Workflow Orchestration Without Limits Using Kestra

Orchestration is what turns “a script that works” into a pipeline you can actually run in production. In this course, you’ll learn how to build scalable, reliable workflows with Kestra on Google Cloud Platform (GCP). From local development all the way to event-driven execution in the cloud.

Kestra is a modern orchestration platform that lets you define workflows as YAML-based flows, connect tasks through inputs and outputs, and run them with built-in monitoring, retries, and execution tracking. Throughout the course, you’ll build a strong mental model for how orchestration should work, and how to design workflows that stay maintainable as they grow.

This course is fully hands-on. You’ll set up Kestra locally using Docker, connect it to Google Cloud, and start building real workflows that interact with Cloud Storage (GCS) and BigQuery. You’ll orchestrate end-to-end data pipelines: loading raw data, transforming it using SQL, and applying practical design patterns like raw vs. clean datasets and proper handling of invalid records.

You’ll also learn how to run real code inside workflows using Python and Java, how to synchronize code from GitHub using native Kestra sync tasks, and how to build reusable pipeline logic with subflows.

To push your workflows to a production-ready level, you’ll implement loops for dynamic file processing, run tasks in parallel, build resilient pipelines with error handling and retries, and create event-driven pipelines that trigger automatically when new files arrive. Finally, you’ll learn how to monitor, debug, replay executions, and build dashboards that turn workflow history into actionable metrics.

By the end, you’ll be able to build orchestration pipelines that are modular, scalable, and built for real-world operation.