Amazon Q Business, now generally available, helps boost workforce productivity with generative AI

2024-04-30 Channy Yun

Post Syndicated from Channy Yun original https://aws.amazon.com/blogs/aws/amazon-q-business-now-generally-available-helps-boost-workforce-productivity-with-generative-ai/

At AWS re:Invent 2023, we previewed Amazon Q Business, a generative artificial intelligence (generative AI)–powered assistant that can answer questions, provide summaries, generate content, and securely complete tasks based on data and information in your enterprise systems.

With Amazon Q Business, you can deploy a secure, private, generative AI assistant that empowers your organization’s users to be more creative, data-driven, efficient, prepared, and productive. During the preview, we heard lots of customer feedback and used that feedback to prioritize our enhancements to the service.

Today, we are announcing the general availability of Amazon Q Business with many new features, including custom plugins, and a preview of Amazon Q Apps, generative AI–powered customized and sharable applications using natural language in a single step for your organization.

In this blog post, I will briefly introduce the key features of Amazon Q Business with the new features now available and take a look at the features of Amazon Q Apps. Let’s get started!

Introducing Amazon Q Business
Amazon Q Business connects seamlessly to over 40 popular enterprise data sources and stores document and permission information, including Amazon Simple Storage Service (Amazon S3), Microsoft 365, and Salesforce. It ensures that you access content securely with existing credentials using single sign-on, according to your permissions, and also includes enterprise-level access controls.

Amazon Q Business makes it easy for users to get answers to questions like company policies, products, business results, or code, using its web-based chat assistant. You can point Amazon Q Business at your enterprise data repositories, and it’ll search across all data, summarize logically, analyze trends, and engage in dialog with users.

With Amazon Q Business, you can build secure and private generative AI assistants with enterprise-grade access controls at scale. You can also use administrative guardrails, document enrichment, and relevance tuning to customize and control responses that are consistent with your company’s guidelines.

Here are the key features of Amazon Q Business with new features now available:

End-user web experience
With the built-in web experience, you can ask a question, receive a response, and then ask follow-up questions and add new information with in-text source citations while keeping the context from the previous answer. You can only get a response from data sources that you have access to.

With general availability, we’re introducing a new content creation mode in the web experience. In this mode, Amazon Q Business does not use or access the enterprise content but instead uses generative AI models built into Amazon Q Business for creative use cases such as summarization of responses and crafting personalized emails. To use the content creation mode, you can turn off Respond from approved sources in the conversation settings.

To learn more, visit Using an Amazon Q Business web experience and Customizing an Amazon Q Business web experience in the AWS documentation.

Pre-built data connectors and plugins
You can connect, index, and sync your enterprise data using over 40 pre-built data connectors or an Amazon Kendra retriever, as well as web crawling or uploading your documents directly.

Amazon Q Business ingests content using a built-in semantic document retriever. It also retrieves and respects permission information such as access control lists (ACLs) to allow it to manage access to the data after retrieval. When the data is ingested, your data is secured with the Service-managed key of AWS Key Management Service (AWS KMS).

You can configure plugins to perform actions in enterprise systems, including Jira, Salesforce, ServiceNow, and Zendesk. Users can create a Jira issue or a Salesforce case while chatting in the chat assistant. You can also deploy a Microsoft Teams gateway or a Slack gateway to use an Amazon Q Business assistant in your teams or channels.

With general availability, you can build custom plugins to connect to any third-party application through APIs so that users can use natural language prompts to perform actions such as submitting time-off requests or sending meeting invites directly through Amazon Q Business assistant. Users can also search real-time data, such as time-off balances, scheduled meetings, and more.

When you choose Custom plugin, you can define an OpenAPI schema to connect your third-party application. You can upload the OpenAPI schema to Amazon S3 or copy it to the Amazon Q Business console in-line schema editor compatible with the Swagger OpenAPI specification.

To learn more, visit Data source connectors and Configure plugins in the AWS documentation.

Admin control and guardrails
You can configure global controls to give users the option to either generate large language model (LLM)-only responses or generate responses from connected data sources. You can specify whether all chat responses will be generated using only enterprise data or whether your application can also use its underlying LLM to generate responses when it can’t find answers in your enterprise data. You can also block specific words.

With topic-level controls, you can specify restricted topics and configure behavior rules in response to the topics, such as answering using enterprise data or blocking completely.

To learn more, visit Admin control and guardrails in the AWS documentation.

You can alter document metadata or attributes and content during the document ingestion process by configuring basic logic to specify a metadata field name, select a condition, and enter or select a value and target actions, such as update or delete. You can also use AWS Lambda functions to manipulate document fields and content, such as using optical character recognition (OCR) to extract text from images.

To learn more, visit Document attributes and types in Amazon Q Business and Document enrichment in Amazon Q Business in the AWS documentation.

Enhanced enterprise-grade security and management
Starting April 30, you will need to use AWS IAM Identity Center for user identity management of all new applications rather than using the legacy identity management. You can securely connect your workforce to Amazon Q Business applications either in the web experience or your own interface.

You can also centrally manage workforce access using IAM Identity Center alongside your existing IAM roles and policies. As the number of your accounts scales, IAM Identity Center gives you the option to use it as a single place to manage user access to all your applications. To learn more, visit Setting up Amazon Q Business with IAM Identity Center in the AWS documentation.

At general availability, Amazon Q Business is now integrated with various AWS services to securely connect and store the data and easily deploy and track access logs.

You can use AWS PrivateLink to access Amazon Q Business securely in your Amazon Virtual Private Cloud (Amazon VPC) environment using a VPC endpoint. You can use the Amazon Q Business template for AWS CloudFormation to easily automate the creation and provisioning of infrastructure resources. You can also use AWS CloudTrail to record actions taken by a user, role, or AWS service in Amazon Q Business.

Also, we support Federal Information Processing Standards (FIPS) endpoints, based on the United States and Canadian government standards and security requirements for cryptographic modules that protect sensitive information.

To learn more, visit Security in Amazon Q Business and Monitoring Amazon Q Business in the AWS documentation.

Build and share apps with new Amazon Q Apps (preview)
Today we are announcing the preview of Amazon Q Apps, a new capability within Amazon Q Business for your organization’s users to easily and quickly create generative AI-powered apps based on company data, without requiring any prior coding experience.

With Amazon Q Apps, users simply describe the app they want, in natural language, or they can take an existing conversation where Amazon Q Business helped them solve a problem. With a few clicks, Amazon Q Business will instantly generate an app that accomplishes their desired task that can be easily shared across their organization.

If you are familiar with PartyRock, you can easily use this code-free builder with the added benefit of connecting it to your enterprise data already with Amazon Q Business.

To create a new Amazon Q App, choose Apps in your web experience and enter a simple text expression for a task in the input box. You can try out samples, such as a content creator, interview question generator, meeting note summarizer, and grammar checker.

I will make a document assistant to review and correct a document using the following prompt:

You are a professional editor tasked with reviewing and correcting a document for grammatical errors, spelling mistakes, and inconsistencies in style and tone. Given a file, your goal is to recommend changes to ensure that the document adheres to the highest standards of writing while preserving the author’s original intent and meaning. You should provide a numbered list for all suggested revisions and the supporting reason.

When you choose the Generate button, a document editing assistant app will be automatically generated with two cards—one to upload a document file as an input and another text output card that gives edit suggestions.

When you choose the Add card button, you can add more cards, such as a user input, text output, file upload, or pre-configured plugin by your administrator. If you want to create a Jira ticket to request publishing a post in the corporate blog channel as an author, you can add a Jira Plugin with the result of edited suggestions from the uploaded file.

Once you are ready to share the app, choose the Publish button. You can securely share this app to your organization’s catalog for others to use, enhancing productivity. Your colleagues can choose shared apps, modify them, and publish their own versions to the organizational catalog instead of starting from scratch.

Choose Library to see all of the published Amazon Q Apps. You can search the catalog by labels and open your favorite apps.

Amazon Q Apps inherit robust security and governance controls from Amazon Q Business, including user authentication and access controls, which empower organizations to safely share apps across functions that warrant governed collaboration and innovation.

In the administrator console, you can see your Amazon Q Apps and control or remove them from the library.

To learn more, visit Amazon Q Apps in the AWS documentation.

Now available
Amazon Q Business is generally available today in the US East (N. Virginia) and US West (Oregon) Regions. We are launching two pricing subscription options.

The Amazon Q Business Lite ($3/user/month) subscription provides users access to the basic functionality of Amazon Q Business.

The Amazon Business Pro ($20/user/month) subscription gets users access to all features of Amazon Q Business, as well as Amazon Q Apps (preview) and Amazon Q in QuickSight (Reader Pro), which enhances business analyst and business user productivity using generative business intelligence capabilities.

You can use the free trial (50 users for 60 days) to experiment with Amazon Q Business. For more information about pricing options, visit Amazon Q Business Plan page.

To learn more about Amazon Q Business, you can study Amazon Q Business Getting Started, a free, self-paced digital course on AWS Skill Builder and Amazon Q Developer Center to get more sample codes.

Give it a try in the Amazon Q Business console today! For more information, visit the Amazon Q Business product page and the User Guide in the AWS documentation. Provide feedback to AWS re:Post for Amazon Q or through your usual AWS support contacts.

