Invocation patterns
Look at event bursts, retries, and duplicate work. Small spikes can become expensive at scale.
Insights
Lambda cost control
Serverless is efficient when the functions are sized and invoked well. Cost problems usually show up in retries, noisy triggers, and over-provisioned memory.
Memory sizing
Lambda memory affects both performance and cost. Under-sizing can be slower and cost more overall.
Downstream cost
Functions often trigger extra spend in SQS, API Gateway, data stores, and logs. The full path matters.
Control points
Where Lambda cost usually creeps in
Watch for duplicated triggers, noisy retries, oversized payload work, log volume, and functions that do too much per invocation.
Reduce unnecessary invocations
Right-size memory and timeout
Cut retry amplification
Review event fan-out
Track related service spend