Observability Platform
Full-stack observability with metrics, logs, traces, and AIOps for rapid troubleshooting.
Duration
5 months
Team Size
4 developers
Industry
DevOps
Category
Cloud & DevOps
Observability Platform
A comprehensive observability stack that unifies metrics, logs, and traces to provide complete visibility into distributed systems.
The Challenge
A SaaS company struggled with troubleshooting:
- Blind spots - Can't see inside microservices
- Slow debugging - Hours to find root cause
- Tool sprawl - Different tools for different data
- Alert fatigue - Too many false positive alerts
They needed unified observability.
Our Approach
We built a modern observability platform based on the three pillars.
Observability Pillars
- Metrics - Quantitative system health
- Logs - Detailed event context
- Traces - Request flow visibility
- Unified View - Correlation across all three
The Solution
Metrics
- Prometheus for collection
- Custom application metrics
- Infrastructure metrics
- SLO dashboards
Logging
- Structured logging standards
- Centralized log aggregation
- Log correlation with traces
- Retention policies
Tracing
- Distributed tracing
- OpenTelemetry instrumentation
- Service dependency maps
- Latency analysis
Alerting
- Multi-signal alerts
- Intelligent grouping
- Escalation policies
- On-call management
Technology Stack
| Layer | Technologies |
|---|---|
| Metrics | Prometheus, Thanos |
| Logs | Loki, Promtail |
| Traces | Jaeger, OpenTelemetry |
| Visualization | Grafana |
| Alerting | Alertmanager, PagerDuty |
| AIOps | Moogsoft |
Results & Impact
The platform transformed operations:
- 80% faster incident resolution
- 95% lower MTTR from hours to minutes
- Single dashboard for all telemetry
- AIOps reducing alert noise by 90%
Platform Features
Correlation
- Trace-to-log linking
- Metric-to-trace correlation
- Error tracking
- User session replay
AIOps
- Anomaly detection
- Alert correlation
- Root cause analysis
- Predictive alerting
Client Testimonial
"We went from spending hours finding issues to resolving them in minutes. The correlation between traces and logs is incredibly powerful for debugging."
— SRE Manager, SaaS Company
Building observability? Contact us to discuss platform implementation.
Key Results
80% faster incident resolution
95% reduction in MTTR
Single pane of glass
AIOps anomaly detection
Technology Stack
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