A hands-on tutorial that explains how to build and manage Open Observe pipelines, covering real-time and scheduled data processing, visual pipeline creation, and data transformation using VRL.
Differences between real-time and scheduled pipelines
Core components of Open Observe pipelines
How to create pipelines using a visual drag-and-drop builder
Writing and applying VRL functions for data transformation
Routing data to multiple outputs/destinations
Setting up and managing advanced pipeline configurations
Monitoring pipeline performance and troubleshooting issues
Best practices for using observability data effectively
This tutorial provides a step-by-step guide to mastering Open Observe pipelines for efficient data processing. It explains the key differences between real-time and scheduled pipelines and demonstrates how to build them using a visual drag-and-drop interface. You will learn how to apply VRL (Vector Remap Language) functions for transforming data, route data to multiple destinations, and configure advanced pipeline settings. The session also covers monitoring and managing pipelines to ensure reliability and performance. By the end, you’ll have a clear understanding of how to design, implement, and optimize pipelines for observability use cases
Simran specializes in DevOps, cloud-native technologies, and observability, with hands-on experience in Kubernetes, Docker, and AWS. Creates practical, accessible technical content and solutions that help teams simplify complex workflows and improve system reliability.
