Workflows are sequences of automated steps that accomplish complex tasks safely and reliably.

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What workflows do

Automate multi-step processes:
  • Deploy applications through multiple environments
  • Run security scans and respond to findings
  • Process data through multiple transformation stages
  • Coordinate actions across multiple systems
Connect different tools:
  • Get code from GitHub, build with Docker, deploy to Kubernetes
  • Monitor with Prometheus, alert via Slack, create Jira tickets
  • Query databases, generate reports, send via email
Handle complex logic:
  • If-then-else conditions based on results
  • Retry failed operations with exponential backoff
  • Parallel execution where possible
  • Error handling and rollback procedures

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How workflows work

  1. Define the steps - What needs to happen in what order
  2. Set dependencies - Which steps must complete before others start
  3. Configure each step - What tools to use and how
  4. Run the workflow - Execute manually, on schedule, or triggered by events
  5. Monitor progress - See real-time status and detailed logs

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Key benefits

Safety: Each step runs in its own isolated container, preventing conflicts and ensuring clean environments. Reliability: Same inputs always produce the same outputs. No surprises in production. Visibility: Complete logs and audit trails for every step and decision. Flexibility: Use any language, tool, or system - not limited to specific technologies. Scalability: Steps can run in parallel when possible, and the system scales automatically.

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Common workflow patterns

Deployment pipeline:
  • Fetch code → Build image → Run tests → Deploy to staging → Run integration tests → Deploy to production
Incident response:
  • Detect issue → Gather diagnostics → Notify team → Apply fixes → Verify resolution → Update documentation
Data processing:
  • Extract from source → Validate data → Transform format → Load to warehouse → Generate reports → Send notifications
Security workflow:
  • Scan for vulnerabilities → Assess risk → Create tickets → Apply patches → Verify fixes → Report compliance

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Building workflows

Visual editor (Composer): Drag-and-drop interface for building workflows without coding. Python SDK: Write workflows as code with full programmatic control. YAML definition: Define workflows declaratively for version control and automation. AI generation: Describe what you want in natural language and let AI create the workflow.

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When to use workflows

✅ Multi-step processes that involve several tools or systems ✅ Repetitive tasks you do manually that could be automated ✅ Complex logic with conditions, loops, or error handling ✅ Cross-system operations that need to coordinate multiple services ❌ Simple single-step tasks (use direct tool execution instead) ❌ Highly creative tasks that need human judgment throughout
Getting started: Try Composer to build your first workflow visually, or use the SDK if you prefer code.