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Proactive Monitoring Tool

Revolutionize Pega Application Support with Centralized, Precise, and Automated Monitoring!
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Overview

The Proactive Monitoring Tool (PMT) is designed to enhance the efficiency of support teams managing Pega applications by centralizing all monitoring activities into a sleek, user-friendly solution. PMT seamless integration with all Pega applications provide a single-view portal and eliminates the hassle of juggling multiple tools and enables support engineers to significantly reduce response times and enhance operational efficiency. Our solution provides a detailed view of application bottlenecks, user loads, and system performance during peak and non-peak hours. It can be deployed on any version of the Pega Platform with zero customization, leveraging Pega's OOTB APIs to gather data at defined intervals. The configuration component allows for KPI customization according to the application's needs. The self-healing and proactive capabilities are powered by AI operations. Additionally, the solution integrates with any thread dump analyser to offer Gen AI and thread dump analysis.

Key Features

  • Streamlined Monitoring for Enhanced Efficiency: Consolidates the monitoring of multiple applications into a single platform, enhancing efficiency and reducing response times
  • AI-powered Log Analyzer: Generates log summaries and suggests the next course of action for the support team.
  • Integrated Thread Dump Analysis: Integrates with third-party applications for thread dump analysis.
  • Automated Notification and Task Management: Automatically triggers a task to support engineer when an issue is detected.
  • Comprehensive Component Monitoring: Offers detailed monitoring for specific application components like Queue Processors, Job Schedulers, Agents, Listeners, and other application components.
  • Configurable Portals and Flexible Data: Refresh Fully customizable portals with periodic and on-demand data refreshes.

Resources

=Larsen & Toubro Infotech Ltd (L&T Infotech)

Partner Name

LTIMindtree


Tags


Offering Type

Component
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