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Kubernetes 005. Overview of MicroK8s from Canonical (Ubuntu-folks).

Dear friend,

This year I had a pleasure and privilege to attend KubeCon Europe 2023 and this was the first time I’ve heard about MicroK8s. That sounded interesting and I decided I shall experiment with it and write a blogpost; but it didn’t catch my attention to a degree that I put it on top of my list; instead, I’ve put it to back burner. The last week I was talking to a colleagues of mine, who told me that he needs to test something in his production Kubernetes at home. I was quite interested, what does the one mean by “production Kubernetes cluster at home” and it appeared to be MikroK8s. At this stage I though, I don’t have any more excuses, so I just should sit and write it.

Is Kubernetes Used in Network Automation?

It is, indeed. The last week when we posted a blog about starting programming in C we got an interesting discussion in LinkedIn about Go vs Python with one right-honorable gentleman, who rightfully suggested that one of the main weaknesses of Python is that it requires to install dependencies on the host before you can use application. However, to be brutally honest, many Continue reading

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Measuring the Use of DNSSEC

It's challenging to measure the uptake of DNSSEC in the DNS. There are just so many aspects of the DNS that are occluded from view! How many DNS names are there in the DNS? How many of these are signed? How many queries are processed by DNS infrastructure? How many queries add DNSSEC validcation. We present a new measurement here which is a query-weighted view of the DNS, looking the amount of queries for DNS names that are DNSSEC-signed as a proportion of the total query load.

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AMD Feels The Server Recession, Too, But Growth Is Looming Large

With a server recession underway and its latest Epyc CPUs and Instinct GPU accelerators still ramping, this was a predictably soft, but still not terrible in the scheme of things, quarter for AMD. …

The post AMD Feels The Server Recession, Too, But Growth Is Looming Large first appeared on The Next Platform.

AMD Feels The Server Recession, Too, But Growth Is Looming Large was written by Timothy Prickett Morgan at The Next Platform.

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Technology Short Take 169

Welcome to Technology Short Take #169! Prior to the recent Spousetivities post, it had been a few months since I posted on the site; life has been busy, and it hasn’t left much time for blogging. Hopefully things will settle down soon, but until then I’ll continue to do the best I can to share useful information with folks. Hopefully something I’ve included in this Technology Short Take proves to be useful to someone. OK, let’s get on to the content!

Networking

• Navendu Pottekkat offers readers a comprehensive guide to API gateways, Kubernetes gateways, and service meshes. It’s a good breakdown of the technologies, how they’re related, how they’re different, and the intended/ideal use cases for each.

Security

• Backdoors in SSH public keys? Oh my. Be wary, friends.
• Alessandro Brucato updates on SCARLETEEL 2.0 enhancements and changes.
• Daniel Gzrelak walks readers through what appears to be a very large (potential) hole when configuring GitHub OIDC integration with AWS.
• Here we go again. As a side note, I am curious to know what other CPU architectures, if any, are affected. Will something like this spark a (larger) migration to ARM-based architectures?

Cloud Computing/Cloud Management

• Has your team started saying, Continue reading

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Red Hat rivals form Open Enterprise Linux Association

Three of Red Hat’s chief enterprise Linux competitors are banding together to create an alternative to Red Hat-based software, after the company made changes to its terms of use earlier this summer, making it more difficult to access its source code.Oracle, SUSE, and CIQ, in a joint statement issued Thursday, said that the new Open Enterprise Linux Association will “encourage the development” of Linux distributions compatible with Red Hat Enterprise Linux by providing free access to source code.“With OpenELA, CIQ, Oracle and SUSE join forces with the open source community to ensure a stable and resilient future for both upstream and downstream communities to leverage Enterprise Linux,” said CIQ CEO Gregory Kurtzer, in the statement.To read this article in full, please click here

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Red Hat rivals form Open Enterprise Linux Association

Three of Red Hat’s chief enterprise Linux competitors are banding together to create an alternative to Red Hat-based software, after the company made changes to its terms of use earlier this summer, making it more difficult to access its source code.Oracle, SUSE, and CIQ, in a joint statement issued Thursday, said that the new Open Enterprise Linux Association will “encourage the development” of Linux distributions compatible with Red Hat Enterprise Linux by providing free access to source code.“With OpenELA, CIQ, Oracle and SUSE join forces with the open source community to ensure a stable and resilient future for both upstream and downstream communities to leverage Enterprise Linux,” said CIQ CEO Gregory Kurtzer, in the statement.To read this article in full, please click here

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Argument Farming

I’m no stranger to disagreement with people on the Internet. Most of my popular posts grew from my disagreement with others around things like being called an engineer, being a 10x engineer, and something about IPv6 and NAT. I’ve always tried to explain my reasoning for my positions and discuss the relevant points with people that want to have a debate. I tend to avoid commenting on people that just accuse me of being wrong and tell me I need to grow up or work in the real world.

