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Development of a Real-Time IT Infrastructure Monitoring and Asset Management System
  1. case
  2. Development of a Real-Time IT Infrastructure Monitoring and Asset Management System

Development of a Real-Time IT Infrastructure Monitoring and Asset Management System

edvantis.com
Information technology
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Identifying Critical Challenges in Enterprise IT Infrastructure Monitoring

The client faces significant challenges in maintaining visibility over their large-scale IT infrastructure. Long development cycles, stability issues, and lack of real-time data synchronization hinder effective monitoring, incident response, and data visualization. These inefficiencies risk system downtimes and delayed decision-making, impacting overall service quality to a broad customer base, including large enterprise clients.

About the Client

A mid-to-large sized enterprise that manages extensive IT networks across various locations, requiring comprehensive monitoring, analytics, and automation tools to ensure system stability and performance.

Goals for Enhancing IT Infrastructure Monitoring and Asset Management

  • Implement a consolidated command center capable of real-time monitoring of up to 100 servers and multiple client instances.
  • Develop a stable and scalable system for performance data collection and visualization, including customizable templates and cross-instance analysis.
  • Ensure seamless synchronization between monitoring consoles and remote infrastructure with minimal latency.
  • Create specialized modules or agents to gather system health metrics from virtual machines, servers, and devices, with high reliability.
  • Support integration with existing and future system modules for enhanced network, server, and application performance monitoring.
  • Automate simulation of system failure scenarios and facilitate regression testing for system updates.
  • Migrate system code to modern frameworks for improved compatibility and maintainability.
  • Provide ongoing technical support and iterative feature enhancements, including security improvements and bug fixes.

Core Functional Requirements for an Enterprise Monitoring Solution

  • Real-time data retrieval from remote instances via API integration.
  • Prebuilt global report templates and customizable dashboards.
  • Multi-instance data visualization with filters and search functionality.
  • Built-in asset explorer for quick asset identification and management.
  • Advanced UI filtering options for detailed analysis.
  • Seamless integration with various monitoring modules for network, server, and application metrics.
  • Specialized agent modules installed on servers and devices for health data collection.
  • Simulation and automation tools for system failure scenarios.
  • Migration capabilities to transition existing system components to newer frameworks.
  • Level 3 technical support for ongoing product improvements and bug resolution.

Preferred Technologies and Architectural Frameworks

.NET Framework and .NET Standard 2.0 for backend system development
C#, C++, TypeScript, Angular for UI and application logic
Modernized APIs for system integration and data synchronization
Secure, scalable cloud or on-premise deployment environments

Essential External System Integrations

  • APIs for remote system data collection
  • Existing modules for network, server, and application performance monitoring
  • Asset management and alerting systems

Critical Non-Functional System Requirements

  • High availability and system reliability to support real-time data processing
  • Optimal performance with low latency under peak loads
  • Robust security protocols to protect sensitive infrastructure data
  • Scalability to accommodate increasing number of servers and data sources
  • Maintainability through modular architecture and clear code standards

Expected Business Impact and Project Benefits

The development of this comprehensive monitoring platform is expected to enable the client to reduce infrastructure downtime, improve decision-making speed through real-time insights, enhance asset management efficiency, and support scalable growth. The system aims to deliver timely alerts, detailed visual analytics, and automated testing workflows, ultimately leading to improved service reliability and customer satisfaction.

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