Many Lambda functions are written in Python and use the AWS SDK boto3. Initializing your first boto3 client or resource can take a long time after a Lambda cold start. In this article we explore how much exactly and why it’s up to 10x faster on Lambdas with more memory.
Possibilities of using AWS Step Functions are widespread. Most times, filtering out the necessary content is done within Lambda Functions or other services. With this blog, I will show you how to prevent this within Lambda using in- and output filters in
CDK is great for serverless architectures. But the deploy times even for small lambda functions is to slow. Here is a little trick which can speed up things a lot. A small caveat: It is cheating.
Building Lambda Functions with Terraform Introduction Many of us use Terraform to manage our infrastructure as code. As AWS users, Lambda functions tend to be an important part of our infrastructure and its automation. Deploying - and especially building
In hybrid architectures, serverless functions work together with container solutions. Lambda logs have to be translated when you don`t choose CloudWatch Logs. The old way of doing this is through subscription filters using additional Lambda functions for
DynamoDB allows us to store complex data structures and deeply nested objects, but this complexity isn’t free. In this post we take a look at how different Lambda configurations impact the read times from boto3. We examine how different resource con