What you get
Week 1: Metrics & dashboards
- Prometheus or Datadog: Metrics collection
- Grafana dashboards: System and application metrics
- Golden signals: Latency, traffic, errors, saturation
- Infrastructure monitoring: CPU, memory, disk, network
- Custom metrics: Application-specific KPIs
- Historical data: 30-day retention (configurable)
Week 2: Logging & tracing
- Centralized logging: ELK Stack, Loki, or CloudWatch
- Log aggregation: From all services and infrastructure
- Structured logging: JSON format with context
- Distributed tracing: Jaeger or AWS X-Ray
- Trace-based debugging: Find slow requests and errors
- Log-based alerts: Critical error notifications
Week 3: Alerting & SLOs
- Alerting rules: Critical issues to Slack/PagerDuty
- SLO definition: Service Level Objectives for key services
- Error budgets: Track reliability over time
- On-call runbooks: Step-by-step troubleshooting guides
- Incident templates: Post-mortem and RCA formats
- Team training: Using observability tools
Deliverables
- Metrics platform (Prometheus/Datadog + Grafana)
- Logging platform (ELK/Loki/CloudWatch)
- Distributed tracing (Jaeger/X-Ray)
- Custom dashboards (5-10 dashboards)
- Alerting rules and integrations
- SLO definitions and error budgets
- On-call runbooks (5-10 scenarios)
- Team training (1 day)
- 30 days post-launch support
Technology stack
We support multiple platforms:
Open source:
- Prometheus + Grafana + Loki + Jaeger
- ELK Stack (Elasticsearch, Logstash, Kibana)
- OpenTelemetry for instrumentation
SaaS:
- Datadog
- New Relic
- Honeycomb
- Grafana Cloud
Cloud-native:
- AWS CloudWatch + X-Ray
- Azure Monitor + Application Insights
- Google Cloud Operations (Stackdriver)
Why observability matters
Without proper observability, you’re flying blind:
- Can’t diagnose production issues quickly
- No visibility into user experience
- Unclear if deployments cause problems
- Reactive instead of proactive
- Long MTTR (Mean Time To Resolve)
With observability:
- Diagnose issues in minutes, not hours
- Understand user experience in real-time
- Confidently deploy with instant feedback
- Proactive alerts before users complain
- 10x faster incident resolution
Ideal for
- Teams with limited monitoring beyond basic health checks
- Companies scaling and needing better visibility
- Organizations with frequent production incidents
- DevOps teams building on-call rotation
- Companies needing compliance audit trails
Prerequisites
- Applications deployed in cloud or on-prem
- Access to application logs and metrics
- Ability to instrument code (we can help)
- Slack or PagerDuty for alerting (optional)
Timeline
3 weeks from kick-off to production
Pricing
$30,000 fixed price
Includes:
- Platform setup and configuration
- Custom dashboards and alerts
- Instrumentation assistance
- Documentation and runbooks
- Team training
- 30 days support
Note: Does not include SaaS subscription costs (Datadog, etc.) if applicable
What happens after?
- Your team uses observability tools daily
- Incidents get resolved 10x faster
- You track SLOs and error budgets
- We provide 30 days of support
- Optional: Observability office hours
Success metrics
- 100% of services instrumented
- Mean Time To Detection (MTTD) < 5 minutes
- Mean Time To Resolve (MTTR) < 30 minutes
- SLOs defined for all critical services
- Zero alert fatigue (actionable alerts only)