ARGO WORKFLOWS MADE PRACTICAL

Ship production grade Argo Workflows on Kubernetes for CI and data pipelines, from first install to resilient GitOps at scale.

Many teams struggle to turn Argo Workflows into a dependable platform for real delivery. Cluster policies, storage, and workflow design can cause fragile runs and slow feedback.

This book shows a complete, production focused path. You will configure a solid install, author scalable workflows, move data correctly, secure access, add observability, integrate with GitOps, and keep the system stable under load.

• Set up Argo with Helm or Kustomize, production values, health checks, and smoke tests
• Choose when to use steps or DAGs, and rewrite one into the other without losing clarity
• Use container, script, resource, and suspend templates for clean, testable tasks
• Publish reusable building blocks with WorkflowTemplate and ClusterWorkflowTemplate, plus author with the Hera SDK
• Configure artifact storage for S3 compatible endpoints and decide when to use PVCs versus artifacts
• Pass data with parameters and valueFrom, extract JSON with JSONPath, and design fast fanout loops
• Apply retries, backoff, timeouts, exit handlers, and manual gates with suspend
• Control concurrency with parallelism fields, semaphores, and mutex patterns
• Manage lifecycle with TTLStrategy, Pod GC, and CronWorkflow history limits
• Offload node status to SQL, archive workflows, and size schemas for growth
• Expose metrics for Prometheus and export traces with OpenTelemetry, then build useful alerts
• Use argo logs and tracing patterns to triage slow UIs and failed runs
• Implement least privilege RBAC and service accounts, and map SSO groups to roles via Argo CD and Dex
• Shard controllers with instanceID for safe multi tenancy across teams
• Trigger builds with Argo Events, wire webhooks and GitHub sources to workflows
• Adopt GitOps with Argo CD using sync waves, hooks, and the app of apps pattern
• Run a CI chain that builds, scans, signs with cosign, pushes, and deploys with guarded gates
• Use advanced execution with HTTP and Plugin templates via the Argo Agent and WorkflowTaskSet
• Migrate to the Emissary executor and use ContainerSet for high throughput, local data sharing
• Follow a triage playbook for stuck pods, artifact failures, pending workflows, and large requests, plus plan safe upgrades

This is a code heavy guide with working YAML, Bash, Python, and SQL snippets that you can adapt directly to real clusters and pipelines.

Grab your copy today and run Argo with confidence.