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Multi-Cloud Architecture

Environments designed for the traffic you'll actually get โ€” not a diagram that only survives the pitch deck. AWS, Azure, or GCP, whichever fits your stack.

AWSAzureGCPVPCRDS

Kubernetes & Containers

Production-grade EKS clusters with autoscaling, resource limits, and rollout strategies that don't wake anyone up.

EKSDockerHelm

CI/CD Automation

Push-to-deploy pipelines with tests, approvals, and rollback built in from day one, not bolted on after an incident.

GitHub ActionsJenkinsGitLab CI

Infrastructure as Code

Every resource in version control. No console clicks, no "who changed this" โ€” just a diff and a plan.

TerraformCloudFormationAnsible

Observability & Monitoring

Dashboards and alerts tuned to signal, not noise โ€” so the pager only rings for things worth waking up for.

PrometheusGrafanaELK

Security & Reliability

Hardened networking, least-privilege IAM, and incident runbooks written before you need them, not during.

IAMNetworkingRunbooks
Under the hood

What a request actually touches.

Not a slide-deck box diagram โ€” this is the real path traffic takes in production, plus the pipeline that ships changes and the loop that watches it all.

Clientbrowser / app Route 53DNS CloudFrontCDN + WAF ALBload balancer EKS Cluster api worker cache autoscaled pods RDSPostgres, multi-AZ ElastiCacheRedis edge compute data git pushmain branch GitHub Actionsbuild ยท test ECRimage registry Terraform / Helmplan โ†’ apply ship Prometheusmetrics scrape Grafanadashboards Alertmanagerโ†’ on-call phone observe
Compute path โ€” where the request actually runs
Delivery path โ€” how a merged PR reaches production
Feedback path โ€” how we know it's healthy at 3am
Not sure which service fits?

Tell me what's breaking. I'll tell you how to fix it.

Free 30-minute infra audit โ€” no pitch deck, just a straight read on your setup and where the risk sits.