— Channy

Amazon Q Developer, now generally available, includes new capabilities to reimagine developer experience

2024-04-30 Donnie Prakoso

Post Syndicated from Donnie Prakoso original https://aws.amazon.com/blogs/aws/amazon-q-developer-now-generally-available-includes-new-capabilities-to-reimagine-developer-experience/

When Amazon Web Services (AWS) launched Amazon Q Developer as a preview last year, it changed my experience of interacting with AWS services and, at the same time, maximizing the potential of AWS services on a daily basis. Trained on 17 years of AWS knowledge and experience, this generative artificial intelligence (generative AI)–powered assistant helps me build applications on AWS, research best practices, perform troubleshooting, and resolve errors.

Today, we are announcing the general availability of Amazon Q Developer. In this announcement, we have a few updates, including new capabilities. Let’s get started.

New: Amazon Q Developer has knowledge of your AWS account resources
This new capability helps you understand and manage your cloud infrastructure on AWS. With this capability, you can list and describe your AWS resources using natural language prompts, minimizing friction in navigating the AWS Management Console and compiling all information from documentation pages.

To get started, you can navigate to the AWS Management Console and select the Amazon Q Developer icon.

With this new capability, I can ask Amazon Q Developer to list all of my AWS resources. For example, if I ask Amazon Q Developer, “List all of my Lambda functions,” Amazon Q Developer returns the response with a set of my AWS Lambda functions as requested, as well as deep links so I can navigate to each resource easily.

Prompt for you to try: List all of my Lambda functions.

I can also list my resources residing in other AWS Regions without having to navigate through the AWS Management Console.

Prompt for you to try: List my Lambda functions in the Singapore Region.

Not only that, this capability can also generate AWS Command Line Interface (AWS CLI) commands so I can make changes immediately. Here, I ask Amazon Q Developer to change the timeout configuration for my Lambda function.

Prompt for you to try: Change the timeout for Lambda function <NAME of AWS LAMBDA FUNCTION> in the Singapore Region to 10 seconds.

I can see Amazon Q Developer generated an AWS CLI command for me to perform the action. Next, I can copy and paste the command into my terminal to perform the change.

$> aws lambda update-function-configuration --function-name <AWS_LAMBDA_FUNCTION_NAME> --region ap-southeast-1 --timeout 10
{
    "FunctionName": "<AWS_LAMBDA_FUNCTION_NAME>",
    "FunctionArn": "arn:aws:lambda:ap-southeast-1:<ACCOUNT_ID>:function:<AWS_LAMBDA_FUNCTION_NAME>",
    "Runtime": "python3.8",
    "Role": "arn:aws:iam::<ACCOUNT_ID>:role/service-role/-role-1o58f7qb",
    "Handler": "lambda_function.lambda_handler",
    "CodeSize": 399,
    "Description": "",
    "Timeout": 10,
...
<truncated for brevity> }

What I really like about this capability is that it minimizes the time and effort needed to get my account information in the AWS Management Console and generate AWS CLI commands so I can immediately implement any changes that I need. This helps me focus on my workflow to manage my AWS resources.

Amazon Q Developer can now help you understand your costs (preview)
To fully maximize the value of cloud spend, I need to have a thorough understanding of my cloud costs. With this capability, I can get answers to AWS cost-related questions using natural language. This capability works by retrieving and analyzing cost data from AWS Cost Explorer.

Recently, I’ve been building a generative AI demo using Amazon SageMaker JumpStart, and this is the right timing because I need to know the total spend. So, I ask Amazon Q Developer the following prompt to know my spend in Q1 this year.

Prompt for you to try: What were the top three highest-cost services in Q1?

From the Amazon Q response, I can further investigate this result by selecting the Cost Explorer URL, which will bring me to the AWS Cost Explorer dashboard. Then, I can follow up with this prompt:

Prompt for you to try: List services in my account which have the most increment month over month. Provide details and analysis.

In short, this capability makes it easier for me to develop a deep understanding and get valuable insights into my cloud spending.

Amazon Q extension for IDEs
As part of the update, we also released an Amazon Q integrated development environment (IDE) extension for Visual Studio Code and JetBrains IDEs. Now, you will see two extensions in the IDE marketplaces: (1) Amazon Q and (2) AWS Toolkit.

If you’re a new user, after installing the Amazon Q extension, you will see a sign-in page in the IDE with two options: using AWS Builder ID or single sign-on. You can continue to use Amazon Q normally.

For existing users, you will need to update the AWS Toolkit extension in your IDEs. Once you’ve finished the update, if you have existing Amazon Q and Amazon CodeWhisperer connections, even if they’re expired, the new Amazon Q extension will be automatically installed for you.

If you’re using Visual Studio 2022, you can use Amazon Q Developer as part of the AWS Toolkit for Visual Studio 2022 extension.

Free access for advanced capabilities in IDE
As you might know, you can use AWS Builder ID to start using Amazon Q Developer in your preferred IDEs. Now, with this announcement, you have free access to two existing advanced capabilities of Amazon Q Developer in IDE, Amazon Q Developer Agent for software development and Amazon Q Developer Agent for code transformation. I’m really excited about this update!

With the Amazon Q Developer Agent for software development, Amazon Q Developer can help you develop code features for projects in your IDE. To get started, you enter /dev in the Amazon Q Developer chat panel. My colleague Séb shared with me the following screenshot when he was using this capability for his support case project. He used the following prompt to generate an implementation plan for creating a new API in AWS Lambda:

Prompt for you to try: Add an API to list all support cases. Expose this API as a new Lambda function

Amazon Q Developer then provides an initial plan and you can keep on iterating this plan until you’re sure mostly everything is covered. Then, you can accept the plan and select Insert code.

The other capability you can access using AWS Builder ID is Developer Agent for code transformation. This capability will help you in upgrading your Java applications in IntelliJ or Visual Studio Code. Danilo described this capability last year, and you can see his thorough journey in Upgrade your Java applications with Amazon Q Code Transformation (preview).

Improvements in Amazon Q Developer Agent for Code Transformation
The new transformation plan provides details specific to my applications to help me understand the overall upgrade process. To get started, I enter /transform in the Amazon Q Developer chat and provide the necessary details for Amazon Q to start upgrading my java project.

In the first step, Amazon Q identifies and provides details on the Java Development Kit (JDK) version, dependencies, and related code that needs to be updated. The dependencies upgrades now include upgrading popular frameworks to their latest major versions. For example, if you’re building with Spring Boot, it now gets upgraded to version 3 as part of the Java 17 upgrade.

In this step, if Amazon Q identifies any deprecated code that Java language specifications recommend replacing, it will make those updates automatically during the upgrade. This is a new enhancement to Amazon Q capabilities and is available now.

In the third step, this capability will build and run unit tests on the upgraded code, including fixing any issues to ensure the code compilation process will run smoothly after the upgrade.

With this capability, you can upgrade Java 8 and 11 applications that are built using Apache Maven to Java version 17. To get started with the Amazon Q Developer Agent for code transformation capability, you can read and follow the steps at Upgrade language versions with Amazon Q Code Transformation. We also have sample code for you to try this capability.

Things to know

Availability — To learn more about the availability of Amazon Q Developer capabilities, please visit Amazon Q Developer FAQs page.
Pricing — Amazon Q Developer now offers two pricing tiers – Free (free), and Pro, at $19/month/user.
Free self-paced course on AWS Skill Builder — Amazon Q Introduction is a 15-minute course that provides a high-level overview of Amazon Q, a generative AI–powered assistant, and the use cases and benefits of using it. This course is part of Amazon’s AI Ready initiative to provide free AI skills training to 2 million people globally by 2025.

Visit our Amazon Q Developer Center to find deep-dive technical content and to discover how you can speed up your software development work.

Happy building,
— Donnie

This Day In History: April 29

2024-04-30 The History Guy: History Deserves to Be Remembered

Post Syndicated from The History Guy: History Deserves to Be Remembered original https://www.youtube.com/watch?v=QiyNsm5wRRs

WhatsApp in India

2024-04-30 Bruce Schneier

Post Syndicated from Bruce Schneier original https://www.schneier.com/blog/archives/2024/04/whatsapp-in-india.html

Meta has threatened to pull WhatsApp out of India if the courts try to force it to break its end-to-end encryption.

Teaching a generation of AI innovators in Malaysia with Experience AI

2024-04-30 Aimy Lee, Penang Science Cluster

Post Syndicated from Aimy Lee, Penang Science Cluster original https://www.raspberrypi.org/blog/teaching-a-generation-of-ai-innovators-in-malaysia-with-experience-ai/

Today’s blog is from Aimy Lee, Chief Operating Officer at Penang Science Cluster, part of our global partner network for Experience AI.

Artificial intelligence (AI) is transforming the world at an incredible pace, and at Penang Science Cluster, we are determined to be at the forefront of this fast-changing landscape.

A teacher delivers a lesson in a classroom while students sit at their desks and listen.

The Malaysian government is actively promoting AI literacy among citizens, demonstrating a commitment to the nation’s technological advancement. This dedication is further demonstrated by the Ministry of Education’s recent announcement to introduce AI basics into the primary school curriculum, starting in 2027.

Why we chose Experience AI

At Penang Science Cluster, we firmly believe that AI is already an essential part of everybody’s future, especially for young people, for whom technologies such as search engines, AI chatbots, image generation, and facial recognition are already deeply ingrained in their daily experiences. It is vital that we equip young people with the knowledge to understand, harness, and even create AI solutions, rather than view AI with trepidation.

With this in mind, we’re excited to be one of the first of many organisations to join the Experience AI global partner network. Experience AI is a free educational programme offering cutting-edge resources on artificial intelligence and machine learning for teachers and students. Developed in collaboration between the Raspberry Pi Foundation and Google DeepMind, as a global partner we hope the programme will bring AI literacy to thousands of students across Malaysia.

