNs and similar anonymization and bypass-capable technologies is on the increase. Between 3.5% and 5% of Danish Internet users currently use a VPN, a number that’s expected to go up. Furthermore, Rights Alliance reports greater interest in “closed” pirate communities.

“The data is based on closed [BitTorrent] networks. We also address the challenges with private communities on Facebook and other [social media] platforms,” Fredenslund explains.

“Due to the closed doors of these platforms it is not possible for us to say anything precisely about the amount of infringing activities there. However, we receive an increasing number of notices from our members who discover that their products are distributed illegally and also we do an increased monitoring of these platforms.”

But while more established technologies such as torrents and regular web-streaming continue in considerable volumes, newer IPTV-style services accessible via apps and dedicated platforms are also gaining traction.

“The volume of visitors to these services’ websites has been sharply rising in 2017 – an increase of 84 percent from January to December,” Rights Alliance notes.

“Even though the number of visitors does not say anything about actual consumption, as users usually only visit pages one time to download the program, the number gives an indication that the interest in IPTV is increasing.”

To combat this growth market, Rights Alliance says it wants to establish web-blockades against sites hosting the software applications.

Also on the up are visits to platforms offering live sports illegally. In 2017, Danish IP addresses made 2.96 million visits to these services, corresponding to almost 250,000 visits per month and representing an annual increase of 28%.

Rights Alliance informs TF that in future a ‘live’ blocking mechanism similar to the one used by the Premier League in the UK could be deployed in Denmark.

“We already have a dynamic blocking system, and we see an increasing demand for illegal TV products, so this could be a natural next step,” Fredenslund explains.

Another small but perhaps significant detail is how users are accessing pirate sites. According to the report, large volumes of people are now visiting platforms directly, with more than 50% doing so in preference to referrals from search engines such as Google.

In terms of deterrence, the Rights Alliance report sticks to the tried-and-tested approaches seen so often in the anti-piracy arena.

Firstly, the group notes that it’s increasingly encountering people who are paying for legal services such as Netflix and Spotify so believe that allows them to grab something extra from a pirate site. However, in common with similar organizations globally, the group counters that pirate sites can serve malware or have other nefarious business interests behind the scenes, so people should stay away.

Whether significant volumes will heed this advice will remain to be seen but if a 67% increase last year is any predictor of the future, piracy is here to stay – and then some. Rights Alliance says it is ready for the challenge but will need some assistance to achieve its goals.

“As it is evident from the traffic data, criminal activities are not something that we, private companies (right holders in cooperation with ISPs), can handle alone,” Fredenslund says.

“Therefore, we are very pleased that DK Government recently announced that the IP taskforce which was set down as a trial period has now been made permanent. In that regard it is important and necessary that the police will also obtain the authority to handle blocking of massively infringing websites. Police do not have the authority to carry out blocking as it is today.”

The full report is available here (Danish, pdf)

Source: TF, for the latest info on copyright, file-sharing, torrent sites and more. We also have VPN reviews, discounts, offers and coupons.

Welcome Steven: Associate Front End Developer

Post Syndicated from Yev original https://www.backblaze.com/blog/welcome-steven-associate-front-end-developer/

The Backblaze web team is growing! As we add more features and work on our website we need more hands to get things done. Enter Steven, who joins us as an Associate Front End Developer. Steven is going to be getting his hands dirty and diving in to the fun-filled world of web development. Lets learn a bit more about Steven shall we?

What is your Backblaze Title?
Associate Front End Developer.

Where are you originally from?
The Bronx, New York born and raised.

What attracted you to Backblaze?
The team behind Backblaze made me feel like family from the moment I stepped in the door. The level of respect and dedication they showed me is the same respect and dedication they show their customers. Those qualities made wanting to be a part of Backblaze a no brainer!

What do you expect to learn while being at Backblaze?
I expect to grow as a software developer and human being by absorbing as much as I can from the immensely talented people I’ll be surrounded by.

Where else have you worked?
I previously worked at The Greenwich Hotel where I was a front desk concierge and bellman. If the team at Backblaze is anything like the team I was a part of there then this is going to be a fun ride.

Where did you go to school?
I studied at Baruch College and Bloc.

What’s your dream job?
My dream job is one where I’m able to express 100% of my creativity.

Favorite place you’ve traveled?
Santiago, Dominican Republic.

Favorite hobby?
Watching my Yankees, Knicks or Jets play.

Of what achievement are you most proud?
Becoming a Software Developer…

Star Trek or Star Wars?
Star Wars! May the force be with you…

Coke or Pepsi?
… Water. Black iced tea? One of god’s finer creations.

Favorite food?
Mangu con Los Tres Golpes (Mashed Plantains with Fried Salami, Eggs & Cheese).

Why do you like certain things?
I like things that give me good vibes.

Anything else you’d like you’d like to tell us?
If you break any complex concept down into to its simplest parts you’ll have an easier time trying to fully grasp it.

Those are some serious words of wisdom from Steven. We look forward to him helping us get cool stuff out the door!

The post Welcome Steven: Associate Front End Developer appeared first on Backblaze Blog | Cloud Storage & Cloud Backup.

HackSpace magazine 5: Inside Adafruit

Post Syndicated from Andrew Gregory original https://www.raspberrypi.org/blog/hackspace-5/

There’s a new issue of HackSpace magazine on the shelves today, and as usual it’s full of things to make and do!

HackSpace magazine issue 5 Adafruit

Adafruit

We love making hardware, and we’d also love to turn this hobby into a way to make a living. So in the hope of picking up a few tips, we spoke to the woman behind Adafruit: Limor Fried, aka Ladyada.

HackSpace magazine issue 5 Adafruit

Adafruit has played a massive part in bringing the maker movement into homes and schools, so we’re chuffed to have Limor’s words of wisdom in the magazine.

Raspberry Pi 3B+

As you may have heard, there’s a new Pi in town, and that can only mean one thing for HackSpace magazine: let’s test it to its limits!

HackSpace magazine issue 5 Adafruit

The Raspberry Pi 3 Model B+ is faster, better, and stronger, but what does that mean in practical terms for your projects?

Toys

Kids are amazing! Their curious minds, untouched by mundane adulthood, come up with crazy stuff that no sensible grown-up would think to build. No sensible grown-up, that is, apart from the engineers behind Kids Invent Stuff, the brilliant YouTube channel that takes children’s inventions and makes them real.

So what is Kids Invent Stuff?!

Kids Invent Stuff is the YouTube channel where kids’ invention ideas get made into real working inventions. Learn more about Kids Invent Stuff at www.kidsinventstuff.com Have you seen Connor’s Crazy Car invention? https://youtu.be/4_sF6ZFNzrg Have you seen our Flamethrowing piano?

We spoke to Ruth Amos, entrepreneur, engineer, and one half of the Kids Invent Stuff team.

Buggy!

It shouldn’t just be kids who get to play with fun stuff! This month, in the name of research, we’ve brought a Stirling engine–powered buggy from Shenzhen.

HackSpace magazine issue 5 Adafruit

This ingenious mechanical engine is the closest you’ll get to owning a home-brew steam engine without running the risk of having a boiler explode in your face.

Tutorials

In this issue, turn a Dremel multitool into a workbench saw with some wood, perspex, and a bit of laser cutting; make a Starfleet com-badge and pretend you’re Captain Jean-Luc Picard (shaving your hair off not compulsory); add intelligence to builds the easy way with Node-RED; and get stuck into Cheerlights, one of the world’s biggest IoT project.


