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Kestra is revolutionizing workflow automation by offering a flexible, scalable, and declarative approach to orchestration. Unlike traditional tools like Airflow and Luigi, Kestra simplifies complex workflows using YAML and supports event-driven execution.
Key Components of Kestra:
- Scheduler: Automates workflow initiation based on schedules or events.
- Executor: Manages workflow execution while maintaining coordination.
- Indexer: Optimizes metadata storage and retrieval for fast searches.
- Web Server: Provides a user-friendly UI and API for workflow management.
- Worker: Executes tasks securely, interfacing with databases, APIs, and external services.
- Internal Storage: Ensures data integrity for task inputs and outputs.
- Queue: Facilitates smooth communication between components.
- Repository: Centralizes workflow assets (flows, logs, etc.).
- Plugins: Extend functionality with custom task types, triggers, and storage solutions.
Why Kestra?
✅ Declarative Workflows – Define workflows in YAML for maintainability.
✅ 600+ Integrations – Works seamlessly with databases, APIs, and cloud services.
✅ Event-Driven Execution – Supports Kafka, APIs, and event buses for real-time processing.
✅ Embedded UI & Code Editor – Build, test, and deploy workflows directly in Kestra.
✅ Enterprise-Grade Scalability – Distributed execution ensures high availability.
You Should Know:
1. Installing Kestra
Run Kestra locally using Docker:
docker run -it --rm -p 8080:8080 kestra/kestra:latest standalone
Access the UI at `http://localhost:8080`.
2. Creating a Simple YAML Workflow
Save this as `hello-world.yml`:
id: hello namespace: dev tasks: - id: print type: io.kestra.core.tasks.log.Log message: "Hello, Kestra!"
Deploy using the CLI:
kestra workflow update --file hello-world.yml
3. Triggering Workflows via API
Use `curl` to execute a workflow:
curl -X POST "http://localhost:8080/api/v1/executions/trigger/dev/hello"
4. Monitoring Workflows
Check execution logs via CLI:
kestra execution list --namespace dev
5. Integrating with Kafka
Example YAML for Kafka event-triggered workflow:
id: kafka-trigger
namespace: dev
triggers:
- id: kafka-event
type: io.kestra.plugin.kafka.Trigger
topic: "test-topic"
brokers: "kafka:9092"
tasks:
- id: process-event
type: io.kestra.core.tasks.scripts.Python
script: |
print("Received Kafka event: {{ trigger.message }}")
What Undercode Say
Kestra provides a powerful alternative to traditional orchestration tools by combining simplicity with scalability. Its YAML-based workflows reduce complexity, while event-driven execution ensures real-time processing. For DevOps and data engineers, Kestra’s integrations with Git, Terraform, and Kafka make it a versatile choice.
Expected Output:
- Kestra GitHub Repo: https://fnf.dev/4ik7Lww
- Official Documentation: https://kestra.io/docs
References:
Reported By: Mr Deepak – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅
