Client Overview

Industry: Financial Services

Objective: Establish a proactive monitoring and alerting system to detect system failures, performance bottlenecks, and security threats in real time.

Challenge: Lack of centralized visibility across on-premises and AWS cloud environments led to delayed incident detection, prolonged downtimes, and compliance risks.

Informatrix IT Team Role

Function: Informatrix IT Solutions Private Limited, specializing in infrastructure monitoring, cloud operations, and 24/7 incident management.

Goal: Implement a robust, hybrid monitoring and alerting system with real-time dashboards, intelligent alerts, and end-to-end observability across critical business applications and infrastructure.

Project Approach and Key Actions

1. Assessment and Monitoring Requirements Gathering

  • Collaborated with the client’s IT and DevOps teams to identify key performance indicators (KPIs), business-critical services, and compliance-sensitive resources.

  • Scoped both on-premise systems and AWS workloads, including EC2, RDS, Lambda, and VPC networking.

2. Monitoring Infrastructure Setup

  • Deployed Prometheus for metrics collection from cloud-native services and Linux-based workloads.

  • Installed Nagios for legacy system health checks and service uptime monitoring on-premises.

  • Used AWS CloudWatch for real-time log ingestion, system metrics, and AWS-native alarms (EC2, RDS, ELB, etc.).

3. Visualization and Alerting Framework

  • Integrated Grafana with Prometheus and CloudWatch to build unified dashboards covering system health, API latencies, database performance, and resource utilization.

  • Configured custom Grafana alerts for threshold breaches, performance degradation, and disk usage anomalies.

  • Set up CloudWatch Alarms and EventBridge rules to trigger automated notifications and Lambda-based remediation workflows.

4. Alert Management and Incident Response

  • Built an escalation matrix that routed alerts via email, Slack, and SMS based on severity and time of day.

  • Integrated with PagerDuty for automatic incident creation and response tracking for critical issues.

  • Ensured alerts were actionable, reducing noise by filtering low-priority metrics and using anomaly detection.

5. Post-Implementation Support and Training

  • Conducted knowledge transfer sessions with the internal operations team to manage dashboards, thresholds, and alert tuning.

  • Provided SOPs for dashboard maintenance and incident response workflows.

  • Established weekly performance reports and SLA adherence metrics using Grafana reporting plugins.

Results and Outcomes

  • Real-Time Visibility: Achieved 100% monitoring coverage of cloud and legacy environments, reducing detection time from hours to under 5 minutes.

  • Faster Incident Resolution: MTTR (Mean Time To Resolution) improved by 62%, enabling teams to resolve issues before users were impacted.

  • Operational Efficiency: Alert fatigue reduced by 40% through smarter alert design, anomaly-based triggers, and escalation logic.

  • Proactive Monitoring Culture: Internal teams gained confidence in identifying performance trends and preventing outages proactively.

Key Takeaways

  • Unified Observability Matters: Combining tools like Prometheus, CloudWatch, and Grafana provided holistic infrastructure visibility.

  • Automation Reduces Downtime: Automated alerting and remediation workflows minimized manual interventions.

  • Culture Shift Toward Reliability: The project instilled a proactive monitoring mindset and empowered teams to own system reliability.