Operations | Monitoring | ITSM | DevOps | Cloud

{unscripted} AI in Chaos Engineering

Harness AI enhances your chaos engineering capabilities by leveraging artificial intelligence to automate and optimize reliability testing and analysis. One of the challenges of scaling up the Chaos Engineering practice within the organization is skilling up the users to create or run chaos experiments and to come up with solutions to mitigate the risks that are identified during the chaos experiment execution. The Chaos Engineering module comes with an AI Agent called "AI Reliability Agent" that helps in these aspects.

AI-Powered Chaos Engineering with Harness MCP Server and Cursor

The Harness MCP Server integration with Cursor transforms chaos engineering from a complex, specialized discipline into an accessible, conversational workflow that any developer can leverage directly within their AI-powered IDE. By combining natural language prompts with comprehensive resilience testing tools, teams can discover, execute, and analyze chaos experiments without vendor-specific expertise, democratizing system reliability across DevOps, QA, and SRE functions.

Harness GitOps: Scaling Argo CD with Enterprise-Grade Control

Harness GitOps extends Argo CD by preserving its reconciliation loop while adding governance, audit, and RBAC through the GitOps Agent’s secure connection to Harness SaaS. Teams can choose Harness-managed or bring-your-own Argo CD and scale to multi-cluster fleets with unified dashboards, promotion pipelines, and true rollback, while Git stays the single source of truth.

Streamline Software Delivery Right From Your IDE with Amazon Kiro and Harness

The integration of Amazon Kiro and Harness’s MCP server enables developers to manage, troubleshoot, and optimize CI/CD pipelines directly from their IDE using natural language, dramatically reducing manual effort and accelerating software delivery from code generation to production.

Harness Named a Leader in the 2025 Gartner Magic Quadrant for DevOps Platforms For the Second Consecutive Year

Harness has been recognized as a Leader in the 2025 Gartner Magic Quadrant for DevOps Platforms for the second consecutive year. To us, this recognition acknowledges our solutions and capabilities that we offer. . Harness continues to support the full software delivery lifecycle and remains focused on expanding capabilities and improving adoption across industries.

{Unscripted} AI Verification and Rollback

Our first AI/ML capability, Continuous Verification, made Harness the first Continuous Delivery tool to understand observability telemetry and trigger rollbacks when deployments caused trouble. We knew we could do more to eliminate the friction involved in its setup. Deploying with confidence shouldn't require a coordination meeting between DevOps, SREs, and developers just to configure the right health checks. That’s why we’re introducing the next generation: AI Verification and Rollback. We’ve moved beyond just AI-powered analysis to AI-powered setup.

Four Shades of Progressive Delivery

Progressive Delivery strategies like Blue/Green deployments, canary releases, feature flag rollouts, and feature delivery platforms help teams release safely, limit risk, and accelerate learning. Each approach builds toward sustainable, high-velocity software delivery by minimizing downtime and maximizing feedback. Combining these methods enables faster innovation with greater confidence and control. Last week we walked The Path To Progressive Delivery. This week, we go deeper.