Site Reliability & Observability Engineering
Embedding Google SRE principles into your production operations — SLO definition, observability stack deployment, incident management, and systematic toil reduction.
Capabilities
What We Deliver
SLO & SLA Definition
Service Level Objective design, error budget policy, and SLA documentation aligned to business and user expectations.
Observability Stack
End-to-end observability — metrics, logs, traces — using Prometheus, Grafana, Loki, Jaeger, and OpenTelemetry.
Incident Management
On-call rotation design, runbook development, post-mortem culture, and blameless retrospective facilitation.
Chaos Engineering
Controlled fault injection using Chaos Monkey, Gremlin, and Litmus to validate resilience before failures happen.
Toil Reduction & Automation
Systematic toil identification, automation via Ansible/Terraform/Bash, and engineering capacity reclaimed.
CI/CD Reliability
Pipeline reliability — deployment frequency, change failure rate, MTTR tracking, and DORA metrics dashboards.
Capacity Planning
Load testing, traffic modelling, auto-scaling policy design, and cost-aware capacity recommendations.
On-Call Management
PagerDuty / OpsGenie configuration, escalation policies, alert fatigue reduction, and on-call tooling.
Observability Engineering
- Metrics — Prometheus, VictoriaMetrics, InfluxDB
- Dashboards — Grafana (with SLO burn-rate alerting)
- Logs — Loki, ELK Stack, Datadog Logs, Splunk
- Tracing — Jaeger, Zipkin, AWS X-Ray
- Instrumentation — OpenTelemetry SDKs across all services
- Synthetic monitoring — Pingdom, Uptime Robot, Checkly
Incident & Change Management
- On-call rotation design and scheduling
- PagerDuty / OpsGenie / VictorOps configuration
- Runbook and playbook development for known incidents
- Blameless post-mortem process and template
- Error budget burn-rate alerting and freeze policies
- Change freeze and release gating integration
Reliability Engineering
- Load and stress testing — k6, Locust, JMeter
- Chaos experiments — Chaos Monkey, Litmus, Gremlin
- Auto-scaling — HPA, KEDA, AWS Auto Scaling
- Multi-region and multi-AZ architecture review
- Database connection pooling and failover testing
- DORA metrics — deployment frequency, MTTR, change failure rate
Key Benefits
Technologies & Platforms
Ready to Get Started?
Talk to our experts and get a tailored solution for your business needs.