Logo
  • Cases & Projects
  • Developers
  • Contact
Sign InSign Up

© Copyright 2025 Many.Dev. All Rights Reserved.

Product
  • Cases & Projects
  • Developers
About
  • Contact
Legal
  • Terms of Service
  • Privacy Policy
  • Cookie Policy
Azure Cloud Monitoring Optimization and Incident Management System
  1. case
  2. Azure Cloud Monitoring Optimization and Incident Management System

This Case Shows Specific Expertise. Find the Companies with the Skills Your Project Demands!

You're viewing one of tens of thousands of real cases compiled on Many.dev. Each case demonstrates specific, tangible expertise.

But how do you find the company that possesses the exact skills and experience needed for your project? Forget generic filters!

Our unique AI system allows you to describe your project in your own words and instantly get a list of companies that have already successfully applied that precise expertise in similar projects.

Create a free account to unlock powerful AI-powered search and connect with companies whose expertise directly matches your project's requirements.

Azure Cloud Monitoring Optimization and Incident Management System

trigent.com
Education
Information technology

Business Challenges

The organization faces critical challenges in maintaining system reliability and customer experience due to: 1) Lack of dedicated Azure monitoring infrastructure causing performance degradation, 2) Manual incident tracking processes creating operational inefficiencies, 3) Insufficient visibility into system performance metrics, and 4) DevOps teams being diverted from core development tasks to handle monitoring responsibilities.

About the Client

Digital learning platform connecting learners, talent developers, and organizations for skill development and career advancement

Project Goals

  • Implement 24/7 proactive cloud monitoring system for Azure environment
  • Establish automated alert escalation pathways
  • Create comprehensive performance visualization dashboards
  • Improve system uptime to 99.95%
  • Reduce DevOps team monitoring workload by 70%

System Capabilities

  • Continuous Azure resource monitoring with anomaly detection
  • Automated alert generation and prioritization
  • Interactive Datadog dashboards for performance metrics visualization
  • Jira-based incident tracking and resolution workflow
  • Root cause analysis tools with log correlation capabilities
  • Runbook automation for common issue resolution
  • Cross-team collaboration interface for escalations

Technology Stack

Microsoft Azure
Datadog
Jira Service Management
Azure Monitor
Power BI
Azure DevOps

System Integrations

  • Azure Active Directory for authentication
  • Jira API for ticketing integration
  • Datadog API for metric visualization
  • Azure Automation for Runbook execution
  • Microsoft Teams for alert notifications

Operational Requirements

  • 99.99% system availability for monitoring components
  • Real-time monitoring with <1 second latency
  • Support for 10,000+ concurrent monitoring metrics
  • Role-based access control (RBAC) implementation
  • GDPR-compliant data handling
  • Horizontal scalability for future growth

Business Value

The implementation will deliver: 1) 40% reduction in system downtime through proactive monitoring, 2) 25% improvement in DevOps team productivity by freeing core development resources, 3) Enhanced customer experience for 5M+ users through improved service reliability, 4) Data-driven capacity planning through performance trend analysis, and 5) Strengthened SLA compliance with enterprise clients through guaranteed service availability metrics.

More from this Company

Unified Air Freight API Integration Platform
Development of Cloud-Enabled Fleet Monitoring Solution with Real-Time Video Telematics
Next-Generation Visitor Management System with Integrated QA for Enhanced School Security
Development of a Custom DICOM Image Viewer Web Application for Enhanced Clinical Workflow and Collaboration
Modernization of Sales Portal for Global Brewing Leader to Enhance Collaboration and Operational Efficiency