django-aws-backend
By django-aws
RabbitMQ
Open source RabbitMQ: core server and tier 1 (built-in) plugins (by rabbitmq)
| django-aws-backend | RabbitMQ | |
|---|---|---|
| 2 | 92 | |
| - | 11,608 | |
| - | 1.0% | |
| - | 10.0 | |
| - | 3 days ago | |
| Starlark | ||
| - | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
django-aws-backend
Posts with mentions or reviews of django-aws-backend.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-08-12.
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Deploying Django Application on AWS with Terraform. Setting up Celery and SQS
You can find the source code of backend and infrastructure projects here and here.
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Deploying Django Application on AWS with Terraform. GitLab CI/CD
Create projects for Django and Terraform in this group. Be sure to remove the "Initialize repository with a README" option to create a clean repository.
RabbitMQ
Posts with mentions or reviews of RabbitMQ.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-04-08.
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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?
When comparing django-aws-backend and RabbitMQ you can also consider the following projects:
django-aws-infrastructure
NATS - High-Performance server for NATS.io, the cloud and edge native messaging system.
celery - Distributed Task Queue (development branch)
mosquitto - Eclipse Mosquitto - An open source MQTT broker
Redis - Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.
MediatR - Simple, unambitious mediator implementation in .NET
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