Our goal is to demystify AI and highlight its potential for positive change. The Experience AI programme resonated with our mission to provide accessible and engaging resources tailored for our beneficiaries, making it a natural fit for our efforts.

Experience AI pilot: Results and student voices

At the start of this year, we ran an Experience AI pilot with 56 students to discover how the programme resonated with young people. The positive feedback we received was incredibly encouraging! Students expressed excitement and a genuine shift in their understanding of AI.

Their comments, such as discovering the fun of learning about AI and seeing how AI can lead to diverse career paths, validated the effectiveness of the programme’s approach.

One student’s changed perspective — from fearing AI to recognising its potential — underscores the importance of addressing misconceptions. Providing accessible AI education empowers students to develop a balanced and informed outlook.

“I learnt new things and it changed my mindset that AI is not going to take over the world.” – Student who took part in the Experience AI pilot

Launching Experience AI in Malaysia

The successful pilot paved the way for our official Experience AI launch in early April. Students who participated in the pilot were proud to be a part of the launch event, sharing their AI knowledge and experience with esteemed guests, including the Chief Minister of Penang, the Deputy Finance Minister of Malaysia, and the Director of the Penang State Education Department. The presence of these leaders highlights the growing recognition of the significance of AI education.

Building a vibrant AI education community

Following the launch, our immediate focus has shifted to empowering teachers. With the help of the Raspberry Pi Foundation, we’ll conduct teacher workshops to equip them with the knowledge and tools to bring Experience AI into their classrooms. Collaborating with education departments in Penang, Kedah, Perlis, Perak, and Selangor will be vital in teacher recruitment and building a vibrant AI education community.

Inspiring the next generation of AI creators

Experience AI marks an exciting start to integrating AI education within Malaysia, for both students and teachers. Our hope is to inspire a generation of young people empowered to shape the future of AI — not merely as consumers of the technology, but as active creators and innovators.

We envision a future where AI education is as fundamental as mathematics education, providing students with the tools they need to thrive in an AI-driven world. The journey of AI exploration in Malaysia has only just begun, and we’re thrilled to play a part in shaping its trajectory.

If you’re interested in partnering with us to bring Experience AI to students and teachers in your country, you can register your interest here.

The post Teaching a generation of AI innovators in Malaysia with Experience AI appeared first on Raspberry Pi Foundation.

Make your interaction with Zabbix API faster: Async zabbix_utils.

2024-04-30 Aleksandr Iantsen

Post Syndicated from Aleksandr Iantsen original https://blog.zabbix.com/make-your-interaction-with-zabbix-api-faster-async-zabbix_utils/27837/

In this article, we will explore the capabilities of the new asynchronous modules of the zabbix_utils library. Thanks to asynchronous execution, users can expect improved efficiency, reduced latency, and increased flexibility in interacting with Zabbix components, ultimately enabling them to create efficient and reliable monitoring solutions that meet their specific requirements.

There is a high demand for the Python library zabbix_utils. Since its release and up to the moment of writing this article, zabbix_utils has been downloaded from PyPI more than 15,000 times. Over the past week, the library has been downloaded more than 2,700 times. The first article about the zabbix_utils library has already gathered around 3,000 views. Among the array of tools available, the library has emerged as a popular choice, offering developers and administrators a comprehensive set of functions for interacting with Zabbix components such as Zabbix server, proxy, and agents.

Considering the demand from users, as well as the potential of asynchronous programming to optimize interaction with Zabbix, we are pleased to present a new version of the library with new asynchronous modules in addition to the existing synchronous ones. The new zabbix_utils modules are designed to provide a significant performance boost by taking advantage of the inherent benefits of asynchronous programming to speed up communication between Zabbix and your service or script.

You can read the introductory article about zabbix_utils for a more comprehensive understanding of working with the library.

Benefits and Usage Scenarios

From expedited data retrieval and real-time event monitoring to enhanced scalability, asynchronous programming empowers you to build highly efficient, flexible, and reliable monitoring solutions adapted to meet your specific needs and challenges.

The new version of zabbix_utils and its asynchronous components may be useful in the following scenarios:

Mass data gathering from multiple hosts: When it’s necessary to retrieve data from a large number of hosts simultaneously, asynchronous programming allows requests to be executed in parallel, significantly speeding up the data collection process;
Mass resource exporting: When templates, hosts or problems need to be exported in parallel. This parallel execution reduces the overall export time, especially when dealing with a large number of resources;
Sending alerts from or to your system: When certain actions need to be performed based on monitoring conditions, such as sending alerts or running scripts, asynchronous programming provides rapid condition processing and execution of corresponding actions;
Scaling the monitoring system: With an increase in the number of monitored resources or the volume of collected data, asynchronous programming provides better scalability and efficiency for the monitoring system.

Installation and Configuration

If you already use the zabbix_utils library, simply updating the library to the latest version and installing all necessary dependencies for asynchronous operation is sufficient. Otherwise, you can install the library with asynchronous support using the following methods:

By using pip:

~$ pip install zabbix_utils[async]

Using [async] allows you to install additional dependencies (extras) needed for the operation of asynchronous modules.

By cloning from GitHub:

~$ git clone https://github.com/zabbix/python-zabbix-utils
~$ cd python-zabbix-utils/
~$ pip install -r requirements.txt
~$ python setup.py install

The process of working with the asynchronous version of the zabbix_utils library is similar to the synchronous one, except for some syntactic differences of asynchronous code in Python.

Working with Zabbix API

To work with the Zabbix API in asynchronous mode, you need to import the AsyncZabbixAPI class from the zabbix_utils library:

from zabbix_utils import AsyncZabbixAPI

Similar to the synchronous ZabbixAPI, the new AsyncZabbixAPI can use the following environment variables: ZABBIX_URL, ZABBIX_TOKEN, ZABBIX_USER, ZABBIX_PASSWORD. However, when creating an instance of the AsyncZabbixAPI class you cannot specify a token or a username and password, unlike the synchronous version. They can only be passed when calling the login() method. The following usage scenarios are available here:

Use preset values of environment variables, i.e., not pass any parameters to AsyncZabbixAPI:

~$ export ZABBIX_URL="https://zabbix.example.local"

api = AsyncZabbixAPI()

Pass only the Zabbix API address as input, which can be specified as either the server IP/FQDN address or DNS name (in this case, the HTTP protocol will be used) or as an URL of Zabbix API:

api = AsyncZabbixAPI(url="127.0.0.1")

After declaring an instance of the AsyncZabbixAPI class, you need to call the login() method to authenticate with the Zabbix API. There are two ways to do this:

Using environment variable values:

~$ export ZABBIX_USER="Admin"
~$ export ZABBIX_PASSWORD="zabbix"

~$ export ZABBIX_TOKEN="xxxxxxxx"

and then:

await api.login()

Passing the authentication data when calling login():

await api.login(user="Admin", password="zabbix")

Like ZabbixAPI, the new AsyncZabbixAPI class supports version getting and comparison:

# ZabbixAPI version field
ver = api.version
print(type(ver).__name__, ver) # APIVersion 6.0.29

# Method to get ZabbixAPI version
ver = api.api_version()
print(type(ver).__name__, ver) # APIVersion 6.0.29

# Additional methods
print(ver.major)     # 6.0
print(ver.minor)     # 29
print(ver.is_lts())  # True

# Version comparison
print(ver < 6.4)        # True
print(ver != 6.0)       # False
print(ver != "6.0.24")  # True

After authentication, you can make any API requests described for all supported versions in the Zabbix documentation.

The format for calling API methods looks like this:

await api_instance.zabbix_object.method(parameters)

For example:

await api.host.get()

After completing all needed API requests, it is necessary to call logout() to close the API session if authentication was done using username and password, and also close the asynchronous sessions:

await api.logout()

More examples of usage can be found here.

Sending Values to Zabbix Server/Proxy

The asynchronous class AsyncSender has been added, which also helps to send values to the Zabbix server or proxy for items of the Zabbix Trapper data type.

AsyncSender can be imported as follows:

from zabbix_utils import AsyncSender

Values can be sent in a group, for this it is necessary to import ItemValue:

import asyncio
from zabbix_utils import ItemValue, AsyncSender


items = [
    ItemValue('host1', 'item.key1', 10),
    ItemValue('host1', 'item.key2', 'Test value'),
    ItemValue('host2', 'item.key1', -1, 1702511920),
    ItemValue('host3', 'item.key1', '{"msg":"Test value"}'),
    ItemValue('host2', 'item.key1', 0, 1702511920, 100)
]

async def main():
    sender = AsyncSender('127.0.0.1', 10051)
    response = await sender.send(items)
    # processing the received response

asyncio.run(main())

As in the synchronous version, it is possible to specify the size of chunks when sending values in a group using the parameter chunk_size:

sender = AsyncSender('127.0.0.1', 10051, chunk_size=2)
response = await sender.send(items)

In the example, the chunk size is set to 2. So, 5 values passed in the code above will be sent in three requests of two, two, and one value, respectively.

