ABOUT THE CLIENT
A logistics company with 500+ servers and no centralized monitoring – reactive IT discovering issues only when customers complained.
THE CHALLENGE
- 500+ servers across 12 distribution centers with no centralized monitoring visibility
- Issues discovered by end users hours after they started impacting shipping operations
- Each site had different monitoring tools making troubleshooting inconsistent
- No predictive capabilities meant all maintenance was reactive and disruptive
- Alert fatigue from noisy monitoring causing real issues to be missed
THE SOLUTION
Comprehensive monitoring with CloudWatch, Grafana, and PagerDuty for real-time visibility and predictive alerting.
- CloudWatch | Grafana | PagerDuty | Lambda | SNS | Anomaly Detection
Technical Implementation
- Deployed CloudWatch Agent across all 500+ servers with standardized metric collection
- Built Grafana dashboards with real-time visibility into all distribution center operations
- Implemented CloudWatch Anomaly Detection for predictive alerting on key metrics
- Configured PagerDuty integration with intelligent alert routing and escalation policies
- Created Lambda functions for automated remediation of common issues
- Established NOC runbooks and trained operations team on new monitoring platform
RESULTS & BUSINESS IMPACT
92%
Faster Issue Detection
92%
Faster Issue Detection
500+
Servers Under Single Pane of Glass
500+
Servers Under Single Pane of Glass
Predictive
Alerting Prevents Outages
Predictive
Alerting Prevents Outages
80%
Reduction in Alert Noise
80%
Reduction in Alert Noise
TECHNOLOGY STACK
AWS CloudWatch | Grafana | PagerDuty | Lambda | SNS
Monitoring
Docker Swarm Cluster with 24/7 Monitoring
Deployed a 3-node Docker Swarm cluster with load balancing and comprehensive monitoring using Prometheus, Grafana, and PRTG.
Key Stat
24/7 Availability
Tech Stack
Docker | Docker Swarm | Prometheus | Grafana | PRTG
