AWS DevOps Engineering
The AWS platform underneath the applications — pipelines, Terraform, containers, observability, security automation, and cost controls. Built so releases are routine and incidents are quick.
Principles that drive the engineering
Six rules we hold for every platform we build. They're why Stryde went from beta to production in under twelve weeks.
Infrastructure as code, or it didn't happen
No console drift. No handcrafted environments. Every resource in Terraform from the first commit — reproducible, reviewable, and recoverable.
Pipelines are products, not scripts
Release pipelines have owners, SLAs, and tests. We build them as systems engineers will still want to use in year three, not as one-off automation that rots.
Security is a guardrail, not a gate
Policy as code. Scans at commit, build, and deploy. Guardrails that catch issues early instead of review boards that slow releases down.
Observability before production
Dashboards, traces, structured logs, and alerts are part of the build. The first incident is a response, not a tooling installation.
Deploy small, deploy often
Canaries, blue/green, feature flags, rollback on-one-click. Big-bang deploys are a tax on reliability and on engineer mornings.
Incidents produce durable improvements
Every post-incident review produces a pipeline change, a runbook update, or an alert tweak. The platform gets better every time it hurts.
AWS DevOps Engineering, end to end
Four modes shape every DevOps platform we build: build, deploy, observe, secure. Together they make releases routine and incidents short.
Infrastructure as code
Terraform (default), CDK, or CloudFormation — modules, state management, drift detection, and code reviews that catch the footguns.
CI/CD pipelines
Build, test, and deploy pipelines with approvals, rollbacks, and environment promotion — CodePipeline, CodeBuild, or GitHub Actions, whichever fits your stack.
Container orchestration
ECS, EKS, or Fargate with service discovery, auto-scaling, and blue/green or rolling deploys — picked on the tradeoffs, not the trend.
Monitoring and observability
CloudWatch dashboards, X-Ray tracing, structured logs, and alerts that wake the right person for the right reason.
Security automation
GuardDuty, Security Hub, Config conformance packs, and SSM automations that turn security policies into guardrails, not PDFs.
Cost optimization
Tagging, budget alerts, Savings Plan analysis, and right-sizing so your AWS bill tracks what the business is actually doing.
What we reach for, and why
Terraform is our default. CDK where a TypeScript team owns the infra. CloudFormation when the customer mandates it.
We meet the customer's pipeline — CodePipeline, GitHub Actions, or GitLab CI — instead of forcing a tool. CodeBuild for AWS-native builds.
ECS + Fargate as the default for most workloads; EKS where Kubernetes is a must. Docker in the build chain.
CloudWatch and X-Ray as the AWS-native foundation. OpenTelemetry where applications already emit it. Alerts that page a person, not a dashboard.
Security Hub for posture, Config for drift, GuardDuty for threat, Systems Manager for remediation. Policies in code, not in PDFs.
Cost Explorer, Trusted Advisor, and Savings Plans analysis — and tagging discipline from the first commit. Cost that tracks business load.
The way a project actually runs
From pipeline audit to boring releases in four phases, each with a tangible deliverable you review before we move to the next.
Audit the pipelines
Current IaC, CI/CD, container footprint, observability, and security posture. Name what's breaking releases and what's slowing feedback.
Design the platform
Target IaC structure, pipeline shape, environment promotion model, observability standards. Decisions documented and signed off.
Build & roll out
Implement in Terraform. Ship pipelines environment by environment. Observability and security automation wired in at build time.
Operate & evolve
Runbooks, SLOs, post-incident discipline. Option to continue as managed operations or hand the keys over clean.
Seen in production
A Brand-Protection Platform, Modernized on AWS — From Monolith to Lambda Microservices
Brand-protection platform modernized from a monolith to Lambda microservices on AWS — released routinely, run in managed operations.
Read the case studyBeta to Production in Under Twelve Weeks — on AWS Serverless
Connected-fitness platform — Android tablet app, web portal, e-commerce surface, AWS serverless backend — shipped beta to production in under twelve weeks.
Read the case studyPart of these solutions
DevOps feeds all three solutions — and stands alone for platform engineering, developer-experience upgrades, and release modernization outside a full migration or product build.
Want releases to be the boring part?
Tell us what's breaking your deploys. We'll scope the IaC, the pipelines, and the observability — and come back with a plan that makes releases routine and incidents short.
Book a Discovery Call