Kestra Quick Start Guide — 1 Hour Getting Started Tutorial on Building Data Pipelines with Kestra

Step-by-Step Tutorial: Building Data Pipelines with Kestra

1. Introduction to Kestra:

   • Kestra is orchestration software that allows you to build data pipelines.
   • Visit kestra.io for more information and documentation.

2. Join Kestra Community:

   • Show appreciation to developers by starring the project on GitHub.
   • Join the Kestra Slack community for quick and thorough assistance.

3. Setting Up Kestra:

   • Create a directory named 'kestra' in your terminal.
   • Start Visual Studio Code for editing.

4. Running Kestra in Docker:

   • Run the Docker command to start Kestra in a container.
   • Wait for the image to download and container to start.

5. Accessing Kestra Dashboard:

   • Open a web browser and go to 'localhost:80' to access the Kestra dashboard.
   • Explore the dashboard, editor, flows, executions, logs, blueprints, etc.

6. Creating Your First Flow:

   • Create a folder named 'scripts' and a file named 'hello.py' inside it.
   • Write a YAML file named 'hello.yml' to define a simple flow.
   • Save the files and execute the flow in Kestra.

7. Troubleshooting and Debugging Flows:

   • Check logs, executions, and outputs for any errors or issues.
   • Modify the flow as needed and re-execute for successful results.

8. Using Namespaces in Kestra:

   • Understand and utilize namespaces to organize your flows effectively.
   • Switch between namespaces for managing different projects.

9. Handling Data Files:

   • Download a data file using a task in Kestra.
   • Unzip the downloaded file and access its contents for further processing.

10. Uploading Data to Google Cloud Storage:

    • Create a task to upload the extracted data file to Google Cloud Storage.
    • Set up a service account with necessary permissions for the upload task.

11. Managing Secrets in Kestra:

    • Securely store and access credentials using secrets in Kestra.
    • Base64 encode sensitive information for enhanced security.

12. Finalizing and Testing:

    • Test the data upload task and ensure successful completion.
    • Monitor executions, logs, and outputs for verification.

13. Community Engagement and Resources:

    • Stay updated with Kestra news and milestones.
    • Join the Kestra Slack community for discussions, support, and learning opportunities.

By following these steps, you can effectively build data pipelines and automate workflows using Kestra orchestration software. Feel free to explore more features and functionalities within Kestra for your data processing needs.