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You've successfully completed the lab and built hands-on skills in network and application performance monitoring using ThousandEyes.
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🚀 Lab Recap & Key Takeaways
Getting Familiar with ThousandEyes
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Verifying login credentials
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Navigating the dashboard
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Auditing existing synthetic test settings
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Correlating test data to identify failure points
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Setting up local time preferences
Key Takeaways:
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ThousandEyes' layered synthetic testing enables fast root cause identification
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Time-aligned data views are crucial for isolating network vs application issues
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Account groups allow separation between shared test environments and personal lab space
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Custom settings like time zone improve test result interpretation
Creating a Branch Enterprise Agent
Deploy and onboard Enterprise Agents at both a HQ and a Remote Branch to investigate voice quality issues and establish end-to-end visibility for Webex and Teams traffic.
Key Takeaways:
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Enterprise Agents offer visibility into on-prem environments, ideal for diagnosing voice/video issues like jitter, latency, or packet loss.
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Labeling agents improves test organization and targeting.
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Account Group Tokens are the bridge between the local agent and your ThousandEyes tenant.
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Using both Branch and HQ agents supports full path testing (edge-to-edge visibility).
Inside > Out Visibility from the Enterprise
Created reachability tests to Microsoft Teams services, deployed Webex monitoring via templates, and verified end-to-end connectivity in ThousandEyes Test Views
Key Takeaways:
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Manual vs. Template-based Tests: Templates save time and offer additional automation.
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Inside-Out Monitoring allows for precise per-service analysis, especially for voice/video.
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Cross-team collaboration and shared visibility accelerate MTTI (Mean Time to Identify) and MTTR (Mean Time to Resolve).
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Tools like path visualization and MOS scoring simplify root cause analysis for complex multi-hop issues.
Last Mile Assurance - End User Monitoring
Installed and verified ThousandEyes Endpoint Agent, deployed Microsoft Teams and Webex monitoring templates, joined a Webex meeting, and analyzed dynamic test data to identify media server connections
Key Takeaways:
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Endpoint Agents provide last-mile visibility from the user\'s actual device, covering Wi-Fi quality, local DNS, and gateway performance.
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Dynamic tests enable automatic targeting of real media servers, making them highly effective for collaboration apps like Webex, Teams, and Zoom.
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Wi-Fi signal strength and noise levels can have significant impact on real-time apps.
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Tools like interactive snapshots and dynamic views greatly simplify remote troubleshooting.
Remote Access VPN
Used ThousandEyes Cloud Agents to create custom tests to a remote access VPN and Cisco\'s VPN service, then analyzed and investigate SD-WAN overlay and underlay performance using interactive snapshots.
Key Takeaways:
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Outside-In monitoring (Cloud Agent to VPN/remote service) helps assess performance from a public user's perspective.
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Cloud Agents reveal geographically diverse performance across ISPs and regions.
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SD-WAN visibility requires correlation between overlay (logical tunnels) and underlay (physical ISPs).
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Path visualization helps quickly trace packet loss, delay, and bottlenecks.
Snapshots, Alerts and Dashboards
Focus Areas:
🔍 Root cause analysis → Interactive Snapshots
🚨 Custom alerting for Teams → Dashboarding for visibility and operations
Key Takeaways:
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Snapshots: Share root cause insights across teams / vendors.
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Alerts: Real-time notification on voice-impacting conditions.
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Dashboards: Central view of Microsoft Teams experience health.
AI Enhancements (SNEAK PEAK!)
ThousandEyes + AI transforms how teams detect, triage, and communicate digital experience issues using integrated large language models (LLMs), Cisco AI Assistant, and event intelligence tools.
Key Takeaways:
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Proactive Detection: AI spots anomalies early, often before users notice problems.
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Rapid Diagnosis: Instead of digging through logs and data manually, AI quickly narrows down root causes.
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Automated Remediation: Future versions can even trigger fixes or optimizations automatically.
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Shift from Reactive to Predictive: Teams move from firefighting to preventing issues altogether.
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Improved User Experience: Reliable, efficient, and seamless service delivery becomes the norm.
Beyond Today's Lab: Further Use Cases and Resources
While today's lab focused on a few core use cases and scenarios, here are additional key use cases, resources, and share links you can explore to deepen your understanding and expand your knowledge.