DevOps Inside!

How to Debug Kubernetes in Production When kubectl Logs Fail

When kubectl logs goes silent, standard troubleshooting stops. Discover the step-by-step playbook senior DevOps and SRE teams use to debug Kubernetes in production, covering kubectl describe, ephemeral containers, crictl, journalctl, strace, and eBPF kernel tracing.

The Life of a Kubernetes Pod: Millisecond by Millisecond

Trace the millisecond journey of a Kubernetes Pod from kubectl apply to live traffic. Learn how the API Server, etcd, Scheduler, Kubelet, CNI, and readiness probes coordinate behind the scenes in this step-by-step architecture deep dive.

Under the Hood #6: Linux Memory Pressure Explained

Understand Linux memory pressure, page cache, swap, PSI metrics, and the OOM Killer. Learn how Linux manages RAM and why Kubernetes containers get OOMKilled.

Under the Hood #5 How Linux Networking Really Works Before Docker and Kubernetes Take Over

Understand how Linux networking works before Docker and Kubernetes take over. Follow the journey of a packet through NIC, routing, Netfilter, conntrack, sockets, and container networking to troubleshoot real-world Kubernetes and cloud-native network issues.

Under the Hood #4 Understanding cgroups v2 Before Docker and Kubernetes Limit Your Containers

Learn how Linux cgroups v2 power Docker and Kubernetes by enforcing CPU, memory, I/O, and process limits. Discover how containers are isolated, why OOMKilled happens, and why cgroups are the Linux feature behind every modern container.

Under the Hood #3 How systemd Actually Starts Services Before Docker and Kubernetes

Discover how systemd actually starts Linux services before Docker and Kubernetes. Learn unit files, dependencies, restart policies, service lifecycle, and real-world troubleshooting techniques that every DevOps and Platform Engineer should understand.

Your AI Coding Agent Might Be a Backdoor (Even Inside a Sandbox)

Researchers uncovered critical sandbox escape risks in Cursor, OpenAI Codex, and Gemini CLI. Learn how untrusted AI agent outputs bypass container isolation and how DevSecOps teams can enforce Zero Trust to prevent host RCE.

OpenAI’s Codex Micro is a future picture where vibe coding is the future

OpenAI's move into AI hardware signals a major shift in the technology industry. As Apple challenges its hardware ambitions through a legal battle, the bigger story is the beginning of a new AI computing race.

Under the Hood #2 What Happens During Linux Boot Before Docker and Kubernetes Start?

Discover what happens during the Linux boot process before Docker and Kubernetes start. Learn how BIOS/UEFI, GRUB, the Linux kernel, initramfs, and systemd work together, and why understanding each stage helps troubleshoot boot failures and Kubernetes node issues.

Under the Hood #1 Why Linux Load Average Lies

Linux Load Average isn't CPU usage, yet it's one of the most misunderstood Linux metrics. Learn what Load Average actually measures, why it stays high when CPU is idle, and how experienced Linux and DevOps engineers diagnose the real bottlenecks behind production slowdowns.

Why Golden Paths Fail in Platform Engineering and How To Fix Them

Golden Paths promise faster delivery and consistent infrastructure, but many Platform Engineering teams struggle with low adoption. Learn why Golden Paths fail, the most common mistakes, and practical strategies to build developer-friendly platform templates that teams actually use.

Building Your Own Internal DevOps AI Assistant Using MCP and LLMs

Build an internal DevOps AI assistant using MCP, LLMs, Kubernetes, GitHub, Prometheus, Grafana, and vector databases. Learn how platform engineering teams accelerate incident response with AI-powered context retrieval and infrastructure-aware automation.

AI Context Engineering for DevOps Why Prompts Alone Aren't Enough

Troubleshoot slow Kubernetes DNS beyond CoreDNS. Learn how ndots, NodeLocal DNSCache, conntrack, and upstream DNS impact performance.

The Hidden Linux Limits That Crash Kubernetes Before Kubernetes Does

Learn how hidden Linux kernel limits like ulimit, PID limits, vm.max_map_count, inotify, conntrack, and ephemeral ports can silently break Kubernetes workloads and how to troubleshoot them.

Why Your Kubernetes DNS Is Slow Even When CoreDNS Is Healthy?

Troubleshoot slow Kubernetes DNS beyond CoreDNS. Learn how ndots, NodeLocal DNSCache, conntrack, and upstream DNS impact performance.

Kubernetes Finalizers Explained for Resources Stuck Terminating

Learn how Kubernetes finalizers work, why resources get stuck in the Terminating state, and how to safely troubleshoot namespaces, PVCs, CRDs, and operators without leaving orphaned infrastructure behind.

Modern Test Data Management for DevOps

As AI agents become part of DevOps, platform engineering, and cloud operations, organizations need an AI operating model to govern automation, observability, security, and infrastructure decision-making at scale.

Why Every Platform Team Needs an AI Operating Model

As AI agents become part of DevOps, platform engineering, and cloud operations, organizations need an AI operating model to govern automation, observability, security, and infrastructure decision-making at scale.

Why Platform Engineers Are Adopting MCP?

Discover why platform engineers are adopting Model Context Protocol (MCP) to connect AI assistants with Kubernetes, observability platforms, CI/CD pipelines, and enterprise infrastructure while reducing integration complexity.

How Cluster API Simplifies Multi Cluster Kubernetes Operations

Learn how Cluster API (CAPI) enables declarative multi cluster Kubernetes management, fleet automation, self healing infrastructure, and GitOps driven platform operations at scale.

WebAssembly on Kubernetes for Serverless Applications

WebAssembly on Kubernetes reduces container overhead, cuts cold starts, and improves resource efficiency. Discover how Wasm, SpinKube, and runwasi enable faster serverless workloads and edge AI applications.

How to Build Pull Request Cost Gates with Infracost and OpenCost

Learn how to implement Shift Left FinOps using Infracost and OpenCost to catch cloud cost overruns before deployment. Build pull request cost gates, optimize Kubernetes spending, and improve cloud cost visibility across DevOps workflows.

Why Platform Engineers Are Replacing Helm With Score

Learn how the Score Specification is transforming Kubernetes platform engineering by replacing complex Helm-based workflows with developer-friendly, workload-centric deployments that improve productivity and reduce operational overhead.

How Platform Engineers Use Claude AI for DevOps

Discover how platform engineers and SREs are using Claude AI to troubleshoot Kubernetes, automate DevOps workflows, modernize infrastructure as code, and accelerate incident response.

Cloud Native DevOps Accelerates Modern Software Delivery

Discover how Cloud-Native DevOps accelerates software delivery through Kubernetes, GitOps, platform engineering, observability, and DevSecOps while improving scalability, reliability, and developer productivity.