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6/15/2026
Serverless applications on AWS with Lambda using Java 25, API Gateway and Aurora DSQL - Lambda performance optimization approaches

Serverless applications on AWS with Lambda using Java 25, API Gateway and Aurora DSQL - Lambda performance optimization approaches

Short summary

AWS Lambda performance can be optimized via memory allocation, architecture selection (ARM64 vs x86), Java compilation flags, and SnapStart for managed runtimes. The article reviews techniques for both managed Java and GraalVM Native Image deployments. Author caveat: no new benchmarks provided with Java 25; readers must test locally.

  • •Adjust Lambda memory settings and switch to ARM64 Graviton2 architecture for better cost-performance trade-offs
  • •Apply SnapStart and priming techniques to managed Java runtime to reduce cold-start latency
  • •Explore GraalVM Native Image and Profile-Guided Optimizations as alternative optimization paths

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