cookiecutter-faststream
RabbitMQ
cookiecutter-faststream | RabbitMQ | |
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1 | 95 | |
9 | 11,672 | |
- | 1.6% | |
6.1 | 10.0 | |
6 months ago | 7 days ago | |
Python | Starlark | |
- | GNU General Public License v3.0 or later |
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cookiecutter-faststream
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FastStream: Python's framework for Efficient Message Queue Handling
cookiecutter https://github.com/airtai/cookiecutter-faststream.git
RabbitMQ
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Building Llama as a Service (LaaS)
Although they did not make it into production, I experimented with the RabbitMQ message broker, Python (Django, Flask), Kubernetes + minikube, JWT, and NGINX. This was a hobby project, but I intended to learn about microservices along the way.
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A Developer's Journal: Simplifying the Twelve-Factor App
Messaging/Queueing Systems (Amazon SQS, RabbitMQ, Beanstalkd)
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FastStream: Python's framework for Efficient Message Queue Handling
Later, we discovered Propan, a library created by Nikita Pastukhov, which solved similar problems but for RabbitMQ. Recognizing the potential for collaboration, we joined forces with Nikita to build a unified library that could work seamlessly with both Kafka and RabbitMQ. And that's how FastStream came to be—a solution born out of the need for simplicity and efficiency in microservices development.
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The Complete Microservices Guide
Inter-Service Communication: Middleware provides communication channels and protocols that enable microservices to communicate with each other. This can include message brokers like RabbitMQ, Apache Kafka, RPC frameworks like gRPC, or RESTful APIs.
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Project Structure Review [.Net] [Console]
This is an implementation of pub/sub. The publisher is on a separate project. The message broker is Azure Service Bus. We use NServiceBus for code implementation. I use rabbitMQ broker for local tests. Nothing I can do about the tech stack. This is more of a high level single project structure review 😅
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The Role of Queues in Building Efficient Distributed Applications
RabbitMQ is a robust and highly configurable open-source message broker that implements the Advanced Message Queuing Protocol (AMQP).
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Should I chain calls in backend?
When using third-party services, especially within a "transaction", it's often a good idea to use a persistent Message Queue (MQ) system like RabbitMQ. Go through all their tutorials to get a really good understanding of how message queues work and how they can be used to solve your problem.
- Node still seems better than python after all this time for web server speed but..
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Delayed events pattern, no more crons
The best technical solution to provide the event queues is to use a message-broker technology like RabbitMQ.
- RabbitMQ 3.12.0 Released
What are some alternatives?
faststream-gen - The faststream-gen library uses advanced AI to generate FastStream code from user descriptions, speeding up FastStream app development.
NATS - High-Performance server for NATS.io, the cloud and edge native messaging system.
fastkafka - FastKafka is a powerful and easy-to-use Python library for building asynchronous web services that interact with Kafka topics. Built on top of Pydantic, AIOKafka and AsyncAPI, FastKafka simplifies the process of writing producers and consumers for Kafka topics.
mosquitto - Eclipse Mosquitto - An open source MQTT broker
Propan - Propan is a powerful and easy-to-use Python framework for building event-driven applications that interact with any MQ Broker
MediatR - Simple, unambitious mediator implementation in .NET
faststream - FastStream is a powerful and easy-to-use Python framework for building asynchronous services interacting with event streams such as Apache Kafka, RabbitMQ, NATS and Redis.
nsq - A realtime distributed messaging platform
aiokafka - asyncio client for kafka
BeanstalkD - Beanstalk is a simple, fast work queue.
spec - The AsyncAPI specification allows you to create machine-readable definitions of your asynchronous APIs.
rq - Simple job queues for Python