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Serverless architecture consulting on AWS: we design, build and operate event-driven platforms with Lambda, Step Functions, SQS and EventBridge.
Serverless architecture is our default habitat: Lambda, API Gateway, Step Functions (including Distributed Map for massively parallel batches), SQS with dead-letter queues, SNS, EventBridge, S3, DynamoDB and OpenSearch, deployed multi-region with SAM and CloudFormation. We have built the monitoring, security-compliance and real-time indexing platforms of a cloud marketplace this way, and a zero-downtime full-reindex pipeline with automatic rollback at every step. In practice an engagement starts from the workload, not the service list: how many events per second, how bursty, what latency the user actually feels, what a duplicate or a lost message would cost. The answers pick the parts (queues, buses, functions, tables) and the numbers size them: batch windows, concurrency caps, timeout budgets, alarm thresholds. The result is an architecture the team can read on one diagram and operate without us, because every choice is written down next to the metric that justified it.
Traffic patterns, data volumes, latency and cost constraints.
Services, queues, state machines and failure paths on paper first.
Everything in SAM or CloudFormation, reviewed and repeatable.
Load-realistic testing, alarms wired, runbooks written.
No fleet to patch, scaling built in, and cost that follows usage. For spiky or event-driven workloads it is usually the right call; when it is not, we say so.
Measured, then engineered: bundling with esbuild, dependency pruning and lazy SDK loading took the Lambdas we optimized from about 8 seconds to about 1.5.
AWS is home ground, and we have integrated Azure and Google Cloud compliance data into the same platform. We do not pretend equal depth on all three.
Yes: infrastructure as code, architecture documentation and runbooks. No console-clicked resources.
Tell us what you are working on. Reply within 24 hours, one-page diagnostic within 48.