Deliver perfect software experiences with real-time intelligence into customer satisfaction and behavior, your applications, and the performance of your hybrid multi-cloud. AI-powered root-cause analysis automatically identifies customer facing performance issues and pinpoints the root-cause within seconds. Open APIs allow ingestion of 3rd party metrics and enable complex system integrations.
In this demo, Rob Jahn shares a sophisticated incident remediation workflow incorporating intelligence from Dynatrace, automation in Rundeck, and incidents in PagerDuty.
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Time Stamps:
00:00 - Intro
02:00 - What is Dynatrace. Dynatrace 2020 Global CIO Report
08:00 - Dynatrace, PagerDuty, and Rundeck
10:45 - Demo of using Dynatrace, Github Actions, PagerDuty, Jira, and Slack. The app Rob is using is on Github.
17:15 - How #kubernetes on #azure looks in Dynatrace
20:00 - A problem with a deploy causes an incident
23:15 - What Dynatrace is passing to PagerDuty via the Events API
24:30 - Using Event Rules to manage incoming events
31:00 - PagerDuty alerts in Slack
33:00 - PagerDuty integration with Jira
36:00 - Custom Actions in PagerDuty run a Rundeck job to revert a deploy
39:00 - Looking at jobs in Rundeck
47:00 - Getting started with Dynatrace
50:30 - Dynatrace and Kubernetes
53:00 - Dynatrace SLI/SLO Dashboard. Learn more about SLIs and SLOs in the Google SRE Handbooks.
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