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

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Achieving High Availability with distributed database on Kubernetes at Airbnb

We chose an innovative strategy of deploying a distributed database cluster across multiple Kubernetes clusters in a cloud environment. Although currently an uncommon design pattern due to its complexity, this strategy allowed us to achieve target system reliability and operability.

In this post, we’ll share how we overcame challenges and the best practices we’ve developed for this strategy and we believe these best practices should be applicable to any other strongly consistent, distributed storage systems.


https://medium.com/airbnb-engineering/achieving-high-availability-with-distributed-database-on-kubernetes-at-airbnb-58cc2e9856f4
Introducing Off-CPU Profiling

How Off-CPU profiling works and how to get the most out of it


https://www.polarsignals.com/blog/posts/2025/07/30/introducing-off-cpu-profiling
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FossFLOW

FossFLOW is a powerful, open-source Progressive Web App (PWA) for creating beautiful isometric diagrams. Built with React and the Isoflow (Now forked and published to NPM as fossflow) library, it runs entirely in your browser with offline support.


https://github.com/stan-smith/FossFLOW
rotel

Rotel provides an efficient, high-performance solution for collecting, processing, and exporting telemetry data. Rotel is ideal for resource-constrained environments and applications where minimizing overhead is critical.


https://github.com/streamfold/rotel
Can LLMs replace on call SREs today?

There's a growing belief that AI-powered observability will soon reduce or even replace the role of Site Reliability Engineers (SREs). That's a bold claim---and at ClickHouse, we were curious to see how close we actually are.


https://clickhouse.com/blog/llm-observability-challenge
Cloudflare incident on August 21, 2025

On August 21, 2025, an influx of traffic directed toward clients hosted in the Amazon Web Services (AWS) us-east-1 facility caused severe congestion on links between Cloudflare and AWS us-east-1. This impacted many users who were connecting to or receiving connections from Cloudflare via servers in AWS us-east-1 in the form of high latency, packet loss, and failures to origins.

Customers with origins in AWS us-east-1 began experiencing impact at 16:27 UTC. The impact was substantially reduced by 19:38 UTC, with intermittent latency increases continuing until 20:18 UTC.

This was a regional problem between Cloudflare and AWS us-east-1, and global Cloudflare services were not affected. The degradation in performance was limited to traffic between Cloudflare and AWS us-east-1. The incident was a result of a surge of traffic from a single customer that overloaded Cloudflare's links with AWS us-east-1. It was a network congestion event, not an attack or a BGP hijack.

We’re very sorry for this incident. In this post, we explain what the failure was, why it occurred, and what we’re doing to make sure this doesn’t happen again.


https://blog.cloudflare.com/cloudflare-incident-on-august-21-2025
Pooling Connections with RDS Proxy at Klaviyo

How we scale our databases with RDS Proxy


https://klaviyo.tech/pooling-connections-with-rds-proxy-at-klaviyo-e79e04120188
Availability Models

Because “Highly Available” Isn’t Saying Much


https://www.thecoder.cafe/p/availability-models
When “Anti-Patterns” Become Best Practice: Lessons from Migrating a Global Pub/Sub Empire to Kubernetes

How architecting for scale taught us that sometimes breaking the rules is exactly what the business needs


https://bitbucket90.com/when-anti-patterns-become-best-practice-lessons-from-migrating-a-global-pub-sub-empire-to-k8s-c3dbcebdca68
Key Learnings from Creating Multi-Tenant GKE Clusters on Google Cloud with Thousands of Publicly Addressable Services

https://medium.com/google-cloud/key-learnings-from-creating-multi-tenant-gke-clusters-on-google-cloud-with-thousands-of-publicly-ea27d7bcd651
kubectl-explore

A better kubectl explain with the fuzzy finder


https://github.com/keisku/kubectl-explore
helm-cel

A Helm plugin that uses Common Expression Language (CEL) to validate values. Instead of using JSON Schema in values.schema.json, you can write more expressive validation rules using CEL in values.cel.yaml.


https://github.com/idsulik/helm-cel
kubechecks

kubechecks allows users of Github and Gitlab to see exactly what their changes will affect on their current ArgoCD deployments, as well as automatically run various conformance test suites prior to merge.


https://github.com/zapier/kubechecks