All this, plus your ultimate guide to blinkenlights, and the only knot you’ll ever need, in HackSpace magazine issue 5.

Subscribe, save, and get free stuff

Save up to 35% on the retail price by signing up to HackSpace magazine today. When you take out a 12-month subscription, you’ll also get a free Adafruit Circuit Playground Express!

HackSpace magazine issue 5 Adafruit

Individual copies of HackSpace magazine are available in selected stockists across the UK, including Tesco, WHSmith, and Sainsbury’s. They’ll also be making their way across the globe to USA, Canada, Australia, Brazil, Hong Kong, Singapore, and Belgium in the coming weeks, so ask your local retailer whether they’re getting a delivery.

You can also purchase your copy on the Raspberry Pi Press website, and browse our complete collection of other Raspberry Pi publications, such as The MagPi, Hello World, and Raspberry Pi Projects Books.

The post HackSpace magazine 5: Inside Adafruit appeared first on Raspberry Pi.

[$] Licenses and contracts

Post Syndicated from jake original https://lwn.net/Articles/747563/rss

Some days it seems that wherever two or more free-software enthusiasts
gather together, there also shall be licensing discussions. One such,
which can get quite heated, is the question of whether a given
free-software license is a license, or whether it is really a contract.
This distinction is important, because most legal systems treat the two
differently. I know from personal experience that that discussion can go
on, unresolved, for long periods, but it had not previously occurred to
me to wonder whether this might be due to the answer being different in
different jurisdictions. Fortunately, it has occurred to some lawyers
to wonder just that, and three of them came together at FOSDEM 2018 to
present their conclusions.

Subscribers can read on for a report on the talk by guest author Tom Yates.

Reactive Microservices Architecture on AWS

Post Syndicated from Sascha Moellering original https://aws.amazon.com/blogs/architecture/reactive-microservices-architecture-on-aws/

Microservice-application requirements have changed dramatically in recent years. These days, applications operate with petabytes of data, need almost 100% uptime, and end users expect sub-second response times. Typical N-tier applications can’t deliver on these requirements.

Reactive Manifesto, published in 2014, describes the essential characteristics of reactive systems including: responsiveness, resiliency, elasticity, and being message driven.

Being message driven is perhaps the most important characteristic of reactive systems. Asynchronous messaging helps in the design of loosely coupled systems, which is a key factor for scalability. In order to build a highly decoupled system, it is important to isolate services from each other. As already described, isolation is an important aspect of the microservices pattern. Indeed, reactive systems and microservices are a natural fit.

Implemented Use Case
This reference architecture illustrates a typical ad-tracking implementation.

Many ad-tracking companies collect massive amounts of data in near-real-time. In many cases, these workloads are very spiky and heavily depend on the success of the ad-tech companies’ customers. Typically, an ad-tracking-data use case can be separated into a real-time part and a non-real-time part. In the real-time part, it is important to collect data as fast as possible and ask several questions including:,  “Is this a valid combination of parameters?,””Does this program exist?,” “Is this program still valid?”

Because response time has a huge impact on conversion rate in advertising, it is important for advertisers to respond as fast as possible. This information should be kept in memory to reduce communication overhead with the caching infrastructure. The tracking application itself should be as lightweight and scalable as possible. For example, the application shouldn’t have any shared mutable state and it should use reactive paradigms. In our implementation, one main application is responsible for this real-time part. It collects and validates data, responds to the client as fast as possible, and asynchronously sends events to backend systems.

The non-real-time part of the application consumes the generated events and persists them in a NoSQL database. In a typical tracking implementation, clicks, cookie information, and transactions are matched asynchronously and persisted in a data store. The matching part is not implemented in this reference architecture. Many ad-tech architectures use frameworks like Hadoop for the matching implementation.

The system can be logically divided into the data collection partand the core data updatepart. The data collection part is responsible for collecting, validating, and persisting the data. In the core data update part, the data that is used for validation gets updated and all subscribers are notified of new data.

Components and Services

Main Application
The main application is implemented using Java 8 and uses Vert.x as the main framework. Vert.x is an event-driven, reactive, non-blocking, polyglot framework to implement microservices. It runs on the Java virtual machine (JVM) by using the low-level IO library Netty. You can write applications in Java, JavaScript, Groovy, Ruby, Kotlin, Scala, and Ceylon. The framework offers a simple and scalable actor-like concurrency model. Vert.x calls handlers by using a thread known as an event loop. To use this model, you have to write code known as “verticles.” Verticles share certain similarities with actors in the actor model. To use them, you have to implement the verticle interface. Verticles communicate with each other by generating messages in  a single event bus. Those messages are sent on the event bus to a specific address, and verticles can register to this address by using handlers.

With only a few exceptions, none of the APIs in Vert.x block the calling thread. Similar to Node.js, Vert.x uses the reactor pattern. However, in contrast to Node.js, Vert.x uses several event loops. Unfortunately, not all APIs in the Java ecosystem are written asynchronously, for example, the JDBC API. Vert.x offers a possibility to run this, blocking APIs without blocking the event loop. These special verticles are called worker verticles. You don’t execute worker verticles by using the standard Vert.x event loops, but by using a dedicated thread from a worker pool. This way, the worker verticles don’t block the event loop.

Our application consists of five different verticles covering different aspects of the business logic. The main entry point for our application is the HttpVerticle, which exposes an HTTP-endpoint to consume HTTP-requests and for proper health checking. Data from HTTP requests such as parameters and user-agent information are collected and transformed into a JSON message. In order to validate the input data (to ensure that the program exists and is still valid), the message is sent to the CacheVerticle.

This verticle implements an LRU-cache with a TTL of 10 minutes and a capacity of 100,000 entries. Instead of adding additional functionality to a standard JDK map implementation, we use Google Guava, which has all the features we need. If the data is not in the L1 cache, the message is sent to the RedisVerticle. This verticle is responsible for data residing in Amazon ElastiCache and uses the Vert.x-redis-client to read data from Redis. In our example, Redis is the central data store. However, in a typical production implementation, Redis would just be the L2 cache with a central data store like Amazon DynamoDB. One of the most important paradigms of a reactive system is to switch from a pull- to a push-based model. To achieve this and reduce network overhead, we’ll use Redis pub/sub to push core data changes to our main application.

Vert.x also supports direct Redis pub/sub-integration, the following code shows our subscriber-implementation:

vertx.eventBus().<JsonObject>consumer(REDIS_PUBSUB_CHANNEL_VERTX, received -> {

JsonObject value = received.body().getJsonObject("value");

String message = value.getString("message");

JsonObject jsonObject = new JsonObject(message);

eb.send(CACHE_REDIS_EVENTBUS_ADDRESS, jsonObject);

});

redis.subscribe(Constants.REDIS_PUBSUB_CHANNEL, res -> {

if (res.succeeded()) {

LOGGER.info("Subscribed to " + Constants.REDIS_PUBSUB_CHANNEL);

} else {

LOGGER.info(res.cause());

}

});

The verticle subscribes to the appropriate Redis pub/sub-channel. If a message is sent over this channel, the payload is extracted and forwarded to the cache-verticle that stores the data in the L1-cache. After storing and enriching data, a response is sent back to the HttpVerticle, which responds to the HTTP request that initially hit this verticle. In addition, the message is converted to ByteBuffer, wrapped in protocol buffers, and send to an Amazon Kinesis Data Stream.

