questitto
RabbitMQ
questitto | RabbitMQ | |
---|---|---|
1 | 95 | |
15 | 11,672 | |
- | 1.6% | |
1.5 | 10.0 | |
about 1 year ago | 3 days ago | |
Shell | Starlark | |
MIT License | GNU General Public License v3.0 or later |
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questitto
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Mosquitto: An open-source MQTT broker
I really like Mosquitto, I'd recommend it for quickly getting started hacking together IoT projects on the hobby / side project scale. One of our community (QuestDB) contributors put together a docker compose example that I thought was pretty nice for quick prototyping, could be convenient for someone here:
https://github.com/shantanoo-desai/questitto
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?
mop - MQTT on Pulsar implemented using Pulsar Protocol Handler
NATS - High-Performance server for NATS.io, the cloud and edge native messaging system.
Aedes - Barebone MQTT broker that can run on any stream server, the node way
mosquitto - Eclipse Mosquitto - An open source MQTT broker
MediatR - Simple, unambitious mediator implementation in .NET
zigbee2mqtt - Zigbee 🐝 to MQTT bridge 🌉, get rid of your proprietary Zigbee bridges 🔨
nsq - A realtime distributed messaging platform
BeanstalkD - Beanstalk is a simple, fast work queue.
rq - Simple job queues for Python
vernemq - A distributed MQTT message broker based on Erlang/OTP. Built for high quality & Industrial use cases. The VerneMQ mission is active & the project maintained. Thank you for your support!
Apache Qpid - Mirror of Apache Qpid