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Splunk Observability Cloud scenarios 🔗

This is the collection of scenarios available for Splunk Observability Cloud.

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: Alex troubleshoots slow traces 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