Introducing Mezmo at Cloud Field Day 18

Mezmo – Delivering Telemetry Data Understanding and Optimization for Cost Effective Observability

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Managing telemetry data (logs, metrics, events, traces) has been an uphill task in the face of increasing volumes and decreasing budgets. SRE, Platform Engineering, and DevOps teams struggle to understand what is in the data, and to control data volumes to keep enterprise systems running for desired performance and service delivery.  This session discusses how Mezmo telemetry pipelines help understand telemetry data, transform and enrich it, and finally route the right data in the right format to any observability platform for cost control, business insights, and faster incident response. Presented by Tucker Callaway.

Personnel: Tucker Callaway

Understand and Optimize Logs, Metrics, Traces, and Events with the Mezmo Telemetry Pipeline

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In this demo presentation by Mezmo, you will learn steps DevOps, SREs, and Platform Engineers can take to understand their telemetry data, optimize it for usage in observability platforms, and make enterprises more responsive. The session will demonstrate data profiling to identify patterns for repetitive and redundant data, separating signal from noise, and dynamic pipelines for real-time response. It will show steps to optimize logs and events for consumption by downstream observability platforms like DataDog, New Relic, Prometheus, Grafana, and Splunk. You’ll learn how pipelines can help lower observability costs, improve response times, provide business insights, improve security and compliance, and maximize the investment in your current observability tools. Presented by Braxton Johnston.

Personnel: Braxton Johnston