Workflow
Automation
Orchestrate complex operations across infrastructure, Kubernetes, and scripts. Trigger, execute, and monitor with full visibility.
Real infrastructure work is never a single step. Deploying infrastructure, running validation, applying configuration, notifying teams, and handling failures all need to happen in the right order. ops0 workflows coordinate that entire sequence with error handling, parallelism, and live visibility built in.
Define Steps Once, Execute in Any Order
Some steps must run sequentially. Others can run in parallel to save time. ops0 workflows let you express both. Define dependencies between steps and the engine handles the rest: running independent steps concurrently and waiting for prerequisites before proceeding. Deploy infrastructure to ten regions at once, then run post-deployment checks only after all of them complete.
Seven Step Types to Cover Every Operation
Workflows are only useful if they can do the work. ops0 supports Terraform and OpenTofu deployments, Ansible configuration runs, Kubernetes manifest applies, shell script execution, HTTP webhook calls, human approval gates, and Kubernetes incident queries. Mix these step types to build workflows that cover your entire operational process without stitching together separate tools.
Three Ways to Trigger a Workflow
Different operations need different triggers. Manual triggers let users run workflows on demand from the dashboard or API. Cron triggers run on a schedule, perfect for routine tasks like nightly cost reports or weekly compliance scans. Webhook triggers respond to external events, such as a new container image pushed to your registry triggering an automated rollout. Each workflow uses the trigger model that fits its purpose.
Watch Workflows Happen in Real Time
Waiting for a workflow to finish without knowing what is happening is frustrating and slows incident response. Real-time streaming shows logs as they are written, status updates as each step completes, and error details immediately when something fails. The live view stays connected for the entire workflow duration so nothing important is missed while you are watching.
Branch on Results, Recover from Failures
Not every workflow follows the happy path. Conditional logic lets workflows branch based on the outcome of previous steps: notify on success, trigger a rollback on failure, escalate if a threshold is exceeded. Per-step retry logic handles flaky operations automatically with configurable attempts and backoff. Timeouts prevent stuck steps from blocking everything downstream.
Complete History for Every Run
Every workflow execution is recorded with full logs, step outputs, timing data, and success or failure status. When something goes wrong, the history tells you exactly what happened, what each step produced, and where the workflow diverged from expectations. Replay past runs to validate fixes. Review patterns across runs to identify steps that fail more often than they should.
