AWS Production Architecture Review
Your AWS setup works, but the bill, releases, permissions, and incidents are starting to feel hard to trust.
Best fit
Series A-C SaaS and product teams that built fast and now need cost, reliability, IAM, observability, and deployment risk reviewed.
Timeline
1-2 weeks
Proof frame
Sanitized examples can be discussed with sanitized or NDA-safe detail.
Symptoms first, architecture second.
The useful work starts by naming what is hurting, what can be measured, and what can be changed safely this week.
What you may be seeing
- AWS spend is rising without a clear owner
- Incidents require too much manual diagnosis
- IAM, accounts, and environments have drifted
- Rollback is vague or untested
How I find the cause
- account and environment structure
- IAM boundaries and network exposure
- CI/CD, rollback, and release ownership
- CloudWatch, X-Ray, logs, alarms, and cost hotspots
- scaling limits and failure paths
The output has to survive handoff.
The point is not a prettier diagram. The point is a plan that names service boundaries, owners, rollback, cost drivers, and what gets observed.
I will not turn this into a generic cloud maturity deck. The output must name real risks, owners, and first moves.
What you get
- - architecture risk report
- - top 10 production risks
- - quick wins
- - 30/60/90-day technical plan
- - cost and reliability action list
What to bring
- - architecture sketch
- - billing context
- - incident history
The language this service is meant to own.
These are not keyword decorations. They describe the buying problem this page is built to answer.
Case studies that support this service.
AI-Driven Development
ASTM International · Enterprise engineering enablement
Ad-hoc AI coding → governed Claude Code delivery loop with standards, app KBs, skills, commands, Jira context, and PR review gates.
- Program Model
- 4 steps
- Process Maps
- 7
- Artifact Plan
- 59 rows
GenAI RAG Platform
Enterprise Knowledge Base
30+ min document hunts → sub-10s answers; hybrid RAG + semantic cache cut LLM spend ~60%.
- Documents
- 2M+
- Retrieval
- <1s
- LLM Cost Red.
- 60%
Discovery & Loyalty Platform
Qraved Indonesia · Imaginato
PHP monolith with static feeds → serverless discovery on Lambda, DynamoDB, and GraphQL; 3x throughput, +18% CTR and +22% DAU via Amazon Personalize.
- Throughput
- 3x
- CTR
- +18%
- DAU
- +22%
Questions this service should answer before a call.
What do you review first in an AWS architecture review?
I start with the production path: traffic, identity boundaries, data stores, deployment flow, rollback, observability, and cost-driving services.
Is this a cloud maturity assessment?
No. The goal is a practical risk report and action plan, not a generic scorecard.
Book a production review