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Dynatrace’s Intelligent Log Analytics combines logs with other data sources including metrics, traces, real user data, all in context with dependency mapping, for smarter AI-powered full-stack observability that delivers answers and continuous automation. Watch this tutorial with Josh Lange, ACE Architect at Dynatrace, and learn how to analyze log streams with the new log viewer, how to stream logs from your cloud provider, how to get context-rich logs from your Kubernetes clusters or how to chart and alert on log-based metrics. Josh also covers dashboarding, log attributes, custom log ingest and gives an outlook on what new capabilities are coming in the next months. To learn more about Dynatrace Log analytics check out: • Dynatrace Log Analytics: https://dynatr.ac/3MZatHJ • How to Log Analytics with Dynatrace: https://dynatr.ac/3sh7x1c • Log Monitoring FAQs: https://dynatr.ac/3yhWsRo Chapter List 00:00 – Introduction 01:25 – Agenda 02:49 – Environment Overview 03:50 – Log Stream Analysis 04:49 – Cloud Provider Log 06:49 – Enhanced support for k8s 07:40 – DEMO 1: Log Stream Analysis with Dynatrace 16:00 – Log-based metrics for alerting and reporting 17:31 – Enrich logs with topology context 19:14 – DEMO 2: Log-based Metrics, Events, and Alerts 36:14 – Ingest logs from external sources 37:14 – DEMO 3: Log Ingest API 51:25 – What’s coming next?