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Today, we’re excited to announce our expanded partnership with Amazon, bringing together the power of Amazon Kiro, Amazon Q Developer, and Harness SaaS on AWS to revolutionize how your team builds, troubleshoots, secures, and deploys software. This collaboration is designed to deliver a seamless, intelligent, and scalable software delivery experience for all AWS customers.
Harness SaaS on AWS: Powering Cloud-Native Delivery
Harness SaaS on AWS empowers engineering and DevOps teams to deliver software faster, safer, and more efficiently across cloud-native environments. By leveraging the robust infrastructure of AWS, Harness provides an AI platform that scales with your business needs. With Harness SaaS on AWS, you get:
- Accelerated, Reliable Deployments: Build and execute complex pipelines in minutes, supporting advanced deployment strategies like blue/green, canary, and rolling updates for AWS services such as EKS, ECS, Lambda, and Auto Scaling Groups.
- Smart Automation & Continuous Verification: Harness leverages AI to run only tests affected by code changes and detect anomalies and automatically roll back failed deployments, minimizing downtime and risk.
- Automated Security & Compliance: Built-in secret management, audit trails, granular RBAC, and continuous vulnerability scanning ensure every deployment is secure and compliant.
- Cloud Cost Optimization: Harness Cloud Cost Management gives FinOps and engineering teams granular visibility and automated orchestration to maximize savings and optimize AWS consumption.
AI-Powered Software Delivery, Right in Your IDE
The Harness Platform is now even more powerful with the integration of Amazon Kiro and Q Developer. This agentic IDE revolution enables developers to manage, optimize, and resolve CI/CD pipeline, security, and testing issues directly from their development environment using natural language. No more switching between Kiro and the Harness platform. Now, you can ask Kiro for your AWS infrastructure information, along with Harness pipeline executions, in the context of your IDE. Learn more about the different use cases in this blog post.
Context is the key for any AI to be effective. Harness’s Software Delivery Knowledge Graph ensures that this automation is tailored to your AWS environment, providing actionable insights rather than generic recommendations. Whether you’re a seasoned expert or a new team member, this integration makes shipping code faster and more intuitive. Learn more about the Knowledge Graph.
Real Value, Real Results
Harness is already helping customers achieve accelerated build and deployment using AI-powered features such as Test Intelligence and Continuous Verification. Organizations such as United Airlines and Trust Bank have enhanced their software delivery experience with Harness and AWS.
Specifically, for Trust Bank, Harness's cloud-first capabilities enable Trust Bank to efficiently deploy changes across its containerized applications on AWS, utilizing Amazon EKS. Trust Bank also leverages AWS services such as Amazon Athena, Amazon RDS, and Amazon Aurora, resulting in a resilient, secure, and optimized infrastructure that scales with its growth. Trust Bank sought a solution to integrate with its AWS environment, reduce developer workload, and prioritize innovation, aiming to offload the onerous supply delivery chain lifecycle. By integrating Harness with AWS and automating compliance, security, and risk checks in the CI/CD pipeline, Trust Bank cut its deployment lead time from two weeks to just 24 hours. Automated compliance ensures all industry-standard controls are met, maintaining high security. This automation enables Trust Bank to focus on delivering innovative products, rather than being hindered by manual processes.
Built for Shipping Software with Confidence
This partnership delivers enterprise-grade automation, contextual intelligence, and seamless cloud-native delivery, all backed by the reliability of AWS. Harness SaaS on AWS is available for purchase through the AWS Marketplace, making it easy for your organization to get started and scale as your needs grow. Together with Amazon Kiro, Q, and Harness SaaS on AWS, Harness and Amazon are committed to removing bottlenecks and empowering teams to ship software with confidence.
Register for the “Securing AI Velocity” webinar to learn more about how Harness and AWS can make software delivery better.
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Bala Venkatrao is the SVP & GM of Platform at Harness, where he leads the teams responsible for the shared platform services that power all Harness products. Before joining Harness, Bala spent over five years at Atlassian as a General Manager, leading key initiatives across Partners, Ecosystem, Marketplace, and Commerce. Earlier in his career, he co-founded an AIOps startup, where he served as Chief Product Officer. Bala brings a founder’s mindset, deep enterprise SaaS experience, and a passion for building products and platforms that scale and deliver lasting customer value.
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I’m the Product Lead for Harness AI, driving the future of AI-native DevOps. I introduced the AI DevOps Agent to automate pipeline creation and management, the Unified Agent to streamline developer experiences, and the Harness MCP (Model Context Protocol) Server to securely power multi-agent workflows. Together, these initiatives enable teams to go from hours to minutes in onboarding, while unlocking scalable, AI-driven software delivery.
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Chinmay's expertise centers on making complex technologies - such as cloud-native solutions, Kubernetes, application security, and CI/CD pipelines - accessible and engaging for both developers and business decision-makers. His professional background includes roles as a software engineer, developer advocate, and technical marketing engineer at companies such as Intel, IBM, Semgrep, and Epsagon (later acquired by Cisco). He is also the co-author of “AI Native Software Delivery” (O’Reilly).