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Streamlining Log Management with OpenTelemetry - Best Practices for Capturing, Parsing, and Storing Logs

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2025-01-13 02:30:15

Join us for a virtual meetup on Zoom at 8 PM, July 31 (PDT) about using One Time Series Database for Both Metrics and Logs 👉🏻 Register Now

OpenTelemetry (OTel) is an open-source standard designed specifically for monitoring the health of applications. By collecting metrics, logs, and traces, it provides a comprehensive view of the system, helping operations teams quickly identify and resolve issues.

In our previous blog What is OpenTelemetry — Metrics, Logs, and Traces for Application Health Monitoring we introduced the different components of OTel and how they work together.

In this article, we’ll focus on logs, one of the three pillars of observability. Logs are essential for understanding events within a system, providing detailed, time-stamped records of operations. However, the unstructured nature of logs can make it challenging to extract meaningful insights. That’s where OpenTelemetry’s standardized Log Data Model steps in, offering a structured framework to make logs easier to capture, query, and analyze.

Let’s dive into how OpenTelemetry transforms raw log data into actionable insights and the tools it provides for efficient log collection and processing.