TRIRIGA APM Solution
powered by Slate Fire INFINITY
Features and Benefits:
TRIRIGA APM Solution was designed specifically to provide visibility for your entire TRIRIGA ecosystem. Upon implementation, a snapshot of your TRIRIGA ecosystem is taken and written to the INFINITY Database which creates a baseline for your TRIRIGA and all associated processes. Data service agents are constantly communicating from every TRIRIGA instance connected to the Master server and back to the INFINITY Database. The TRIRIGA Dashboard reveals system metrics to Administrators who gain valuable insight and make informed decisions. Reduce project costs by predicting application consumption or identifying performance issues.
Administrators are enabled to make assessments and manage issues from one TRIRIGA Dashboard. Take control of your TRIRIGA ecosystems!
INFINITY APM Dashboard
One TRIRIGA Dashboard:
Manage, Monitor, Metrics, Analytics, Reports
TRIRIGA APM Solution
Purchase Options for:
On-premises, Enterprise Cloud or Hybrid
Fully hosted by Slate Fire also available upon request.
TRIRIGA APM Solution
Administrator Dashboard
per License Agreement
USD billed annually
TRIRIGA APM Solution
Viewer Dashboard
per License Agreement
USD billed annually
What can TRIRIGA APM Solution do for your Enterprise?
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One TRIRIGA Dashboard
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Runtime Application Architecture
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End User Experience
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Business Logic Transactions
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Deep Dive Module Monitoring
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Metrics, Analytics & Reporting
TRIRIGA APM Solution
What is APM?
APM (Application Performance Management) is the monitoring and management of performance and availability of software applications. APM strives to detect and diagnose complex application performance problems to maintain an expected level of service. APM is "the translation of IT metrics into business meaning ([i.e.] value).
Two sets of performance metrics are closely monitored. The first set of performance metrics defines the performance experienced by end users of the application. One example of performance is average response times under peak load. The components of the set include load and response times.
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The load is the volume of transactions processed by the application, e.g., transactions per second (tps), requests per second, pages per second. Without being loaded by computer-based demands for searches, calculations, transmissions, etc., most applications are fast enough, which is why programmers may not catch performance problems during development.
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The response times are the times required for an application to respond to a user's actions at such a load.
The second set of performance metrics measures the computational resources used by the application for the load, indicating whether there is adequate capacity to support the load, as well as possible locations of a performance bottleneck. Measurement of these quantities establishes an empirical performance baseline for the application. The baseline can then be used to detect changes in performance. Changes in performance can be correlated with external events and subsequently used to predict future changes in application performance. In addition to measuring response time for a user, response times for components of an application can also be monitored to help pinpoint causes of delay.