Also it is possible to send a single value:

sender = AsyncSender(server='127.0.0.1', port=10051)
resp = await sender.send_value('example_host', 'example.key', 50, 1702511920))

If your server has multiple network interfaces, and values need to be sent from a specific one, the AsyncSender provides the option to specify a source_ip for sent values:

sender = AsyncSender(
    server='zabbix.example.local',
    port=10051,
    source_ip='10.10.7.1'
)
resp = await sender.send_value('example_host', 'example.key', 50, 1702511920)

AsyncSender also supports reading connection parameters from the Zabbix agent/agent2 configuration file. To do this, you need to set the use_config flag and specify the path to the configuration file if it differs from the default /etc/zabbix/zabbix_agentd.conf:

sender = AsyncSender(
    use_config=True,
    config_path='/etc/zabbix/zabbix_agent2.conf'
)

More usage examples can be found here.

Getting values from Zabbix Agent/Agent2 by item key.

In cases where you need the functionality of our standart zabbix_get utility but native to your Python project and working asynchronously, consider using the AsyncGetter class. A simple example of its usage looks like this:

import asyncio
from zabbix_utils import AsyncGetter

async def main():
    agent = AsyncGetter('10.8.54.32', 10050)
    resp = await agent.get('system.uname')
    print(resp.value) # Linux zabbix_server 5.15.0-3.60.5.1.el9uek.x86_64

asyncio.run(main())

Like AsyncSender, the AsyncGetter class supports specifying the source_ip address:

agent = AsyncGetter(
    host='zabbix.example.local',
    port=10050,
    source_ip='10.10.7.1'
)

More usage examples can be found here.

Conclusions

The new version of the zabbix_utils library provides users with the ability to implement efficient and scalable monitoring solutions, ensuring fast and reliable communication with the Zabbix components. Asynchronous way of interaction gives a lot of room for performance improvement and flexible task management when handling a large volume of requests to Zabbix components such as Zabbix API and others.

We have no doubt that the new version of zabbix_utils will become an indispensable tool for developers and administrators, helping them create more efficient, flexible, and reliable monitoring solutions that best meet their requirements and expectations.

The post Make your interaction with Zabbix API faster: Async zabbix_utils. appeared first on Zabbix Blog.

Comic for 2024.04.30 – Guestravaganza – Last Place Comics

2024-04-30 Explosm.net

Post Syndicated from Explosm.net original https://explosm.net/comics/guestravaganza-last-place-comics

New Cyanide and Happiness Comic

Unboxing of a historical hat

2024-04-30 The History Guy: History Deserves to Be Remembered

Post Syndicated from The History Guy: History Deserves to Be Remembered original https://www.youtube.com/watch?v=xiNBuhChcdE

Amarok 3.0 “Castaway” released

2024-04-29 jake

Post Syndicated from jake original https://lwn.net/Articles/971568/

The Amarok music player project
has announced
the release of version 3.0, which is codenamed “Castaway”. It is the first
stable version using Qt 5 and KDE Frameworks 5, and the first stable
release since the final Qt-4-based 2.9.0 in 2018.

The road to 3.0 has not been a short one. Much of the Qt5/KF5 porting was done in 2015 already, but finishing and polishing everything up has been a slow, sometimes ongoing and sometimes stalled process ever since. 3.0 Alpha was released in February 2021 and has been since used by many people, as have been nightly builds of git master available for various distributions. Now in the past few months, an effort was made to get everything ready for a proper 3.0 release.

Common usecases should work quite well, and in addition to fixing KF5 port
related regressions reported in pre-releases, 3.0 features many bugfixes
and implemented features for longstanding issues, the oldest such
documented being from 2009. However, with more than 20 years of development
history, it is likely that not every feature Amarok has been tested
thoroughly in the new release, and specifically some Internet services that
have changed their API in recent years are not available, at least for
now. It might well be that getting them in better state wouldn’t require
huge effort, however, so if you know your way with Qt and KDE Frameworks
and your favourite Internet music service does not work with Amarok 3.0,
you are extremely welcome to join in and help!

James "Doc" McFadden and the Hurricane Hunters

2024-04-29 The History Guy: History Deserves to Be Remembered

Post Syndicated from The History Guy: History Deserves to Be Remembered original https://www.youtube.com/watch?v=z2tu-taL_2c

Run scalable, enterprise-grade generative AI workloads with Cohere Command R & R+, now available in Amazon Bedrock

2024-04-29 Veliswa Boya

Post Syndicated from Veliswa Boya original https://aws.amazon.com/blogs/aws/run-scalable-enterprise-grade-generative-ai-workloads-with-cohere-r-r-now-available-in-amazon-bedrock/

In November 2023, we made two new Cohere models available in Amazon Bedrock (Cohere Command Light and Cohere Embed English). Today, we’re announcing the addition of two more Cohere models in Amazon Bedrock; Cohere Command R and Command R+.

Organizations need generative artificial intelligence (generative AI) models to securely interact with information stored in their enterprise data sources. Both Command R and Command R+ are powerful, scalable large language models (LLMs), purpose-built for real-world, enterprise-grade workloads. These models are multilingual and are focused on balancing high efficiency with strong accuracy to excel at capabilities such as Retrieval-Augmented Generation (RAG), and tool use to enable enterprises to move beyond proof-of-concept (POC), and into production using artificial intelligence (AI).

Command R is a scalable multilingual generative model targeting RAG and tool use to enable production-scale AI for enterprises. Command R+ is a state-of-the-art RAG-optimized model designed to tackle enterprise-grade workloads and optimize business AI applications. Command R+ is optimized for advanced RAG to provide enterprise-ready, highly reliable, and veriﬁable responses due to in-line citations which come standard with this model. With these new Cohere models in Bedrock, you can scale with AI to quickly ﬁnd the most relevant information to support tasks across business functions like ﬁnance, human resources (HR), sales, marketing, and customer support, among others, in a range of business sectors. Tool use is also available in Command R+. Command R+ is a strong multilingual model, and similarly to Command R, features a tokenizer that compresses non-English text much better than the tokenizer used for other models in the market.

Getting started with Command R and Command R+
To get started with both models in Amazon Bedrock, you first need to get access to the models. In the Amazon Bedrock console, choose Model access, and then choose Manage model access. Next, choose your preferred model(s), and then choose Save changes. As you can see, you now have six Cohere models to choose from in Amazon Bedrock – including Command R and Command R+ – giving you greater choice and flexibility to use the optimal models for your specific business needs.

Once you have access to your preferred model, you can use the model in Amazon Bedrock. Refresh the base models table to view the updated status.

The models have been trained to respond in the language of the user such as English, French, Spanish, Italian, German, Brazilian Portuguese, Japanese, Korean, Simplified Chinese, and Arabic. Here’s an example:

Prompt

<s>"Écris une description de produit pour une voiture électrique en 50 à 75 mots"

Output

Découvrez la voiture électrique qui va révolutionner votre façon de conduire.
Avec son design élégant, cette voiture offre une expérience de conduite unique
avec une accélération puissante et une autonomie impressionnante. Sa
technologie avancée vous garantit une charge rapide et une fiabilité inégalée.
Avec sa conception innovante et durable, cette voiture est parfaite pour les 
trajets urbains et les longues distances. Profitez d'une conduite silencieuse
et vivez l'expérience de la voiture électrique!

Programmatically interact with Command R and Command R+
You can also use AWS Command Line Interface (CLI) and AWS Software Development Kit (SDK) to make various calls using Amazon Bedrock APIs. Following, is a sample code in Python that interacts with Amazon Bedrock Runtime APIs with AWS SDK. Taking the same text generation prompt I used earlier, here is how it looks when used programmatically. In this example I’m interacting with the Command R model. Back to Python, I first run the ListFoundationModels API call to discover the modelId for Command R.

import boto3
import json
import numpy

bedrock = boto3.client(service_name='bedrock', region_name='us-east-1')

listModels = bedrock.list_foundation_models(byProvider='cohere')
print("\n".join(list(map(lambda x: f"{x['modelName']} : { x['modelId'] }", listModels['modelSummaries']))))

Running this code gives the list:

Command : cohere.command-text-v14
Command Light : cohere.command-light-text-v14
Embed English : cohere.embed-english-v3
Embed Multilingual : cohere.embed-multilingual-v3
Command R: cohere.command-r-v1:0
Command R+: cohere.command-r-plus-v1:0

From this list, I select cohere.command-r-v1:0 model ID and write the code to generate the text as shown earlier in this post.

import boto3
import json

bedrock = boto3.client(service_name="bedrock-runtime", region_name='us-east-1')

prompt = """
<s>Écris une description de produit pour une voiture électrique en 50 à 75 mots

body = json.dumps({
    "prompt": prompt,
    "max_tokens": 512,
    "top_p": 0.8,
    "temperature": 0.5,
})

modelId = "cohere.command-r-v1:0"

accept = "application/json"
contentType = "application/json"

response = bedrock.invoke_model(
    body=body,
    modelId=modelId,
    accept=accept,
    contentType=contentType
)

print(json.loads(response.get('body').read()))

You can get JSON formatted output as like:

Découvrez la voiture électrique qui va révolutionner votre façon de conduire.
Avec son design élégant, cette voiture offre une expérience de conduite unique
avec une accélération puissante et une autonomie impressionnante. Sa
technologie avancée vous garantit une charge rapide et une fiabilité inégalée.
Avec sa conception innovante et durable, cette voiture est parfaite pour les 
trajets urbains et les longues distances. Profitez d'une conduite silencieuse
et vivez l'expérience de la voiture électrique!

Now Available

Command R and Command R+ models, along with other Cohere models, are available today in Amazon Bedrock in the US East (N. Virginia) and US West (Oregon) Regions; check the full Region list for future updates.

Visit our community.aws site to find deep-dive technical content and to discover how our Builder communities are using Amazon Bedrock in their solutions. Give Command R and Command R+ a try in the Amazon Bedrock console today and send feedback to AWS re:Post for Amazon Bedrock or through your usual AWS Support contacts.

