Multi-Cloud Infrastructure Monitoring
Kenya's fastest-growing telecom operator was struggling with infrastructure visibility. Their hybrid environment — spanning two AWS regions, an Azure tenant, and three on-premises data centers in Nairobi and Mombasa — had grown organically without unified monitoring. Network outages were taking an average of 4 hours to diagnose, with customer-facing impact measured in millions of KES per incident.
We deployed a full-stack observability platform combining OpManager for network device monitoring, Site24x7 for cloud and application performance, and NetFlow Analyzer for bandwidth intelligence. The platform auto-discovered 15,000+ endpoints and mapped dependencies across the entire hybrid estate within 72 hours of deployment.
Key Deliverables
- Auto-discovery and topology mapping of 15,000+ network devices
- Cloud observability across AWS, Azure, and on-premises with unified dashboards
- AIOps-driven root cause analysis reducing MTTR by 70%
- Predictive capacity planning with 2-week advance warning
AIOps-driven root cause analysis reduced mean-time-to-resolution by 70%, from 4 hours to under 45 minutes. Predictive analytics identified capacity bottlenecks 2 weeks before they impacted service, enabling proactive scaling. The platform now processes 50 million metrics per day with sub-second dashboard refresh rates.
Technologies Used
- OpManager
- Site24x7
- NetFlow Analyzer
- AWS
- Azure
Project Details
