Mastering Apache Airflow for DevOps

• Experience with Apache Airflow basics, including DAG creation and task management
• Knowledge of CI/CD pipelines and DevOps practices
• Familiarity with cloud environments and containerization (e.g., Docker, Kubernetes)

Audience

• DevOps engineers
• Infrastructure managers
• Cloud specialists

Apache Airflow is a powerful platform for orchestrating complex workflows and integrating DevOps practices.

This instructor-led, live training (online or onsite) is aimed at advanced-level participants who wish to deploy Apache Airflow in cloud environments, set up CI/CD pipelines, and implement robust monitoring and logging practices.

By the end of this training, participants will be able to:

• Deploy Apache Airflow in cloud and containerized environments.
• Set up CI/CD pipelines to automate DAG testing and deployment.
• Integrate monitoring and logging tools to enhance system reliability.
• Optimize Airflow configurations for performance and scalability.
• Implement security best practices for managing workflows and environments.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Advanced Deployment of Apache Airflow

• Deploying Apache Airflow on cloud platforms (AWS, Azure, GCP)
• Containerizing Airflow with Docker and Kubernetes
• Configuring Airflow for high availability and fault tolerance

CI/CD Pipelines for Apache Airflow

• Automating DAG testing and deployment
• Integrating Airflow with CI/CD tools (e.g., Jenkins, GitHub Actions)
• Managing workflow versioning and updates

Monitoring and Logging

• Implementing robust logging practices for workflows
• Using tools like Prometheus and Grafana for system monitoring
• Setting up alerting mechanisms for failure scenarios

Performance Optimization and Scaling

• Tuning Airflow configurations for optimal performance
• Scaling Airflow deployments with Celery executors
• Handling large-scale workflow orchestration

Security and Access Control

• Implementing role-based access control (RBAC) in Airflow
• Securing Airflow environments and workflows
• Best practices for managing sensitive data in workflows

Case Studies and Practical Applications

• Real-world examples of Airflow for DevOps automation
• Hands-on exercise: Deploying Airflow with CI/CD and monitoring tools
• Discussion on challenges and solutions in DevOps workflow orchestration

Summary and Next Steps