DevOps & SRE notes

This piece provides a guide to building a Retrieval-Augmented Generation (RAG) system using Anthropic's Claude, PostgreSQL, and Python on AWS. The tutorial walks through setting up the necessary PostgreSQL extensions and using Amazon Bedrock to create an application that generates more accurate AI responses.

https://www.tigerdata.com/blog/building-a-rag-system-with-claude-postgresql-python-on-aws

Build and deploy Go applications

https://github.com/ko-build/ko

Explore the challenges and solutions for managing stateful applications in Kubernetes using Operators, gaining insights into how to effectively handle persistent data and complex deployments. This blog post delves into the complexities of stateful workloads in Kubernetes.
https://blog.palark.com/stateful-in-kubernetes-and-operators/

Understand the intricacies of container communication within a Kubernetes pod, exploring the various mechanisms and considerations for enabling effective interaction between containers in a shared environment. This article provides insights into Kubernetes networking concepts.
https://medium.com/@sumuduliyan/container-communication-inside-a-kubernetes-pod-a5e84d607ef2

KubeBlocks is an open-source control plane software that runs and manages databases, message queues and other stateful applications on K8s.

https://github.com/apecloud/kubeblocks

A batteries-included Python client library for Kubernetes that feels familiar for folks who already know how to use kubectl

https://github.com/kr8s-org/kr8s

The essay walks through a hands-on pipeline that signs Kubernetes container images with Cosign, enforces them with Kyverno, and stores keys in HashiCorp Vault—all wired together in GitLab CI. You’ll leave with a reproducible template for securing your software supply chain.
https://angapov.medium.com/kubernetes-container-images-signing-using-cosign-kyverno-hashicorp-vault-and-gitlab-ci-c4e2041d1310

This post explains how Sharyash Agrawal tamed CPU throttling in Go services running under Kubernetes limits. From choosing the right GC knob to tuning Go’s runtime scheduler, the guide helps teams avoid sudden latency spikes.
https://medium.com/@sharyash81/solving-cpu-throttling-issue-in-golang-applications-before-hitting-the-cpu-limit-in-kubernetes-7d8f40da6477

In Slack’s detailed write-up, engineers share how the Unified Grid architecture split a monolithic workspace into isolated “cells” to serve enterprises with hundreds of thousands of users. The narrative dives into sharding strategy, migration challenges, and the performance wins that followed.
https://slack.engineering/unified-grid-how-we-re-architected-slack-for-our-largest-customers/

The piece argues that traces beat metrics when you need to pinpoint latency spikes and hidden dependencies. It walks through three concrete debugging scenarios that show why span data can surface root causes in seconds.
https://jaywhy13.hashnode.dev/3-reasons-traces-better-than-metrics-for-debugging-your-application

This blogpost by Yandex SRE Dmitry Ziablov recounts a late-night incident that turned a harmless retry loop into a production outage. He dissects the cascade of failures and offers a framework for spotting bad retry patterns before they bite.
https://medium.com/yandex/good-retry-bad-retry-an-incident-story-648072d3cee6

In this article, “Making Your System Observable” outlines practical techniques for evolving from scattered logs to coherent observability across services. Readers will discover why a holistic signals-first mindset matters more than bolting on dashboards late in the game.
https://www.architecture-weekly.com/p/making-your-system-observability

A hybrid command-line/UI development experience for cloud-native development

https://github.com/kubernetes-sigs/kui?tab=readme-ov-file

Get notified when actions are taken in the AWS Console.

https://github.com/cloudandthings/terraform-aws-clickops-notifier

The insight compiled by Ashish B. serves as a living cheat sheet for common Google Cloud tasks, covering everything from IAM gotchas to cost-saving tricks with gcloud commands. It’s a handy reference for engineers who bounce between cloud providers and need quick recall of GCP specifics.
https://ashishb.net/programming/google-cloud/

This entry introduces Talos, a minimal Linux distribution purpose-built for Kubernetes, and explains how its immutable design reduces drift and patching headaches. It walks through the installation flow, cluster bootstrap, and day-two operations from a practitioner’s viewpoint.
https://a-cup-of.coffee/blog/talos/

Kubernetes Control Plane Virtual IP and Load-Balancer

https://github.com/kube-vip/kube-vip

Distributed, in-memory key/value store and cache. It can be used as an embedded Go library and a language-independent service.

https://github.com/olric-data/olric

The publication on Random Tinkering details how to schedule lightweight CronJobs that scrape node-level metrics with Node Exporter and ship them to Prometheus. It balances operational guidance with security considerations, ensuring observability without overloading the control plane.
https://randomtinkering.hashnode.dev/how-to-collect-kubernetes-node-metrics-with-node-exporter-using-cronjobs

This story dives into structuring Argo CD repositories with ApplicationSets so that teams can manage dozens of Kubernetes environments from a single source of truth. Clear diagrams and YAML examples make the pattern easy to adopt for both greenfield and legacy clusters.
https://medium.com/containers-101/how-to-structure-your-argo-cd-repositories-using-application-sets-1150e75d05b3