– Veliswa.

Yosemite: The United States’ Most Notable National Park

2024-04-29 Geographics

Post Syndicated from Geographics original https://www.youtube.com/watch?v=jFue3U-N92g

The Darien Scheme

2024-04-29 The History Guy: History Deserves to Be Remembered

Post Syndicated from The History Guy: History Deserves to Be Remembered original https://www.youtube.com/watch?v=eglcxuV136I

От 3-ти Май 2024 няма да можеш да продадеш имот, ако имаш изискуеми задължения

2024-04-29 VassilKendov

Post Syndicated from VassilKendov original https://kendov.com/%D0%BE%D1%82-3-%D1%82%D0%B8-%D0%BC%D0%B0%D0%B9-2024-%D0%BD%D1%8F%D0%BC%D0%B0-%D0%B4%D0%B0-%D0%BC%D0%BE%D0%B6%D0%B5%D1%88-%D0%B4%D0%B0-%D0%BF%D1%80%D0%BE%D0%B4%D0%B0%D0%B4%D0%B5%D1%88-%D0%B8%D0%BC/

Ето какво съветва нотариус Милена Илчева, за да се сключват спокойно и законосъобразно сделките за всички страни

Бургаският нотариус Милена Илчева се съгласи да разясни пред Флагман.бг подробности за промените в Данъчно-осигурителния процесуален кодекс, които влизат в сила от 3 май и затягат правилата за всички участници в сделките за прехвърлянето или учредяването на вещни права върху недвижими имоти или МПС.

Ето какво съветва юристът, за да се сключват спокойно и законосъобразно сделките за всички страни:

Новите правила са по силата на изменение на разпоредбата на чл. 264, ал. 1 и ал. 2 от ДОПК и защитават интересите на държавата и общините.

Досега, когато се сключваха сделки за прехвърляне или учредяване на вещни права върху недвижим имот или МПС, лицата, които са прехвърлители на същите, или които учредяваха ипотеки, предоставяха пред нотариуса декларации, че нямат подлежащи на принудително изпълнение публични задължения. Сега тези декларации отпадат, но във връзка със законодателните изменения от 03.05.2024 г. нотариусите в реално време ще проверяват по електронен път в Националната агенция за приходите за наличие на непогасени, подлежащи на принудително изпълнение публични задължения на прехвърлителите, респективно учредителите. Връзката между тях и НАП е осигурена чрез информационната система на Нотариалната камара. Тоест, може да се каже, че досега режимът беше декларативен, то занапред вече няма да е така. Автоматично от това следва, че ако едно лице има задължение, дори само за 20 лева, за да прехвърли собствеността, която иска, или да ипотекира имота, който иска, трябва да погаси същото, ако то вече подлежи на принудително изпълнение.

Установявам, че това все още не се знае от много хора, а изменението на закона влиза в сила съвсем скоро. Считам, че във връзка със законодателната промяна е препоръчително още на фаза предлагане на един имот за продажба и не по-късно от сключване на предварителния договор за продажбата му, продавачите да се погрижат да се снабдят с необходимия документ, удостоверяващ липсата на такива техни задължения. Тук съществена роля ще имат брокерите на недвижими имоти, които са посредници на страните и са в пряк контакт с тях още на фаза предлагане и подготовка на документите. Те могат да указват това на собствениците, за да може своевременно да предприемат необходимите действия. Това важи и когато при покупка на имот финансирането е с банков кредит, който ще се обезпечава с ипотека върху закупувания имот. Там ще стои въпросът за липса на подлежащи на принудително изпълнение задължения за публични задължения и от страна на купувача по такава сделка, който ще се явява ипотекиращ този имот за обезпечаване на дълга си към банката. Тоест, правилото не важи само за продавачи на недвижими имоти или МПС. Неспазването му от всеки, който желае да прехвърли по какъвто и да начин вещни права върху недвижим имот или МПС, или ще ипотекира недвижим имот или залага имущество ще води до спиране и отлагане сделките, или до отказ за извършване на съответните действия от компетентните органи, натоварени със задължението за тези проверки. Прехвърлителите и учредителите следва да бъдат добросъвестни и да се погрижат към деня на сключване на окончателната сделка да са изрядни към държавата и общините по отношение на публичните си задължения.

Според разпоредбите на чл. 264, ал. 1 и 2 от ДОПК и сега би трябвало да нямате непогасени подлежащи на принудително изпълнение задължения за данъци, мита и задължителни осигурителни вноски, но за това се изисква само декларация, в която ако декларирате неверни данни ще носите наказателна отговорност и сделката е недействителна спрямо държавата, съответно общината. След 03.05.2024 г. наличието на такива задължения ще се установява чрез официална справка в реално време – към съответния ден и час дали имате или нямате непогасени, подлежащи на принудително изпълнение публични задължения. Проверката от нотариус по електронен път в Националната агенция за приходите следва да се прави само, когато има нотариално производство, тоест не може да бъде извършвана без основание. Изискването за опазване на данъчната и осигурителна тайна, съгласно разпоредбите на ДОПК не се променя и предоставянето на данните от тези справки следва да става изцяло, съобразно законовите норми. Това означава, че не може да искате от нотариус да прави такава справка когато решите, без да има производство пред него. И най-вече, не можете да искате нотариус да прави такава справка за трето лице, с което сте в преддоговорни отношения по бъдеща сделка, за която няма нотариално производство. Съгласно нормите на ДОПК, информацията за данните в данъчно-осигурителната сметка на дадено лице се получава лично от него или от изрично упълномощено с нотариално заверено пълномощно лице. Извън тях, закона посочва изрично кои държавни органи или лица, изпълняващи публични функции могат да искат такива данни от НАП, не и от нотариус. Това предполага бъдещите прехвърлители или учредители своевременно да си направят предварителни справки или чрез електронната система на НАП или на място в офисите на НАП. Бих им препоръчала да се снабдяват с официалния документ, удостоверяващ липсата на техни задължения – удостоверение по чл. 87, ал. 6 от ДОПК, за да могат да докажат, че са изрядни спрямо държавата и общините по отношение на публичните си задължения и, че са коректни спрямо лицата, с които ще влизат в договорни отношения.

Какво да очакват хората с ипотеки след въвеждането на еврото

Законът допуска, ако се установят задължения в деня на сключване на сделката, нотариусът да издаде акт за нея, но ако задълженията бъдат платени преди подписването му. Естествено това ще усложни процеса – нотариусът ще спре производството, докато се погасят задълженията или докато купувачът внесе цялата или част от цената при покупко-продажба за погасяването им, банката ще чака и докато няма задължения, няма да предостави кредита, за да може да е сигурна, че няма да изпадне в състояние да е кредитор заедно с държавата или Общината. Искам да обърна внимание, че законът не казва само продажба, а прехвърлянето или учредяването на вещни права върху недвижими имоти или МПС, а това не са само възмездните сделки за покупко-продажба. Заобикалянето на това изискване за мен е недопустимо, за да се счита, че не важи при дарение или замяна. Както казах преди това и сега тежи отговорността, ако сте декларирали неверни данни, че нямате непогасени подлежащи на принудително изпълнение публични задължения, и държавата или общините имат права като кредитори, съгласно чл. 216 от ДОПК.

Нотариусите, като лица с публични функции, вече ще са натоварени с ангажимент по отношение на защита и на тези интереси на държавата и общините. Тук няма да се включват само задължения за имоти и МПС, а всякакви публични задължения (дори глобите от КАТ), установени с актове на всякакви държавни или общински органи, които се събират по принудителен ред от НАП. И за 20 лв. глоба от КАТ да имате, ако тя вече подлежи на принудително изпълнение, трябва да я платите, за да може да си прехвърлите собствеността върху имота, да апортирате имот в търговско дружество или да се впише залог по реда на Закона за особените залози . Клиентите не трябва да се сърдят, ако отидат при нотариус и той им откаже съответното удостоверяване на това основание.

Съгласно последното изменение на чл. 264 от ДОПК задължение за извършване на справките по електронен път в Националната агенция за приходите за наличие на непогасени, подлежащи на принудително изпълнение публични задължения на прехвърлителите, респективно учредителите имат нотариуса, съдията по вписванията, длъжностното лице по регистрация по Закона за търговския регистър и регистъра на юридическите лица с нестопанска цел или длъжностното лице по вписванията по Закона за особените залози, съобразно компетентността си в съответните производства. В случай, че някой от тях в кръга на своята компетентност състави, съответно разпореди да се впише, акт при неспазване на чл. 264, ал. 1, 2 и 4 от ДОПК е регламентирана солидарна отговорност за заплащане на задълженията, дължими от длъжника. За нотариуса и съдията по вписванията отговорността е лична, а за действията на длъжностните лица отговорността отговорността е вменена на Агенцията по вписванията. Не смятам, че ще има колега, който ще се съгласи да стане съдлъжник заедно с Вас и да отговаря за плащането на такива Ваши задължения.

