Interesting observations on how OpenAI uses Kubernetes

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Interesting info on how Uber operates it's infrastructure.

There is no such system that will not fail, so the question - how? Talks about failure domains, fault isolation and testing it (using chaos engineering)

How to think about these systems

Actually quite good insights

cross-posted from [!softwareengineering@group.lt](https://group.lt/c/softwareengineering): https://group.lt/post/46385 > Adopting DevOps practices is nowadays a recurring task in the industry. DevOps is a set of practices intended to reduce the friction between the software development (Dev) and the IT operations (Ops), resulting in higher quality software and a shorter development lifecycle. Even though many resources are talking about DevOps practices, they are often inconsistent with each other on the best DevOps practices. Furthermore, they lack the needed detail and structure for beginners to the DevOps field to quickly understand them. > > In order to tackle this issue, this paper proposes **four foundational DevOps patterns: Version Control Everything, Continuous Integration, Deployment Automation, and Monitoring**. The patterns are both detailed enough and structured to be easily reused by practitioners and flexible enough to accommodate different needs and quirks that might arise from their actual usage context. Furthermore, the **patterns are tuned to the DevOps principle of Continuous Improvement by containing metrics so that practitioners can improve their pattern implementations**. --- The article does not describes but actually identified and included 2 other patterns in addition to the four above (so actually 6): - **Cloud Infrastructure**, which includes cloud computing, scaling, infrastructure as a code, ... - **Pipeline**, "important for implementing Deployment Automation and Continuous Integration, and segregating it from the others allows us to make the solutions of these patterns easier to use, namely in contexts where a pipeline does not need to be present."  The paper is interesting for the following structure in describing the patterns: > - Name: An evocative name for the pattern. > - Context: Contains the context for the pattern providing a background for the problem. > - Problem: A question representing the problem that the pattern intends to solve. > - Forces: A list of forces that the solution must balance out. > - Solution: A detailed description of the solution for our pattern’s problem. > - Consequences: The implications, advantages and trade-offs caused by using the pattern. > - Related Patterns: Patterns which are connected somehow to the one being described. > - Metrics: A set of metrics to measure the effectiveness of the pattern’s solution implementation.

Some Terraform practices

I remember when reverse tunnel was a security issue - now it is widely used!

Tracing back to the root

Are you doing a new trend already?

reliability capabilities in gcp

Simple intro into port scanning and a little bit on detection

So... the house of cards is starting to fall? Such and similar events always remind me two readings: [How complex systems fail](https://how.complexsystems.fail/) and [Why Do Computers Stop and What Can Be Done About It?](https://www.hpl.hp.com/techreports/tandem/TR-85.7.pdf) can this be prevented? I don't think so, but what could be done? Check this book - [Antifragile](https://ziurkes.group.lt/book/5325/s/antifragile)

Cool story

HELP! I am in an awkward situation: after unsuccessful attempt to mount new disks to my Yunohost, I got the above on the server (old laptop) screen. OF COURSE I have the password, saved in my KeePass. The problem is, there are characters there I do not know how to enter, like **ô¼Î** etc. Hints welcome.

If you want to dig deeper into sysadmin's area - this is a good article.

Some advice on preparing and passing the audit

Nice write-up on estimates

Wrong things at the wrong time

Interesting solution for "reverse anycast" problem

What graphics.. awww

Diagram as Code tools are always interesting to me.

Question if one should run DB on K8s pops-up sometimes, here is a list of some options if you decide to do it. Have you tried any of it?

Taking a look into chaos engineering, rather old, but good one.

Not a recycled “truths”, but some interesting advice.

If this works as advertised - will be very useful

I think one of the best explanation on how to run cron properly with Docker

Nice collection of posts to bootstrap knowledge on OpenTelemetry. This is kinda becoming standard on distributed tracing of your app/infra.

Still very useful

Nice summary on what and whys regarding Docker status in K8s

Enjoyed the talk. Seems that Strange Loop has some interesting angle on talks.

from a different angle than sysadmin

A walkthrough for making Kubernetes Operator

Cool stuff

What do you think?

Some comparison, was most interested in performance differences