Serverless and Event-Driven Platform Build
You need the system to handle real traffic without hiring a large operations team or defaulting to Kubernetes too early.
Book a production reviewBest fit
Teams that need scale without carrying a heavy operations burden.
Timeline
4-10 weeks
Proof frame
NDA-safe 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
- Synchronous calls are creating cascading failures
- Workers, retries, and DLQs are missing or inconsistent
- Kubernetes is being considered by default
- Traffic spikes require manual babysitting
How I find the cause
- API Gateway, Lambda, SQS, EventBridge, Step Functions
- DynamoDB access patterns
- DLQ design, retries, idempotency, alarms, and IaC
- blast radius and fallback 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 suggest Kubernetes when Lambda, SQS, and Step Functions solve the problem with less operational load.
What you get
- - event flow and service boundaries
- - IaC modules
- - deployment and rollback runbook
- - observability baseline
- - operational handoff
What to bring
- - traffic patterns
- - critical workflows
- - current deployment flow
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.
When is serverless the wrong answer?
When workload shape, latency profile, runtime limits, team skills, or stateful processing make containers simpler and safer.
Do you include observability and rollback?
Yes. Event-driven work is incomplete without retries, DLQs, idempotency, alarms, and a rollback/runbook story.