Managing and monitoring logs effectively is crucial for maintaining application performance and security in today's complex cloud environments. Too many useless logs, new errors, or a spike in business-relevant logs after a deployment or configuration change are log patterns you need to be aware of for effective log management and cloud observability. These patterns are critical for infrastructure monitoring, application performance management (APM), and cloud application security.
To give you a head start, Thomas Brandl, Principal Solutions Engineer at Dynatrace, is sharing his Log Pattern Analysis Dashboard with us. In it, he automatically detects common patterns across all logs while following common best practices such as focusing the analysis on Dynatrace buckets, filtering on namespaces or log levels, or using filters based on keywords.
Whether you ingest your logs through Fluent Bit, OpenTelemetry, OneAgent, or any other log data source, this dashboard created by Thomas is versatile enough to enhance your Kubernetes monitoring, serverless monitoring, and synthetic monitoring efforts.
๐ CHAPTERS ๐
00:00 - Introduction
00:48 - Log Pattern Analysis
01:46 - Live Demo Log Pattern Dashboard
10:15 - Wrap Up
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๐ Additional Links
Access the dashboard on the Playground Tenant
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