Architecture review
Assess current AWS resource usage, cost, and failure points, and produce specific, prioritized recommendations rather than a generic best-practices checklist.
AWS DevOps Consulting
Infrastructure that matches what you're actually running.
AWS infrastructure and DevOps consulting — architecture review, CI/CD pipelines, and Kubernetes decisions sized to your actual workload, not a reference architecture.
Book a discovery callTHE BUSINESS NEED
Start with the problem.
Build what matters.
A lot of AWS spend and operational complexity comes from infrastructure sized for a scale the product hasn't reached yet, or from manual processes that were fine at five deployments a month and aren't at fifty. Getting this right means matching infrastructure decisions to actual, current workload and team capacity — not a reference architecture designed for someone else's scale.
How we approach it
We review actual workload, deployment frequency, and team size before recommending infrastructure changes, and we're explicit when a simpler option — ECS instead of Kubernetes, a single pipeline instead of a complex multi-stage one — is the better fit. Changes are rolled out incrementally with rollback plans, not as a single infrastructure rewrite that has to work perfectly the first time.
CAPABILITY IN DETAIL
What this means in practice.
Specific engineering work, connected to a business need.
CI/CD pipeline design
Build pipelines connecting code review, automated testing, and deployment with release gates appropriate to the risk of what's being shipped.
Kubernetes, when justified
Configure Kubernetes for workloads that genuinely need its orchestration capabilities, and recommend a simpler deployment model — like ECS or a managed platform — when they don't.
Monitoring and cost visibility
Set up metrics, logging, and alerting tied to real failure modes, along with cost allocation so infrastructure spend can be attributed and managed.
WHERE IT CAN HELP
Problems worth solving.
Illustrative engagement types, not claims about previous projects.
- Replacing manual, error-prone deployments with a repeatable CI/CD pipeline
- Reviewing whether Kubernetes is actually justified for a given workload before adopting it
- Reducing AWS costs by right-sizing infrastructure to actual usage patterns
BEFORE WE BEGIN
Questions, answered.
Do you always recommend Kubernetes?
No. Kubernetes is justified when a workload genuinely needs its scheduling, scaling, or multi-service orchestration capabilities. Many workloads are served better and more cheaply by simpler managed services.
Can you work with our existing AWS setup rather than starting over?
Yes, most engagements start with a review of the current setup and build incrementally from there rather than proposing a full rebuild.
Do you provide ongoing operational support?
Support scope, response expectations, and monitoring ownership are agreed separately as part of the engagement — this page describes the initial architecture and pipeline work.
LET’S BUILD WHAT’S NEXT
Have a complex
technology problem?
Bring the idea to a focused 15-minute call. No pitch deck, no obligation — just a clear read on whether we’re the right fit.