What causes high memory consumption in Node.js lambdas and how can I profile this locally before deploying to AWS to avoid over-provisioning?
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What causes high memory consumption in Node.js lambdas and how can I profile this locally before deploying to AWS to avoid over-provisioning?
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AWS Lambda Node.js memory usage profiling local testing process.memoryUsage RSS memory sizing documentation Google ↗
Node.js official documentation V8 heap snapshots --heap-prof --cpu-prof process.memoryUsage Google ↗
- node/doc/api/v8.md at main · nodejs/node · github.com
- learn/pages/diagnostics/memory/using-heap-snapshot.md at main · nodejs/learn · github.com
- AWS SAM local invocation · docs.aws.amazon.com
- Best practices for working with AWS Lambda functions · docs.aws.amazon.com
- How memory and computing power affect Lambda cost · repost.aws
- AWS Lambda Power Tuning · github.com
- Log and monitor Node.js Lambda Event Functions · docs.aws.amazon.com
- Node.js memory usage documentation · nodejs.org
- Node.js V8 profiling documentation · nodejs.org
- AWS Lambda best practices · docs.aws.amazon.com
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| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
AWS Lambda Node.js memory usage profiling local testing process.memoryUsage RSS memory sizing documentation OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
Node.js official documentation V8 heap snapshots --heap-prof --cpu-prof process.memoryUsage OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 |