In the world of serverless computing, choosing the right memory configuration for your AWS Lambda functions is crucial for optimal performance and cost-efficiency. Determining the ideal memory allocation requires careful consideration and understanding of your application's requirements. By properly sizing the memory, you can ensure that your Lambda functions have the necessary resources to handle their workload effectively.
In this post, we will understand how can we implement the following things when using AWS Lambda with .NET Core.
In this post, we will understand how to use Log4Net in the .NET Core application to store logs in AWS CloudWatch.
In this post, we will understand how can we create a DynamoDB table in the AWS cloud and connect it with an ASP.NET Core application to perform CRUD operations.
In this post, we will understand how AWS SDK for .NET loads the AWS credentials.
In this post, we will step by step understand how to configure and set up a .NET application to use AWS SDK.