Routing, Filtering, Aggregation

Best practices for routing, filtering, and aggregating telemetry data with Edge Delta.

  2 minute read  

Smarter Telemetry Starts with Directed Data Flow

Effective observability isn’t about sending every log everywhere. It’s about routing the right data to the right place, at the right time. Directed Data Flow is a core Edge Delta strategy that enables you to conditionally route logs based on their content and purpose—reducing noise, enhancing response times, and minimizing costs.

With Directed Data Flow, you can:

  • Route errors to alerting tools
  • Send analytics logs to data platforms
  • Forward security events to SIEMs

This precision helps teams focus only on what matters, when it matters.

Learn how to build this logic with the Conditional Group Processor and Route Node.

Filter Before You Forward

Unfiltered logs are expensive, noisy, and slow. Edge Delta encourages a “filter-first” approach to drop irrelevant data as early as possible.

Benefits of pre-forward filtering:

  • Reduce ingestion costs to observability platforms
  • Improve signal-to-noise ratio in dashboards and alerts
  • Minimize latency and bandwidth usage
  • Improve compliance by dropping sensitive or irrelevant data

Use the Filter Processor to exclude logs that don’t meet your criteria, and the Mask Processor to redact sensitive content.

Looking to retain just a portion of data? Use the Sample Processor to apply consistent probabilistic sampling.

Aggregate for Actionable Insight

Logs are granular. Metrics tell stories. By converting logs into metrics at the edge, you gain real-time visibility with less overhead.

Edge Delta lets you:

Metric-based monitoring reduces alert fatigue and supports proactive troubleshooting. It also improves scalability by dramatically shrinking data volumes.

Key Takeaways

  • Route logs with intent
  • Filter aggressively to reduce cost and noise
  • Aggregate logs into metrics for scalable insight

What’s Next?