Splunk Observability Cloud scenarios 🔗

This is the collection of scenarios available for Splunk Observability Cloud. Use scenarios to understand how to use Splunk Observability Cloud products and features to address your real-life goals.

Category	Scenario
Splunk Observability Cloud	Scenario: Wei maintains a secure organization with many teams and users using Splunk Observability Cloud
OpenTelemetry	Scenario: Kai monitors infrastructure and apps in a cloud environment using the Splunk OTel Collector
Alerts and detectors	Scenario: Kai creates a detector to monitor server latency
Alerts and detectors	Scenario: Kai monitors system limits with AutoDetect
Alerts and detectors	Scenario: Kai finds active alerts to investigate a CPU issue
Alerts and detectors	Scenario: Kai fixes a detector that misfires alerts
APM	Scenario: Kai investigates the root cause of an error with the Splunk APM service map
APM	Scenario: Kai tracks how services impact Business Workflows
APM	Scenario: Deepu finds the root cause of an error using Tag Spotlight
APM	Scenario: Deepu accelerates troubleshooting using Business Workflows on Tag Spotlight
APM	Scenario: Alex troubleshoots an issue to find the root cause using Trace Analyzer
APM	Scenario: Deepu monitors service performance using a built-in dashboard
APM	Scenario: Wei configures Business Workflows to track business KPIs
APM	Scenario: Wei monitors Business Workflows to measure business KPIs
APM	Scenario: Skyler analyzes historical data to optimize system performance using the built-in dashboard
APM	Scenario: Kai monitors detector service latency for a group of customers
APM	Scenario: Alex monitors service performance using endpoint performance
APM database query performance	Scenario: Jax identifies slow database queries using Database Query Performance
APM database query performance	Scenario: Skyler investigates Redis performance issues using Database Query Performance
APM Profiling	Scenario: Sasha finds performance issues using AlwaysOn Profiling
APM Profiling	Scenario: Sasha analyzes memory usage using AlwaysOn Profiling
Infrastructure Monitoring	Scenario: Kai troubleshoots a server failure using the Kubernetes navigator
Infrastructure Monitoring	Scenario: Combine aggregation and dropping rules to control your metric cardinality and volume
Infrastructure Monitoring: Network Explorer	Scenario: Kai identifies network problems affecting services
Infrastructure Monitoring: Network Explorer	Scenario: Skyler identifies sources of high network transfer costs
Infrastructure Monitoring: Network Explorer	Scenario: Kai examines upstream and downstream dependencies for a service update
IT Service Intelligence	Scenario: Lauren groups related alerts with ITSI
IT Service Intelligence	Scenario: Kai monitors business service degradation and identifies the root cause
RUM	Scenario: Kai identifies performance bottlenecks with Splunk RUM for Browser
RUM	Scenario: Create custom events and monitor a single page application
RUM	Identify errors in browser spans
RUM	Scenario: Kai finds the root cause of a user-reported error in Splunk RUM for Mobile
Synthetic Monitoring	Scenario: Monitor a multi-step workflow using a Browser test
Synthetic Monitoring	Scenario: Monitor API performance for a critical workflow
Synthetic Monitoring	Scenario: Monitor the performance of a user-facing application
Log Observer Connect	Scenario: Aisha troubleshoots workflow failures with Log Observer Connect
Splunk platform integration	Scenario: Kai troubleshoots faster with IT Service Intelligence and Splunk Observability Cloud

This page was last updated on Oct 30, 2024.

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