Transforming Fragmented Monitoring into a Unified, Intelligent System

The Challenge

Different teams relied on different tools to monitor their workloads:

• CloudWatch alarms for AWS services
• Prometheus alerts for applications
• Custom scripts for legacy tools

This fragmentation created serious operational challenges:

• Alarms were frequently missed
• No single place to see all incidents
• Delays in troubleshooting due to missing documentation
• Manual ticket creation slowed down response time

We needed a centralized alerting system that could collect all alarms, enrich them, notify the right teams, and create tickets automatically.

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Our Solution

We developed an event-driven monitoring platform—a “LogicMonitor”—that acts as the nerve center for incident management.

It performs four essential duties:

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1. Collect Alarms From Multiple Systems

We created a unified ingestion model where:

• CloudWatch sends alarms to SNS/EventBridge
• Prometheus sends alerts via webhooks
• Application systems publish events via SQS/SNS

All of these go into a centralized event bus.

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2. Smart Consumer Processing

A single Lambda consumer processes alarms from all sources.
For every alert, it:

• Identifies the service, severity, and environment
• Attaches troubleshooting guides
• Determines which team to notify
• Logs the incident for auditing

This removed manual triaging.

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3. Automated Team Notifications

Depending on severity and service, alerts were forwarded to:

• Slack channels
• Microsoft Teams groups
• Email distribution lists

Teams received instant and context-rich notifications.

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4. Automatic Ticketing

For critical issues, the system automatically created tickets in Jira including:

• A link to the alarm
• Steps to reproduce
• Troubleshooting documentation
• Service metadata

This reduced human error and improved response times.

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How We Contributed

Our involvement covered architecture, development, and operational rollout:

Event-Driven Architecture

• Designed the ingestion pipelines using Event Bridge, SNS, and SQS
• Built the Lambda consumer to unify alarms across CloudWatch and Prometheus
• Created enrichment logic (service metadata + documentation)

Automation & Integration

• Integrated Slack/MS Teams using webhook APIs
• Automated ticket creation in Jira for critical alarms
• Implemented audit logging in CloudWatch & DynamoDB

Dashboards & Insights

• Built CloudWatch dashboards for:
  
  • Alarm frequency
  • Severity distribution
  • MTTR measurement
  • Trending issues

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The Impact

✔ All alarms from CloudWatch, Prometheus, and applications now visible in one place

✔ Over 90% reduction in missed alarms

✔ Incident response time improved significantly (lower MTTR)

✔ Automatic ticketing ensured issues were tracked and resolved consistently

✔ Operational workload reduced due to automation

This centralized platform became the single source of truth for monitoring across multiple teams.