Technologies
The stack we run in production
Each page covers how we build with the tool, a reference architecture, how it scales, and the questions buyers actually ask — with honest answers, including "you might not need this yet."
AWS
We design, build, and run production AWS infrastructure for funded startups: VPC and account architecture, ECS or EKS, RDS, CI/CD, monitoring, and cost control — all as Terraform in your own AWS accounts.
How we run AWS →
Google Cloud
We build and operate production Google Cloud infrastructure: Cloud Run and GKE, Cloud SQL, VPC design, CI/CD, and cost control — delivered as Terraform in your own GCP projects.
How we run Google Cloud →
Azure
We build and run production Azure infrastructure: Container Apps and AKS, Azure SQL and Postgres Flexible Server, landing-zone architecture, CI/CD, and cost control — all as Terraform in your own subscriptions.
How we run Azure →
Kubernetes
We set up, upgrade, and rescue production Kubernetes: EKS, GKE, and AKS clusters with autoscaling, GitOps deploys, and monitoring a small team can actually operate.
How we run Kubernetes →
Terraform
We write, restructure, and rescue Terraform: module architecture, remote state done safely, drift eliminated, and plan-on-PR wired into CI.
How we run Terraform →
Docker
We containerize applications properly: small, secure, fast-building images with multi-stage builds, sane local development, and CI pipelines that build in seconds instead of tens of minutes.
How we run Docker →
Argo CD
We implement GitOps with Argo CD: git as the single source of truth for what runs in your cluster, automatic drift correction, and rollbacks that are just a revert.
How we run Argo CD →
Karpenter
We implement Karpenter on EKS: just-in-time nodes sized to actual pod requirements, spot instances with graceful interruption handling, and automatic consolidation when load drops.
How we run Karpenter →
Prometheus & Grafana
We build monitoring startups actually use: Prometheus metrics with sane retention, Grafana dashboards showing uptime, latency, errors, and spend on one screen, and alerts that page only when users feel something.
How we run Prometheus & Grafana →
GitHub Actions
We build CI/CD on GitHub Actions that ships every merge safely: build-test-deploy pipelines with real caching, OIDC authentication to your cloud (no long-lived secrets), preview environments per PR, and rollback as one command.
How we run GitHub Actions →
Helm
We build and untangle Helm charts: one maintainable chart per service pattern, values layered cleanly across environments, and charts wired into Argo CD so releases are declarative.
How we run Helm →
MongoDB
We design, tune, and scale MongoDB: schema patterns that match your query shapes, indexes that make p95s boring, Atlas configured for HA without the runaway bill, and honest guidance on when sharding is real and when it's premature.
How we run MongoDB →
Jenkins
We do both honest halves of Jenkins work: stabilizing and modernizing the Jenkins you have (pipeline-as-code, plugin hygiene, ephemeral agents), and executing clean migrations to GitHub Actions when that's the right call.
How we run Jenkins →
Ready to stop worrying about your infrastructure?
A 15-minute call is enough to tell you exactly what we'd do and what it costs. No pitch deck, no pressure.