Времето до датата, когато ще се прилагат новите правила е кратко, а с колеги установихме, че това не е ясно на хората. Ето и един пример – някой, ако през Великденските празнични почивни дни – между 3 и 6.05, намери купувач на продавана от него кола, и отидат при колега, който да удостовери договора, което е допустимо от закона да се извършва в извън регламентираното ни работно време, и се установи при справката от нотариуса наличие на такова задължение, сделката се усложнява. При прехвърлянето на собственост за МПС всичко се случва в реално време в канторите ни. Чрез информационната системата на Нотариалната камара, която има директна връзка със системата на КАТ, докато сте още в кантората на нотариуса, непосредствено след подписването на договора от страните и нотариуса, в реално време се регистрира промяната на собствеността. По отношение на недвижимите имоти е по-различно. Там има интервал от време, в което трябва, да го кажем се обработят докумените, след като страните и нотариуса са подписали нотариалния акт и собствеността е преминала, преди акта да се впише в регистрите и книгите на съответната Служба по вписванията и се афишира спрямо всички трети лица.

Моля използвайте приложената форма за записване на час за среща
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Сега от една страна клиенти и брокери се радват, че отпаднаха едни декларации за заверка, но трябва да се отчита, че не отпада изискването хората, които са прехвърлители или учредители на права върху недвижими имоти или МПС, да нямат задължения към държавата и общините, за да бъдат коректни при сключването на сделката. НАП са се постарали да направят електронната си система, така че във всеки един момент да можете да проверите това, което касае ваши публични задължения и да погасите същите. Това може да стане не само на място в офисите на НАП, но и по банков път или чрез портала за електронни услуги на НАП. А, ако вече публичен изпълнител Ви търси, за да събира публични задължения по принудителен ред, малко вероятно е да не сте наясно с това обстоятелство. Затова, бъдете коректни към потенциалните си контрагенти и уредете тези Ваши задължения своевременно.

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AWS Weekly Roundup: Amazon Bedrock, AWS CodeBuild, Amazon CodeCatalyst, and more (April 29, 2024)

2024-04-29 Danilo Poccia

Post Syndicated from Danilo Poccia original https://aws.amazon.com/blogs/aws/aws-weekly-roundup-amazon-bedrock-aws-codebuild-amazon-codecatalyst-and-more-april-29-2024/

This was a busy week for Amazon Bedrock with many new features! Using GitHub Actions with AWS CodeBuild is much easier. Also, Amazon Q in Amazon CodeCatalyst can now manage more complex issues.

I was amazed to meet so many new and old friends at the AWS Summit London. To give you a quick glimpse, here’s AWS Hero Yan Cui starting his presentation at the AWS Community stage.

Last week’s launches
With so many interesting new features, I start with generative artificial intelligence (generative AI) and then move to the other topics. Here’s what got my attention:

Amazon Bedrock – For supported architectures such as Llama, Mistral, or Flan T5, you can now import custom models and access them on demand. Model evaluation is now generally available to help you evaluate, compare, and select the best foundation models (FMs) for your specific use case. You can now access Meta’s Llama 3 models.

Agents for Amazon Bedrock – A simplified agent creation and return of control, so that you can define an action schema and get the control back to perform those action without needing to create a specific AWS Lambda function. Agents also added support for Anthropic Claude 3 Haiku and Sonnet to help build faster and more intelligent agents.

Knowledge Bases for Amazon Bedrock – You can now ingest data from up to five data sources and provide more complete answers. In the console, you can now chat with one of your documents without needing to set up a vector database (read more in this Machine Learning blog post).

Guardrails for Amazon Bedrock – The capability to implement safeguards based on your use cases and responsible AI policies is now available with new safety filters and privacy controls.

Amazon Titan – The new watermark detection feature is now generally available in Amazon Bedrock. In this way, you can identify images generated by Amazon Titan Image Generator using an invisible watermark present in all images generated by Amazon Titan.

Amazon CodeCatalyst – Amazon Q can now split complex issues into separate, simpler tasks that can then be assigned to a user or back to Amazon Q. CodeCatalyst now also supports approval gates within a workflow. Approval gates pause a workflow that is building, testing, and deploying code so that a user can validate whether it should be allowed to proceed.

Amazon EC2 – You can now remove an automatically assigned public IPv4 address from an EC2 instance. If you no longer need the automatically assigned public IPv4 (for example, because you are migrating to using a private IPv4 address for SSH with EC2 instance connect), you can use this option to quickly remove the automatically assigned public IPv4 address and reduce your public IPv4 costs.

Network Load Balancer – Now supports Resource Map in AWS Management Console, a tool that displays all your NLB resources and their relationships in a visual format on a single page. Note that Application Load Balancer already supports Resource Map in the console.

AWS CodeBuild – Now supports managed GitHub Action self-hosted runners. You can configure CodeBuild projects to receive GitHub Actions workflow job events and run them on CodeBuild ephemeral hosts.

Amazon Route 53 – You can now define a standard DNS configuration in the form of a Profile, apply this configuration to multiple VPCs, and share it across AWS accounts.

AWS Direct Connect – Hosted connections now support capacities up to 25 Gbps. Before, the maximum was 10 Gbps. Higher bandwidths simplify deployments of applications such as advanced driver assistance systems (ADAS), media and entertainment (M&E), artificial intelligence (AI), and machine learning (ML).

NoSQL Workbench for Amazon DynamoDB – A revamped operation builder user interface to help you better navigate, run operations, and browse your DynamoDB tables.

Amazon GameLift – Now supports in preview end-to-end development of containerized workloads, including deployment and scaling on premises, in the cloud, or for hybrid configurations. You can use containers for building, deploying, and running game server packages.

For a full list of AWS announcements, be sure to keep an eye on the What’s New at AWS page.

Other AWS news
Here are some additional projects, blog posts, and news items that you might find interesting:

GQL, the new ISO standard for graphs, has arrived – GQL, which stands for Graph Query Language, is the first new ISO database language since the introduction of SQL in 1987.

Authorize API Gateway APIs using Amazon Verified Permissions and Amazon Cognito – Externalizing authorization logic for application APIs can yield multiple benefits. Here’s an example of how to use Cedar policies to secure a REST API.

Build and deploy a 1 TB/s file system in under an hour – Very nice walkthrough for something that used to be not so easy to do in the recent past.

Let’s Architect! Discovering Generative AI on AWS – A new episode in this amazing series of posts that provides a broad introduction to the domain and then shares a mix of videos, blog posts, and hands-on workshops.

Building scalable, secure, and reliable RAG applications using Knowledge Bases for Amazon Bedrock – This post explores the new features (including AWS CloudFormation support) and how they align with the AWS Well-Architected Framework.

Using the unified CloudWatch Agent to send traces to AWS X-Ray – With added support for the collection of AWS X-Ray and OpenTelemetry traces, you can now provision a single agent to capture metrics, logs, and traces.

The executive’s guide to generative AI for sustainability – A guide for implementing a generative AI roadmap within sustainability strategies.

AWS open source news and updates – My colleague Ricardo writes about open source projects, tools, and events from the AWS Community. Check out Ricardo’s page for the latest updates.

Upcoming AWS events
Check your calendars and sign up for upcoming AWS events:

AWS Summits – Join free online and in-person events that bring the cloud computing community together to connect, collaborate, and learn about AWS. Register in your nearest city: Singapore (May 7), Seoul (May 16–17), Hong Kong (May 22), Milan (May 23), Stockholm (June 4), and Madrid (June 5).

AWS re:Inforce – Explore 2.5 days of immersive cloud security learning in the age of generative AI at AWS re:Inforce, June 10–12 in Pennsylvania.

AWS Community Days – Join community-led conferences that feature technical discussions, workshops, and hands-on labs led by expert AWS users and industry leaders from around the world: Turkey (May 18), Midwest | Columbus (June 13), Sri Lanka (June 27), Cameroon (July 13), Nigeria (August 24), and New York (August 28).

GOTO EDA Day London – Join us in London on May 14 to learn about event-driven architectures (EDA) for building highly scalable, fault tolerant, and extensible applications. This conference is organized by GOTO, AWS, and partners.

Browse all upcoming AWS led in-person and virtual events and developer-focused events.

That’s all for this week. Check back next Monday for another Weekly Roundup!

— Danilo

This post is part of our Weekly Roundup series. Check back each week for a quick roundup of interesting news and announcements from AWS!

Dive deep into security management: The Data on EKS Platform

2024-04-29 Yuzhu Xiao

Post Syndicated from Yuzhu Xiao original https://aws.amazon.com/blogs/big-data/dive-deep-into-security-management-the-data-on-eks-platform/

The construction of big data applications based on open source software has become increasingly uncomplicated since the advent of projects like Data on EKS, an open source project from AWS to provide blueprints for building data and machine learning (ML) applications on Amazon Elastic Kubernetes Service (Amazon EKS). In the realm of big data, securing data on cloud applications is crucial. This post explores the deployment of Apache Ranger for permission management within the Hadoop ecosystem on Amazon EKS. We show how Ranger integrates with Hadoop components like Apache Hive, Spark, Trino, Yarn, and HDFS, providing secure and efficient data management in a cloud environment. Join us as we navigate these advanced security strategies in the context of Kubernetes and cloud computing.

Overview of solution

The Amber Group’s Data on EKS Platform (DEP) is a Kubernetes-based, cloud-centered big data platform that revolutionizes the way we handle data in EKS environments. Developed by Amber Group’s Data Team, DEP integrates with familiar components like Apache Hive, Spark, Flink, Trino, HDFS, and more, making it a versatile and comprehensive solution for data management and BI platforms.

The following diagram illustrates the solution architecture.

