Complex Deployments.
Simplified with AI.

Progressive Delivery is a strategy where software is introduced to some users or traffic before others to manage risk during the release process. Progressive Delivery is enabled by integrating several technical strategies, including Feature Management and Experimentation, Canary Releases, Blue-Green Deployments, and Automated Rollbacks. Harness integrates these components natively, allowing organizations to decouple deployment from release and perform controlled A/B experimentation to assess feature impact. The platform enables you to release more often, more safely. 

In order to make sure your CI/CD is compliant with SoX, focus on clear controls and traceability. Every change to production should be reviewed by someone other than the author, tested (including security checks), approved through a documented process, and deployed via auditable automation that prevents bypassing controls. Maintain immutable logs showing who did what and when.

For more information, read this whitepaper.

A software delivery platform is an end-to-end solution that unifies all the tools and processes needed to build, test, secure, and deploy software. Harness CD is the anchor of this platform, integrating seamlessly with CI, security testing, and cost management. It provides a single, cohesive experience to eliminate toolchain chaos and move from code to production with speed and safety.

Harness is designed to manage any app and any architecture, including complex, stateful services. You can easily orchestrate database deployments as a stage within your pipeline, ensuring schema migrations run in the correct order relative to your application. This allows you to verify and, if needed, automatically roll back both the application and the database change, all from a single, unified platform.

It means moving beyond basic automation. Harness’s context-aware AI acts as an expert partner to:

• Generate Pipelines: Use the AI DevOps Agent to create production-ready continuous deployment pipelines from natural language. You should be able to ask, “Create a deployment pipeline targeting AKS with my team’s normal testing and scanning tools.” 
• Verify Deployments: As you roll out a deployment, automatically analyze observability data in real-time to detect anomalies and verify release health.‍
• Explain failed steps: Instead of you digging through logs, the AI should explain failed steps to you.

Yes. CI tools are not built for the complexities of enterprise deployment. Using them for CD results in brittle, hard-to-maintain scripts, slow rollouts, and risky manual rollbacks turning your delivery process into a bottleneck.

A purpose-built software delivery platform like Harness is designed specifically for deployment. It provides a context-aware AI partner, script-free management of any architecture (Kubernetes, VMs, etc.), and intelligent safety features, such as automated rollbacks, that CI tools simply don't offer.

GitOps is a methodology that uses Git as the single source of truth for declarative infrastructure and application deployment. While a GitOps tool like Argo CD is good for managing cluster state, enterprises often struggle with "Argo sprawl" - hundreds of unmanageable instances with no centralized governance or visibility.

Harness acts as an Enterprise Control Plane for GitOps. It enhances your existing investment in tools like Argo CD by providing centralized visibility, powerful promotion orchestration, and AI-powered release verification for all your deployments.

Continuous Integration (CI) is the practice of automating the building and testing of code every time a developer commits a change.

Continuous Delivery (CD) is the separate, more complex practice of automatically preparing and reliably releasing that tested code to through test environments and into production rapidly and safely. Harness provides distinct Continuous Integration and CD capabilities. They work together or you can leverage Harness CD from where your existing CI tool leaves off.