Monitoring, Debugging, and Logging | Apache Airflow Tutorial Series | Part - 5

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Welcome to 'Video 5: Monitoring, Debugging, and Logging' in our comprehensive data pipeline management series. In this instalment, we're diving deep into the heart of efficient data pipeline orchestration. Join us as we explore each critical aspect:

Timestamps:
02:00 Logging configuration and log handlers
06:05 Monitoring DAG runs and Task Instances
06:40 Using Airflow UI for Monitoring DAG runs and Task Instances
12:21 Debugging workflows and task failures
15:42 Performance optimization techniques
20:04 Alerting and notifications

🔍 Logging Configuration and Log Handlers: Learn how to configure precise and robust logging systems, and discover the power of various log handlers for unparalleled visibility into your data pipelines.

📊 Monitoring DAG Runs and Task Instances: Dive into Apache Airflow to master the art of monitoring DAG (Directed Acyclic Graph) runs and individual task instances. Ensure your workflows are always on track.

🐞 Debugging Workflows and Task Failures: When things don't go as planned, be prepared to roll up your sleeves. Explore debugging tools and techniques to swiftly identify and resolve issues in your data pipelines.

⚙️ Performance Optimization Techniques: Optimize your pipelines for peak performance. Discover how to profile, parallelize, allocate resources, partition data, and scale your workflows efficiently.

🚨 Alerting and Notifications: Stay ahead of the curve with proactive alerting. Learn how to configure alert rules, set up notification channels, and ensure you're always in the know about critical events.

Join us on this data pipeline management journey, where you'll gain the skills and knowledge needed to keep your pipelines running smoothly and your data flowing seamlessly. Whether you're a seasoned data engineer or just getting started, this video series has something for everyone.

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