Best Practices

Use these guides to deploy and optimize ThousandEyes across agents, tests, dashboards, alerts, account groups, and integrations.

Available Guides

• Best Practices for Implementing Account Groups

  • Why use this: Provides a framework for organizing infrastructure, managing permissions, and separating data across large deployments.

  • What this is for: Managing mass deployment, infrastructure organization, and compliance at scale.

• Choosing the Right Test Protocol for Cloud and Enterprise Agent Network Tests

  • Why use this: Details the physics of probing and how different protocols interact with network policies.

  • What this is for: Gaining precision in test configuration and firewall traversal.

• Optimizing SYN vs SACK Probing Methods to Avoid Unexplainable Packet Loss

  • Why use this: Explains the exact difference between TCP SYN and TCP SACK behavior, helping distinguish actual forwarding loss from firewall drops.

  • What this is for: Focusing on root cause analysis and gathering evidence to reduce mean time to innocence.

• Using Dashboards to Tell a Story

  • Why use this: Shows how to frame dashboards as communication tools, focusing on executive summaries, SLA reporting, and before-and-after comparisons.

  • What this is for: Communicating ROI, vendor SLAs, and strategic value to leadership.

• Self-Serve Test Settings and Alerts for Connected Devices

  • Why use this: Explains how to manage test creation, agent assignment, and alerting at scale across Connected Devices fleets, including ISP routers and whiteboxes, without manual "Click-Ops".

  • What this is for: Scaling mass deployment and automating configuration for large distributed agent fleets.

• Streaming Connected Devices Test Metrics to Google Pub/Sub

  • Why use this: Explains how to export test metrics programmatically from ISP routers and whiteboxes to Google Pub/Sub for external storage, custom analytics, or automation workflows.

  • What this is for: Integrating large-scale fleet data into broader Infrastructure as Code (IaC) environments and custom data pipelines.