Buying the Farm

However, I’ve noticed recently that there have been some people in the realm of social media and influencing that have taken to posting so-called hot takes on things solely for the purpose of engagement. It’s less of a discussion and more of a post that outlines all the reasons why a particular thing that people might like is wrong.

For example, it would be like me posting something about how an apple is the dumbest fruit because it’s not perfectly round or orange or how the peel is ridiculous because you can eat it. While there are some opinions and points to be Continue reading

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Performant and Programmable Telco Networking with eBPF

To keep the world connected, telecommunication networks demand performance and programmability to meet customers when and where they are, from streaming the winning goal of the world cup to coordinating responses to the latest natural disaster. When switchboards were still run by human operators, telco companies were all about custom hardware with “black boxes” from vendors providing the speed the network needed. These black boxes controlled the performance of the network, which also made it dependent on where they were actually deployed. As telcos moved from traditional phone calls to additional services like messaging and mobile data, the demands on the network pushed the boundaries of what was possible. Network Functions Virtualization (NFV) sought to allow telcos to use “white box” commodity hardware to scale out throughput and increase flexibility. Technologies like the Data Plane Development Kit (

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Integrating Calico statistics with Prometheus

Metrics are important for a microservices application running on Kubernetes because they provide visibility into the health and performance of the application. This visibility can be used to troubleshoot problems, optimize the application, and ensure that it is meeting its SLAs.

Some of the challenges that metrics solve for microservices applications running on Kubernetes include:

• Visibility: Microservices applications are typically composed of many small, independent services. This can make it difficult to get a clear picture of the overall health and performance of the application. Metrics provide a way to aggregate data from all of the services, giving you a single view of the application.
• Troubleshooting: When something goes wrong with a microservices application, it can be difficult to identify the root cause of the problem. Metrics can help you to track down the problem by providing information about the state of the application at the time of the failure.
• Optimization: Metrics can be used to optimize the performance of a microservices application. By tracking metrics such as CPU usage, memory usage, and network traffic, you can identify areas where the application can be improved.
• SLAs: Many microservices applications have SLAs that they must meet. Metrics can be used to Continue reading

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Heavy Networking 694: A Network Engineering Roundtable

This week on Heavy Networking we've assembled a roundtable of network engineers to talk about...stuff. Each guest has brought a topic to discuss with the table, so we've got lots of subjects and lots of experiences and opinions. In particular we explore SPB, career advice, getting network automation off the ground, and the joys and perils of self-hosting.

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Heavy Networking 694: A Network Engineering Roundtable

This week on Heavy Networking we've assembled a roundtable of network engineers to talk about...stuff. Each guest has brought a topic to discuss with the table, so we've got lots of subjects and lots of experiences and opinions. In particular we explore SPB, career advice, getting network automation off the ground, and the joys and perils of self-hosting.

The post Heavy Networking 694: A Network Engineering Roundtable appeared first on Packet Pushers.

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Kubernetes Unpacked 032: AI Use Cases For Kubernetes

On today's Kubernetes Unpacked we speak with Evis Drenova about whether AI has a role to play in the Kubernetes ecosystem. We discuss everything from using chat-based generative AI tools to interact with Kubernetes to data models and data sets on Kubernetes to Machine Learning with Kubernetes.

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Kubernetes Unpacked 032: AI Use Cases For Kubernetes

On today's Kubernetes Unpacked we speak with Evis Drenova about whether AI has a role to play in the Kubernetes ecosystem. We discuss everything from using chat-based generative AI tools to interact with Kubernetes to data models and data sets on Kubernetes to Machine Learning with Kubernetes.

The post Kubernetes Unpacked 032: AI Use Cases For Kubernetes appeared first on Packet Pushers.

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One Tool to Rule Them All: How the Next Generation Does Cybersecurity

As cybersecurity becomes a vital part of business operations, the next generation of professionals will seek better advancements in protective technologies.

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Debug Queues from the dash: send, list, and ack messages

Today, August 11, 2023, we are excited to announce a new debugging workflow for Cloudflare Queues. Customers using Cloudflare Queues can now send, list, and acknowledge messages directly from the Cloudflare dashboard, enabling a more user-friendly way to interact with Queues. Though it can be difficult to debug asynchronous systems, it’s now easy to examine a queue’s state and test the full flow of information through a queue.

