{"repo":"devstress/FlinkDotnet","free":true,"listed":false,"github":"https://github.com/devstress/FlinkDotnet","clone":"git clone https://github.com/devstress/FlinkDotnet.git","description":"FlinkDotnet lets you build and run Apache Flink streaming jobs using a fluent C# API. Powered by Microsoft Aspire, it provides one-click distributed orchestration for Kafka, Flink, Temporal, Prometheus, Grafana, and FlinkDotnet itself; making end-to-end distributed stream processing seamless for .NET developers.","language":"C#","stars":20,"topics":["aspire","big-data","dotnet","flink","flink-examples","kafka","observability","real-time","stream-processing","streaming"],"license":"Apache-2.0","category":"data-pipelines","readme_excerpt":"FlinkDotNet FlinkDotNet is a .NET framework that enables developers to write Apache Flink 2.1 streaming jobs in C# and submit them to production Flink clusters. This repo also provides a comprehensive distributed messaging architecture that enables developers to build stream processing using Apache Flink 2.1, Apache Kafka, Temporal workflows, and Microsoft Aspire orchestration - all accessible through a native .NET SDK. What is Kafka and Flink? Why Do We Need Them? The Problems You'll Face as Your Application Grows Stage What Works Problems You'll Hit Why Simple Solutions Break ----------- ---------------- ------------------------- -------------------------------- Starting Out Single server + database Everything runs on one machine Works great for small apps! Growing Fast Need to handle more users Server crashes under heavy load One machine can't handle thousands of users at once Data gets lost when server restarts No backup - if server dies, everything is gone Slow response times Processing requests one by one is too slow Going Big Need multiple servers How do servers talk to each other? Direct connections become a tangled mess Messages get lost between servers Network failures mean data disappears Can't track long-running processes If a process takes hours, how do you monitor it? Need to process data in real-time Batch processing is too slow for live data Enterprise Scale Millions of users globally Coordinating across data centers Hundreds of servers need to work together s","default_branch":null,"files":null,"tree":[],"storefront":"/r/devstress","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/devstress/FlinkDotnet/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}