Elastic Jenkins: Scaling Workers With Docker Swarm and the Jenkins Swarm Plugin
Manually registering Jenkins build agents becomes increasingly inefficient as CI/CD infrastructure grows. Combining Docker Swarm with the Jenkins Swarm Plugin allows workers to register automatically and makes scaling build capacity as simple as changing replica counts. But automation introduces trade-offs involving shared credentials, workload isolation and scaling down active builds. A practical implementation demonstrates how WebSocket connections, Docker secrets and CI smoke tests can improve the setup while exposing important security limitations.
Autonomy Without Isolation: How Engineering Leaders Make Collaboration Work
Engineering autonomy is essential to high-performing teams, but independence can quietly become isolation. When teams make decisions without surfacing dependencies or seeking expertise, organizations risk duplicated effort, missed requirements and costly rework. Strong engineering leadership means creating the conditions for collaboration through clear boundaries, better incentives, psychological safety and easy access to knowledge. The goal isn’t less autonomy — it’s ownership that doesn’t come at the expense of teamwork.
The Hardest Part of a CI/CD Migration Isn’t the Technology
Migrating from EC2 self-hosted GitHub Actions runners to GitHub-hosted runners requires infrastructure discovery, dependency mapping and team coordination.
How AI SRE Agents Are Changing Observability and Incident Response
Modern systems fail in ways that dashboards were never designed to explain. A single checkout failure can trace back to a Kubernetes node under memory pressure, a slow third-party API, or a log line nobody was watching. Teams now run hundreds of services, thousands of containers and millions of telemetry events per minute. Humans can […]
The Rise of AI Site Reliability Engineers – Can Autonomous Agents Handle Production Incidents
AI Site Reliability Engineers are moving from monitoring and diagnostics into autonomous production recovery. They promise faster incident response, fewer outages and less operational toil. But as AI agents begin making critical infrastructure decisions, SRE teams face a new challenge: Ensuring automation doesn’t become a bigger threat than the failures it’s designed to fix.
I Don’t Just Manage Engineers Anymore. I Manage Agents Like a Team
AI coding agents are no longer just productivity tools. They’re becoming active members of engineering teams, opening pull requests, triaging tickets and handling operational tasks. But managing them requires more than better prompting. Engineering leaders must establish clear assignments, standing orders, automated verification and feedback loops that turn autonomous agents into reliable contributors without sacrificing human judgment.
The Agent Did Exactly What We Let It Do
From Replit’s database deletion to the Nx supply chain attack, AI agent failures expose a dangerous truth: The biggest risk isn’t intelligence, but unchecked authority.
Why We Do What We Do
“Simplicity means that the smallest solution that solves the entire problem is the best solution. It keeps the systems easy to understand and reduces complex component interactions that can cause debugging nightmares.” — The Practice of System and Network Administration In every infrastructure codebase I maintain, there’s a directory called docs/adr. It’s where I keep […]
The Hidden Productivity Trap in an Engineer’s Workday
Meetings, constant notifications and fragmented schedules are undermining software engineering productivity, even as AI coding assistants promise faster development. Research highlights the cost of interruptions, while smarter meeting policies, protected focus time and better management practices can help DevOps teams deliver higher-quality software.
The Dawn of the AIDLC: Insights From the All-Day AI Virtual Hackathon
All Day AI’s virtual hackathon showcases autonomous AI agents, AIDLC innovation and how hackathons can accelerate DevOps transformation.
Fast Code, Slow Feedback: Fixing CI for the Age of AI Agents
AI coding agents are driving up CI workloads and costs. Discover five ways to accelerate monorepo pipelines while protecting software quality.
The New Frontier: Managing Human+AI Agent Software Development Teams
As AI writes more code, software quality faces new risks. SmartBear research highlights why human oversight, testing and governance remain essential.
AI vs. Engineers: What the Microsoft Buyouts Really Signal
Microsoft’s buyout offers highlight how AI is reshaping engineering careers, rewarding technical judgment, verification and AI-driven development.
Your CI Retries are Hiding Real Bugs
Test retries keep CI pipelines green, but they can also conceal genuine software defects. An experiment involving 41,200 test runs shows how a persistent bug escaped detection in 99.2% of builds and why DevOps teams need to rethink flaky-test management, regression detection and quarantine policies.
Your Coding Agent Needs Production Discipline
I see engineers handing work to coding agents every day. Consider a straightforward assignment: Add an endpoint to an internal service, run the tests, and open a pull request. The agent may work for an hour before the engineer looks at it again, freeing that engineer to focus on another problem. Let’s follow that assignment […]
The Return of a Bad Engineering Metric: When AI Token Usage Becomes Performance Theater
Measuring developer productivity by AI token consumption risks higher costs, bloated code and misleading performance metrics.
Why More AI-Generated Tests Don’t Mean Better Testing
Every demo from an AI testing tool vendor ends with a promise to cut test design effort from hours to minutes. Surprisingly, one important question is missing from these conversations: How many of those test cases can QA teams truly trust when testing a business-critical workflow such as payments? The AI Testing Efficiency Trap Many […]
From Reactive to Predictive: How AI and Automation Are Advancing Real-Time DevOps Decision-Making
AIOps helps DevOps teams cut alert fatigue, predict failures and improve incident response through AI-powered insights and smarter automation.
Design and Specifications Are Not What Is in Your Infrastructure
Cyber Asset Intelligence helps CTOs uncover hidden dependencies, reduce technical debt and make smarter architecture decisions with runtime visibility.
Rethinking Application Updates: Solutions for Faster, More Efficient CVE Patching
Slow CVE patching leaves applications exposed. Discover how buildpacks, shared components and AI agents can accelerate vulnerability remediation.
CI/CD Cache Poisoning Is No Longer a Theoretical Attack
CI/CD cache poisoning can turn untrusted code into compromised releases. Learn how to secure caches, isolate workflows and protect software supply chains.
The Rise of Playwright: Why Browser Automation Had to Change
Playwright is transforming browser automation for modern CI/CD, but AI-generated tests raise new questions about reliability and trust.
I Spent 5 Years Preparing for UPSC. Then I Became a DevOps Engineer
After five years preparing for UPSC exams, a career switch to DevOps led from ₹13,000 a month to 16 LPA — and inspired a creation.