Blog

DevOps & Kubernetes

Kubernetes Cheat Sheet: kubectl Commands Explained with Real-World Examples

Kubernetes commands are easy to copy from the internet. Knowing which command to use during an incident, deployment, or debugging session is what actually matters in real environments. This post explains the most commonly used kubectl commands, grouped by use case, with real-world DevOps examples — not theory. Reference: kubectl quick reference (official docs) Cluster […]

Kubernetes Cheat Sheet: kubectl Commands Explained with Real-World Examples Read Post »

DevOps & Kubernetes

Docker Commands Explained with Real-World Examples, Tricks, and Tips

Docker commands look simple on the surface.But in real environments, how and when you use them matters far more than memorizing syntax. This post walks through the most commonly used Docker commands, with practical examples, real-world usage patterns, and tips that actually help in production. Docker Container Management Commands These are the commands you’ll use

Docker Commands Explained with Real-World Examples, Tricks, and Tips Read Post »

Linux & Unix Tools

How grep, awk, and jq Work Together in Real DevOps Incidents

Introduction In real production incidents, engineers don’t reach for tools one by one. They don’t think: “Now I’ll use grep. Now awk. Now jq.” They think: “What’s broken, where is the signal, and how fast can I get clarity?” And almost every time, the fastest path to clarity is a combination of simple tools, chained

How grep, awk, and jq Work Together in Real DevOps Incidents Read Post »

DevOps & Kubernetes

A Hard Truth About Blue-Green Deployments

Application Rollbacks Are Easy. Database Rollbacks Are Not. Introduction Blue-green deployments are often presented as the safest way to release changes into production. Two environments.Instant traffic switch.Easy rollback. And yet, many production incidents during blue-green deployments don’t come from Kubernetes, CI/CD pipelines, or load balancers. They come from the database. Application rollbacks are easy.Database rollbacks

A Hard Truth About Blue-Green Deployments Read Post »

Linux & Unix Tools

jq in Real-World DevOps: Making JSON Work for You

Introduction Modern DevOps runs on JSON. APIs return it.Cloud CLIs output it.Kubernetes emits it.CI/CD systems depend on it. And yet, many engineers still struggle to extract meaning from JSON quickly. This is where jq becomes indispensable. jq is not a JSON parser.It’s a decision-making tool for structured data. This post explains how jq is used

jq in Real-World DevOps: Making JSON Work for You Read Post »

Linux & Unix Tools

sed in Real-World DevOps: Making Safe, Repeatable Changes at Scale

Introduction sed is one of those tools many engineers know exists but rarely feel confident using. It’s often described as: And yet, in real DevOps work, sed quietly solves problems that would otherwise require scripts, editors, or manual intervention. sed is not about clever one-liners.It’s about safe, repeatable text transformation at scale. This post explains

sed in Real-World DevOps: Making Safe, Repeatable Changes at Scale Read Post »

DevOps & Kubernetes

When Kubernetes Abstractions Hide Operational Risk

Introduction Kubernetes is excellent at hiding complexity. That’s also its biggest risk. Abstractions make systems easier to use, faster to deploy, and simpler to reason about — until something goes wrong. When that happens, teams often realize they no longer understand the system they’re running. Kubernetes doesn’t remove operational risk.It often hides it. This post

When Kubernetes Abstractions Hide Operational Risk Read Post »

DevOps & Kubernetes

Autoscaling Doesn’t Fix Bad Capacity Planning

Introduction Autoscaling is often treated as a safety net. If traffic increases, scale out.If load drops, scale in.Problem solved — right? In reality, autoscaling is one of the most misunderstood concepts in modern infrastructure. Autoscaling reacts to problems. It does not prevent them. This post explains why autoscaling fails when used as a substitute for

Autoscaling Doesn’t Fix Bad Capacity Planning Read Post »

Scroll to Top