#csharp #architecture #asp_net_core #asp_net_core_mvc #asp_net_identity #aspnet_core #aspnetcore #automapper #clean_code #cqrs #ddd #ef_core #equinox #event_sourcing #eventstore #fluentvalidation #jwt #mediatr #onion_architecture #swagger #visual_studio

https://github.com/EduardoPires/EquinoxProject

#java #event_streaming #messaging #pubsub #pulsar #queuing #streaming

https://github.com/apache/pulsar

#javascript #apis #automation #cli #data #data_flow #datasets #event_source #event_sources #event_sourcing #eventsourcing #eventstream #integration_flow #integrations #ipaas #low_code #low_code_development_platform #realtime #workflow #workflows

https://github.com/PipedreamHQ/pipedream

#c_lang #epool #event_loop #formdata #gin #http #https #libevent #restful

https://github.com/ithewei/libhv

#powershell #analysis #dfir #event #forensics #hunting #incident #log #logs #response #sigma #threat #timeline #windows

https://github.com/Yamato-Security/WELA

#typescript #apache_kafka #big_data #cluster_management #event_streaming #hacktoberfest #kafka #kafka_brokers #kafka_client #kafka_cluster #kafka_connect #kafka_manager #kafka_producer #kafka_streams #kafka_ui #opensource #streaming_data #streams #web_ui

https://github.com/provectus/kafka-ui

#csharp #cqrs #dotnet_core #event_sourcing #example #hacktoberfest #marten #mediatr #netcore

https://github.com/oskardudycz/EventSourcing.NetCore

#go #alpinejs #clean_architecture #consul_connect #ddd #echo_framework #event_driven_architecture #event_driven_microservices #golang #grpc_gateway #microservices #nomad #postgresql #rabbitmq #terraform #vertical_slice_architecture

https://github.com/thangchung/go-coffeeshop

#java #data_streaming #event_streaming #framework #inlong #massive_data_integration #one_stop_service

https://github.com/apache/inlong

#go #architecture #argocd #best_practices #codegen #csi_driver #ddd #ddd_sample #event_sourcing #example #gitops #golang #helm_chart #k8s #kafka #kubernetes #layered_architecture #microservices #mq #shortlink

https://github.com/shortlink-org/shortlink

#csharp #cqrs #database #event_sourcing #event_store #eventsourcing #eventstore

EventStoreDB is a special kind of database that stores and streams business events in a way that can't be changed. This helps businesses understand what happened and why, giving them real-time insights. It's especially good for systems that use many small services (microservices) and event-driven architecture. With EventStoreDB, you can easily manage and analyze your data without worrying about the underlying infrastructure, especially with Event Store Cloud which handles the management for you. This makes it easier to build secure and highly available applications. The benefit to you is that you get clear, real-time data insights and simplified management, making your work more efficient and reliable.

https://github.com/EventStore/EventStore

#go #cqrs #event_driven #event_sourcing #events #go #golang #kafka #nats #rabbitmq #reactive #sagas #stream_processing #watermill

Watermill is a tool for working with message streams in Go. It helps you build event-driven applications easily and efficiently. You can use it with various messaging systems like Kafka, RabbitMQ, or even HTTP and MySQL. Watermill is designed to be easy to understand, fast, flexible, and resilient. It provides many examples and a getting started guide to help you get going quickly. Using Watermill, you can handle messages in a simple way, similar to how you work with HTTP requests, making it easier to build distributed and scalable services without needing deep knowledge of complex systems. This makes it beneficial for developers who want to focus on their application logic rather than the underlying messaging infrastructure.

https://github.com/ThreeDotsLabs/watermill

#go #containers #event_driven #kubernetes #microservice #microservices #pubsub #serverless #sidecar #state_management

Dapr is a tool that helps developers build strong, scalable, and reliable microservices easily. It works with any programming language and framework, making it very flexible. Dapr adds a small side-car to your application that handles complex tasks like state management, messaging, and event triggers, so you don't have to worry about these details. This means you can focus on writing your code without getting bogged down in low-level details. Dapr also runs on various platforms, including cloud, edge devices, and local machines, making it very versatile. Overall, Dapr simplifies building distributed applications and makes them more consistent and portable.

https://github.com/dapr/dapr

#java #apache_kafka #big_data #cluster_management #event_streaming #hacktoberfest #kafka #kafka_brokers #kafka_client #kafka_cluster #kafka_connect #kafka_manager #kafka_producer #kafka_streams #kafka_ui #opensource #streaming_data #streams #web_ui

UI for Apache Kafka is a free, open-source web tool that helps you manage and monitor Apache Kafka clusters easily. It's lightweight and fast, making it simple to track key metrics like brokers, topics, partitions, production, and consumption. You can set it up quickly with a few commands and run it locally or in the cloud. The tool offers features like multi-cluster management, performance monitoring, browsing messages, and dynamic topic configuration. It also supports secure authentication and role-based access control. This makes it easier to observe data flows, troubleshoot issues, and ensure optimal performance of your Kafka clusters.

https://github.com/provectus/kafka-ui

#csharp #architecture #aspnetcore #clean_architecture #cqrs #ddd #dotnet #dotnetcore #event_driven_architecture #event_sourcing #kubernetes #masstransit #messaging #microservice #microservices #oauth2 #opentelemetry #software_architecture #software_design #software_engineering #vertical_slice_architecture

Migrating from a monolithic architecture to a cloud-native microservices architecture offers several benefits. It improves scalability, allowing different parts of the application to grow independently. This approach also enhances reliability by isolating faults, so if one service fails, others continue to work. Additionally, microservices enable faster deployment and updates, as each service can be developed and deployed separately. This flexibility allows teams to use the best technology for each service, making development more efficient and agile[2][3][5].

https://github.com/meysamhadeli/monolith-to-cloud-architecture

#go #cli #event_driven #event_driven_architecture #queues #serverless #serverless_functions #workflow_engine #workflows

Inngest lets you write reliable, long-running background functions called durable workflows that automatically handle retries, scheduling, and state management without needing to manage infrastructure like queues or servers. You write functions in your preferred language using their SDKs, run and test them locally with the Inngest Dev Server, then deploy them on your own infrastructure or Inngest’s platform. It supports complex workflows with steps that retry on failure, concurrency control, and event triggers. This saves you time and effort by simplifying event-driven app development, improving reliability, and scaling automatically without extra setup. It also offers tools for monitoring and managing workflows easily.

https://github.com/inngest/inngest