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Self-Service Log Driven Problem Detection

Learn how #Dynatrace can help you detect critical problems based on logs and streamline troubleshooting by enriching them with further data. In this tutorial, Adam Gardner and Andreas Grabner demonstrate the end-to-end self-service use case based on the OpenTelemetry Demo app. Dynatrace will detect critical logs and notify teams automatically, enriching the problem description with additional relevant metadata for troubleshooting, such as important logs, traces, events, and a link to a Runbook.  This video is for all development and application teams that custom develop or own packaged applications to automate incident detection and response based on critical logs generated by those components in any environment. 🔗 Useful links: Get hands-on and deploy the app on GitHub Codespace: https://dynatr.ac/4emA6Au Implement log-based problem detection in your environments with our detailed Dynatrace documentation: https://dt-url.net/problem-detection-... 📖 Chapters 📖 00:00 - Introduction 00:46 - Use Case: Self-Service Log-Driven Problem Detection 03:50 - GitHub Tutorial Overview 05:14 - Demo: GitHub Tutorial 06:14 - Demo: OpenTelemetry Collector Enrichment 07:27 - Demo: Dynatrace Problem Detection 11:14 - Demo: OpenPipeline Configuration 13:18 - Recap: Tutorial Details 🔬 Have a question about our platform? Visit our community and connect with our experts and users: https://dynatr.ac/3M0AzM6. 👉✅ Stay connected with us! Facebook →   / dynatrace   Instagram →   / dynatrace   LinkedIn →   / dynatrace   X →   / dynatrace   Twitch →   / dynatrace