Mannan Duggal - DevOps Inside!

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Mannan Duggal

Layer by Layer Into DevOps: The Roadmap Most Beginners Need (PART 4)

Layer by Layer Into DevOps: The Roadmap Most Beginners Need (PART 4)

This final part makes the earlier layers useful in the real world.

Layer by Layer Into DevOps: The Roadmap Most Beginners Need (PART 3)

Layer by Layer Into DevOps: The Roadmap Most Beginners Need (PART 3)

In this part, you’ll learn how modern production systems are actually built: cloud, automation, containers, Kubernetes, and observability; the "real world" toolchain.

Layer by Layer Into DevOps: The Roadmap Most Beginners Need (PART 2)

Layer by Layer Into DevOps: The Roadmap Most Beginners Need (PART 2)

In this part, you’ll build the foundation: Linux, networking, and infrastructure fundamentals, the stuff that quietly explains most "mysterious" production failures.

Layer by Layer Into DevOps: The Roadmap Most Beginners Need (PART 1)

Layer by Layer Into DevOps: The Roadmap Most Beginners Need (PART 1)

DevOps is not a tool collection. Tools are only the "how." DevOps is the “why.” It’s a way of working where building and running software stops being a relay race and becomes a shared mission.

AI Workloads Expose Hidden DevOps Crisis in Scalability and SRE

AI Workloads Expose Hidden DevOps Crisis in Scalability and SRE

Learn why AI workloads are creating a DevOps crisis in scalability and SRE. This practical guide covers GPU-aware autoscaling, mitigating inference latency with warm pools, and monitoring model health to reduce MTTR in production AI environments.

From Scripts to Agents: Why Agentic Workflows are the New Standard for DevOps in 2026.

From Scripts to Agents: Why Agentic Workflows are the New Standard for DevOps in 2026.

The era of "if-this-then-that" scripts is ending. Discover how AI DevOps Agents use contextual reasoning to handle complex cloud operations, reduce mean time to repair (MTTR), and let your team focus on design instead of toil.

Stop Debugging, Start Orchestrating: The Rise of Agentic DevOps and SRE

Stop Debugging, Start Orchestrating: The Rise of Agentic DevOps and SRE

Stop confusing "AI" with "Magic." In the high-stakes world of modern infrastructure, the real competitive advantage isn't just "automation"- it’s Agentic Orchestration.

100x Faster than a GPU: The Rise of Hardwired AI Infrastructure

100x Faster than a GPU: The Rise of Hardwired AI Infrastructure

In the world of DevOps, we have a love affair with Immutable Infrastructure. We hate drift. We hate "snowflake" servers. We want our containers and VMs to be exactly what we defined in code, with zero deviation. But there is one part of our stack that is still

The Silent Killers: 5 Kubernetes Secrets Hiding in Your Production Cluster

The Silent Killers: 5 Kubernetes Secrets Hiding in Your Production Cluster

In the DevOps world, we’re trained to chase "Red." We look for failing pods, 500 errors, and spiking latency. We’ve become experts at putting out fires. But after a decade of auditing hundreds of clusters, I’ve realized the most dangerous bugs aren't the

Behind Every Reliable AI Agent Is Boring Engineering (Here’s the Playbook)

Behind Every Reliable AI Agent Is Boring Engineering (Here’s the Playbook)

Why most AI agent prototypes look impressive, but almost none survive production ⚙️ Building an AI agent demo today is surprisingly easy. You connect a large language model, add a few prompts and tools, and within hours, you have something that looks intelligent. It summarizes logs, suggests fixes, and answers questions.

I Lost 6 Months Learning DevOps Wrong: Here’s the Path I Wish I Took

I Lost 6 Months Learning DevOps Wrong: Here’s the Path I Wish I Took

Learning new technology usually feels exciting. You explore, experiment, break things, and fix them. That’s how real skill is built. But when I started learning DevOps, I did none of that. I watched tutorials, jumped between topics, felt “productive,” and learned almost nothing. Six months had passed before I

The AI Tools Engineers Are Adopting Faster Than You Think🤫

The AI Tools Engineers Are Adopting Faster Than You Think🤫

A forward-looking list for people who care more about leverage than loud opinions A few nights ago, around 2 a.m., I watched an automation workflow correct itself. No alerts. No Slack panic. No “why is production on fire” moment just logs calmly undoing a bad decision before users ever

The Shutdown Dilemma: When the AI Decided It Didn't Want to Die

The Shutdown Dilemma: When the AI Decided It Didn't Want to Die

In the world of DevOps, we dream of "self-healing" systems. We build CI/CD pipelines that roll back on failure and Kubernetes clusters that spin up new nodes when one goes dark. We want our infrastructure to be resilient. But recently, a safety test involving a GPT-4-based agent

10 Most Common Kubernetes Errors and Their Fixes

10 Most Common Kubernetes Errors and Their Fixes

1. CrashLoopBackOff This error occurs when a pod continuously crashes and restarts, often due to application-level issues. How to Fix: * Check Logs: Investigate the container logs with: * Inspect Configuration: Review the pod’s configuration (e.g., incorrect environment variables, resource limits). * Check Health Probes: Ensure readiness and liveness probes are

Kubernetes Node Affinity: Teaching Your Pods Where to Live

Kubernetes Node Affinity: Teaching Your Pods Where to Live

Kubernetes scheduling often looks effortless in early learning. You deploy a workload, pods appear, and everything seems under control until real production traffic arrives and suddenly the scheduler’s “autopilot” decisions start causing surprises. In real clusters, nodes are far from identical. Some are lightweight, some are memory-rich, some include