The following example shows a stripped-down version of the KinesisVerticle:

public class KinesisVerticle extends AbstractVerticle {

private static final Logger LOGGER = LoggerFactory.getLogger(KinesisVerticle.class);

private AmazonKinesisAsync kinesisAsyncClient;

private String eventStream = "EventStream";

@Override

public void start() throws Exception {

EventBus eb = vertx.eventBus();

kinesisAsyncClient = createClient();

eventStream = System.getenv(STREAM_NAME) == null ? "EventStream" : System.getenv(STREAM_NAME);

eb.consumer(Constants.KINESIS_EVENTBUS_ADDRESS, message -> {

try {

TrackingMessage trackingMessage = Json.decodeValue((String)message.body(), TrackingMessage.class);

String partitionKey = trackingMessage.getMessageId();

byte [] byteMessage = createMessage(trackingMessage);

ByteBuffer buf = ByteBuffer.wrap(byteMessage);

sendMessageToKinesis(buf, partitionKey);

message.reply("OK");

}

catch (KinesisException exc) {

LOGGER.error(exc);

}

});

}

Kinesis Consumer
This AWS Lambda function consumes data from an Amazon Kinesis Data Stream and persists the data in an Amazon DynamoDB table. In order to improve testability, the invocation code is separated from the business logic. The invocation code is implemented in the class KinesisConsumerHandler and iterates over the Kinesis events pulled from the Kinesis stream by AWS Lambda. Each Kinesis event is unwrapped and transformed from ByteBuffer to protocol buffers and converted into a Java object. Those Java objects are passed to the business logic, which persists the data in a DynamoDB table. In order to improve duration of successive Lambda calls, the DynamoDB-client is instantiated lazily and reused if possible.

Redis Updater
From time to time, it is necessary to update core data in Redis. A very efficient implementation for this requirement is using AWS Lambda and Amazon Kinesis. New core data is sent over the AWS Kinesis stream using JSON as data format and consumed by a Lambda function. This function iterates over the Kinesis events pulled from the Kinesis stream by AWS Lambda. Each Kinesis event is unwrapped and transformed from ByteBuffer to String and converted into a Java object. The Java object is passed to the business logic and stored in Redis. In addition, the new core data is also sent to the main application using Redis pub/sub in order to reduce network overhead and converting from a pull- to a push-based model.

The following example shows the source code to store data in Redis and notify all subscribers:

public void updateRedisData(final TrackingMessage trackingMessage, final Jedis jedis, final LambdaLogger logger) {

try {

ObjectMapper mapper = new ObjectMapper();

String jsonString = mapper.writeValueAsString(trackingMessage);

Map<String, String> map = marshal(jsonString);

String statusCode = jedis.hmset(trackingMessage.getProgramId(), map);

}

catch (Exception exc) {

if (null == logger)

exc.printStackTrace();

else

logger.log(exc.getMessage());

}

}

public void notifySubscribers(final TrackingMessage trackingMessage, final Jedis jedis, final LambdaLogger logger) {

try {

ObjectMapper mapper = new ObjectMapper();

String jsonString = mapper.writeValueAsString(trackingMessage);

jedis.publish(Constants.REDIS_PUBSUB_CHANNEL, jsonString);

}

catch (final IOException e) {

log(e.getMessage(), logger);

}

}

Similarly to our Kinesis Consumer, the Redis-client is instantiated somewhat lazily.

Infrastructure as Code
As already outlined, latency and response time are a very critical part of any ad-tracking solution because response time has a huge impact on conversion rate. In order to reduce latency for customers world-wide, it is common practice to roll out the infrastructure in different AWS Regions in the world to be as close to the end customer as possible. AWS CloudFormation can help you model and set up your AWS resources so that you can spend less time managing those resources and more time focusing on your applications that run in AWS.

You create a template that describes all the AWS resources that you want (for example, Amazon EC2 instances or Amazon RDS DB instances), and AWS CloudFormation takes care of provisioning and configuring those resources for you. Our reference architecture can be rolled out in different Regions using an AWS CloudFormation template, which sets up the complete infrastructure (for example, Amazon Virtual Private Cloud (Amazon VPC), Amazon Elastic Container Service (Amazon ECS) cluster, Lambda functions, DynamoDB table, Amazon ElastiCache cluster, etc.).

Conclusion
In this blog post we described reactive principles and an example architecture with a common use case. We leveraged the capabilities of different frameworks in combination with several AWS services in order to implement reactive principles—not only at the application-level but also at the system-level. I hope I’ve given you ideas for creating your own reactive applications and systems on AWS.

About the Author

Sascha Moellering is a Senior Solution Architect. Sascha is primarily interested in automation, infrastructure as code, distributed computing, containers and JVM. He can be reached at [email protected]

 

 

A New Guide to Banking Regulations and Guidelines in India

Post Syndicated from Oliver Bell original https://aws.amazon.com/blogs/security/a-new-guide-to-banking-regulations-and-guidelines-in-india/

Indian flag

The AWS User Guide to Banking Regulations and Guidelines in India was published in December 2017 and includes information that can help banks regulated by the Reserve Bank of India (RBI) assess how to implement an appropriate information security, risk management, and governance program in the AWS Cloud.

The guide focuses on the following key considerations:

  • Outsourcing guidelines – Guidance for banks entering an outsourcing arrangement, including risk-management practices such as conducting due diligence and maintaining effective oversight. Learn how to conduct an assessment of AWS services and align your governance requirements with the AWS Shared Responsibility Model.
  • Information security – Detailed requirements to help banks identify and manage information security in the cloud.

This guide joins the existing Financial Services guides for other jurisdictions, such as Singapore, Australia, and Hong Kong. AWS will publish additional guides in 2018 to help you understand regulatory requirements in other markets around the world.

– Oliver

How to Manage Amazon GuardDuty Security Findings Across Multiple Accounts

Post Syndicated from Tom Stickle original https://aws.amazon.com/blogs/security/how-to-manage-amazon-guardduty-security-findings-across-multiple-accounts/

Introduced at AWS re:Invent 2017, Amazon GuardDuty is a managed threat detection service that continuously monitors for malicious or unauthorized behavior to help you protect your AWS accounts and workloads. In an AWS Blog post, Jeff Barr shows you how to enable GuardDuty to monitor your AWS resources continuously. That blog post shows how to get started with a single GuardDuty account and provides an overview of the features of the service. Your security team, though, will probably want to use GuardDuty to monitor a group of AWS accounts continuously.

In this post, I demonstrate how to use GuardDuty to monitor a group of AWS accounts and have their findings routed to another AWS account—the master account—that is owned by a security team. The method I demonstrate in this post is especially useful if your security team is responsible for monitoring a group of AWS accounts over which it does not have direct access—known as member accounts. In this solution, I simplify the work needed to enable GuardDuty in member accounts and configure findings by simplifying the process, which I do by enabling GuardDuty in the master account and inviting member accounts.

Enable GuardDuty in a master account and invite member accounts

To get started, you must enable GuardDuty in the master account, which will receive GuardDuty findings. The master account should be managed by your security team, and it will display the findings from all member accounts. The master account can be reverted later by removing any member accounts you add to it. Adding member accounts is a two-way handshake mechanism to ensure that administrators from both the master and member accounts formally agree to establish the relationship.