With guaranteed delivery, message batching, consumer concurrency, and more, Cloudflare Queues is a powerful tool to connect services reliably and efficiently. Queues integrate deeply with the existing Cloudflare Workers ecosystem, so developers can also leverage our many other products and services. Queues can be bound to producer Workers, which allow Workers to send messages to a queue, and to consumer Workers, which pull messages from the queue.

We’ve received feedback that while Queues are effective and performant, customers find it hard to debug them. After a message is sent to a queue from a producer worker, there’s no way to inspect the queue’s contents without a consumer worker. The limited transparency was frustrating, and the need to write a skeleton worker just to debug a queue was high-friction.

Now, Continue reading

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Introducing scheduled deletion for Cloudflare Stream

Designed with developers in mind, Cloudflare Stream provides a seamless, integrated workflow that simplifies video streaming for creators and platforms alike. With features like Stream Live and creator management, customers have been looking for ways to streamline storage management.

Today, August 11, 2023, Cloudflare Stream is introducing scheduled deletion to easily manage video lifecycles from the Stream dashboard or our API, saving time and reducing storage-related costs. Whether you need to retain recordings from a live stream for only a limited time, or preserve direct creator videos for a set duration, scheduled deletion will simplify storage management and reduce costs.

Stream scheduled deletion

Scheduled deletion allows developers to automatically remove on-demand videos and live recordings from their library at a specified time. Live inputs can be set up with a deletion rule, ensuring that all recordings from the input will have a scheduled deletion date upon completion of the stream.

Let’s see how it works in those two configurations.

Getting started with scheduled deletion for on-demand videos

Whether you run a learning platform where students can upload videos for review, a platform that allows gamers to share clips of their gameplay, or anything in between, scheduled deletion can help Continue reading

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IBM set to deliver mainframe AI services, support

As it previewed in March, IBM is set to deliver an AI-infused, hybrid-cloud oriented version of its z/OS mainframe operating system.Set for delivery on Sept. 29, z/OS 3.1, the operating system grows IBM’s AI portfolio to let customers securely deploy AI applications co-located with z/OS applications and data, as well as a variety of new features such as container extensions for Red Hat and Linux applications that better support hybrid cloud applications on the Big Iron.In this release of the mainframe’s OS, AI support is implemented in a feature package called AI System Services for IBM z/OS version 1.1. that lets customers build an AI Framework that IBM says is designed to support initial and future intelligent z/OS management capabilities.To read this article in full, please click here

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IBM set to deliver mainframe AI services, support

As it previewed in March, IBM is set to deliver an AI-infused, hybrid-cloud oriented version of its z/OS mainframe operating system.Set for delivery on Sept. 29, z/OS 3.1, the operating system grows IBM’s AI portfolio to let customers securely deploy AI applications co-located with z/OS applications and data, as well as a variety of new features such as container extensions for Red Hat and Linux applications that better support hybrid cloud applications on the Big Iron.In this release of the mainframe’s OS, AI support is implemented in a feature package called AI System Services for IBM z/OS version 1.1. that lets customers build an AI Framework that IBM says is designed to support initial and future intelligent z/OS management capabilities.To read this article in full, please click here

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IBM set to deliver mainframe AI services, support x

As it previewed in March, IBM is set to deliver an AI-infused, hybrid-cloud oriented version of its z/OS mainframe operating system.Set for delivery on Sept. 29, z/OS 3.1, the operating system grows IBM’s AI portfolio to let customers securely deploy AI applications co-located with z/OS applications and data, as well as a variety of new features such as container extensions for Red Hat and Linux applications that better support hybrid cloud applications on the Big Iron.In this release of the mainframe’s OS, AI support is implemented in a feature package called AI System Services for IBM z/OS version 1.1. that lets customers build an AI Framework that IBM says is designed to support initial and future intelligent z/OS management capabilities.To read this article in full, please click here

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IBM set to deliver mainframe AI services, support x

As it previewed in March, IBM is set to deliver an AI-infused, hybrid-cloud oriented version of its z/OS mainframe operating system.Set for delivery on Sept. 29, z/OS 3.1, the operating system grows IBM’s AI portfolio to let customers securely deploy AI applications co-located with z/OS applications and data, as well as a variety of new features such as container extensions for Red Hat and Linux applications that better support hybrid cloud applications on the Big Iron.In this release of the mainframe’s OS, AI support is implemented in a feature package called AI System Services for IBM z/OS version 1.1. that lets customers build an AI Framework that IBM says is designed to support initial and future intelligent z/OS management capabilities.To read this article in full, please click here