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.
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:
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.
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.
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.
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.
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
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.