Foglight Transaction Recorder

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Synthetic transaction monitoring made easy.

Swiftly detect and solve application performance problems – before they affect end users.



Swiftly detect and solve application performance problems – before they affect end users. Actively monitor synthetic transactions on thin (web) and thick client applications with this powerful synthetic monitoring tool. It allows you to:
  • Oversee and measure application performance and availability
  • Manage and report on service level agreements (SLAs)
  • Experience greater visibility with real-time dashboards and reports
  • Quickly detect and record application outages
  • Separate performance issues by application or geographical location
Intelligent recording
Confirm the authenticity of transactions before they’re flagged for regular monitoring. Plus, record scripts without knowing the programming language or baseline response times.

Logical service and activity grouping
Determine whether users face performance problems due to location (network issues) or the central application infrastructure. Also, monitor services and activity by location or other logical groupings.

Preconfigured and customizable alarms 
Enhance your visibility into performance with preconfigured alarms that can be implemented out of the box. Or customize your alerts based on expected response time, error criteria or other measures.

Service-level policy configuration 
Experience easier configurations with service level policies, as you can trace the availability of an application at hourly, daily, weekly or monthly intervals. Service-level policies are automatically established at the business service level (application factors affecting the established response times for performance) and at the application level (factors affecting application availability for outages).

Integrated diagnostics 
Solve performance issues faster by identifying which part of the transaction triggered the response-time degradation or outage.

Historical reporting and analysis 
Use historical collection and analysis to develop realistic, manageable SLAs at application, geographical and enterprise levels.
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