Operations | Monitoring | ITSM | DevOps | Cloud

Harness earned a patent for it's unified pipeline editor which makes it easy to configure pipelines whether they are for CI, CD, IaC, database migrations, service onboarding or other DevSecOps activities. ‍ We're thrilled to share some exciting news: Harness has been granted U.S. Patent US20230393818B2 (originally published as US20230393818A1) for our configuration file editor with an intelligent code-based interface and a visual interface.

Traditional UI testing struggles to keep up with rapid design and workflow changes, often focusing on brittle selectors rather than user outcomes. Harness AI Test Automation introduces intent-driven, natural language assertions that understand what teams want to verify, not just how tests are written.

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.

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.

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.

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.

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.

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.

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.