AWS Lambda Consulting & Services for Enterprises

Event source and trigger architecture, cold start and cost optimization, concurrency and throttling design, VPC networking, IAM and secrets handling, and migration planning both onto and off Lambda. Every engagement is staffed by a named senior engineer who operates the surrounding queue and stream infrastructure too.

In order of cost effectiveness: shrink the deployment package and move initialization out of the request path, choose a runtime with a faster start profile, use SnapStart for Java where it applies, and only then add provisioned concurrency. Provisioned concurrency works but is a standing charge, so we size it against your actual traffic curve rather than applying it everywhere.

Usually over-provisioned memory. Lambda bills on memory times duration, and because CPU scales with memory, a function at 512 MB can finish fast enough to cost less than the same function at 256 MB. Most accounts have functions set once and never profiled. We measure the cost curve per function and set each one at its actual minimum, then look at invocation patterns and retry storms.

Sustained high-throughput traffic where a container running continuously is cheaper, executions that push against the timeout limit, workloads needing large local state or persistent connections, and anything requiring predictable sub-millisecond latency at all times. We have moved workloads off Lambda to Fargate and ECS when the numbers said so, and we will run those numbers before recommending a direction.

Yes. VPC-attached functions need enough subnet IP space for elastic network interfaces at peak concurrency, and they lose default internet access — which means NAT gateway costs or VPC endpoints for AWS service calls. We size subnets against burst concurrency and route AWS service traffic through endpoints rather than NAT where possible.

Partial batch response so one bad record does not fail an entire SQS or Kinesis batch, dead-letter queues with monitoring and a tested replay path, and idempotency keys so retries do not double-apply side effects. We also align visibility timeout to real function duration, because a mismatch there is one of the most common causes of duplicate processing.