What are the best ways to optimize AWS Lambda function cloud costs?

In my experience is make the choice for the right language, very will design system to avoid long time runnin, CPU and Memory consumption.

Serverless computing that is event-driven and triggered by AWS Lambda functions can drastically lower infrastructure costs. However, Lambda expenses might still add up as utilization increases. Depending on event triggers, function runtimes, and memory allocations, Lambda optimization for cost reduction entails striking a balance between performance, efficiency, and resource usage. Steering clear of overprovisioning capacity or designing inadequate resources, which result in higher charges or throttled functions during traffic spikes, are the main concerns. Setting concurrency limits, reusing code across functions, properly sizing configurations, and monitoring to achieve the ideal cost/performance ratio are all examples of best practices.

Another important item to take in consideration is the language runtime, using the latest version in many occasions improve the performance e reduce the time to complete

- Use asynchronous tasks like SQS queues instead of blocking calls to reduce execution duration - Eliminate unused libraries and logic to reduce package size and execution time

Coding language is critical here, different options have a different performance depending on the task and the data to operate with. The old ` no magic bullets` applies here too

Writing the logic, or part of it taking a functional programming approach works very well on lambda. If functional methods are wrapped inside a layer, they could be shared across multiple lambdas making the full solution easier to maintain

Writing better code is what I consider a teamwork, not an individual input. Learn from experts (could be your seniors in the same team, or somebody from other department/team or company). Discuss your coding habits. Make it a habit to perform tests on your current code, even if you or the team thinks it's optimized enough. Try new variations of your current functions. Make it a habit to learn a new thing about code everyday and make sure you take a note, and use it whenever you are coding the next time.

Don't forget to configure the maximum concurrency configuration when you have an SQS as an event source to your lambda to avoid having it eating up the concurrency limits on your AWS account when a lot of messages are being pushed to your queue unexpectedly.

- Only load the external modules when you have the need for them depending on the different paths that your thread of execution might take. - Constants that never change should be initialized outside of the handler to avoid having to reinitialize them on every invokation, that would save some time and most importantly memory. - If you're using NodeJS as your runtime, make use of a bundler that does tree-shaking to reduce the size of your function.

Optimise your code and your runtime. Use a language that is not Python. Rust and Go have an amazingly fast runtime. Python is an interpreted language and should only be used when it's absolutely necessary.