Effective permission management is crucial for several key reasons:

Enhanced security – With proper permission management, sensitive data is only accessible to authorized individuals, thereby safeguarding against unauthorized access and potential security breaches. This is especially important in industries handling large volumes of sensitive or personal data.
Operational efficiency – By defining clear user roles and permissions, organizations can streamline workflows and reduce administrative overhead. This system simplifies managing user access, saves time for data security administrators, and minimizes the risk of configuration errors.
Scalability and compliance – As businesses grow and evolve, a scalable permission management system helps with smoothly adjusting user roles and access rights. This adaptability is essential for maintaining compliance with various data privacy regulations like GDPR and HIPAA, making sure that the organization’s data practices are legally sound and up to date.
Addressing big data challenges – Big data comes with unique challenges, like managing large volumes of rapidly evolving data across multiple platforms. Effective permission management helps tackle these challenges by controlling how data is accessed and used, providing data integrity and minimizing the risk of data breaches.

Apache Ranger is a comprehensive framework designed for data governance and security in Hadoop ecosystems. It provides a centralized framework to define, administer, and manage security policies consistently across various Hadoop components. Ranger specializes in fine-grained access control, offering detailed management of user permissions and auditing capabilities.

Ranger’s architecture is designed to integrate smoothly with various big data tools such as Hadoop, Hive, HBase, and Spark. The key components of Ranger include:

Ranger Admin – This is the central component where all security policies are created and managed. It provides a web-based user interface for policy management and an API for programmatic configuration.
Ranger UserSync – This service is responsible for syncing user and group information from a directory service like LDAP or AD into Ranger.
Ranger plugins – These are installed on each component of the Hadoop ecosystem (like Hive and HBase). Plugins pull policies from the Ranger Admin service and enforce them locally.
Ranger Auditing – Ranger captures access audit logs and stores them for compliance and monitoring purposes. It can integrate with external tools for advanced analytics on these audit logs.
Ranger Key Management Store (KMS) – Ranger KMS provides encryption and key management, extending Hadoop’s HDFS Transparent Data Encryption (TDE).

The following flowchart illustrates the priority levels for matching policies.

chartflow

The priority levels are as follows:

Deny list takes precedence over allow list
Deny list exclude has a higher priority than deny list
Allow list exclude has a higher priority than allow list

Our Amazon EKS-based deployment includes the following components:

S3 buckets – We use Amazon Simple Storage Service (Amazon S3) for scalable and durable Hive data storage
MySQL database – The database stores Hive metadata, facilitating efficient metadata retrieval and management
EKS cluster – The cluster is comprised of three distinct node groups: platform, Hadoop, and Trino, each tailored for specific operational needs
Hadoop cluster applications – These applications include HDFS for distributed storage and YARN for managing cluster resources
Trino cluster application – This application enables us to run distributed SQL queries for analytics
Apache Ranger – Ranger serves as the central security management tool for access policy across the big data components
OpenLDAP – This is integrated as the LDAP service to provide a centralized user information repository, essential for user authentication and authorization
Other cloud services resources – Other resources include a dedicated VPC for network security and isolation

By the end of this deployment process, we will have realized the following benefits:

A high-performing, scalable big data platform that can handle complex data workflows with ease
Enhanced security through centralized management of authentication and authorization, provided by the integration of OpenLDAP and Apache Ranger
Cost-effective infrastructure management and operation, thanks to the containerized nature of services on Amazon EKS
Compliance with stringent data security and privacy regulations, due to Apache Ranger’s policy enforcement capabilities

Deploy a big data cluster on Amazon EKS and configure Ranger for access control

In this section, we outline the process of deploying a big data cluster on AWS EKS and configuring Ranger for access control. We use AWS CloudFormation templates for quick deployment of a big data environment on Amazon EKS with Apache Ranger.

Complete the following steps:

Upload the provided template to AWS CloudFormation, configure the stack options, and launch the stack to automate the deployment of the entire infrastructure, including the EKS cluster and Apache Ranger integration.

After a few minutes, you’ll have a fully functional big data environment with robust security management ready for your analytical workloads, as shown in the following screenshot.

On the AWS web console, find the name of your EKS cluster. In this case, it’s dep-demo-eks-cluster-ap-northeast-1. For example:

aws eks update-kubeconfig --name dep-eks-cluster-ap-northeast-1 --region ap-northeast-1

## Check pod status.

kubectl get pods --namespace hadoop

kubectl get pods --namespace platform

kubectl get pods --namespace trino

After Ranger Admin is successfully forwarded to port 6080 of localhost, go to localhost:6080 in your browser.
Log in with user name admin and the password you entered earlier.

By default, you have already created two policies: Hive and Trino, and granted all access to the LDAP user you created (depadmin in this case).

Also, the LDAP user sync service is set up and will automatically sync all users from the LDAP service created in this template.

Example permission configuration

In a practical application within a company, permissions for tables and fields in the data warehouse are divided based on business departments, isolating sensitive data for different business units. This provides data security and orderly conduct of daily business operations. The following screenshots show an example business configuration.

The following is an example of an Apache Ranger permission configuration.

The following screenshots show users associated with roles.

When performing data queries, using Hive and Spark as examples, we can demonstrate the comparison before and after permission configuration.

The following screenshot shows an example of Hive SQL (running on superset) with privileges denied.

The following screenshot shows an example of Spark SQL (running on IDE) with privileges denied.

The following screenshot shows an example of Spark SQL (running on IDE) with permissions permitting.

Based on this example and considering your enterprise requirements, it becomes feasible and flexible to manage permissions in the data warehouse effectively.

Conclusion

This post provided a comprehensive guide on permission management in big data, particularly within the Amazon EKS platform using Apache Ranger, that equips you with the essential knowledge and tools for robust data security and management. By implementing the strategies and understanding the components detailed in this post, you can effectively manage permissions, implementing data security and compliance in your big data environments.

About the Authors

Yuzhu Xiao is a Senior Data Development Engineer at Amber Group with extensive experience in cloud data platform architecture. He has many years of experience in AWS Cloud platform data architecture and development, primarily focusing on efficiency optimization and cost control of enterprise cloud architectures.

Xin Zhang is an AWS Solutions Architect, responsible for solution consulting and design based on the AWS Cloud platform. He has a rich experience in R&D and architecture practice in the fields of system architecture, data warehousing, and real-time computing.

Home Assistant 2024 – Which Hardware to Buy + Full Install Guide

2024-04-29 digiblur DIY

Post Syndicated from digiblur DIY original https://www.youtube.com/watch?v=iE0b8rjVglA

Пациенти, пациенти – 8

2024-04-29 Григор

Post Syndicated from Григор original http://www.gatchev.info/blog/?p=2359

Срещам на вратата на входа съседа, прибира се с мрежичка продукти. Здрасти, как си, актуална обстановка… Той:

– Ще се ваксинираш ли за коронавируса? Аз – не. Не знам какво слагат в тия ваксини, тайна е. Никой разумен човек няма да се ваксинира при това положение.

Звучи разумно. Да му кажа, че не е тайна, има го даже на много места в Нета? Ама все пак е възрастен човек, без особено образование, дългите и сложни имена на съставки нищо няма да му говорят… Погледът ми пада върху мрежичката му, и ми идва по-добра идея:

– Гледам, че си купил кренвирши?

– Да. Защо? – Никакъв признак на правене на връзка. Изчаквам малко – не, няма.

– А знаеш ли какво слагат в тях?

Гледа ме недоумяващо. Внезапно в погледа му се промъква ужас, лицето му побелява и ръцете му се разтреперват:

– Мислиш, че слагат ваксини ли?!?!

Разумността изяснена.

—-

– Абе, ти си баси тъпанаря! Всеки знае, че наночиповете във ваксините ги произвежда Бил Гейтс по нареждане на Ротшилд! Вирусът изобщо не съществува, конспирация е! Хората боледуват, понеже ги пръскат с кемтрейлсове! Забелязваш ли колко много са кемтрейлсовете напоследък?

– Гледам, че са по-малко. Нали самолетите летят по-малко… – опитвам се да проникна с някаква логика.

– Ами! Просто са се научили да ги правят невидими! Иначе защо ще въвеждат 5G-то, ако няма наночипове да ги управляват през него?

Чудя се колко ли още от модерните лудости ще са се събрали в горкия човек. Традиционните – шизофрения, параноя, мании, психози – обикновено са по една на пациент…

—-

– В Конституцията е записано правото ми на лична свобода, нали? Никой не може да ме заставя да си бода в тялото каквото не искам! Ако ще даже наистина да е полезно! Въпрос на принцип е!

Как да му обясниш на разбираем за него език, че не е прав?

– Добре, защо тогава не се бориш срещу това да трябва да имаш шофьорска книжка, за да караш кола? Също ти ограничава свободата, а е въпрос на принцип.

– Аааа, това е съвсем различно нещо! Човек като няма книжка, може да направи с колата някоя катастрофа, нали? И може да пострада, или даже да се убие. И други хора също може да съсипе. Не е същото!…

—-

Коментари във Фейсбук под статия, предупреждаваща за нов вариант на SARS-CoV-2:

-Стига сте пръскалитози нов щам един ден ще се изсипе над всще деца и близки така и на вас какво си мислите че ще останете не наказани от Бога ли ще си платите с всяка една стотинка до милионите си тогава ще искате и вие да умрете но няма защото Божието наказание ще се излива върху вассегс сатсна така се лъже че не усещате че ви прави на НН ай големи глупаци и серадва за това че паднахте на клопката

– Ай сиктир бе-през една седмица разработват нови щамове и ги разпространяват по въздух и вакси! Бог да се заеме с тея човекоубийци!