To enable GuardDuty in the master account and add member accounts:

  1. Navigate to the GuardDuty console.
  2. In the navigation pane, choose Accounts.
    Screenshot of the Accounts choice in the navigation pane
  1. To designate this account as the GuardDuty master account, start adding member accounts:
    • You can add individual accounts by choosing Add Account, or you can add a list of accounts by choosing Upload List (.csv).
  1. Now, add the account ID and email address of the member account, and choose Add. (If you are uploading a list of accounts, choose Browse, choose the .csv file with the member accounts [one email address and account ID per line], and choose Add accounts.)
    Screenshot of adding an account

For security reasons, AWS checks to make sure each account ID is valid and that you’ve entered each member account’s email address that was used to create the account. If a member account’s account ID and email address do not match, GuardDuty does not send an invitation.
Screenshot showing the Status of Invite

  1. After you add all the member accounts you want to add, you will see them listed in the Member accounts table with a Status of Invite. You don’t have to individually invite each account—you can choose a group of accounts and when you choose to invite one account in the group, all accounts are invited.
  2. When you choose Invite for each member account:
    1. AWS checks to make sure the account ID is valid and the email address provided is the email address of the member account.
    2. AWS sends an email to the member account email address with a link to the GuardDuty console, where the member account owner can accept the invitation. You can add a customized message from your security team. Account owners who receive the invitation must sign in to their AWS account to accept the invitation. The service also sends an invitation through the AWS Personal Health Dashboard in case the member email address is not monitored. This invitation appears in the member account under the AWS Personal Health Dashboard alert bell on the AWS Management Console.
    3. A pending-invitation indicator is shown on the GuardDuty console of the member account, as shown in the following screenshot.
      Screenshot showing the pending-invitation indicator

When the invitation is sent by email, it is sent to the account owner of the GuardDuty member account.
Screenshot of the invitation sent by email

The account owner can click the link in the email invitation or the AWS Personal Health Dashboard message, or the account owner can sign in to their account and navigate to the GuardDuty console. In all cases, the member account displays the pending invitation in the member account’s GuardDuty console with instructions for accepting the invitation. The GuardDuty console walks the account owner through accepting the invitation, including enabling GuardDuty if it is not already enabled.

If you prefer to work in the AWS CLI, you can enable GuardDuty and accept the invitation. To do this, call CreateDetector to enable GuardDuty, and then call AcceptInvitation, which serves the same purpose as accepting the invitation in the GuardDuty console.

  1. After the member account owner accepts the invitation, the Status in the master account is changed to Monitored. The status helps you track the status of each AWS account that you invite.
    Screenshot showing the Status change to Monitored

You have enabled GuardDuty on the member account, and all findings will be forwarded to the master account. You can now monitor the findings about GuardDuty member accounts from the GuardDuty console in the master account.

The member account owner can see GuardDuty findings by default and can control all aspects of the experience in the member account with AWS Identity and Access Management (IAM) permissions. Users with the appropriate permissions can end the multi-account relationship at any time by toggling the Accept button on the Accounts page. Note that ending the relationship changes the Status of the account to Resigned and also triggers a security finding on the side of the master account so that the security team knows the member account is no longer linked to the master account.

Working with GuardDuty findings

Most security teams have ticketing systems, chat operations, security information event management (SIEM) systems, or other security automation systems to which they would like to push GuardDuty findings. For this purpose, GuardDuty sends all findings as JSON-based messages through Amazon CloudWatch Events, a scalable service to which you can subscribe and to which AWS services can stream system events. To access these events, navigate to the CloudWatch Events console and create a rule that subscribes to the GuardDuty-related findings. You then can assign a target such as Amazon Kinesis Data Firehose that can place the findings in a number of services such as Amazon S3. The following screenshot is of the CloudWatch Events console, where I have a rule that pulls all events from GuardDuty and pushes them to a preconfigured AWS Lambda function.

Screenshot of a CloudWatch Events rule

The following example is a subset of GuardDuty findings that includes relevant context and information about the nature of a threat that was detected. In this example, the instanceId, i-00bb62b69b7004a4c, is performing Secure Shell (SSH) brute-force attacks against IP address 172.16.0.28. From a Lambda function, you can access any of the following fields such as the title of the finding and its description, and send those directly to your ticketing system.

Example GuardDuty findings

You can use other AWS services to build custom analytics and visualizations of your security findings. For example, you can connect Kinesis Data Firehose to CloudWatch Events and write events to an S3 bucket in a standard format, which can be encrypted with AWS Key Management Service and then compressed. You also can use Amazon QuickSight to build ad hoc dashboards by using AWS Glue and Amazon Athena. Similarly, you can place the data from Kinesis Data Firehose in Amazon Elasticsearch Service, with which you can use tools such as Kibana to build your own visualizations and dashboards.

Like most other AWS services, GuardDuty is a regional service. This means that when you enable GuardDuty in an AWS Region, all findings are generated and delivered in that region. If you are regulated by a compliance regime, this is often an important requirement to ensure that security findings remain in a specific jurisdiction. Because customers have let us know they would prefer to be able to enable GuardDuty globally and have all findings aggregated in one place, we intend to give the choice of regional or global isolation as we evolve this new service.

Summary

In this blog post, I have demonstrated how to use GuardDuty to monitor a group of GuardDuty member accounts and aggregate security findings in a central master GuardDuty account. You can use this solution whether or not you have direct control over the member accounts.

If you have comments about this blog post, submit them in the “Comments” section below. If you have questions about using GuardDuty, start a thread in the GuardDuty forum or contact AWS Support.

-Tom

Your Holiday Cybersecurity Guide

Post Syndicated from Robert Graham original http://blog.erratasec.com/2017/11/your-holiday-cybersecurity-guide.html

Many of us are visiting parents/relatives this Thanksgiving/Christmas, and will have an opportunity to help our them with cybersecurity issues. I thought I’d write up a quick guide of the most important things.

1. Stop them from reusing passwords

By far the biggest threat to average people is that they re-use the same password across many websites, so that when one website gets hacked, all their accounts get hacked.
To demonstrate the problem, go to haveibeenpwned.com and enter the email address of your relatives. This will show them a number of sites where their password has already been stolen, like LinkedIn, Adobe, etc. That should convince them of the severity of the problem.

They don’t need a separate password for every site. You don’t care about the majority of website whether you get hacked. Use a common password for all the meaningless sites. You only need unique passwords for important accounts, like email, Facebook, and Twitter.

Write down passwords and store them in a safe place. Sure, it’s a common joke that people in offices write passwords on Post-It notes stuck on their monitors or under their keyboards. This is a common security mistake, but that’s only because the office environment is widely accessible. Your home isn’t, and there’s plenty of places to store written passwords securely, such as in a home safe. Even if it’s just a desk drawer, such passwords are safe from hackers, because they aren’t on a computer.

Write them down, with pen and paper. Don’t put them in a MyPasswords.doc, because when a hacker breaks in, they’ll easily find that document and easily hack your accounts.

You might help them out with getting a password manager, or two-factor authentication (2FA). Good 2FA like YubiKey will stop a lot of phishing threats. But this is difficult technology to learn, and of course, you’ll be on the hook for support issues, such as when they lose the device. Thus, while 2FA is best, I’m only recommending pen-and-paper to store passwords. (AccessNow has a guide, though I think YubiKey/U2F keys for Facebook and GMail are the best).

2. Lock their phone (passcode, fingerprint, faceprint)
You’ll lose your phone at some point. It has the keys all all your accounts, like email and so on. With your email, phones thieves can then reset passwords on all your other accounts. Thus, it’s incredibly important to lock the phone.

