CloudGoat is Rhino Security Labs' "Vulnerable by Design" AWS deployment tool

https://github.com/RhinoSecurityLabs/cloudgoat

Technical postmortem detailing a sophisticated supply-chain compromise of the TanStack ecosystem on May 11, 2026

https://tanstack.com/blog/npm-supply-chain-compromise-postmortem

Practical walkthrough of running kAgent against a Kubernetes cluster, using MCP tools to investigate common workload failures. Useful for thinking about safe AI copilots for day-2 ops, not just chat-based kubectl wrappers.

https://andamp.io/insights/blog/hands-on-with-kagent-ai-assisted-kubernetes-troubleshooting-with-mcp

🤦‍♂️ Tech is fundamentally broken. Microsoft's brilliant new fix to make the Windows 11 Start menu feel snappy is just spiking your CPU to maximum frequency for three seconds every time you click it, rather than optimizing the UI. What a world.

https://www.windowslatest.com/2026/06/10/windows-11s-performance-boost-released-today-enable-it-using-these-steps/

Operator to streamline renovate executions in Kubernetes

https://github.com/mogenius/renovate-operator

This article provides an insightful, framework-driven overview of automated post-mortem generation, defining how AI transforms incident retrospectives from manual reconstruction into automated drafting based on existing artifacts. It introduces a structural model for evaluating tools rather than just summarizing vendor features.

https://www.arvoai.ca/blog/automated-post-mortem-generation

Pull Request-like Review/Approval flow for database queries. For compliant but smooth Engineering access to production.

https://github.com/kviklet/kviklet

kubectl debugging plugin to collect full or partial cluster state and serve via an api server. Kubernetes time machine

https://github.com/crust-gather/crust-gather

Deep-dive technical guide into the exact mechanics of pod restarts and configuration updates in Kubernetes

https://www.cncf.io/blog/2026/03/17/when-kubernetes-restarts-your-pod-and-when-it-doesnt/

The 10-step playbook to reduce K8s bills by 40-60%, focusing heavily on bridging the gap between requested and actually used resources.

https://leanopstech.com/blog/kubernetes-cost-optimization-guide-2026/

Hands-on comparison against a deliberately broken cluster, with real outputs and failure-mode differences. Practical for deciding where AI Kubernetes tools fit: scanner, agent framework, or natural-language kubectl layer.

https://decodeops.substack.com/p/k8sgpt-vs-kagent-vs-kubectl-ai-what

A userspace out-of-memory killer

https://github.com/facebookincubator/oomd

Open, Multi-Cloud, Multi-Cluster Kubernetes Orchestration

https://github.com/karmada-io/karmada

The article explores how integrating these two prominent tools can accelerate and enhance platform engineering initiatives.

https://platformengineering.org/blog/platform-engineering-with-crossplane-and-argocd

Containerlab focuses on the containerized Network Operating Systems which are typically used to test network features and designs

https://github.com/srl-labs/containerlab

Lessons from Moving a Live Production Database describes the complex process of migrating a massive dataset while keeping the service available to users.

The case study covers specific strategies for achieving zero downtime during a high-risk infrastructure change.

But is zero downtime always worth the engineering effort?

Imagine that you have two options:
1. Spend several weeks preparing and testing a zero-downtime migration.
2. Schedule 20 minutes of downtime during a low-traffic period.
Considering that 99.9% availability allows approximately 43 minutes of downtime per month, which option would you choose?
What factors would change your decision: revenue loss, SLA penalties, customer expectations, rollback complexity, or the size of the engineering team?
https://www.tines.com/blog/zero-downtime-database-migrations-lessons-from-moving-a-live-production/

Hands-on vendor-neutral instrumentation for GenAI spans, tool calls, token metrics, and trace exploration. Worth reading if you want AI-agent debugging to fit existing OTel/Grafana/Loki-style observability rather than a separate black box.

https://opentelemetry.io/blog/2026/genai-observability/