Troubleshooting & Tuning Overview
less than a minute
Edge Delta gives you full control over how observability data moves through your pipelines—and that includes quickly identifying and resolving issues when something goes wrong. Whether you’re investigating deployment behavior or tuning performance to meet cost or scale goals, this section outlines the core tools and practices for troubleshooting and optimization.
You’ll learn how to profile agents for performance issues and solve common deployment challenges across environments like Docker, Linux, and Kubernetes.
Explore the key tools and workflows below:
Performance Tuning
Ensure your data pipelines scale efficiently and avoid overconsumption. This section shows how to:
- Optimize processor configuration and placement
- Profile agent memory and CPU usage
- Identify and correct uneven deployments
You’ll also find platform-specific guidance for tuning agents across containers, clusters, and hosts.
Common Issues and Fixes
Access a growing library of targeted solutions for real-world operational challenges. These include:
- Installation issues across Docker, Helm, kubectl, and Linux
- Timestamp formatting and escaping quirks
- Edge cases like in-cluster destinations and persistent cursors
Each guide walks through diagnostics, log interpretation, and resolution steps to get your pipeline back on track.
Ready to build and test your own pipeline? Start with the Quickstart Guide.