Native AI Agent Deployment in Harness Continuous Delivery

Agent development is facing significant challenges, with only a small percentage of organizations successfully deploying agentic AI into production due to risks primarily associated with the deployment process. Harness aims to address these challenges by simplifying and securing the deployment of AI agents with its Continuous Delivery (CD) platform, which offers out-of-the-box pipeline steps for platforms like Google's Agent Runtime and Amazon Bedrock AgentCore. This approach ensures governed and auditable releases without the need for custom scripts, leveraging existing tools like RBAC and audit trails. The deployment of agents involves orchestrating changes across various dependencies, including backend services and configurations, and adheres to a lifecycle similar to traditional software development, yet is uniquely adapted for the non-deterministic nature of agent outputs. Managed runtimes provide specific benefits over generic Kubernetes deployments, such as session management and execution isolation, making them a compelling choice for organizations seeking streamlined deployments. Harness facilitates this process by providing a unified model for managing agent services across different cloud environments, thereby enabling safe, efficient, and scalable agent deployments.

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