Ship often. Sleep anyway.
Infrastructure as code, pipelines that tell the truth, and a platform your developers can self-serve — so releases stop being events and environments stop being snowflakes.
From commit to production.
- Terraform and Terraform Cloud Module design, state strategy, workspaces, policy and a review process that catches changes before apply.
- AWS CDK and infrastructure automation Typed infrastructure where it helps, and the automation around it that removes the manual step.
- CI/CD pipelines Build, test, scan, deploy — with promotion between environments and a rollback that has been rehearsed.
- GitHub Actions, Jenkins and cloud-native pipelines CodePipeline, GitLab CI or whatever you already run, made fast, cacheable and readable.
- Kubernetes platform engineering Cluster design, namespaces and tenancy, ingress, autoscaling, GitOps delivery with ArgoCD and Helm.
- Container build and deployment optimization Smaller images, layer caching, faster builds and deployments that do not need a maintenance window.
- Environment standardization Development, staging and production from the same code, differing only in the values that should differ.
- Observability and release reliability Metrics, logs, traces and alerts wired to the failure modes that actually page someone.
Find failures before your customers do.
Observability is not a dashboard nobody opens. It is knowing, at three in the morning, which change caused this and whether rolling it back is safe.
- CloudWatch metrics, logs and alarms mapped to real failure modes
- Structured logging and log retention that is affordable to keep
- Alerting with owners and thresholds, not a wall of noise
- Operational dashboards built for the on-call engineer
- Incident review that changes the system, not just the wiki
A pipeline shape we build often: one path to production, every stage gated on evidence.
Automate the path, not just the deploy.
Teams usually have automation somewhere. What they lack is one path: a single, obvious way to get a change from a branch into production, that everyone uses because it is faster than the alternative.
We build that path with the people who will live on it, standardize the environments underneath it, and leave the modules and pipelines documented in the repository where the work happens.
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Map the current path to production
Every manual step, approval and undocumented script between commit and customer.
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Codify the environments
Terraform or CDK modules, shared and versioned, with state and access sorted out properly.
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Build the pipeline
Fast feedback first, then scanning, promotion and rollback.
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Instrument it
Metrics and alerts that tell you a release is bad before the support queue does.
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Transfer ownership
Docs, walkthroughs and pairing until the team owns it outright.
Releases taking longer than the work?
We will look at your current path to production and tell you where the time is actually going.