Harness and Google Cloud Unite to Enhance AI Software Delivery
Harness, the innovator behind the AI Software Delivery Platform, has unveiled an initiative that consolidates its Software Delivery Knowledge Graph with Google Cloud’s Developer Connect.
This collaborative endeavor equips mutual customers with a cohesive, AI-optimized perspective on their entire software delivery lifecycle, granting them the capability to make informed and decisive actions.
This landmark announcement was made during the Google Cloud Next conference, where Harness was also honored with the prestigious 2026 Google Cloud Technology Partner of the Year Award in the Application Development – DevOps category.
The Vital Component of AI Software Delivery
Contemporary software delivery ecosystems display intrinsic complexity. Interwoven pipelines, services, build-and-deploy infrastructures, artifacts, and dependencies create a labyrinthine network, with data delineating their interrelations dispersed across a multitude of tools.
As enterprises increasingly embrace AI-driven engineering, such fragmentation emerges as a formidable obstacle. The efficacy of AI is inextricably linked to the contextual data it can access; currently, many AI agents function with an incomplete tableau.
Harness is tackling this conundrum directly. By fusing insights from Google Cloud Developer Connect into the Harness Software Delivery Knowledge Graph, joint customers obtain a persistently updated, relationship-aware representation of their software delivery landscape, bridging the visibility chasm between development and production.
This allows AI agents to function with comprehensive and dependable context. For engineering teams, this translates into decision-making anchored in situational cognizance rather than generic training data, thereby enhancing the execution of intricate workflows with heightened precision.
Where the Partnership Is Realized
For the clients of both Harness and Google Cloud, this integration signifies that Harness AI can enact more astute, expedited decisions on their behalf.
By amalgamating deployment event logs, runtime data, and application dependency insights from Google Cloud into the Harness Software Delivery Knowledge Graph, teams are endowed with a continuously refreshed, all-encompassing view of their software environment.
When complications arise, engineers can swiftly diagnose and rectify issues, trace them back to specific source files or infrastructure, and associate artifacts with their responsible teams, all without the need to aggregate context from various systems.
The outcome is an AI that diligently serves customers, operating with richer context. This allows AI agents to function more effectively, providing responses and suggestions that resonate with the actual state of the environment. All necessary information is centralized, empowering AI to act with conviction.
Security remains a foundational principle in the design of this integration. Data exchanged between Harness and Google Cloud is managed by robust enterprise-grade access controls, ensuring that pertinent information reaches the appropriate stakeholders within the requisite operational frameworks.
“AI’s potency is contingent upon the context it harnesses. Absence of this leads teams into the AI Velocity Paradox: accelerating code deployments while risking the release of unverified, insecure, and unreliable software,” remarked Jyoti Bansal, co-founder and CEO of Harness.
“Our enhanced collaboration with Google Cloud directly addresses this, furnishing joint customers with a unified perspective of their software delivery environment and AI capable of reasoning within it. When context is thorough, speed and confidence harmonize seamlessly.”
A Deepening Alliance
This integration marks the latest progression in the enduring partnership between Harness and Google Cloud.
Harness AI operates on the Gemini Enterprise Agent Platform, and joint customers already reap benefits from augmented access via the Google Cloud Marketplace.
With this announcement, their cooperation expands from the infrastructure stratum to the application layer, fundamentally enhancing how AI comprehends and interacts within the software delivery ecosystem.
Moreover, the Harness MCP Server is now accessible within Google’s Gemini Enterprise app environment, permitting Gemini Enterprise customers to utilize Harness functionalities directly from their current AI interface.
“Google Cloud offers cutting-edge technology that propels partners to innovate and deliver transformative solutions for business enhancement,” stated Ritika Suri, Managing Director, AI and Data Partnerships at Google Cloud.
“Through our partnership with Harness, we will enable customers to access innovative capabilities that can optimize operations, enrich customer experiences, and drive progressive innovations.”
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