AWS

AWS is my cloud of choice. I have used AWS for a number of projects.

Automate .NET App Deployment to AWS App Runner with Terraform

Learn how to automate the deployment of your .NET applications to AWS App Runner using Terraform. This guide covers infrastructure-as-code setup, CI/CD integration, and practical tips to streamline your cloud deployments.

#dotnet #aws #terraform

Text Extraction with AWS Lambda and Amazon Textract in .NET

Learn how to extract text from PDF documents using AWS Textract and .NET-based AWS Lambda functions. This guide walks .NET developers through building a serverless OCR pipeline using S3 triggers, Textract integration, and real-world implementation tips for handling document processing in the cloud.

#dotnet #aws

How to Upload Large Files in ASP.NET Core Using S3 Multipart Upload and Presigned URLs

Learn how to efficiently upload large files in ASP.NET Core using Amazon S3's multipart upload feature and pre-signed URLs. This hands-on guide walks you through building a scalable, client-driven upload workflow using a .NET 9 Web API and a Blazor WebAssembly frontend. You'll learn how to generate pre-signed URLs, handle file chunking, perform parallel uploads, and finalize the upload with minimal server load. Ideal for developers looking to offload file handling to S3 while maintaining full control from a .NET-based stack.

#dotnet #aws

AWS Step Functions with Lambda for .NET Workflows

Learn how to build scalable, fault-tolerant serverless workflows using AWS Step Functions and .NET Lambda functions. This guide is tailored for .NET developers who want to move beyond simple Lambda functions and orchestrate complex workflows with retries, parallel executions, and state management. We’ll cover the basics of Step Functions, how they integrate with .NET Lambda projects, real-world architecture examples, setup instructions, error handling, and when to avoid using them.

#dotnet #aws

Serverless Image Processing with .NET on AWS using S3, SQS, and Lambda

Learn how to build a fully serverless, production-ready image processing pipeline on AWS using .NET. This guide walks through uploading images via a minimal .NET 9 Web API, triggering S3 event notifications to an SQS queue, and processing those events in a Lambda function using ImageSharp. You'll learn how to resize images into optimized thumbnails, upload them to an output S3 bucket, and monitor the workflow using CloudWatch. The architecture is event-driven, scalable, and cost-efficient—ideal for modern applications handling user-generated content.

#dotnet #aws

Amazon DynamoDB Streams for .NET Developers - A Complete Getting Started Guide

DynamoDB Streams offer a powerful way to capture real-time changes in your DynamoDB tables, enabling event-driven architectures, auditing, replication, and more. In this guide, I will walk you through everything .NET developers need to know to get started with DynamoDB Streams. By the end of this guide, you’ll have a solid foundation for integrating DynamoDB Streams into your .NET applications, unlocking real-time data processing capabilities to enhance your architecture.

#dotnet #aws

Amazon SQS vs SNS - Choosing the Right Messaging Service for Your Architecture

Modern distributed systems rely on messaging services like Amazon SQS and SNS. They help you decouple these interconnected components, ensuring each part works independently yet harmoniously. Whether it’s queuing tasks for reliable processing with SQS or broadcasting real-time notifications to multiple subscribers with SNS, these tools play a pivotal role in simplifying complex workflows.

#dotnet #aws

Amazon DynamoDB Time to Live (TTL) for .NET Developers - A Complete Guide

Learn how to implement Amazon DynamoDB Time to Live (TTL) for efficient data expiration in .NET applications. This guide explains the basics of TTL, showing you how to automatically remove outdated items and optimize database operations. Perfect for developers, this guide ensures you can effectively manage data life cycles with DynamoDB's powerful TTL feature.

#dotnet #aws #devops

Amazon DynamoDB Batch Operations with .NET - Read, Write & Delete

Batch operations in Amazon DynamoDB allow developers to efficiently perform multiple read, write, update, and delete actions in a single request, optimizing performance and reducing costs. In this article, we'll explore how to implement batch operations using DynamoDBContext in the AWS .NET SDK. By building a simple .NET web API, you'll gain hands-on experience working with DynamoDB batch operations in a practical context.

#dotnet #aws #devops

AWS

Automate .NET App Deployment to AWS App Runner with Terraform

Text Extraction with AWS Lambda and Amazon Textract in .NET

How to Upload Large Files in ASP.NET Core Using S3 Multipart Upload and Presigned URLs

AWS Step Functions with Lambda for .NET Workflows

Serverless Image Processing with .NET on AWS using S3, SQS, and Lambda

Amazon DynamoDB Streams for .NET Developers - A Complete Getting Started Guide

Amazon SQS vs SNS - Choosing the Right Messaging Service for Your Architecture

Amazon DynamoDB Time to Live (TTL) for .NET Developers - A Complete Guide

Amazon DynamoDB Batch Operations with .NET - Read, Write & Delete

Level Up Your .NET Skills

FREE .NET Web API Course🔥

Subscribe to Mukesh's .NET Newsletter 🚀