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Blog posts on .NET, AI, Azure, and more.
Create a CRUD HTTP API with Lambda and DynamoDB - Part 3
December 31, 2025 by Anuraj
AWS Lambda UnitTesting
In this blog post we will learn how to write unit tests for AWS Lambda. When we create the Lambda empty function, it will create a Unit test project as well. Since we modified the Lambda function to use APIGatewayHttpApiV2ProxyRequest and APIGatewayHttpApiV2ProxyResponse, we need to modify the unit test like this - here is the Lambda function.
Create a CRUD HTTP API with Lambda and DynamoDB - Part 2
December 30, 2025 by Anuraj
AWS Lambda DynamoDb
In this blog post series, we’ll explore how to create a CRUD application using Http API with Lambda and DynamoDB. This is multipart blog post. In this blog post we will connect to DynamoDb from AWS Lambda.
Create a CRUD HTTP API with Lambda and DynamoDB - Part 1
December 29, 2025 by Anuraj
AWS Lambda
In this blog post series, we’ll explore how to create a CRUD application using Http API with Lambda and DynamoDB. This is multipart blog post. In this blog post we will create a lambda, how to test and debug it. To get started we will be installing AWS Lambda project templates and AWS Lambda tools.
Working with Data API Builder
December 24, 2025 by Anuraj
sqlserver API
In this blog post, we’ll explore how to work with the Data API Builder. Data API builder (DAB) provides a REST API over a database. It also provides a GraphQL API. It supports not just SQL Server, but Azure SQL Database, Azure Cosmos DB, PostgreSQL, MySQL, and SQL Data Warehouse. Long back I wrote a blog post about Getting started on Data API Builder. Now Data API builder support Azure SQL Database, Azure Cosmos DB, PostgreSQL, MySQL, and SQL Data Warehouse.
Getting started with Amazon Bedrock in .NET applications
December 20, 2025 by Anuraj
dotnet AI AWS Bedrock
In this blog post, we will learn about AWSSDK.Extensions.Bedrock.MEAI and show you how you can build generative AI infused .NET applications by using foundation models (FMs) supported by Amazon Bedrock. I already wrote different blog posts about how to use Microsoft.Extensions.AI nuget package. MEAI in the package name is an acronym for Microsoft Extensions AI. Bedrock in the package name refers to Amazon Bedrock, an AWS service that provides us access to latest foundation models from popular providers such as Anthropic, Meta, Mistral, DeepSeek and more.
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