Serverless Architecture on AWS

Serverless eliminates the undifferentiated infrastructure work that slows your team down — no cluster sizing, no patching cycles, no capacity reservations. You pay for compute when code runs, not when it waits.

Lambda, API Gateway, Step Functions, EventBridge, and DynamoDB aren't a replacement for every architecture — they're the right choice when your workload is event-driven, variable in throughput, or where operational simplicity outweighs the control you'd get from a container fleet. When containers are the better fit, our Container & EKS team handles that work with the same rigor.

EFS DevOps has architected serverless systems across financial services, logistics, and SaaS platforms — from single-function microservices to complex multi-step workflows processing millions of events per day. We design for cold start behavior from the first sprint, not as an afterthought after production latency complaints.

What We Deliver

• Lambda architecture & optimization — Function design, memory/timeout tuning, provisioned concurrency for latency-sensitive paths, VPC-attached Lambda patterns for private resource access, and layer management for shared dependencies.
• API Gateway design — REST and HTTP API configuration, authorizer integration (Cognito, Lambda custom), throttling, usage plans, and stage-level deployment strategies.
• Step Functions state machines — Express and Standard workflow design for long-running processes, error/retry logic, human-approval steps, and parallel execution branches. We use Step Functions where you'd otherwise be hand-rolling async coordination logic.
• EventBridge event-driven architecture — Custom event bus design, schema registry, event routing rules, cross-account event delivery, and Pipes for point-to-point integrations without glue code.
• DynamoDB single-table design — Access pattern analysis, partition key strategy, GSI design, and capacity mode selection (on-demand vs. provisioned with auto-scaling). We prevent the late-stage rewrites that happen when NoSQL schema isn't designed upfront.
• Cost modeling & optimization — Invocation cost analysis vs. always-on alternatives, right-sizing memory (Lambda pricing is memory x duration), and identifying workloads where serverless saves money vs. where it doesn't.
• Observability — Structured logging to CloudWatch Logs Insights, X-Ray distributed tracing across Lambda-API Gateway-DynamoDB chains, and custom metrics for business-level monitoring beyond the AWS defaults.