Use Cases
- Integrate with ArgoCD, Helm, Terraform, and 100+ other tools while using automated, orchestrated workflows-eliminating tool silos, enabling centralized control across your delivery process and increasing velocity
- Automatically trigger actions like builds, tests, approvals, and rollbacks across systems, containers, and Kubernetes with predefined and customizable templates. This reduces manual scripting and streamlines complex pipelines
- Policy-driven pipelines ensure that every deployment follows best practices. This minimizes variability, improves reliability, and supports compliance-especially in complex, enterprise or regulated environments
- Accelerate setup with intuitive, guided onboarding instructions that ensures proper configuration of applications, environments, and deployment targets. This reduces time-to-value, lowers onboarding errors, and enables faster adoption across teams
- Use GitOps workflows to automate and standardize infrastructure provisioning and deployment execution. Leverage greater operational efficiencies improved traceability, and the ability to scale operations reliably while maintaining alignment with infrastructure-as-code best practices
- Apply policy-as-code to automatically enforce internal standards, security requirements, and compliance mandates throughout the SDLC while reviewing metrics to assess organizational success when following best practices
- Seamlessly connect with popular CI/CD, infrastructure, and monitoring tools-bringing fragmented insights into a single, centralized view. Instantly review, act upon, and incorporate AI insights to process end-to-end release and deployment data
- Implement 100+ built in analytics to gain immediate visibility into key indicators such as deployment frequency, lead time for changes, and change failure rate. These metrics benchmark performance, identify inefficiencies, and prioritize improvement areas
- Configure dashboards to highlight metrics aligned with team priorities and KPIs, whether it's pipeline health, release velocity, or rollback trends. This customization ensures that DevOps teams are equipped with relevant, focused insights that help maintain delivery stability, reduce risk, and support enterprise-scale operations
See Our Platform in Action
