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Duration 21 hours
Course Outline
Enterprise-Grade Deployment of Apache Airflow
- Provisioning Apache Airflow infrastructure across major cloud service providers (AWS, Azure, GCP)
- Containerizing Airflow instances using Docker and orchestrating via Kubernetes
- Architecting Airflow systems for high availability and fault-tolerant operations
CI/CD Automation for Apache Airflow
- Automating Directed Acyclic Graph (DAG) testing and production deployment workflows
- Integrating Airflow with enterprise CI/CD platforms (e.g., Jenkins, GitHub Actions)
- Governing workflow versioning, change control, and update management
Operational Monitoring and Audit Logging
- Establishing rigorous logging standards for workflow execution and traceability
- Leveraging tools such as Prometheus and Grafana for comprehensive system health monitoring
- Configuring automated alerting mechanisms to detect and respond to failure events
Performance Engineering and Scalability
- Optimizing Airflow configuration parameters for peak performance
- Scaling Airflow deployments utilizing Celery executors for distributed processing
- Managing large-scale workflow orchestration within public sector IT environments
Security Governance and Access Control
- Implementing Role-Based Access Control (RBAC) frameworks in Airflow
- Hardening Airflow environments and securing workflow definitions
- Adopting best practices for the secure handling of sensitive data in workflows
Case Studies and Operational Applications
- Examining real-world implementations of Airflow for DevOps automation in government contexts
- Practical exercise: Deploying Airflow with integrated CI/CD and monitoring tooling
- Analyzing challenges and established solutions in DevOps workflow orchestration
Conclusion and Implementation Pathways
Requirements
- Proficiency in Apache Airflow fundamentals, including DAG creation and task orchestration
- Working knowledge of CI/CD pipelines and DevOps methodologies
- Familiarity with cloud infrastructure and containerization technologies (e.g., Docker, Kubernetes)
Intended Audience
- DevOps Engineers
- Infrastructure Managers
- Cloud Specialists
Testimonials (1)
The instructor adapted the training to the participants’ level and responded to all questions. He was very communicative, and it was easy to interact with him. I really appreciated the format of the training, which included many practical exercises. Overall, it was a very engaging and well-organized session.