Apple has made this especially easy with fingerprints (and now faceprints), so there’s little excuse not to lock the phone.

Note that Apple iPhones are the most secure. I give my mother my old iPhones so that they will have something secure.

My mom demonstrates a problem you’ll have with the older generation: she doesn’t reliably have her phone with her, and charged. She’s the opposite of my dad who religiously slaved to his phone. Even a small change to make her lock her phone means it’ll be even more likely she won’t have it with her when you need to call her.

3. WiFi (WPA)
Make sure their home WiFi is WPA encrypted. It probably already is, but it’s worthwhile checking.

The password should be written down on the same piece of paper as all the other passwords. This is importance. My parents just moved, Comcast installed a WiFi access point for them, and they promptly lost the piece of paper. When I wanted to debug some thing on their network today, they didn’t know the password, and couldn’t find the paper. Get that password written down in a place it won’t get lost!

Discourage them from extra security features like “SSID hiding” and/or “MAC address filtering”. They provide no security benefit, and actually make security worse. It means a phone has to advertise the SSID when away from home, and it makes MAC address randomization harder, both of which allows your privacy to be tracked.

If they have a really old home router, you should probably replace it, or at least update the firmware. A lot of old routers have hacks that allow hackers (like me masscaning the Internet) to easily break in.

4. Ad blockers or Brave

Most of the online tricks that will confuse your older parents will come via advertising, such as popups claiming “You are infected with a virus, click here to clean it”. Installing an ad blocker in the browser, such as uBlock Origin, stops most all this nonsense.

For example, here’s a screenshot of going to the “Speedtest” website to test the speed of my connection (I took this on the plane on the way home for Thanksgiving). Ignore the error (plane’s firewall Speedtest) — but instead look at the advertising banner across the top of the page insisting you need to download a browser extension. This is tricking you into installing malware — the ad appears as if it’s a message from Speedtest, it’s not. Speedtest is just selling advertising and has no clue what the banner says. This sort of thing needs to be blocked — it fools even the technologically competent.

uBlock Origin for Chrome is the one I use. Another option is to replace their browser with Brave, a browser that blocks ads, but at the same time, allows micropayments to support websites you want to support. I use Brave on my iPhone.
A side benefit of ad blockers or Brave is that web surfing becomes much faster, since you aren’t downloading all this advertising. The smallest NYtimes story is 15 megabytes in size due to all the advertisements, for example.

5. Cloud Backups
Do backups, in the cloud. It’s a good idea in general, especially with the threat of ransomware these days.

In particular, consider your photos. Over time, they will be lost, because people make no effort to keep track of them. All hard drives will eventually crash, deleting your photos. Sure, a few key ones are backed up on Facebook for life, but the rest aren’t.
There are so many excellent online backup services out there, like DropBox and Backblaze. Or, you can use the iCloud feature that Apple provides. My favorite is Microsoft’s: I already pay $99 a year for Office 365 subscription, and it comes with 1-terabyte of online storage.

6. Separate email accounts
You should have three email accounts: work, personal, and financial.

First, you really need to separate your work account from personal. The IT department is already getting misdirected emails with your spouse/lover that they don’t want to see. Any conflict with your work, such as getting fired, gives your private correspondence to their lawyers.

Second, you need a wholly separate account for financial stuff, like Amazon.com, your bank, PayPal, and so on. That prevents confusion with phishing attacks.

Consider this warning today:

If you had split accounts, you could safely ignore this. The USPS would only know your financial email account, which gets no phishing attacks, because it’s not widely known. When your receive the phishing attack on your personal email, you ignore it, because you know the USPS doesn’t know your personal email account.

Phishing emails are so sophisticated that even experts can’t tell the difference. Splitting financial from personal emails makes it so you don’t have to tell the difference — anything financial sent to personal email can safely be ignored.

7. Deauth those apps!

Twitter user @tompcoleman comments that we also need deauth apps.
Social media sites like Facebook, Twitter, and Google encourage you to enable “apps” that work their platforms, often demanding privileges to generate messages on your behalf. The typical scenario is that you use them only once or twice and forget about them.
A lot of them are hostile. For example, my niece’s twitter account would occasional send out advertisements, and she didn’t know why. It’s because a long time ago, she enabled an app with the permission to send tweets for her. I had to sit down and get rid of most of her apps.
Now would be a good time to go through your relatives Facebook, Twitter, and Google/GMail and disable those apps. Don’t be a afraid to be ruthless — they probably weren’t using them anyway. Some will still be necessary. For example, Twitter for iPhone shows up in the list of Twitter apps. The URL for editing these apps for Twitter is https://twitter.com/settings/applications. Google link is here (thanks @spextr). I don’t know of simple URLs for Facebook, but you should find it somewhere under privacy/security settings.
Update: Here’s a more complete guide for a even more social media services.
https://www.permissions.review/

8. Up-to-date software? maybe

I put this last because it can be so much work.

You should install the latest OS (Windows 10, macOS High Sierra), and also turn on automatic patching.

But remember it may not be worth the huge effort involved. I want my parents to be secure — but no so secure I have to deal with issues.

For example, when my parents updated their HP Print software, the icon on the desktop my mom usually uses to scan things in from the printer disappeared, and needed me to spend 15 minutes with her helping find the new way to access the software.
However, I did get my mom a new netbook to travel with instead of the old WinXP one. I want to get her a Chromebook, but she doesn’t want one.
For iOS, you can probably make sure their phones have the latest version without having these usability problems.

Conclusion

You can’t solve every problem for your relatives, but these are the more critical ones.

Resume AWS Step Functions from Any State

Post Syndicated from Andy Katz original https://aws.amazon.com/blogs/compute/resume-aws-step-functions-from-any-state/


Yash Pant, Solutions Architect, AWS


Aaron Friedman, Partner Solutions Architect, AWS

When we discuss how to build applications with customers, we often align to the Well Architected Framework pillars of security, reliability, performance efficiency, cost optimization, and operational excellence. Designing for failure is an essential component to developing well architected applications that are resilient to spurious errors that may occur.

There are many ways you can use AWS services to achieve high availability and resiliency of your applications. For example, you can couple Elastic Load Balancing with Auto Scaling and Amazon EC2 instances to build highly available applications. Or use Amazon API Gateway and AWS Lambda to rapidly scale out a microservices-based architecture. Many AWS services have built in solutions to help with the appropriate error handling, such as Dead Letter Queues (DLQ) for Amazon SQS or retries in AWS Batch.

AWS Step Functions is an AWS service that makes it easy for you to coordinate the components of distributed applications and microservices. Step Functions allows you to easily design for failure, by incorporating features such as error retries and custom error handling from AWS Lambda exceptions. These features allow you to programmatically handle many common error modes and build robust, reliable applications.

In some rare cases, however, your application may fail in an unexpected manner. In these situations, you might not want to duplicate in a repeat execution those portions of your state machine that have already run. This is especially true when orchestrating long-running jobs or executing a complex state machine as part of a microservice. Here, you need to know the last successful state in your state machine from which to resume, so that you don’t duplicate previous work. In this post, we present a solution to enable you to resume from any given state in your state machine in the case of an unexpected failure.

