Harness, the AI DevOps Platform company, has announced a strategic collaboration with Google Cloud to accelerate software delivery by applying AI across the entire software development lifecycle. The partnership integrates Google Cloud's Vertex AI, including the Gemini model series, into the Harness platform, providing enterprises with the intelligent automation needed to move code from development to production faster, while ensuring enterprise-grade security, privacy, and compliance.
Quick Intel
Harness is collaborating with Google Cloud to integrate Vertex AI into its DevOps platform.
The partnership focuses on applying AI to stages after code is written, like testing and deployment.
Google Cloud's Vertex AI provides private, dedicated model instances for enhanced security.
Customer data processed by Harness AI is never stored or used for training models.
The goal is to help enterprises achieve significant productivity gains and reduce manual toil.
The collaboration includes future investments in Google Cloud's Agent2Agent protocol.
Applying AI to the Entire Software Delivery Lifecycle
While AI is revolutionizing code creation, the greater opportunity lies in automating the subsequent stages of testing, security, deployment, and optimization. Harness AI is built to address this, applying intelligence to eliminate manual toil and accelerate the path to production. This collaboration with Google Cloud provides the secure, scalable AI foundation required for global enterprises. "With Harness AI, developers can focus on innovation instead of toil. That means automating the work after code," said Jyoti Bansal, co-founder and CEO of Harness. "Together with Google Cloud's Vertex AI, we are enabling teams to deliver in days what once took weeks, without compromising security or compliance."
A Secure and Governed AI Foundation with Vertex AI
A core component of the collaboration is the use of Google Cloud's Vertex AI platform, which offers private instances of models like Gemini. This ensures that all customer data remains secure, is never stored, and is never used to train other models, addressing critical enterprise concerns around data privacy and governance. "Enterprises want the speed and creativity AI can bring, but they also need the security, governance, and scale to trust it in production," said Ryan J. Salva, Senior Director of Product Management at Google Cloud. "Harness AI shows exactly how Vertex AI can deliver on those needs."
The partnership between Harness and Google Cloud marks a significant step towards mature, enterprise-ready AI in DevOps. By combining Harness's automation expertise with Google Cloud's secure and powerful AI infrastructure, the collaboration equips development teams to achieve unprecedented velocity and efficiency in software delivery, all within a framework that prioritizes security and compliance.
Harness is the AI DevOps platform for complete software delivery. It provides a simple, safe, and secure way for engineering and DevOps teams to release applications into production. Harness uses AI and machine learning to monitor the quality of deployments and automatically roll back failed ones, saving time and reducing the need for custom scripting and manual oversight, giving engineers their nights and weekends back. Harness customers like United Airlines, Citibank, and Choice Hotels accelerate deployments by up to 75%, reduce infrastructure costs by up to 60%, and decrease lead time for changes by up to 90%. Harness is based in San Francisco and is backed by industry-leading investors like Menlo Ventures, IVP, Unusual Ventures, and Citi Ventures.
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