The write-up by Overcast explores whether Kubernetes pods are truly evicted because of CPU pressure or if other scheduler nuances are at play. By dissecting eviction events and kubelet metrics, the author equips operators with actionable tips to diagnose and prevent unexpected pod terminations.
https://overcast.blog/do-pods-really-get-evicted-due-to-cpu-pressure-2b27274a670c

This piece argues that GitHub’s network effects, developer experience, and strategic acquisitions ultimately cemented its dominance in the code-hosting world. It contrasts competing platforms and offers lessons for toolmakers seeking to build thriving ecosystems.
https://blog.gitbutler.com/why-github-actually-won/

Laminar - open-source all-in-one platform for engineering AI products. Create data flywheel for your AI app. Traces, Evals, Datasets, Labels. YC S24.

https://github.com/lmnr-ai/lmnr

vCluster - Create fully functional virtual Kubernetes clusters - Each vcluster runs inside a namespace of the underlying k8s cluster. It's cheaper than creating separate full-blown clusters and it offers better multi-tenancy and isolation than regular namespaces.

https://github.com/loft-sh/vcluster?tab=readme-ov-file

The post from Massdriver demonstrates how to generate clean Infrastructure-as-Code configurations from resources that already exist in your cloud accounts. Through step-by-step examples, it shows teams how to regain version control and security compliance without rebuilding everything from scratch.
https://www.massdriver.cloud/blogs/generating-infrastructure-as-code-from-existing-cloud-resources

In his overview, Martin Heinz unpacks a recent technical challenge and walks readers through the solution, complete with code snippets and performance benchmarks. The candid narrative emphasizes practical learning and encourages experimentation in everyday development workflows.
https://martinheinz.dev/blog/111

Pretty fancy and modern terminal file manager

https://github.com/yorukot/superfile

Real-time monitoring of Linux process network traffic, including the client IP, port, and transfer speed for each connection.

https://github.com/CDWEN0526/tmd-top

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

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

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

Kubernetes Control Plane Virtual IP and Load-Balancer

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

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/

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/

Get notified when actions are taken in the AWS Console.

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

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

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

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

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

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

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/

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