At Google Cloud Next '26, Harness, the AI Software Delivery Platform™ company, announced a strategic integration between the Harness Software Delivery Knowledge Graph and Google Cloud Developer Connect. This initiative creates a unified, relationship-aware model of the entire software delivery lifecycle, bridging the gap between development and production.
The announcement coincides with Harness being named the 2026 Google Cloud Technology Partner of the Year in the Application Development - DevOps category.
Unified Context: Integrates Google Cloud Developer Connect data into Harness's Knowledge Graph to eliminate data fragmentation.
AI Velocity Paradox: Addresses the risk of shipping unverified or insecure code by providing AI agents with complete situational awareness.
Gemini Integration: Harness AI now runs on the Gemini Enterprise Agent Platform, and the Harness MCP Server is accessible directly within the Gemini Enterprise app.
Operational Impact: Joint customers can trace issues back to specific source files or infrastructure and link artifacts to responsible teams automatically.
Enterprise Security: Data sharing is governed by enterprise-grade access controls and guardrails.
Performance Benchmarks: Harness users report up to 70% faster deployments and a 50% reduction in change failure rates.
The primary challenge in modern DevOps is that data—pipelines, artifacts, and dependencies—is often scattered across dozens of tools. Harness argues that AI is only as effective as the context it can access. By creating a continuously updated model that spans both Harness and Google Cloud, AI agents can finally operate with a reliable, "relationship-aware" picture of the environment.
"AI is only as powerful as the context behind it. Without it, teams fall into the AI Velocity Paradox: moving code faster than ever, but risking shipping software that is unverified, insecure, and unreliable. When context is complete, speed and confidence go hand in hand." — Jyoti Bansal, Co-founder and CEO of Harness
For engineering teams, this partnership means that Harness AI can diagnose and remediate issues faster by correlating deployment logs with runtime data from Google Cloud. Instead of manually piecing together context from multiple systems, engineers receive recommendations grounded in the true state of their production environment.
This integration represents an expansion from the infrastructure layer into the application layer. By making Harness capabilities accessible within the Gemini Enterprise environment, Google and Harness are enabling a "single pane of glass" experience for developers.
"Through our partnership with Harness, we will provide customers with innovative capabilities that can improve operations, enhance customer experiences, and drive innovation," said Ritika Suri, Managing Director, AI and Data Partnerships at Google Cloud.
Harness is the AI Software Delivery Platform™ company, helping engineering teams build, test, and deliver software faster. Based in San Francisco and backed by firms like Menlo Ventures and IVP, Harness is used by brands like United Airlines and Morningstar to automate the "toil" of the software lifecycle.
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