ThousandEyes Integration with Splunk Observability Cloud

120 minutes   Author Alec Chamberlain

This workshop demonstrates integrating ThousandEyes with Splunk Observability Cloud to provide unified visibility across your synthetic monitoring and observability data.

What You’ll Learn

By the end of this workshop, you will:

  • Deploy a ThousandEyes Enterprise Agent as a containerized workload in Kubernetes
  • Integrate ThousandEyes metrics with Splunk Observability Cloud using OpenTelemetry
  • Configure distributed tracing so ThousandEyes and Splunk APM can link to the same requests
  • Create synthetic tests for internal Kubernetes services and external dependencies
  • Monitor test results in Splunk Observability Cloud dashboards
  • Move from ThousandEyes into Splunk APM traces and back to the originating ThousandEyes test

Sections

Core path

  • Overview - Understand ThousandEyes agent types and architecture
  • Deployment - Deploy the Enterprise Agent in Kubernetes
  • Splunk Integration - Stream ThousandEyes metrics into Splunk Observability Cloud
  • Distributed Tracing - Enable supported bi-directional drilldowns between ThousandEyes and Splunk APM

Scenario extensions

  • Kubernetes Testing - Create internal tests that are useful for both synthetic monitoring and trace correlation
  • RUM - Correlate ThousandEyes network signals with Splunk RUM for end-user investigations

Support

Tip

Think of this scenario as two connected integrations: the OpenTelemetry stream gets ThousandEyes metrics into Splunk, and distributed tracing gives you the reverse path back into ThousandEyes from Splunk APM.

Prerequisites

  • A Kubernetes cluster (v1.16+)
  • RBAC permissions to deploy resources in your chosen namespace
  • A ThousandEyes account with access to Enterprise Agent tokens
  • A Splunk Observability Cloud account with ingest token access and permission to create an API token for APM lookups

Benefits of Integration

By connecting ThousandEyes to Splunk Observability Cloud, you gain:

  • 🔗 Unified visibility: Correlate synthetic test results with RUM, APM traces, and infrastructure metrics
  • 📊 Enhanced dashboards: Visualize ThousandEyes data alongside your existing Splunk observability metrics
  • 🔄 Bi-directional drilldowns: Move from ThousandEyes Service Map to Splunk traces and from Splunk APM back to the ThousandEyes test that generated the request
  • 🚨 Centralized alerting: Configure alerts based on ThousandEyes test results within Splunk
  • 🔍 Root cause analysis: Quickly identify if issues are network-related (ThousandEyes) or application-related (APM)
  • 📈 Comprehensive analytics: Analyze synthetic monitoring trends with Splunk’s powerful analytics engine