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Load Testing: An Essential Guide for 2026 | Harness Blog

Mar 27, 2026 By Pritesh Kiri In Harness
This comprehensive guide covers the fundamentals of load testing, key differences from stress and performance testing, step-by-step execution methods, popular tools, and best practices to help teams build resilient systems with confidence. In today's always-on digital economy, a single slow page or unexpected crash during peak traffic can cost businesses thousands or even millions of dollars in lost revenue, damaged reputation, and frustrated customers.
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What is Disaster Recovery Testing? Explained in 60 seconds | Resilience Testing | Harness

Mar 27, 2026 By Harness In Harness
What happens when things suddenly break in your system? In this short video, we explain disaster recovery testing in simple terms. Learn why it matters, how it helps you stay prepared, and how you can make sure your system gets back up quickly when something goes wrong. Watch to understand the basics in under a minute.
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AI Deployment in Production: Orchestrate LLMs, RAG, Agents | Harness Blog

Mar 26, 2026 By Chinmay Gaikwad In Harness
For the past few years, the narrative around Artificial Intelligence has been dominated by what I like to call the "magic box" illusion. We assumed that deploying AI simply meant passing a user’s question through an API key to a Large Language Model (LLM) and waiting for a brilliant answer.
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LiteLLM Compromise: Securing AI Pipelines from PyPI Supply Chain Attacks | Harness Blog

Mar 26, 2026 By Pranay Shah In Harness
On March 24, 2026, the AI open-source ecosystem was impacted by a critical supply chain attack involving the widely used Python package LiteLLM. Attackers compromised the LiteLLM PyPI distribution pipeline and published malicious versions (notably in the 1.82.7-1.82.8 range), embedding a multi-stage payload designed to steal credentials and execute remote code.
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Women's Day Panel: Navigating the Future of Engineering in the Age of AI

Mar 26, 2026 By Harness In Harness
How is AI reshaping engineering—and what does it mean for the future of work? At our first GTA Boston Hub event of the year, we brought together engineering leaders from Boston Consulting Group and Athenahealth to dive into one of the most pressing topics today: the rise of generative AI. In this panel, we explore: Key takeaway: This isn’t “human vs AI”—it’s human augmented by AI. The real advantage lies in how we adapt, collaborate, and lead in this new era.
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Build Numbers That Actually Make Sense: Branch-Scoped Sequence IDs in Harness CI | Harness Blog

Mar 26, 2026 By Abhay Ganvir In Harness
You're tagging Docker images with build numbers. -Build is your latest production release on main. A developer pushes a hotfix to release-v2.1, that run becomes build. -Another merges to develop, build. A week later someone asks: "What build number are we on for production?" You check the registry. -You see,,, on main. The numbers in between? Scattered across feature branches that may never ship. Your build numbers have stopped telling a useful story.
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How Harness AI Helps Scale Platform-Wide Support | Harness Blog

Mar 25, 2026 By Ankita Rosensweig In Harness
--- Key Takeaway: Harness AI helped deflect 95% of the platform support tickets for a major financial institution --- These days, success is often measured by what doesn’t happen: When things go right, the software delivery platform is invisible. But what happens when an organization’s delivery velocity increases multifold? Can the platform still stay out of the way?
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How to Plan a Successful CI/CD Migration Without Disrupting Developers | Harness Blog

Mar 25, 2026 By Chinmay Gaikwad In Harness
Modern engineering teams run on CI/CD. It’s where pull requests get validated, artifacts get produced, and releases get promoted to production. That also makes CI/CD migration very risky because you're not just moving a "tool"; you're moving the workflow that developers use dozens or hundreds of times a day. The good news: disruption is optional.
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CI/CD best practices | Harness Blog

Mar 24, 2026 By Chinmay Gaikwad In Harness
Modern software teams are under constant pressure to ship faster without breaking production. That’s why CI/CD best practices have become essential for high-performing DevOps organizations. Continuous integration and continuous delivery (CI/CD) help automate builds, testing, and deployments — but simply installing a pipeline tool isn’t enough. Without the right practices, pipelines become slow, flaky, and difficult to govern.
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