Infrastructure as product, not as scripts.
Most platform teams inherit three generations of ad-hoc infrastructure. We help teams treat the platform itself as a product with users, SLAs, and a roadmap — not a shared spreadsheet of tribal knowledge.
Cloud, DevOps & platform engineering
Cloud architecture (AWS, Azure, GCP), container and serverless delivery, IaC (Terraform, Pulumi), CI/CD, observability, and the platform-engineering practices that make all of it developer-usable rather than just operator-manageable.
Fit signals.
- Your deploy pipeline takes hours, fails unpredictably, and nobody wants to own it
- You're scaling past 30 engineers and the 'one person who knows the infra' pattern is breaking
- Cloud costs are growing faster than the business and nobody can say why
- You're adopting Kubernetes and want to avoid the two-year stabilization tax
- Observability is three disconnected tools and an incident takes hours to diagnose
What we deliver in Cloud & DevOps.
Every capability below is practiced across multiple production engagements — not a scoping checklist.
Cloud architecture
- AWS (primary), Azure, GCP — multi-cloud where it earns the complexity
- Landing zones, account structures, network design
- Serverless-first for event-driven work, containers for everything else
- Cost visibility + FinOps practices from day one
Infrastructure as code
- Terraform (primary), Pulumi, CDK
- Modular patterns with shared libraries and versioning
- GitOps workflows — Atlantis, Terragrunt, Terraform Cloud
- Drift detection + policy-as-code (OPA, Checkov, Sentinel)
Containers & Kubernetes
- EKS, AKS, GKE — managed by default
- Service mesh only when it earns the cost
- ArgoCD / Flux for deployment
- Pod security, network policies, secrets management that actually works
Observability & SRE
- OpenTelemetry as the default instrumentation story
- Datadog, Grafana, Honeycomb, Splunk — picked by use case
- SLO definition + error budgets + real alerting hygiene
- Incident response + postmortem culture
The shapes this work
usually takes.
Platform rebuild
Typical: 14–24 weeks. IaC, pipelines, observability, and developer experience shipped together.
Cloud cost optimization
Typical: 8–12 weeks. Audit + quick wins + sustained practices. 20–40% savings are common.
Kubernetes adoption
Typical: 12–18 weeks. Managed K8s with sane defaults, IaC, and a team-ready runbook.
Platform managed service
Monthly. Platform-team extension, on-call assistance, roadmap facilitation.
Pitfalls we've seen
and how we avoid them.
Kubernetes for the sake of it
Teams adopt K8s before they need it and spend a year stabilizing. We'll tell you when a managed PaaS (Fly, Render, ECS) beats K8s.
Observability without SLOs
Dashboards everywhere, nobody on call for anything specific. SLOs give observability a purpose.
IaC as a side project
IaC written but not enforced. Drift accumulates. We make it the only deployment path, not one of several.
FinOps as an after-the-fact surprise
Cost alerts retrofitted after a billing shock. Tags + budgets + policy-as-code in week one.
Common questions about Cloud & DevOps.
We support it; we don't recommend it by default. Multi-cloud earns its complexity for specific regulated or sovereignty requirements, not for vendor-leverage reasons. Most of our engagements are AWS-primary.
Cloud & DevOps on your roadmap?
Thirty minutes with Kabir. Architecture sketch, candid second opinion, scope estimate — no slides.
Book the call