The Social Media flow with CQRS, DDD and Kafka (all in .NET Ecosystem, dude :D)
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Updated
Aug 28, 2023 - C#
The Social Media flow with CQRS, DDD and Kafka (all in .NET Ecosystem, dude :D)
Distributed APIs utilizes modular services for communication (Kafka, gRPC). Data storage is optimized with Postgres, MongoDB, Elasticsearch & Redis. OpenTelemetry & Serilog offer comprehensive observability. Supports REST clients with OAuth/OpenID auth. Based on an e-commerce scenario.
Using kafka technology with .Netcore
Bachelor's thesis "Microservices orchestration in a system for car parameters monitoring and analysis"
latihan microservice eventdriven apache kafka cqrs-es mongodb
🔧 Playground for testing the Apache Kafka event streaming platform using Confluent's Apache Kafka .NET client.
Small CQRS web-application
um sistema de venda de ingressos dividido em duas partes, onde uma fique gerando a vendas de ingressos ao monte como se fosse um horário de pico das vendas para o show de um grande artista. E para que o sistema não caia teremos um processador dessas vendas, distribuído em diversas aplicações para aguentar a alta demanda de ingressos vendidos.
Category management system uses Apache Kafka and Debezium for real-time data streaming, while EF Core and PostgreSQL ensure secure storage. It prioritizes user experience and utilizes Elasticsearch for efficient data indexing.
Aplicação de exemplo utilizando as tecnologias Angular 6, ASP.NET Web API e Apache Kafka.
Simple .NET Core console application | Exploring Apache Kafka | Confluent | Event-Driven-Architecture (EDA)
Kafka broker message processing service generator to simplify communication in a microservices environment. Can be either statefull (on any storage) or stateless.
Ecossistema Kafka com WebApi e Console Application
Social Media Post Microservices based on CQRS and Event Sourcing. Powered by .NET and Apache Kafka.
Course project. PDF Reports Generator - web service for pdf reports generation. Provides RESTful and gRPC APIs and client app.
.NET 8 Microservices Architecture with CQRS and Event Sourcing supported by Kafka. Strictly CQRS pattern, Mediator pattern from scratch, DDD concepts, Event Store with MongoDB, Database-Per-Service Pattern, Replaying events from store implementation.
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