CatOps – Telegram
CatOps
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DevOps and other issues by Yurii Rochniak (@grem1in) - SRE @ Preply && Maksym Vlasov (@MaxymVlasov) - Engineer @ Star. Opinions on our own.

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​​On behalf of the Architecture Stage organizational committee I want to invite you to the DOU Day Conference!

It’ll take place offline in Kyiv on the 18th of May.

The thing is that if you buy a ticket now, you will get -50% off for the second one. So, a great opportunity to grab some tickets together with your teammates.

#event
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The core idea of this article is pretty simple: you need to protect your Terraform states. I don't think this is a debatable topic, and anyone has a different opinion on this matter.

To quote the article itself:

 an attacker can modify the Terraform state file it’s game over and bad times ahead.


However, in the very end, this article provides some suggestions that I never saw implemented IRL:

- Store the state lock in a separately permissioned location
- Use a read-only role for terraform plan executions

#terraform
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​​For todays Donations Monday I want to share with you a fundraiser for 101 Starlink terminals by Dzyga Paw foundation:

https://dzygaspaw.com/starlinks-101

#Donations #Ukraine
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Some time ago, I predicted that there is going to be more Kubernetes distributions. Then it didn’t happen, so I thought I was wrong.

Yet, now Canonical has introduced their Kubernetes distribution.

It’s based on the upstream Kubernetes 1.30, has some built-in add-ons, and yes, you can install it with snap.

#kubernetes
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A neat comparison between Argo and Flux.

I like the fact that the article mostly focuses on UX and use cases. Yet, I would disagree with this statement here:
 would deploy one Argo CD per tenant, where each tenant is an independent developer team with their applications, but it can work with multiple clusters, for example, dev/stage/prod, etc.

I mean sure. If you have enough resources, go for it! However, I witnessed how getting down from “Argo per team” to “just one Argo” reduced resource consumption in a cluster by 90%.

#cicd #gitops
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People often say that Observability is a Data problem. Although, it sounds correct intuitively, I cannot say that I fully understood how Data engineering approaches could be applied to the Observability systems.

This article about Wide Events clarified things for me a bit. Indeed, if any event that happened in the system is just an object with some value and useful metadata, things like metrics, logs, and traces become less relevant - it's all events now!

Apparently, this is how Observability is done in Meta, according to the author, and apparently people in Meta like it. I never worked for Meta, I don't know what they really use there and if it's better than the tools available to us mere mortals.

However, this is an interesting concept, and it would be wonderful to see similar projects that are not internal to the Big Tech companies.

#observability
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Kondense is a Kubernetes tool that allows you resize contianers in a pod based on the memory pressure.

It’s installed as a sidecar and uses real-time memory pressure to determine the optimal memory for each containers in a pod.

You can read the justification behind this tool in this Reddit post

#kubernetes
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RedHat reported a 10/10 vulnerability in the xz compression library.

The vulnerability provides remote backdoor access and present in xz 5.6.0 and 5.6.1.

There’s also an interesting discussion of this vulnerability on HackerNews:
 annoying - the apparent author of the backdoor was in communication with me over several weeks trying to get xz 5.6.x added to Fedora 40 & 41 because of its "great new features".

#security
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A nice step-by-step guide of how to test a Python AWS Lambda function locally with LocalStack.

This guide doesn't cover fixtures in LocalStack, though. In my experience, adding fixtures into LocalStack is PITA, but I have a very specific scenario where I need to create a couple of thousands of S3 objects relatively fast.

#aws #serverless #python