-Няма вирус това са престъпления

– Световните Здравни Боклуци и Техните началници Мулти богатите еврей докато не съсипят цивилизованият свят няма да кротнат да си измислят щамове…

– Започна да ми става смешно, не разбраха ли че хората отдавна не се страхуват

– Тези СЗО са сключили договор с дявола

(Не, нито един не е ироничен. И имаше още стотици такива…)

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– Абе човек, едно нещо ми обясни! Ти съвест нямаш ли, бе? Не те ли е срам да гледаш хората в очите и да ги лъжеш и да им загробваш животите?! Че са ти пълнили главата толкова години в тоя ВУЗ с лъжи, това ясно. Промили са ти мозъка, повярвал си тия глупости. Ама толкова години откакто си завършил, как па не видя, че бактериите и вирусите са измислица? Че хората боледуват, понеже твоите авери от правителствата ги ръсят с кемтрейлсове и инжектират с отрови? Нема как да си толкова тъп, не ми ги разправяй тия на мен! Кажи ми, срам и съвест нямаш ли?! Сметка даваш ли си колко хора си вкарал в гроба с тия лъжи, а?! Малко ти е да те застрелят – на парчета трябва да те режат! Да имах власт, знаеш ли какво щях да ви направя всичките до един?!… Ама часът на истината идва, да знаеш! Умните хора, дето не са ни промили мозъка и знаем истината, вече се организираме! Някоя нощ така ще ви подпукаме, че нема и да разберете откъде ви е дошло! Всичките лекари, дето мамите и тровите горкия български народ, ще ви избесим по дърветата!…

(Не, не е пациент с диагноза. Води се психично здрав, ходи където иска, кара кола, гласува. И най-вероятно или скоро ще има, или вече има оръжие…)

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– Всичко това с умрелите от Ковид е лъжа! Няма такива! Аз го карах, мои роднини го караха – всичките сме здрави! Изобщо не познавам умрял от него! Ти познаваш ли човек, който да е умрял от Ковид? Не познаваш, нали?

– Познавам над дузина. Няколко от тях ги познаваш и ти. Христо Пощаков, Сашо Карапанчев…

– Не е вярно! Те не умряха от Ковид! Фалшифицирали са им диагнозите! Ти просто не знаеш!

– Абе Пощака вярно, че умря чак в Испания, ама Сашо, като го закарали в Пирогов най-сетне, се опитва да го спаси мой състудент. Така че знам със сигурност от какво почина.

– Лъжат те! Така са им наредили! Иначе ще им отрежат заплатите!

– Хм… А ти откъде имаш информацията, че са починали от друго? И че лекарите лъжат за Ковид? Че им нареждат така, че им режат иначе заплатите? Някакъв надежден източник ли е? Кажи, да знам и аз.

– А, значи и ти си агент на тая мафия? Нормално де, ти и за Украйна отричаш, че нацистите там избиват народа до човек. И лъжеш, че Русия я била нападнала. Я кажи, колко ти плащат, за да разпространяваш тия?…

—-

Случай от гастроентерологично списание:

При 43-годишна жена с улцерозен колит е проведена рутинна колоноскопия. Установени са полипоидни формации с размер до 6 mm. При отстраняването им започва обилно кървене, което налага поставянето на метални клипсове за спиране на кървенето (снимка в коментарите). Не е идентифицирана перфорация на червото. Някои от полипите кървят дори само при докосване с апарата. Колоноскопията бързо е прекратена и изследване на кръвосъсирването показва шокиращи резултати – протромбиново време 139 секунди (нормата е 10 до 15), INR първоначално 8, впоследствие 12 (нормата е 0.9 – 1.2). Чернодробните ензими AST и ALT са повишени до три пъти над горната граница, но пациентът няма чернодробна цироза.

След допълнително разпитване се оказва, че пациентът приема куркума в пет пъти по-висока от “стандартната” доза. Куркумата е популярна съставка в “алтернативни” терапии, включително и за улцерозен колит. Основната активна съставка е куркумин, който удължава протромбиновото време, повишава INR и освен това има антиагрегантен ефект върху тромбоцитите. Всички тези фактори водят до повишен риск от кървене при предозиране с куркума.

Бързото приложение на витамин К и замразена плазма води до спадане на INR до 1.9 в рамките на 24 часа и пациентът е освободен за домашно лечение.

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Пратиха ми за преглед служител от ръководството на средно голяма фирма. Работникът имаше рак на простатата, но беше отказал всякакво конвенционално лечение. Първо каза, че не може да си спомни какво лекарство приема и аз цитирах това в доклада си. След това ме помоли да коригирам доклада и ми прати снимки на няколко различни хомеопатични лекарства, общо девет на брой. Редактирах съответно, уточнявайки, че няма доказателства, че хомеопатията е ефективна при онкологично болни и цитирах доказани медицински източници. Това влиза в задълженията ми, тъй като фирмата, за която работи този служител, иска да разбере прогнозата за състоянието му. Той отново оспори доклада ми и възрази срещу факта, че хомеопатичното лекарство е безполезно. Основанието му беше , че ръководството щяло да си помисли, че не се лекува! Преди да се разделим, каза, че възнамерява да пътува за Африка да се лекува там, но като го попитах какво е лечението, каза, че ще се консултира с врачка.

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От БГ-Мама (там НЯМАТ изчерпване!):

Ако съм бременна мога ли да гледам порно, без да увредя психиката на детето?

При язва как се приемат живите охлюви?

Всички инвитро деца са вампири! Но още сте твърде невежи, за да го разберете!

Перете ли си заедно гащи и чорапи? Аз даже отделям леви от десни чорапи! И гащите гледам да не се опират предно със задно на два чифта, че току- виж се чифтосали нещо…

Кърмене е имало много преди да има молове. И моловете ги има, защото го е имало кърменето.

Малко глупав въпрос, но…Има ли някаква опасност, когато зъболекарят работи с машинка, когато има гръмотевици?

В Испания има много латинци, които са испаноговорящи.

Това молекулата на палмовата мазнина била с отворена структура и се свързвала с молекулата на човешката мазнина образувайки пластмаса

За да се научиш да свириш на музикален инструмент не се изисква никакъв талант…точно като да хванеш мотиката е!

Паразитите се събират в червата на пълнолуние,за да се размножат.затова прочистването е на пълнолуние.

Допълнение: в зависимост от вида си, паразитите предизвикват няколко влечения – към храна, /много храна, все сте гладни, все не ви стига/, към сладко/шоколад, вафли, бисквити/, към алкохол, към наркотици, към цигари, към кофеин /постоянни кафета през деня/ и към безразборен секс.

Космонавтите дишат точно по определен начин, за да могат да се предпазят от паразитите. Аз лично дишам като тях най-малко по половин час на ден.

Ми не знам какво се води човек, който пие 500 мл. джин на вечер и нищо му няма. Веган ли е?

Можете ли да ми препоръчате такива матки, които наистина са 100% натурални.

Здравейте! Искам да попитам за добър мъжки гениколог в град Варна. Благодаря предварително!

За деца изобщо пък не съм мислил,ама нали има сурикатна майка дето пак можеш да ползваш твойта си сперма и да си направиш твое дете,ква е разликата?

Има някакъв възпалителен процес,пусни си цитонамазка на свлачището.

Месото нямало нито една магическа съставка, която да не можем да намерим в растенията.

Без да засегна нечии майченски авторитет,но именно заради подобни глезотии като гушкане,някои от децата превръщащи се в тинейджъри минават и на съседния бряг,ако ме разбирате за какво говоря.

Детето ми се зарази с едра шарка от яслата. Сложих захар до леглото за да мине по – лесно шарката – за умилостивяване на светицата и „баба Шарка”.

Този тунел, който се „вижда“ преди смъртта, съм чела, че всъщност е гръбначният стълб, от където минава душата и излиза през фонтанелата

На много места пише, че забременяването може да стане до няколко дни след секс. А аз имам чувството, че като стана права и де що има сперматозоиди в мен изпопадват. Те намират ли си някакъв начин да се закрепват в тялото на жената за известно време? Естествено аз не бързам да ставам, но … не мога и да лежа цяла вечност

Това означава ли, че душите ни се намират някъде около задните части?

[$] A leadership crisis in the Nix community

2024-04-29 daroc

Post Syndicated from daroc original https://lwn.net/Articles/970824/

On April 21, a group of anonymous authors and non-anonymous signatories published
a lengthy open letter to the

Nix community
and Nix founder Eelco Dolstra calling for his resignation from the project. They
claimed ongoing problems with the project’s leadership, primarily focusing on the
way his actions have allegedly
undermined people nominally empowered to perform various
moderation and governance tasks. Since its release, the letter has gained
more than 100 signatures.

Security updates for Monday

2024-04-29 jake

Post Syndicated from jake original https://lwn.net/Articles/971487/

Security updates have been issued by AlmaLinux (buildah, go-toolset:rhel8, golang, java-11-openjdk, java-21-openjdk, libreswan, thunderbird, and tigervnc), Debian (chromium, emacs, frr, mediawiki, ruby-rack, trafficserver, and zabbix), Fedora (chromium, grub2, python-idna, and python-reportlab), Mageia (chromium-browser-stable, firefox, opencryptoki, and thunderbird), Red Hat (container-tools:4.0, container-tools:rhel8, git-lfs, and shim), SUSE (frr, java-11-openjdk, java-1_8_0-openjdk, kernel, pdns-recursor, and shim), and Ubuntu (apache2, cpio, curl, glibc, gnutls28, less, libvirt, and pillow).

Noise

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[$] A leadership crisis in the Nix community

Security updates for Monday

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