DevOps&SRE Library – Telegram
DevOps&SRE Library
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Библиотека статей по теме DevOps и SRE.

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Server-Side Apply instead of 3-Way Merge: How werf 2.0 solves Helm 3 challenges

https://blog.werf.io/ssa-vs-3wm-in-helm-werf-nelm-4d7996354ebe
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Kubernetes Storage Performance Comparison Rook Ceph and Piraeus Datastore (LINSTOR)

Understanding Kubernetes storage is crucial for deployments that rely on persistent volumes within K8s. In this article, we’ll explore various software options for K8s storage based on online research. Additionally, we’ll delve into two specific choices that offer replicated block storage: Piraeus Datastore (LINSTOR) and Rook Ceph.


https://medium.com/@gjanders03/kubernetes-storage-performance-comparison-rook-ceph-and-piraeus-datastore-linstor-e9bc2859a8f0
Kube-Proxy and How it works!

Behind every Kubernetes network, there’s a crucial component that operates behind the scenes, converting your Services into functional networking rules. This component is known as Kube-Proxy.

In this article, we’ll delve into what Kube-Proxy is, how it functions, and its various modes. We’ll also show you how to inspect IPtables rules for a ClusterIP Service.


https://devops5.hashnode.dev/kube-proxy-and-how-it-works
A hands-on lab: Why running as root in Kubernetes containers is dangerous?

https://dev.to/wasiucionekm/kubernetes-security-in-practice-implications-of-running-containers-as-root-474n
The Case for Shared Storage

In this post, I’ll start off with a brief overview of “shared nothing” vs. “shared storage” architectures in general. This discussion will be a bit abstract and high-level, but the goal is to share with you some of the guiding philosophy that ultimately led to WarpStream’s architecture. We’ll then quickly transition to discussing the trade-offs between the two architectures more specifically in the context of data streaming and WarpStream; this is the WarpStream blog after all!


https://www.warpstream.com/blog/the-case-for-shared-storage
Breaking down CPU speed: How utilization impacts performance

The Performance Engineering team at GitHub assessed how CPU performance degrades as utilization increases and how this relates to capacity.


https://github.blog/engineering/architecture-optimization/breaking-down-cpu-speed-how-utilization-impacts-performance
Why we use our own hardware at Fastmail

Fastmail has a long history of using our own hardware. We have over two decades of experience running and optimising our systems to use our own bare metal servers efficiently.


https://www.fastmail.com/blog/why-we-use-our-own-hardware
The Terralith: Monolithic Architecture of Terraform & Infrastructure as Code

This article explores the challenges and pitfalls of Terralith, a monolithic Terraform architecture in Infrastructure as Code, and uncovers why a Terralith is not considered best practice.


https://masterpoint.io/updates/terralith-monolithic-terraform-architecture
Terraform 'data source will be read during apply' messages - What is it and how to fix

Terraform users will likely be familiar with “data source will be read during apply” messages that may appear in the plan output. These messages can be confusing and may even lead to unexpected re-creation of resources. Typically, these messages are related to using data sources in combination with Terraform modules and explicit dependencies.


https://sanderknape.com/2024/11/terraform-data-source-read-during-apply-messages-fix
Multi-environment infrastructure with terraform variables files

In our company we have thousands of resources managed by Terraform. Which are deployed to multiple environments (dev, staging, production) and different regions.


https://dev.to/musukvl/multi-environment-with-terraform-variables-file-16bp
tufw

This go package provides a terminal user interface for ufw.


https://github.com/peltho/tufw
How to Handle Sudden Bursts of Traffic or "Thundering Herd Problem"?

Techniques to Avoid Potential Failures Caused by Sudden Traffic Spikes


https://newsletter.scalablethread.com/p/how-to-handle-sudden-bursts-of-traffic
How using Availability Zones can eat up your budget — our journey from Prometheus to VictoriaMetrics

https://engineering.prezi.com/how-using-availability-zones-can-eat-up-your-budget-our-journey-from-prometheus-to-be8a816f7efe
bento

Bento is a high performance and resilient stream processor, able to connect various sources and sinks in a range of brokering patterns and perform hydration, enrichments, transformations and filters on payloads.


https://github.com/warpstreamlabs/bento
studio

A lightweight Database GUI in your browser. It supports connecting to Postgres, MySQL, and SQLite.


https://github.com/outerbase/studio
Comparison of Networking Solutions for Kubernetes

In this study, our goal was to find the solution with the lowest latency, highest throughput, and the lowest setup cost. Since our load is latency-sensitive, our intent is to measure high percentile latencies at relatively high network utilization. We particularly focused on the performance under 30–50% of the maximum load, because we think this best represents the most common use cases of a non-overloaded system.


https://machinezone.github.io/research/networking-solutions-for-kubernetes