DotNet Full Stack Dev

  In today's fast-paced tech world, building applications that can handle scale while minimizing infrastructure management is a must. And guess what? With AWS serverless architecture , you can achieve just that. Whether you're building a new app or migrating from a traditional monolithic setup, AWS Serverless combined with .NET Core gives you a powerful, efficient, and scalable way to deploy your application. In this guide, we’ll walk through building an AWS serverless application using S3 , DynamoDB , API Gateway , and AWS Lambda —all in the language we know and love, C# . So, get your developer hat on, and let’s dive into the cloud! Why Go Serverless with AWS? Before we get started with code, let’s address why you’d even want to go serverless. Here’s what AWS Serverless architecture brings to the table: No Server Management: Say goodbye to worrying about server patches or capacity planning. AWS handles it all. Cost Efficiency: You only pay for what you use—when your Lambd...

  So, you’re diving into AWS and feeling a little overwhelmed by the sheer number of services, huh? We’ve all been there. With all the shiny options AWS gives us, it’s easy to get stuck asking: Which service should I use? Well, buckle up, because today we’re putting some AWS services head-to-head in a friendly showdown. By the end, you’ll know exactly which tool fits your project’s needs. Ready? Let’s dive in! 1: AWS Redshift vs DynamoDB Both Redshift and DynamoDB are powerful databases, but they serve very different purposes. Choosing the right one can either make your project soar—or grind it to a halt. AWS Redshift : Think of Redshift as your go-to for massive analytical workloads . If you’ve got petabytes of structured data and need to run complex queries, Redshift is your superhero. It’s built for data warehousing, ideal for companies drowning in data and needing deep insights fast. DynamoDB : On the flip side, DynamoDB is like the sleek sports car of AWS databases: super-fas...

  In the world of big data, Amazon Redshift stands out as a powerful, fully managed data warehouse service that enables you to analyse large datasets using SQL queries. However, if not optimized properly, even the most robust systems can experience performance degradation. That's why it's essential to employ optimization techniques that ensure your Redshift cluster runs efficiently. In this blog, we’re going to explore some fancy and effective optimization techniques for AWS Redshift to help you supercharge your queries and keep your cluster running like a well-oiled machine. Let’s jump into the deep end and get your data warehouse optimized! 1. Choose the Right Distribution Style Amazon Redshift supports three types of distribution styles: KEY, EVEN, and ALL . Choosing the right one can significantly impact query performance. But how do you decide which one to use? KEY distribution : Use this if you're joining large tables. Rows with the same values will be stored on the...

  In the fast-paced world of cloud-native development, deploying your .NET applications in a scalable, resilient way is the name of the game. And what's better than leveraging AWS EKS (Elastic Kubernetes Service) to deploy your .NET Core Item API to the cloud in a way that’s as flexible as it is powerful? Let’s walk through the process of how you can get your .NET Core Item API running in AWS EKS like a pro — and have some fun along the way! Why AWS EKS? And Why Kubernetes? 🤔 Before we dive into the nitty-gritty, let's set the stage. Kubernetes has become the de facto standard for managing containerized applications, and AWS EKS is a managed service that lets you run Kubernetes clusters without needing to maintain the control plane (AWS takes care of that!). Here’s why you’d want to use AWS EKS for your .NET Core API: Scalability : Easily scale your application up or down based on demand. Resilience : Automated recovery and failover in case of issues. Cost-Efficiency : Pay ...

  Working with files in distributed environments can be tricky, especially when you need to maintain high availability, scalability, and security. That’s where Amazon Elastic File System (EFS) comes into play, offering a fully managed, scalable file storage solution for use with AWS services and on-premise resources. In this blog, we’ll dive into how you can upload and download CSV files using EFS in a .NET Core application. Let’s break it down step by step, and as always, we’ll make it interactive, engaging, and packed with useful code snippets! Why Use Amazon EFS? 🤔 Amazon EFS is a great choice for: Elastic storage : It grows and shrinks as you add or remove files. Multi-AZ support : Accessible from multiple availability zones, perfect for distributed applications. Secure and reliable : EFS offers encryption and seamless integration with AWS IAM and VPCs. For scenarios where you need to manage CSV files in a multi-instance .NET Core application , EFS can act as a shared storage...

  When we talk about distributed microservices, Service Fabric immediately comes to mind. It's a powerful platform, particularly associated with Microsoft Azure, for building scalable and reliable microservices-based applications. But what if you're running your infrastructure on AWS and you're a fan of Service Fabric? Is there a way to leverage it? The answer might surprise you! In this blog, we’ll dive deep into what Service Fabric is, explore AWS alternatives, and see how both ecosystems can be combined to create robust solutions for your microservices needs. Let’s get started! What is Service Fabric? At its core, Service Fabric is a distributed systems platform by Microsoft that simplifies the packaging, deployment, and management of scalable microservices and containers. It was initially designed for Azure but can run on any cloud infrastructure, including AWS . Key benefits of Service Fabric include: Microservices Management : Service Fabric abstracts away the comp...