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02 · Platform Engineering

A platform your engineers can ship from without asking ops.

Development teams raising infrastructure tickets to deploy software is a bottleneck. Every manual handoff is a delay. We replace that with Kubernetes platforms operated as self-service infrastructure — teams deploy by merging a pull request.

What the problem costs you.

Most infrastructure problems are not caused by the tools chosen. They are caused by how infrastructure is provisioned and managed over time.

Deployment bottleneck through ops

Every deployment requires a ticket to the platform team. Development velocity is constrained by operations capacity, not engineering output.

Inconsistent cluster configuration

Clusters configured manually diverge from each other. What works in dev fails in production for reasons that take hours to diagnose.

No enforcement of standards

Without policy, teams apply whatever resource limits and security configurations they prefer. Standards exist only in documentation nobody reads.

Undocumented cluster knowledge

Critical cluster configuration lives in the memory of the engineers who set it up. Runbooks do not exist. On-call is a guessing game.

The platform components we deliver.

Each component reduces the operational surface your teams manage. Together, they form a self-service delivery platform.

01

Kubernetes Orchestration

EKS 1.31+ · Node groups · Managed add-ons

Fully managed EKS clusters with node groups defined in Terraform. Cluster upgrades are tested in dev before production. No manual kubectl apply in production.

02

GitOps Delivery

ArgoCD · ApplicationSets · Auto-sync · Prune + selfHeal

Git is the single source of truth. ArgoCD syncs cluster state from the repository. Manual changes are overwritten on the next sync cycle.

03

Workload Management

Helm Charts · Kustomize · Per-environment values

One Helm chart per service, promoted through environments by changing values files. Rollback is a git revert, not a kubectl command.

04

Autoscaling

HPA · VPA · Cluster Autoscaler · KEDA

Horizontal Pod Autoscaler configured at deployment time. Cluster Autoscaler provisions nodes before the workload needs them, not after.

05

Access Control

RBAC · ServiceAccounts · OPA Gatekeeper · Namespace isolation

Least-privilege service accounts per workload. OPA Gatekeeper enforces resource limits, image policies and security contexts before admission.

06

Local Development

KinD · Tilt · Skaffold · Local registry

Local Kubernetes cluster that mirrors the production configuration. Engineers test against real cluster behavior before opening a pull request.

How we implement it.

01

Platform requirements

Map the deployment workflow, identify bottlenecks and define the self-service contract between platform and product teams.

02

Cluster design

Design the EKS architecture, node group strategy, network policy and RBAC model before provisioning anything.

03

GitOps bootstrap

Deploy ArgoCD, configure ApplicationSets for all environments and migrate existing workloads to GitOps delivery.

04

Policy and handover

Implement admission policies, document the deployment workflow and run a platform walkthrough with the engineering team.

What changes when this is delivered.

Deployments without ops tickets

teams ship by merging a pull request

Consistent cluster configuration

every cluster provisioned from the same Terraform module

Policy enforced at admission

not discovered at incident post-mortems

Rollback in under 2 minutes

git revert, not manual intervention

Autoscaling without manual intervention

HPA and Cluster Autoscaler handle load spikes

Local development mirrors production

issues found before they reach a cluster

Platforms where we operate

AWS
Kubernetes
GitOps
On-Premise

Two platform engineering projects

AI-powered AWS tooling and a GitOps reference platform with full observability.

aws-devops-agent In Development
  • • AI CLI — Claude Sonnet as reasoning layer, boto3 as execution layer
  • • 25+ AWS services in natural language — no boto3 knowledge required
  • • Tool-use pattern — Claude decides which boto3 tools to invoke
  • • Stack: Python · Claude Sonnet · boto3 · Anthropic API
k8s-devops-platform Reference
  • • GitOps reference platform — ArgoCD auto-sync + prune + selfHeal
  • • KinD local dev mirrors production — same Helm Charts and ArgoCD config
  • • Full observability: Prometheus + Grafana + Alertmanager from day one
  • • Stack: ArgoCD · Helm · KinD · Prometheus · Grafana · Alertmanager

Start with a platform review.

Bring your current Kubernetes setup or deployment workflow. We identify where friction is costing you velocity and outline what a self-service platform would look like for your team.