Troubleshooting & Tuning Overview

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 validating a new pipeline, 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 use real-time data to test pipelines, 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.

Pipeline Validation and Testing

Before you ship changes, test them. Edge Delta supports multiple testing workflows—inline previews, test benches, and controlled routing logic—to help you verify that pipeline behavior matches expectations.

You’ll learn how to:

• Validate processor logic without pushing to production
• Create isolated test environments
• Design synthetic inputs for reproducible debugging

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.