Overview
We build the engineering systems that let your team ship fast and safely. Our DevOps practice covers Infrastructure-as-Code (Terraform, Pulumi, CloudFormation), containerised workloads (Docker, Kubernetes, ECS, EKS, AKS, GKE), CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, ArgoCD), GitOps workflows, and internal developer platforms (Backstage, custom portals).
We also implement Site Reliability Engineering (SRE) practices — SLI/SLO definition, error budgets, chaos engineering, incident response runbooks and on-call automation. Monitoring and observability covers metrics (Prometheus, Grafana, CloudWatch), logs (ELK, Loki, CloudWatch Logs), traces (Tempo, Jaeger, X-Ray) and alerting with intelligent routing.
How AI Powers This Service
AI-augmented platform operations:
• Intelligent Alert Correlation — ML groups related alerts and reduces noise
• Predictive Failure Detection — anomaly detection on metrics and logs
• Automated Runbook Execution — AI-suggested remediation steps
• Deployment Risk Scoring — AI evaluates change risk before merge
• Developer Productivity Analytics — actionable insights from DORA metrics