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The ultimate AWS Lambda speed depends on the number of non-optimized cold starts.

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Watch the size of the function’s zip file and try to come up with a way to minimize node_modules in Node.js. It helps keep instances alive and ready for invocation when the need is. Solution: On top of concurrency monitoring, warmer logic is a major way to optimize cold starts. The size of the Lambda function’s zip file also hinders the cold start time, as well as the size of node modules when it comes to Node.js. This results in lots of wasted time, which is expensive (the downtime can reach up to 10 seconds upon each new invocation). Cold start timeĭowntime in the performance of AWS Lambda cold starts is due to new invocations requiring the creation of new instances. Provisioned Concurrency solutions should come in handy and help with beforehand preparation of the execution environment. On top of that, you should consider the limitations of integrated tools and watch how many services you integrate in the first place. In that way, the allocation of that function’s concurrency limit is abstracted from the shared pool and assigned individually. You can sort of go around this process by setting a concurrency limit individually for particular functions. By default, all concurrent executions of your functions count against the account-level limit.

This limit reserves a certain share of your account level concurrency for a particular function. In particular, apply a concurrency limit to the Lambda functions in an account. Solution: Watch your execution concurrency limits. And these issues are mostly related to cold start time. Issues may be spawned once the concurrency limit is reached. On top of that, services that invoke concurrency may spawn multiple individual instances. The limit is 1,000 instances of concurrency per AWS Region. New instances are generated for each function in Lambda. But it all really comes down to three commonly defined main causes for AWS Lambda performance downtime. The possible causes of AWS Lambda cold start performance spikes, and other functional issues are numerous. Major AWS Lambda Performance Issues - Causes and Solutions Right off the bat, though, we should point out the major reasons causing AWS performance issues in the first place. It has the tools and approaches you can and should use to improve AWS Lambda performance.įor instance, you can create a CloudWatch alarm that goes off upon an unhandled exception or notifies you when the duration of the lambda reaches its timeout so that you can either solve the existing issue (if it’s an error) or prevent a possible error if the lambda request reaches its critical duration.Ī great AWS Lambda performance optimization method. CloudWatch troubleshooting and performance metricsĬloudWatch can be used to conveniently view and inspect metrics to make infrastructure adjustments and create custom alarms. Understanding how everything works and behaves allows fine-tuning configurations to achieve the best operational results. How do you pinpoint the major issues hindering the performance of AWS Lambda? It’s all about thorough monitoring of the underlying functions.

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