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So you need to know a few Lambda Limits

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before going into the exam,

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because the exam likes to see if you know these limits

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and these limits are per region.

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So we have some execution limits

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and then we'll have some deployment limits.

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So execution is that the memory allocation

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is between 128 megabytes to 10 gigabytes.

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And this is in 64 megabytes increments.

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And when we increase the memory,

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then we have more vCPU, you understand this now.

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The maximum execution time is 900 seconds

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which is 15 minutes.

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So anything above that is not a good use case for Lambda.

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Environment variables,

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we can only have up to four kilobytes

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of environment variable,

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so a little bit amount of space.

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But there is a temp space

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if you want to pull in some big files

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while we create another function.

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And so this is this capacity in the /tmp folder

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and we have up to 10 gigabytes there.

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We can have up to 1000 concurrent executions

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over Lambda functions.

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This can be increased as well if we do a request.

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But it's good to use reserved concurrency early on.

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Finally, for deployments,

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the max size for your compressed zip is 50,

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uncompressed, it is 250 megabytes.

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So anything above that, for example, big files,

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you should use a /tmp space instead.

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So as I said,

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in case you need to have a big file (mumbles),

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please use that directory.

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And finally,

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again, the environment variables is four kilobytes.

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So once you know all these limits,

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when the exam will ask you a few questions

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such as we need 30 gigabytes of RAM,

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or we need 30 minutes of execution time,

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or we need a big file of three gigabytes,

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then you will know that Lambda is not the right way

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to run this workload.

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I hope that was helpful,

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and I will see you in the next lecture.