Super vision smart goggles
summary
Demonstrates a live swift root-cause workflow: an alert links to a trace that correlates logs and shows table DB example doesn't exist, so tracing plus reformatted JSON logs lets the team find the culprit fast. Uses Elastic APM with a JVM agent that instruments apps via env vars so the agent adds correlation IDs and injects trace/span headers. At scale—400+ custom applications—this enables ML anomaly detection, proactive fixes, and measurable customer-experience telemetry rather than guesswork.
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chapters (8)
- 0:00Observability challenges
- 2:01Our observability journey
- 3:05Swift root cause analysis with Elastic
- 6:19What is observability
- 7:43Implementing instrumentation
- 12:59Observability benefits
- 16:57Proactive monitoring and collaboration
- 18:45Observability business impact
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