DevOps & CI/CD
CodePipeline, CodeBuild, Terraform and CDK infrastructure as code, and GitOps patterns. We build deployment pipelines engineering teams actually want to use — fast, reliable, and self-service.
The state of most release pipelines
- Deploys take half a day — because the pipeline does too much manually and nobody trusts the automated steps
- Production and staging have drifted — IaC was the goal, but click-ops shipped the last three changes
- Rollback is "redeploy the previous tag" — which works until you need it under fire and it doesn't
- Security scanning is a Friday afternoon ritual — not a deploy gate
- Secrets live in environment variables and Slack threads — not in Secrets Manager with rotation
- The team avoids deploying on Friday — and that tells you the deploy is a problem, not a normal event
The shape of a good pipeline
Good pipelines are self-service, reversible, and boring. Engineers don't need a Slack approval to deploy. Rollback is one click. Friday deploys are a non-event.
We build pipelines toward that target — and accept that the journey is more about removing process friction than adding tools.
Pipelines your team will actually use
- CI/CD pipelines — CodePipeline, GitHub Actions, or CircleCI
- Infrastructure as Code — Terraform or CDK (your choice)
- GitOps patterns — Argo CD or AWS CodeDeploy
- Automated testing gates — unit, integration, and security scans
- Blue-green and canary deployment strategies
- Secrets management — AWS Secrets Manager or Parameter Store
Our IaC Toolkit
Built for how your team actually works
Inventory & Assess
We map your current deployment process — what's manual, what's fragile, what's blocking your team from shipping. We identify the highest-impact improvements first.
IaC Foundation
We define your infrastructure in code first — this becomes the foundation everything else is built on. IaC is a prerequisite for reliable CI/CD.
Pipeline Implementation
We build the full CI/CD pipeline — automated tests, security scanning, blue-green or canary deploys, and rollback automation. Every step is documented.
Team Handoff
We run a knowledge transfer session with your engineers. The pipeline is theirs — they own it, extend it, and trust it to ship to production.
What you walk away with
- A self-service deploy pipeline — engineers ship to production without filing a ticket or pinging the platform team
- Infrastructure as Code drift-free across environments — staging and production match, peer-reviewed in PRs
- Blue-green or canary deploys on production — rollback is a button, not a 90-minute incident
- Automated security scanning as a deploy gate — SAST, container scans, dependency checks
- Secrets in Secrets Manager with rotation — out of environment files, out of Slack
- A team that owns and extends the pipeline — not a permanent dependency on us to add the next stage
Deploys shouldn't be scary
If your team dreads shipping to production, that's a process problem — not a people problem. Let's fix the pipeline.
Let's Fix Your PipelineFrequently asked questions
Terraform or CDK?
Whichever your team will actually maintain. Terraform if you want provider-agnostic HCL and the largest hiring pool; CDK if your engineers live in TypeScript or Python and want real programming constructs. We work in both and will give you a direct recommendation for your team, not a survey of options.
GitHub Actions or CodePipeline?
If your code is on GitHub, Actions is usually the pragmatic answer; CodePipeline earns its place for deep AWS-native integration and cross-account deployment patterns. The deployment strategy — gates, canaries, rollback — matters far more than the runner brand.
How fast can we get a working pipeline?
The first pipeline to production typically lands in the first two-week increment, covering one service end-to-end: build, test, scan, deploy, rollback. Then it becomes the template your other services adopt.
Do you replace our ops process or work inside it?
Inside it. The deliverable is a pipeline your engineers own and extend — IaC in your repos, deploy permissions in your IAM, documentation your team reviewed. If the pipeline only works while we are around, we have failed.
How do you handle secrets?
Secrets Manager or Parameter Store with rotation, injected at deploy or runtime — never in environment files, never in the repo, never in CI variables where they can be echoed. Scanning for leaked secrets is one of the standard pipeline gates we set up.
What does it cost?
Fixed scope per increment, priced after the inventory and assessment step. You know what the first pipeline costs before we start it.
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