Monitoring Third-Party Applications
Apply the platform best practices to specific SaaS applications, with dedicated guides for Microsoft 365, Microsoft Teams, Salesforce, Slack, Webex Meetings and Calling, and Zoom. Some articles apply platform concepts like hub-and-spoke agent placement to the application you want to monitor.
Available Guides
Why use this: Outlines strategies for tracking connectivity to Exchange, SharePoint, and Teams, providing early warning for service degradations.
What this is for: Responding to user connection tickets and ensuring comprehensive monitoring coverage.
Why use this: Focuses on real-time audio and video performance metrics.
What this is for: Applying first-call resolution strategies for call quality complaints and isolating faults.
Why use this: Provides best practices for tracking SaaS login and critical transaction flows.
What this is for: Tracking vendor SLAs and securing reliable application connectivity.
Why use this: Details hub-and-spoke monitoring architectures and API endpoint tracking techniques.
What this is for: Configuring and scaling monitoring coverage across distributed enterprise environments.
Monitoring Webex Meetings with Endpoint Agents
Why use this: Focuses on user session views and local network statistics to pinpoint exactly where meeting traffic is dropping (e.g., VPN vs. Wi-Fi).
What this is for: Troubleshooting meeting quality for individual remote users.
Why use this: Discusses VoIP traffic prioritization, DSCP tagging, and QoS metrics.
What this is for: Gaining precision in test configuration and tracking voice-quality symptoms.
Monitoring Webex Meetings with Cloud and Enterprise Agents
Why use this: Explains the deployment of external and internal vantage points around Webex infrastructure.
What this is for: Managing mass deployment of agents and network topology planning.
Why use this: Gives best practices for understanding Zoom's distributed architecture and mapping user symptoms to specific network path hops.
What this is for: Gathering evidence to quickly isolate issues across distributed architectures.
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