Waste signals
- Functions with 1024MB+ memory but p95 < 256MB used
- Provisioned concurrency on functions with < 10 invocations / hour
- x86_64 functions that could run on ARM
- Functions invoked zero times in 30 days
AWS Lambda cost optimization
Lambda billing tracks memory × duration. Most teams overallocate memory by 2-3× because the default is 128MB and tuning is rarely revisited. TurboFinOps measures p95 memory and recommends the smallest memory tier that meets your latency requirement.
Typical savings range$200-$3,500 / monthserverless-heavy SaaS with 100+ functions
Optimization levers
- Right-size memory based on observed p95
- Migrate to ARM (typical 20% cost cut, same code on Graviton)
- Remove provisioned concurrency where unjustified
- Retire dead functions with audit log
Workflow
How TurboFinOps closes the loop
1. Scan
Inventory functions, runtimes, memory configs and CloudWatch invocation metrics.
2. Surface
Findings show oversized memory and unused provisioned concurrency.
3. Approve
Memory and runtime changes pass conflict guard before deployment.
4. Verify
Receipts confirm the Lambda line dropped without latency regression.
FAQ
Frequently asked questions
Does ARM migration require code changes?+
Pure JavaScript / Python / Java code typically runs unchanged. Native dependencies may need an ARM build.
How do you avoid breaking SLAs when reducing memory?+
TurboFinOps suggests the smallest memory that keeps p99 latency below your existing baseline plus a configurable safety margin.
Related aws cost optimization guides
Find Lambda savings on your own account in 10 minutes
Connect a read-only scope. The first findings appear before any commercial conversation.
Get started
Find recoverable spend before the next invoice lands.
Connect one AWS, Azure or GCP scope, approve the safest savings actions, and give finance a receipt when the savings verify.
Read-only scan first. Approval gates before remediation.