Engineering Service

SRE & Operational Excellence

Build reliable systems that operate themselves. SRE practices, observability, incident management, and operational excellence.

SRE & Operational Excellence

Build Systems That Stay Up and Scale Gracefully

Downtime costs money, frustrates customers, and damages reputation. We implement Site Reliability Engineering (SRE) practices that improve reliability, reduce incidents, and enable teams to move faster while maintaining stability.

From our experience running production systems serving millions of users, we help organizations adopt SRE principles, implement observability, establish incident management processes, and build cultures of reliability.

What We Deliver

Observability & Monitoring

  • Metrics collection and visualization (Prometheus, Grafana, Datadog)
  • Distributed tracing for microservices (Jaeger, Tempo, Zipkin)
  • Log aggregation and analysis (ELK, Loki, CloudWatch)
  • Application performance monitoring (APM)
  • Real User Monitoring (RUM) and synthetic monitoring
  • Custom dashboards for business and technical metrics

SRE Practices & Culture

  • Service Level Objectives (SLOs) and Service Level Indicators (SLIs)
  • Error budgets and reliability targets
  • Toil automation and reduction
  • Blameless postmortems and incident reviews
  • On-call rotation design and improvement
  • SRE team structure and responsibilities

Incident Management

  • Incident response playbooks and runbooks
  • Alerting strategy and notification routing
  • PagerDuty/OpsGenie/VictorOps integration
  • Incident command structure and roles
  • Post-incident review processes
  • Incident metrics and reporting

Reliability Engineering

  • Chaos engineering and resilience testing
  • Failure mode analysis and mitigation
  • Circuit breakers and retry logic
  • Rate limiting and throttling
  • Disaster recovery planning and testing
  • Business continuity strategies

Performance Optimization

  • Application performance profiling
  • Database query optimization
  • Caching strategies (Redis, Memcached, CDN)
  • Load testing and capacity planning
  • Infrastructure right-sizing
  • Cost optimization while maintaining performance
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