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AWS

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

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Showing 13-24 of 58 articles

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

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.

15 min read
AWS Step Functions with Lambda for .NET Workflows
dotnet

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.

16 min read
Serverless Image Processing with .NET on AWS using S3, SQS, and Lambda
dotnet

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.

21 min read
Amazon DynamoDB Streams for .NET Developers - A Complete Getting Started Guide
dotnet

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.

12 min read
Amazon SQS vs SNS - Choosing the Right Messaging Service for Your Architecture
dotnet

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.

15 min read
Amazon DynamoDB Batch Operations with .NET - Read, Write & Delete
dotnet

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.

13 min read
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