Operations | Monitoring | ITSM | DevOps | Cloud

Dynamic Stage | Execute a Pipeline within a Stage !

The new Dynamic Stage allows you to import and execute an entire pipeline's YAML definition inside a single stage of your current pipeline. It is essentially running a pipeline within a stage. The pipeline YAML can either be generated and transformed at runtime in a previous stage, or be directly provided to the source input of the Dynamic Stage in encoded form. Dynamic Stages work seamlessly across Harness CI and CD modules.

Harness Commitment Orchestrator: A Modernized FinOps Experience

Harness has modernized Commitment Orchestrator to give FinOps teams a clearer, faster, and more intelligent way to manage cloud commitments. The redesigned experience unifies visibility across RIs, Savings Plans, on-demand, and Spot usage, with expanded metrics and streamlined workflows for smarter decisions. Built on a foundation for AI-powered insights, it helps teams optimize spend with greater confidence and less manual effort.

The AI Visibility Problem: When Speed Outruns Security

Harness surveyed 500 security practitioners and decision makers responsible for securing AI-native applications from the United States, UK, Germany, and France to share findings on global security practices. The State of AI-Native Application Security 2025 dives deep into AI visibility and the changing landscape of security vulnerabilities. If 2024 was the year AI started quietly showing up in our workflows, 2025 was the year it kicked the door down.

When Cloud Providers Have an Outage, Your Feature Flags Shouldn't

Cloud outage? Your flags should keep running. Harness Feature Management ensures seamless feature delivery with instant SDK fallback, local decisioning, and a globally distributed streaming architecture—no redeploys required. Over the past few weeks, the software industry has experienced multiple cloud outages that have caused widespread disruptions across hundreds of applications and services. When systems went down, the difference between chaos and continuity came down to architecture.

Harness AI October 2025 Updates: Smarter Pipelines, Instant Troubleshooting, and Memories

The AI Velocity Paradox is real. While teams are writing code faster than ever, they're hitting a wall downstream. Deployments are failing. Security vulnerabilities are slipping through. Manual toil is eating up whatever time developers saved with AI-assisted coding. The speed boost from one part of the software delivery lifecycle is being strangled by legacy processes in another. Harness is solving this the only way that works: by bringing intelligent AI deeper into the delivery process itself.

From rollouts to results: Unlocking the value of Feature Management and Experimentation

Unlock Faster, Safer Releases with Feature Management and Experimentation Learn how top engineering and product teams use Harness Feature Management & Experimentation (FME) to accelerate innovation, reduce release risks, and continuously deliver value. In this on-demand webinar, Harness experts Alex Bock and Iram Khan share how to go beyond feature flags to achieve smarter, data-driven releases. Discover how to.

You're Late to the OpenTofu Party. Here's Why That's a Problem.

OpenTofu has emerged as the true open successor to Terraform, restoring transparency and community ownership after Terraform’s shift to a restrictive BSL license. With features like OCI registries, encryption at rest, and a public RFC process, it’s already outpacing Terraform’s innovation.

The AI Knowledge Agent: Making Internal Developer Portals Smarter

AI is generating more code than ever, but delivery hasn’t kept pace. The Harness IDP Knowledge Agent helps teams close that gap by turning their internal developer portal into an intelligent platform for faster, safer software delivery. Joining a new engineering team can be exciting, but it can also be overwhelming. You spend the first few days figuring out what each service does, where documentation lives, and who owns what.

Running Chaos Engineering on GKE Autopilot Just Got Easier

Harness Chaos Engineering now runs natively on GKE Autopilot. A simple allowlist configuration enables you to test resilience on Google's managed Kubernetes without sacrificing security or requiring workarounds. Google's GKE Autopilot provides fully managed Kubernetes without the operational overhead of node management, security patches, or capacity planning. However, running chaos engineering experiments on Autopilot has been challenging due to its security restrictions. We've solved that problem.