Resuming from a given state

To resume a failed state machine execution from the state at which it failed, you first run a script that dynamically creates a new state machine. When the new state machine is executed, it resumes the failed execution from the point of failure. The script contains the following two primary steps:

  1. Parse the execution history of the failed execution to find the name of the state at which it failed, as well as the JSON input to that state.
  2. Create a new state machine, which adds an additional state to failed state machine, called "GoToState". "GoToState" is a choice state at the beginning of the state machine that branches execution directly to the failed state, allowing you to skip states that had succeeded in the previous execution.

The full script along with a CloudFormation template that creates a demo of this is available in the aws-sfn-resume-from-any-state GitHub repo.

Diving into the script

In this section, we walk you through the script and highlight the core components of its functionality. The script contains a main function, which adds a command line parameter for the failedExecutionArn so that you can easily call the script from the command line:

python gotostate.py --failedExecutionArn '<Failed_Execution_Arn>'

Identifying the failed state in your execution

First, the script extracts the name of the failed state along with the input to that state. It does so by using the failed state machine execution history, which is identified by the Amazon Resource Name (ARN) of the execution. The failed state is marked in the execution history, along with the input to that state (which is also the output of the preceding successful state). The script is able to parse these values from the log.

The script loops through the execution history of the failed state machine, and traces it backwards until it finds the failed state. If the state machine failed in a parallel state, then it must restart from the beginning of the parallel state. The script is able to capture the name of the parallel state that failed, rather than any substate within the parallel state that may have caused the failure. The following code is the Python function that does this.


def parseFailureHistory(failedExecutionArn):

    '''
    Parses the execution history of a failed state machine to get the name of failed state and the input to the failed state:
    Input failedExecutionArn = A string containing the execution ARN of a failed state machine y
    Output = A list with two elements: [name of failed state, input to failed state]
    '''
    failedAtParallelState = False
    try:
        #Get the execution history
        response = client.get\_execution\_history(
            executionArn=failedExecutionArn,
            reverseOrder=True
        )
        failedEvents = response['events']
    except Exception as ex:
        raise ex
    #Confirm that the execution actually failed, raise exception if it didn't fail.
    try:
        failedEvents[0]['executionFailedEventDetails']
    except:
        raise('Execution did not fail')
        
    '''
    If you have a 'States.Runtime' error (for example, if a task state in your state machine attempts to execute a Lambda function in a different region than the state machine), get the ID of the failed state, and use it to determine the failed state name and input.
    '''
    
    if failedEvents[0]['executionFailedEventDetails']['error'] == 'States.Runtime':
        failedId = int(filter(str.isdigit, str(failedEvents[0]['executionFailedEventDetails']['cause'].split()[13])))
        failedState = failedEvents[-1 \* failedId]['stateEnteredEventDetails']['name']
        failedInput = failedEvents[-1 \* failedId]['stateEnteredEventDetails']['input']
        return (failedState, failedInput)
        
    '''
    You need to loop through the execution history, tracing back the executed steps.
    The first state you encounter is the failed state. If you failed on a parallel state, you need the name of the parallel state rather than the name of a state within a parallel state that it failed on. This is because you can only attach goToState to the parallel state, but not a substate within the parallel state.
    This loop starts with the ID of the latest event and uses the previous event IDs to trace back the execution to the beginning (id 0). However, it returns as soon it finds the name of the failed state.
    '''

    currentEventId = failedEvents[0]['id']
    while currentEventId != 0:
        #multiply event ID by -1 for indexing because you're looking at the reversed history
        currentEvent = failedEvents[-1 \* currentEventId]
        
        '''
        You can determine if the failed state was a parallel state because it and an event with 'type'='ParallelStateFailed' appears in the execution history before the name of the failed state
        '''

        if currentEvent['type'] == 'ParallelStateFailed':
            failedAtParallelState = True

        '''
        If the failed state is not a parallel state, then the name of failed state to return is the name of the state in the first 'TaskStateEntered' event type you run into when tracing back the execution history
        '''

        if currentEvent['type'] == 'TaskStateEntered' and failedAtParallelState == False:
            failedState = currentEvent['stateEnteredEventDetails']['name']
            failedInput = currentEvent['stateEnteredEventDetails']['input']
            return (failedState, failedInput)

        '''
        If the failed state was a parallel state, then you need to trace execution back to the first event with 'type'='ParallelStateEntered', and return the name of the state
        '''

        if currentEvent['type'] == 'ParallelStateEntered' and failedAtParallelState:
            failedState = failedState = currentEvent['stateEnteredEventDetails']['name']
            failedInput = currentEvent['stateEnteredEventDetails']['input']
            return (failedState, failedInput)
        #Update the ID for the next execution of the loop
        currentEventId = currentEvent['previousEventId']
        

Create the new state machine

The script uses the name of the failed state to create the new state machine, with "GoToState" branching execution directly to the failed state.

To do this, the script requires the Amazon States Language (ASL) definition of the failed state machine. It modifies the definition to append "GoToState", and create a new state machine from it.

The script gets the ARN of the failed state machine from the execution ARN of the failed state machine. This ARN allows it to get the ASL definition of the failed state machine by calling the DesribeStateMachine API action. It creates a new state machine with "GoToState".

When the script creates the new state machine, it also adds an additional input variable called "resuming". When you execute this new state machine, you specify this resuming variable as true in the input JSON. This tells "GoToState" to branch execution to the state that had previously failed. Here’s the function that does this:

def attachGoToState(failedStateName, stateMachineArn):

    '''
    Given a state machine ARN and the name of a state in that state machine, create a new state machine that starts at a new choice state called 'GoToState'. "GoToState" branches to the named state, and sends the input of the state machine to that state, when a variable called "resuming" is set to True.
    Input failedStateName = A string with the name of the failed state
          stateMachineArn = A string with the ARN of the state machine
    Output response from the create_state_machine call, which is the API call that creates a new state machine
    '''

    try:
        response = client.describe\_state\_machine(
            stateMachineArn=stateMachineArn
        )
    except:
        raise('Could not get ASL definition of state machine')
    roleArn = response['roleArn']
    stateMachine = json.loads(response['definition'])
    #Create a name for the new state machine
    newName = response['name'] + '-with-GoToState'
    #Get the StartAt state for the original state machine, because you point the 'GoToState' to this state
    originalStartAt = stateMachine['StartAt']

    '''
    Create the GoToState with the variable $.resuming.
    If new state machine is executed with $.resuming = True, then the state machine skips to the failed state.
    Otherwise, it executes the state machine from the original start state.
    '''

    goToState = {'Type':'Choice', 'Choices':[{'Variable':'$.resuming', 'BooleanEquals':False, 'Next':originalStartAt}], 'Default':failedStateName}
    #Add GoToState to the set of states in the new state machine
    stateMachine['States']['GoToState'] = goToState
    #Add StartAt
    stateMachine['StartAt'] = 'GoToState'
    #Create new state machine
    try:
        response = client.create_state_machine(
            name=newName,
            definition=json.dumps(stateMachine),
            roleArn=roleArn
        )
    except:
        raise('Failed to create new state machine with GoToState')
    return response

Testing the script

Now that you understand how the script works, you can test it out.

The following screenshot shows an example state machine that has failed, called "TestMachine". This state machine successfully completed "FirstState" and "ChoiceState", but when it branched to "FirstMatchState", it failed.

