Operations | Monitoring | ITSM | DevOps | Cloud

Validating chaos experiments with GCP Cloud Monitoring probes

GCP Cloud Monitoring probe let you transform your existing GCP metrics into automated pass/fail validation for chaos experiments, eliminating subjective observation in favor of objective measurement. With flexible authentication options (workload identity or service account keys) and PromQL query support, you can validate infrastructure performance against defined thresholds during controlled failure scenarios.

Streamline feature management with Harness MCP and Claude Code

Harness now supports the Model Context Protocol (MCP) for Feature Management and Experimentation (FME), enabling developers to interact with feature flags directly from AI-powered IDEs like Claude Code and Windsurf. The FME MCP tools make it easier to explore, understand, and manage feature flags through natural language, streamlining delivery and release workflows without leaving your development environment.

Transform your DevSecOps with Harness AI and Google Cloud

Teams have always been under pressure to deliver software faster. But here's what we've learned from working with thousands of engineering teams: writing the code has never been the real bottleneck. It's everything that happens after - the testing, security scans, deployments, and optimizations that determine whether your innovations actually reach customers quickly and reliably. Even in the era of AI, the speed boost is uneven, creating the AI Velocity Paradox.

Monitoring Chaos Experiments with New Relic Probe in Harness

New Relic probes in Harness Chaos Engineering let you automatically validate system performance against defined SLOs during chaos experiments, transforming subjective testing into objective, metrics-driven resilience validation. By querying New Relic metrics in real-time and comparing results against your success criteria, you can programmatically verify that your systems maintain acceptable performance levels even under failure conditions.

Automate CockroachDB Schema Changes with Harness Database DevOps

Harness Database DevOps now supports CockroachDB, bringing CI/CD automation to distributed SQL databases. Teams can manage schema changes through Git-driven workflows for consistency, traceability, and rollback safety. This integration simplifies multi-environment deployments, reduces human error, and accelerates database delivery.

AI-Native Software Delivery: Proven Practices to Produce High-Quality Software Faster

AI for Development Isn't New. AI for Delivery Is! AI coding assistants have transformed how teams create software. But innovation only delivers business value when code moves quickly and safely from commit to production and into customers' hands. In AI-Native Software Delivery, Harness Field CTO Nick Durkin and DevOps veterans Eric Minick and Chinmay Gaikwad present a practical guide to applying AI across the entire software delivery lifecycle.

The State of Software Engineering Excellence

Organizations everywhere are racing to modernize DevOps and elevate the developer experience, but how close are they to actually delivering?We surveyed over 650 engineering leaders to find out. The result is The State of Software Engineering Excellence 2025, a report that uncovers the hidden challenges, gaps, and opportunities shaping today's software teams.

Protecting Production from a VP

The rise of AI coding assistants means new "developers" in many organizations. Your safety nets (and on ramps) need to be built with citizen developers in mind. Innovation is moving faster than ever. That’s great. With AI code generation accelerating professional developers and the rise of "citizen developers" thanks to tools like vibe-coding, we’re seeing more code written today than ever before.

IaC is Great, But Have You Met IaCM?

This blog highlights the critical role of Infrastructure as Code Management (IaCM) in enhancing IaC practices, ensuring security, compliance, and efficiency in managing complex infrastructure at scale. ‍ Managing infrastructure efficiently and reliably is more critical than ever. Infrastructure as Code (IaC) has emerged as a key practice, enabling teams to define, deploy, and manage infrastructure using code.

AI at Scale: Developer Productivity & Engineering Excellence w/ Adeeb Valiulla | ShipTalk S4E4

How do you measure engineering excellence in the age of AI? In this ShipTalk episode, Dewan Ahmed talks with Adeeb Valiulla, leader of Developer Productivity & Efficiency at Harness, about redefining productivity beyond dashboards and vanity metrics.

Supercharge Developer Productivity with the New Harness Code Experience

Smarter PR Reviews: Inline comments, keyboard shortcuts, and faster diffs reduce context switching. Optimized for Scale: Instant file tree and change listing performance even in large monorepos. Seamless Navigation: Effortlessly move between branches, commits, and repos without losing context. Unified Design System: A consistent, intuitive UI across the entire Harness platform. At Harness, we know developer velocity depends on everyday workflow.

Industry Reports Agree: DevOps is the Key to Unlocking AI's Potential

Recent industry research shows that AI is accelerating code creation, but having mixed results downstream. They also show that better platforms and pipelines yield better outcomes for teams adopting AI for coding. Every engineering leader I talk to is asking the same questions about AI coding assistants: How much faster can we ship? How much more productive can my developers be? On the surface, the answers look pretty good.

A 5-step enterprise guide to IaCM

As enterprises scale, Infrastructure as Code (IaC) alone isn’t enough to manage the growing complexity of modern infrastructure. Infrastructure as Code Management (IaCM) elevates IaC into a strategic, governed, and automated framework, providing centralized control, compliance, and collaboration at scale. Platforms like Harness IaCM make this transformation practical, turning infrastructure chaos into consistent, secure, and efficient operations.

Bridging the Gap Between Finance & Engineering: The Harness Playbook

Most cloud waste isn’t technical, it’s organizational. Harness brings finance and engineering together with FinOps practices that connect spend to outcomes, not blame. The result: 30%+ savings and alignment that scales. In too many cloud organizations, finance and engineering operate like two planets in orbit. Finance speaks in forecasts, budgets, billing codes. Engineering speaks in uptime, latency, error rates. The result?

The Silent Leak: How One Line of Go Drained Memory Across Thousands of Goroutines

This technical deep-dive reveals how Harness engineers discovered and fixed a critical Go memory leak where reassigning context variables in worker loops created invisible chains that prevented garbage collection across thousands of goroutines, ultimately consuming gigabytes of memory in their CI/CD delegate service.

How to Adopt Chaos Engineering

Modern systems are more complex-and more fragile-than ever before. Whether it's scaling challenges, dependency failures, or unpredictable outages, reliability is no longer optional. It's a competitive edge. This eBook provides a practical blueprint for successfully adopting Chaos Engineering, with strategies proven to work across engineering, SRE, and QA teams. Learn how to overcome internal blockers, align ownership, and embed resilience testing directly into your software delivery lifecycle.