Cloud architecture, infrastructure as code, CI/CD, internal developer platforms, observability, and security. We build and operate the platforms that production software runs on, across AWS, Azure, and GCP.
Cloud architecture decisions are easy to make and expensive to undo. The right structure depends on the workload, the team, and the constraints around it, not on a reference diagram. We design cloud-native architectures across AWS, Azure, and GCP, and plan migrations workload by workload, from straightforward lift-and-shift to full re-architecture where it pays off. Multi-region, disaster recovery, and cost all factor in from the start, not after the bill arrives.
Infrastructure that's clicked together by hand is hard to reproduce, review, or trust. Infrastructure as code makes it version-controlled and repeatable: environments that can be rebuilt identically, changes that go through review, and policy enforced automatically before anything is applied. We build module libraries with secure defaults in Terraform, Pulumi, and CDK, and bring existing console-managed infrastructure under code.
Shipping should be routine, not an event. Good CI/CD pipelines make releases fast, repeatable, and safe enough that teams deploy without holding their breath. We design and build the automation that gets code from commit to production, tested, verified, and reversible, using progressive delivery techniques like canary and blue/green so problems surface early and roll back cleanly.
Security that's left to the end of a project tends to stay there. DevSecOps moves it into the development workflow, where issues are caught on the pull request instead of in an audit. We build scanning and policy enforcement into the pipeline, for code, dependencies, containers, and infrastructure, along with the supply-chain controls, like software bills of materials and artifact signing, that regulated environments increasingly expect.
As engineering teams grow, waiting on a central ops team becomes the bottleneck. An internal developer platform removes it by making the common path self-service: provisioning environments, spinning up services, and shipping through pre-built, paved-road pipelines. Treated as a product rather than a side project, it lets teams move quickly while staying within guardrails the organization can stand behind.
When something breaks in production, the question is how fast you can see it and understand why. Observability is what makes a system legible: metrics, logs, and traces that connect, dashboards tied to service-level objectives, and alerts that fire on real problems instead of noise. We instrument systems so teams can find and fix issues quickly, increasingly including AI systems, where latency, cost, and output quality all need watching.
Security in the cloud is a moving target, and for regulated industries it comes with standards that have to be met and evidenced. We work across both: hardening cloud environments through identity, secrets management, and posture monitoring, and supporting the compliance work (SOC 2, HIPAA, ISO 27001, and others) that turns an audit from a scramble into a routine. The goal is security that's built in and demonstrable, not added under deadline.
Few systems live in one layer. The work here usually connects to the disciplines around it.
If your cloud, platform, or delivery foundations are holding the rest of the work back, we can modernize and scale them without interrupting what they run.
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