Don’t Limit What You Log But Optimize What You Analyze with Mezmo

In this demo by Mezmo, you will learn steps DevOps, SREs, and Platform Engineers can take to understand their telemetry data (logs, metrics, traces, events) by data profiling, optimize it for cost and volume for observability platforms, and respond to changing application context using alerts on data-in-motion or routing data through alternate paths in case of any incident. In this session, you’ll learn how a telemetry pipeline can help lower observability costs, improve security and compliance, and provide business insights to maximize the outcomes of your data strategy.

The session will demonstrate:

1. Data profiling to identify meaningful application logs vs. OS, repetitive, and redundant logs, separating signal from noise.
2. How stateful pipelines help with the real-time detection of data aberrations.
3. Strategies to reduce log volumes, and capture and process any sensitive data/PII in logs before it reaches observability platforms like DataDog, New Relic, Prometheus, Grafana, and Splunk.