DevOps & Platform Engineering

Shorten the distance between
a commit and production.

Pipelines, platforms and the developer experience around them, built so your engineers ship without filing a ticket to do it.

How it works

The pipeline is the product.

A deployment pipeline is the only piece of infrastructure every engineer touches every day. When it is slow or untrusted, everything downstream absorbs the cost.

CommitPR openedBuild & scantests, SAST, depsIaC planterraform planHuman approvalreviewed, not rubber-stampedDeployprogressive rolloutNO LONG-LIVED CREDENTIALS ANYWHERE IN THIS PATH. OIDC ONLY.

// A pipeline that nobody trusts gets bypassed, and a bypassed pipeline is worse than none.

Worked example

Moving workloads from EC2 to EKS.

Workloads were running directly on EC2, with scaling handled manually and operational overhead growing faster than the team could absorb. Every deploy carried more coordination than it should have.

We re-platformed onto Amazon EKS with container orchestration, scaling policies and deployment automation, then moved the release path onto a pipeline the team could reason about.

The migration itself was the easy half. The harder half was making the new platform something engineers preferred to use, because a platform people route around is just more infrastructure to maintain.

Before
Manual scaling on EC2, coordination-heavy deploys.
After
Orchestrated workloads, automated deploys, modernized infrastructure.
Focus
EC2 to Amazon EKS
Scope
Platform & release path
Approach
Re-platform, then automate
Outcome
Reduced operational cost
What we do

The platform your team stops fighting.

Deployment automation, environment provisioning and the reliability practice that keeps it honest.

CI/CD

GitHub Actions, GitLab and Jenkins pipelines with gated approvals, drift detection and no long-lived credentials in the path.

Kubernetes & EKS

Cluster architecture, upgrade discipline, RBAC, Pod Identity and network policy that is actually enforced rather than documented.

Infrastructure as code

Terraform modules and CloudFormation under PR review, so infrastructure changes get read by a human before they land.

Developer experience

Self-service environments and golden paths, so provisioning stops being a ticket queue with a person at the end of it.

Observability

Prometheus, Grafana, OpenTelemetry and alerting tuned to page a human only when a human is needed.

Reliability

SLI and SLO definition, incident command, and post-incident review that ends in a preventive change rather than a document.

Stack

What we build on.

Pipelines

GitHub Actions, GitLab CI, Jenkins, ArgoCD, Argo Rollouts, OIDC and workload identity federation.

Platform

Kubernetes, Amazon EKS, Helm, Docker, Terraform, Ansible, HashiCorp Vault.

Reliability

Prometheus, Grafana, OpenTelemetry, Datadog, PagerDuty, SLO definition and error budgets.

What we will not do

We will not put a deployment pipeline in front of a team that has not agreed to use it, and we will not paper over a broken release process with more automation. If the real problem is that nobody owns the platform, more tooling makes it worse.

Bring us the pipeline nobody wants to touch.

Upgrade debt, alert fatigue, or deploy credentials nobody has rotated since the person who created them left.