Lambda startup time software#
Lambda startup time code#

When an environment is cold-started after the execution of the function, the environment stays warm for an uncertain amount of time, during which if another function call occurs then the same warmed-up execution is used by the lambda function for execution. This will result in only warm-up environments being run and not a new one being started/created. There is a way to avoid this as well, we can send the lambda function calls to an SQS queue from which the warmed-up environments can one by one execute the functions by using the data in the SQS queue. If the number of concurrent calls exceeds the number of warmed up environments then a new environment is cold-started. This does not charge us as with lambda functions we are only charged with GB of memory usage per 1000 calls.

We use Provisioned Concurrency by using this, a certain amount of lambda function environments are always in a warm up state, so when the lambda function is called then it starts executing faster due to the already present ready environment. Ways to reduce cold start times Provisioned Concurrency This initialisation time depends on various factors and can vary accordingly, let’s look at some ways in which we can minimise this time.

Lambda startup time code#

Another added benefit is we pay for what we use, that is, you only pay for the amount of time the function is running, nothing more than that.Īs they always say ‘There are 2 sides of a coin’ the same goes for Lambda, there are downsides of using AWS Lambda as well, the biggest downside is AWS Lambda’s latency in responding to events due to its cold start time, what is cold start time you ask? Cold start time is the time taken for lambda to initialise an environment to execute its handler code in. It is serverless, so we need not pay attention to scaling and resource allocation needs. This gives us a big scope for usage of Lambda. AWS Lambda is an event driven service, which means that its execution starts as a response to an event, and it is compatible with all of AWS’ services and more. Lambda is one of the most popular services provided by AWS and is a part of every event driven architecture which I have come across so far. Public static void executeCPUIntensiveTask() It is essentially 2 loops, calculating a square root and appending it to a string. The workload takes a little over 30 seconds of compute time. The workload presented is identical for both Java and C#. I hope it won’t be long for AWS to implement DotNet 5 for Lambdas but it is not currently available at the time of the writing of this article.

This means comparing Java 11 Lambda runtime vs. For more on Graviton2 lambdas, please refer to Ĭurrently, these are the following choices of Java and DotNet C# runtimes that are available for AWS:įor this comparison, we will compare the latest runtimes of each. This article will be comparing a simple compute workload written in both languages and to see how they compare with respect to compute performance.Īdditionally, I will also present results for the new Graviton2 based architecture as compared to the x86_64 (previous AWS Architecture).

Lambda startup time software#

Both are object oriented, implement garbage collection and are a top choice for serious software developers. Java and C# are both available as runtime languages for AWS Lambda.