Use the script to create a new state machine that allows you to rerun this state machine, but skip the "FirstState" and the "ChoiceState" steps that already succeeded. You can do this by calling the script as follows:

python gotostate.py --failedExecutionArn 'arn:aws:states:us-west-2:<AWS_ACCOUNT_ID>:execution:TestMachine-with-GoToState:b2578403-f41d-a2c7-e70c-7500045288595

This creates a new state machine called "TestMachine-with-GoToState", and returns its ARN, along with the input that had been sent to "FirstMatchState". You can then inspect the input to determine what caused the error. In this case, you notice that the input to "FirstMachState" was the following:

{
"foo": 1,
"Message": true
}

However, this state machine expects the "Message" field of the JSON to be a string rather than a Boolean. Execute the new "TestMachine-with-GoToState" state machine, change the input to be a string, and add the "resuming" variable that "GoToState" requires:

{
"foo": 1,
"Message": "Hello!",
"resuming":true
}

When you execute the new state machine, it skips "FirstState" and "ChoiceState", and goes directly to "FirstMatchState", which was the state that failed:

Look at what happens when you have a state machine with multiple parallel steps. This example is included in the GitHub repository associated with this post. The repo contains a CloudFormation template that sets up this state machine and provides instructions to replicate this solution.

The following state machine, "ParallelStateMachine", takes an input through two subsequent parallel states before doing some final processing and exiting, along with the JSON with the ASL definition of the state machine.

{
  "Comment": "An example of the Amazon States Language using a parallel state to execute two branches at the same time.",
  "StartAt": "Parallel",
  "States": {
    "Parallel": {
      "Type": "Parallel",
      "ResultPath":"$.output",
      "Next": "Parallel 2",
      "Branches": [
        {
          "StartAt": "Parallel Step 1, Process 1",
          "States": {
            "Parallel Step 1, Process 1": {
              "Type": "Task",
              "Resource": "arn:aws:lambda:us-west-2:XXXXXXXXXXXX:function:LambdaA",
              "End": true
            }
          }
        },
        {
          "StartAt": "Parallel Step 1, Process 2",
          "States": {
            "Parallel Step 1, Process 2": {
              "Type": "Task",
              "Resource": "arn:aws:lambda:us-west-2:XXXXXXXXXXXX:function:LambdaA",
              "End": true
            }
          }
        }
      ]
    },
    "Parallel 2": {
      "Type": "Parallel",
      "Next": "Final Processing",
      "Branches": [
        {
          "StartAt": "Parallel Step 2, Process 1",
          "States": {
            "Parallel Step 2, Process 1": {
              "Type": "Task",
              "Resource": "arn:aws:lambda:us-west-2:XXXXXXXXXXXXX:function:LambdaB",
              "End": true
            }
          }
        },
        {
          "StartAt": "Parallel Step 2, Process 2",
          "States": {
            "Parallel Step 2, Process 2": {
              "Type": "Task",
              "Resource": "arn:aws:lambda:us-west-2:XXXXXXXXXXXX:function:LambdaB",
              "End": true
            }
          }
        }
      ]
    },
    "Final Processing": {
      "Type": "Task",
      "Resource": "arn:aws:lambda:us-west-2:XXXXXXXXXXXX:function:LambdaC",
      "End": true
    }
  }
}

First, use an input that initially fails:

{
  "Message": "Hello!"
}

This fails because the state machine expects you to have a variable in the input JSON called "foo" in the second parallel state to run "Parallel Step 2, Process 1" and "Parallel Step 2, Process 2". Instead, the original input gets processed by the first parallel state and produces the following output to pass to the second parallel state:

{
"output": [
    {
      "Message": "Hello!"
    },
    {
      "Message": "Hello!"
    }
  ],
}

Run the script on the failed state machine to create a new state machine that allows it to resume directly at the second parallel state instead of having to redo the first parallel state. This creates a new state machine called "ParallelStateMachine-with-GoToState". The following JSON was created by the script to define the new state machine in ASL. It contains the "GoToState" value that was attached by the script.

{
   "Comment":"An example of the Amazon States Language using a parallel state to execute two branches at the same time.",
   "States":{
      "Final Processing":{
         "Resource":"arn:aws:lambda:us-west-2:XXXXXXXXXXXX:function:LambdaC",
         "End":true,
         "Type":"Task"
      },
      "GoToState":{
         "Default":"Parallel 2",
         "Type":"Choice",
         "Choices":[
            {
               "Variable":"$.resuming",
               "BooleanEquals":false,
               "Next":"Parallel"
            }
         ]
      },
      "Parallel":{
         "Branches":[
            {
               "States":{
                  "Parallel Step 1, Process 1":{
                     "Resource":"arn:aws:lambda:us-west-2:XXXXXXXXXXXX:function:LambdaA",
                     "End":true,
                     "Type":"Task"
                  }
               },
               "StartAt":"Parallel Step 1, Process 1"
            },
            {
               "States":{
                  "Parallel Step 1, Process 2":{
                     "Resource":"arn:aws:lambda:us-west-2:XXXXXXXXXXXX:LambdaA",
                     "End":true,
                     "Type":"Task"
                  }
               },
               "StartAt":"Parallel Step 1, Process 2"
            }
         ],
         "ResultPath":"$.output",
         "Type":"Parallel",
         "Next":"Parallel 2"
      },
      "Parallel 2":{
         "Branches":[
            {
               "States":{
                  "Parallel Step 2, Process 1":{
                     "Resource":"arn:aws:lambda:us-west-2:XXXXXXXXXXXX:function:LambdaB",
                     "End":true,
                     "Type":"Task"
                  }
               },
               "StartAt":"Parallel Step 2, Process 1"
            },
            {
               "States":{
                  "Parallel Step 2, Process 2":{
                     "Resource":"arn:aws:lambda:us-west-2:XXXXXXXXXXXX:function:LambdaB",
                     "End":true,
                     "Type":"Task"
                  }
               },
               "StartAt":"Parallel Step 2, Process 2"
            }
         ],
         "Type":"Parallel",
         "Next":"Final Processing"
      }
   },
   "StartAt":"GoToState"
}

You can then execute this state machine with the correct input by adding the "foo" and "resuming" variables:

{
  "foo": 1,
  "output": [
    {
      "Message": "Hello!"
    },
    {
      "Message": "Hello!"
    }
  ],
  "resuming": true
}

This yields the following result. Notice that this time, the state machine executed successfully to completion, and skipped the steps that had previously failed.


Conclusion

When you’re building out complex workflows, it’s important to be prepared for failure. You can do this by taking advantage of features such as automatic error retries in Step Functions and custom error handling of Lambda exceptions.

Nevertheless, state machines still have the possibility of failing. With the methodology and script presented in this post, you can resume a failed state machine from its point of failure. This allows you to skip the execution of steps in the workflow that had already succeeded, and recover the process from the point of failure.

To see more examples, please visit the Step Functions Getting Started page.

If you have questions or suggestions, please comment below.

…or, how I learned not to be a jerk in 20 short years

Post Syndicated from Michal Zalewski original http://lcamtuf.blogspot.com/2017/02/or-how-i-learned-not-to-be-jerk-in-20.html

People who are accomplished in one field of expertise tend to believe that they can bring unique insights to just about any other debate.
I am as guilty as anyone: at one time or another, I aired my thoughts on anything from
CNC manufacturing, to
electronics, to
emergency preparedness, to
politics.
Today, I’m about to commit the same sin – but instead of pretending to speak from a position of authority, I wanted to share a more personal tale.



The author, circa 1995. The era of hand-crank computers and punch cards.

