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Infrastructure Guardrails: Why Your IaC Stack Needs Them | Harness Blog

Have you ever asked yourself, what is the fastest way to turn a harmless Infrastructure as Code change into a production incident and an awkward postmortem? We did, and found that usually, it's from letting it through without any guardrails. Infrastructure guardrails in Infrastructure as Code (IaC) were once a nice-to-have. Today, they’re essential. Without clear boundaries and safety mechanisms, even well-designed IaC workflows can turn small mistakes into fast-moving, high-impact problems.

Chaos Engineering Training: Zonal, Regional Failures and SSL/TLS Certificates Expiration

Learn how to test your system's resilience against critical infrastructure failures. This tutorial demonstrates how to simulate zonal and regional outages to validate your high availability setup, plus how to test SSL/TLS certificate expiration scenarios. Essential for ensuring your applications can handle real-world failure conditions and maintain uptime during certificate-related issues.

Chaos Engineering Training: Chaos Hub, Experiment Templates, Import as Local Copy and Reference

Learn how to leverage Chaos Hub in Harness Chaos Engineering to accelerate your resilience testing. This tutorial covers browsing the Chaos Hub for pre-built experiments, understanding experiment templates, and two key workflows: importing experiments as local copies for customization or referencing them directly from the hub. Perfect for teams looking to quickly implement chaos experiments without building from scratch.

Simplify Feature Flag Management with Harness FME and OpenFeature

Harness FME continues its investment in OpenFeature, building on our early support and adoption of the CNCF standard since 2022. Evaluate flags consistently across languages and environments, and integrate them seamlessly into your applications without modifying your code. Feature flags are table stakes for modern software development. They allow teams to ship features safely, test new functionality, and iterate quickly, all without re-deploying their applications.

Harness Dynamic Pipelines: Complete Adaptability, Rock Solid Governance

Harness Dynamic Pipelines offers an option to create pipelines, or pipeline stages, at runtime For a long time, CI/CD has been “configuration as code.” You define a pipeline, commit the YAML, sync it to your CI/CD platform, and run it. That pattern works really well for workflows that are mostly stable. But what happens when the workflow can’t be stable? In all of those cases, forcing teams to pre-save a pipeline definition, either in the UI or in a repo, turns into a bottleneck.

Building the Next Phase of Harness's AI Engineering Organization in India

Over the past year, Harness’s India organization has entered a new phase of growth – one defined not just by scale, but by increasing technical depth and impact. What began as steady expansion has turned into real momentum across engineering, product, and operations. Today, 480 people work in India, contributing across every major product area. In 2025 alone, the team in India grew by more than 75%, and now each core Harness product offering has a strong engineering presence in the region.

Harness AI For Everything After Coding

AI didn’t just change how we write code. It changed everything that comes after. Application teams are shipping more code than ever with AI — but 70% of the work still happens after coding: testing, security, deployment, optimization, and keeping everything moving. As coding gets faster, delivery becomes the bottleneck. That’s where Harness comes in.

CTO Predictions for 2026: How AI Will Change Software Development | ShipTalk S4E7 Special Episode

In this special ShipTalk episode, host Dewan Ahmed (Principal Developer Advocate, Harness) sits down with @Harnessio Field CTO Nick Durkin for spicy—but practical—2026 predictions across AI, software delivery, DevSecOps, MLOps, and developer experience. Will we see the first “AI-caused meltdown”? Are AI “confidence scores” even trustworthy? Is 2026 the year of AI cleanup crews and recovery engineering? Nick’s take: the answer isn’t more gates—it’s guardrails, policy in the pipeline, and teams operating with the same “rulebook.”