Aug 3, 2020 · Lambda container remains alive even after the invocation is complete. So, whatever data loaded in the container's memory will be available throughout the Lambda container …

If your function relies on a mutable state that can’t be stored in memory within the handler, consider creating a separate function or separate versions of a function for each user. Use a …

Jun 8, 2017 · After the invocation Lambda will “freeze” your container preventing it from doing “async” or “background” work. A subsequent request will “thaw” the container and pass the …

You can configure memory between 128 MB and 10,240 MB in 1-MB increments. At 1,769 MB, a function has the equivalent of one vCPU (one vCPU-second of credits per second). This page …

Jun 2, 2023 · As the error suggest, it seems like a memory issue but the max memory usage does not surpass the lambda memory size. As stated before, I have tried max memory configuration …

If this is the case, you may find the Lambda function runs out of memory, even if your custom code is disposing of variables correctly. This issue affects invocations occurring in warm …

Jun 9, 2023 · We are planning to use in-memory Caching (Hashmap) in our lambda-based application. So, as per our assumption, the cache will be there for 15 mins (lambda lifetime) …

Mar 2, 2021 · In this post, I show how to build a flexible in-memory AWS Lambda caching layer using Lambda extensions. Lambda functions use REST API calls to access the data and …

Lambda saves a snapshot of the memory and disk state of the initialized execution environment, persists the encrypted snapshot, and caches it for low-latency access. If you have a before …

This function has a Max Memory of 512MB and a timeout of 2 min. Looking into the CloudWatch logs I'm seeing the Max Memory Used being increased after some number of executions. See …