Back in my school days, I was that one really tall and skinny kid in the class. It wasn’t trying to stay this way; I preferred computer games to sports, and my grandma’s Polish cooking was heavy on potatoes, butter, chicken, dumplings, cream, and cheese. But that did not matter: I could eat what I wanted, as often as I wanted, and I still stayed in shape. This made me look down on chubby kids; if my reckless ways had little or no effect on my body, it followed that they had to be exceptionally lazy and must have lacked even the most basic form of self-control.

As I entered adulthood, my habits remained the same. I felt healthy and stayed reasonably active, walking to and from work every other day and hiking with friends whenever I could. But my looks started to change:



The author at a really exciting BlackHat party in 2002.

I figured it’s just a part of growing up. But somewhere around my twentieth birthday, I stepped on a bathroom scale and typed the result into an online calculator. I was surprised to find out that my BMI was about 24 – pretty darn close to overweight.

“Pssh, you know how inaccurate these things are!”, I exclaimed while searching online to debunk that whole BMI thing. I mean, sure, I had some belly fat – maybe a pizza or two too far – but nothing that wouldn’t go away in time. Besides, I was doing fine, so what would be the point of submitting to the society’s idea of the “right” weight?

It certainly helped that I was having a blast at work. I made a name for myself in the industry, published a fair amount of cool research, authored a book, settled down, bought a house, had a kid. It wasn’t until the age of 26 that I strayed into a doctor’s office for a routine checkup. When the nurse asked me about my weight, I blurted out “oh, 175 pounds, give or take”. She gave me a funny look and asked me to step on the scale.

Turns out it was quite a bit more than 175 pounds. With a BMI of 27.1, I was now firmly into the “overweight” territory. Yeah yeah, the BMI metric was a complete hoax – but why did my passport photos look less flattering than before?



A random mugshot from 2007. Some people are just born big-boned, I think.

Well, damn. I knew what had to happen: from now on, I was going to start eating healthier foods. I traded Cheetos for nuts, KFC for sushi rolls, greasy burgers for tortilla wraps, milk smoothies for Jamba Juice, fries for bruschettas, regular sodas for diet. I’d even throw in a side of lettuce every now and then. It was bound to make a difference. I just wasn’t gonna be one of the losers who check their weight every day and agonize over every calorie on their plate. (Weren’t calories a scam, anyway? I think I read that on that cool BMI conspiracy site.)

By the time I turned 32, my body mass index hit 29. At that point, it wasn’t just a matter of looking chubby. I could do the math: at that rate, I’d be in a real pickle in a decade or two – complete with a ~50% chance of developing diabetes or cardiovascular disease. This wouldn’t just make me miserable, but also mess up the lives of my spouse and kids.



Presenting at Google TGIF in 2013. It must’ve been the unflattering light.

I wanted to get this over with right away, so I decided to push myself hard. I started biking to work, quite a strenuous ride. It felt good, but did not help: I would simply eat more to compensate and ended up gaining a few extra pounds. I tried starving myself. That worked, sure – only to be followed by an even faster rebound. Ultimately, I had to face the reality: I had a problem and I needed a long-term solution. There was no one weird trick to outsmart the calorie-counting crowd, no overnight cure.

I started looking for real answers. My world came crumbling down; I realized that a “healthy” burrito from Chipotle packed four times as many calories as a greasy burger from McDonald’s. That a loaded fruit smoothie from Jamba Juice was roughly equal to two hot dogs with a side of mashed potatoes to boot. That a glass of apple juice fared worse than a can of Sprite, and that bruschetta wasn’t far from deep-fried butter on a stick. It didn’t matter if it was sugar or fat, bacon or kale. Familiar favorites were not better or worse than the rest. Losing weight boiled down to portion control – and sticking to it for the rest of my life.

It was a slow and humbling journey that spanned almost a year. I ended up losing around 70 lbs along the way. What shocked me is that it wasn’t a painful experience; what held me back for years was just my own smugness, plus the folksy wisdom gleaned from the covers of glossy magazines.



Author with a tractor, 2017.

I’m not sure there is a moral to this story. I guess one lesson is: don’t be a judgmental jerk. Sometimes, the simple things – the ones you think you have all figured out – prove to be a lot more complicated than they seem.

Case 232: Education

Post Syndicated from The Codeless Code original http://thecodelesscode.com/case/232

For years the young monk Djishin had been apprenticed to
old master Banzen. Although this was a privilege it
brought Djishin little joy, for lately the master had been
growing visibly irritated with the young monk. Yet the monk
could not fathom the reason.

One morning Djishin said to his fellow apprentice Satou:
I have committed Banzen’s teachings to heart and perform my
duties according to his example, yet his disdain for me is
palpable! And whenever I ask if I have done anything to
incur his displeasure, he tells me No! I am at my wit’s end
with the old man!

Satou replied: If you can no longer march uphill, then the
way forward is not in front of you.

Djishin said: I cannot quit his service any more than I
could bite my own legs off. Yet my patience has waned to
the thinnest sliver. Soon, I fear, the master will push me
too far, and I will surely rebel.

Satou replied: Then run from the path and don’t look back;
for I cannot see your rebellion ending well for anyone, except
perhaps the undertaker.

- - -

Not long after, Banzen was reviewing Satou’s code and noted
that she was now using Java’s new Optional class
practically everywhere. Banzen scolded the nun for her
usual habit of playing with novelties instead of focusing
her efforts on building a reliable implementation with
customary patterns.

Overhearing this exchange, Djishin felt the last dregs of
patience drain from his body.
The monk spat: Optional is no passing fad; it is Java’s
implementation of the Maybe monad, and any fool who truly
cares about reliable implementations would do well to
follow the nun’s example!

There followed an awful silence. No one moved.
Djishin could feel his heart pounding in his ears.

Finally the master arched a bushy white eyebrow, saying:
And what—my impertinent, former apprentice—is a Monad?

With a shaky voice, Djishin explained the nature of monads and
how he had learned of them.
When he finished, Banzen strode over to the monk, raised his staff,
and flung both arms around the boy.

At last! exclaimed the master.
I have been wondering whether I’d trained a monk or a mockingbird.
Now I can say to the other masters: on this day I learned two things,
for at last Djishin told me something that I did not know.

Case 229: The Recommended Approach

Post Syndicated from The Codeless Code original http://thecodelesscode.com/case/229

A certain monk heard that master Suku knew the secret of
designing code for maximum reusability. But whenever the
monk begged the master to share her wisdom, Suku only walked
away. Exasperated, the monk asked one of Suku’s three
apprentices for help.

“To learn the master’s great secret, you must approach her
correctly,” explained the apprentice. “Come; I shall assist
you.”

The apprentice gave the monk special ceremonial robes, which
were several sizes too large and had to be wound twice
around his arms and legs. To keep the robes from unraveling
the apprentice tied a long sash tightly around the monk’s
body from wrists to ankles. When the monk protested that
walking was now impossible, the apprentice only nodded,
saying that the monk was meant to approach Suku on his belly,
with his head low and his feet high.

Angrily the monk writhed slowly down the corridor on his
stomach, cursing Suku and wondering whether any information could
possibly be worth such ridiculous effort.

At this thought, the monk was suddenly enlightened.

Qi’s commentary

Some masters answer a question with a single gesture; Suku
answered without even being asked. The master has a most
efficient API indeed, for she returns a usable value even
when her function is not called.

Qi’s poem

The general wanted a mount that could cross the Empire.
The groom delivered only a plush saddle.
Many fine horses stumble on stony roads—
Sometimes even a general should think with his posterior.