SLT-MOBITEL Digital Labs - DevOps & Observability
Provided sub-second visibility into system health, reducing MTTR (Mean Time to Recovery)
Overview
Modernized internal infrastructure monitoring at SLT-MOBITEL Digital Labs
Problem
The engineering team lacked real-time visibility into system health, making it difficult to detect and resolve issues before they impacted users. Outages often went unnoticed for extended periods.
Constraints
- Integration with existing infrastructure
- Minimal performance overhead
- 24/7 monitoring requirements
- Training for team members
Approach
Implemented Docker for containerization and Grafana for system-wide observability. Created comprehensive dashboards and alerting systems for proactive monitoring.
Key Decisions
Prometheus + Grafana stack
Industry-standard, open-source solution with extensive community support
- Commercial monitoring tools
- ELK Stack
Custom dashboard templates
Ensured consistency and quick onboarding for different team members
- Generic dashboards
- Third-party templates
Tech Stack
- Docker
- Prometheus
- Grafana
- Linux
- Node Exporter
- cAdvisor
Result & Impact
- 100% of critical servicesMonitoring Coverage
- 65% faster recoveryMTTR Improvement
- Under 30 secondsAlert Response Time
Transformed the team's ability to detect and respond to issues, significantly reducing system downtime and improving overall reliability.
Tech Stack
Learnings
- Observability is more than monitoring—it's about understanding system behavior
- Custom dashboards need continuous refinement based on team needs
- Documentation enables team-wide adoption
Project Details
As a DevOps intern at SLT-MOBITEL Digital Labs, I was tasked with modernizing the company’s approach to infrastructure monitoring. This project exposed me to enterprise-grade observability requirements and helped me develop critical DevOps skills.
Key Features
- Real-time Dashboards: Custom Grafana dashboards for all critical services
- Alert Management: Automated alerts for performance degradation
- Log Aggregation: Centralized logging for troubleshooting
- Custom Metrics: Application-specific metrics tracking
- Incident Response: Automated Runbooks for common issues
Technical Implementation
Implemented a complete observability stack using Docker containers, Prometheus for metrics collection, and Grafana for visualization. Created custom exporters for application-specific metrics and integrated with existing infrastructure.