Top Features of Splunk Observability Cloud for Engineers
In this video we’ll walk you through a demonstration of Splunk Observability Cloud’s key capabilities. You’ll see how you can monitor Kubernetes cluster health in Infrastructure Monitoring, and alert on your services’ health using AutoDetect Detectors and Alerts. We’ll then take a look at traces and metrics in APM, and use Related Content to find correlated log entries of error traces. Then we’ll use AlwaysOn Profiling to troubleshoot long duration traces for our service.
To get a better understanding of your user’s experience, we’ll perform a walkthrough of Real User Monitoring and Synthetic Monitoring. None of this is possible without first getting data into Splunk Observability Cloud, so I’ll show you one of these easiest ways to deploy the Splunk OpenTelemetry Collector to your Kubernetes cluster using our guided setup wizard. We’ll briefly discuss how you can control the volume of ingested data using Metrics Pipeline Management, and then wrap up with an exciting demonstration of the AI Assistant in Splunk Observability Cloud helping us troubleshoot a service.
Try Splunk Observability Cloud free for 14 days: https://splunk.com/o11y-trial
Splunk Observability Hub: https://splunk.com/observabilityhub
TOC:
00:00 Introduction
02:46 Splunk Observability Cloud capabilities overview
04:13 Infrastructure Monitoring - Kubernetes Navigators
07:45 Detectors, Alerts and SLOs
10:23 APM overview
14:55 Log Observer
19:19 AlwaysOn Profiling
22:55 RUM
27:00 Synthetic Monitoring
29:00 Getting Data In (deploy the Splunk OpenTelemetry Collector to Kubernetes)
32:46 Metrics Pipeline Management
33:17 AI Assistant in Splunk Observability Cloud
34:15 Recap
35:40 Conclusion