RabbitMQ
nodejs-pubsub
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RabbitMQ | nodejs-pubsub | |
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92 | 24 | |
11,590 | 512 | |
1.8% | 1.8% | |
10.0 | 8.6 | |
5 days ago | 22 days ago | |
Starlark | TypeScript | |
GNU General Public License v3.0 or later | Apache License 2.0 |
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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
nodejs-pubsub
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Event-Driven Architecture 101
Secondly, Go is incredibly easy to learn and in my opinion, maintain. This means that if you're a growing company and expect to onboard new teams and team members, having Go as a basis for your systems should mean that new engineers can get up to speed quickly. Below is a small sample application that can connect to Google PubSub, subscribe to a topic, send an event and then clean up. In total, its 82 lines of code including liberal line breaks. Even if you have never written or read a line of Go before, I hope you'll agree that it's quite clear and readable:
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Kafka alternatives
Pub/Sub
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Top 6 message queues for distributed architectures
Google Cloud Pub/Sub is a fully-managed, globally scalable and secure queue provided by Google Cloud for asynchronous processing messages. Cloud Pub/Sub has many of the same advantages and disadvantages as SQS due to also being cloud hosted. It has a free and paid tier.
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Job Scheduling on Google Cloud Platform
Cloud Pub/Sub: A global messaging service for event-driven architectures
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Messaging Patterns 101: A Comprehensive Guide for Software Developers
Google Cloud Pub/Sub (*https://cloud.google.com/pubsub*)
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Effortlessly Scale Your Applications with FaaS: Learn How Functions as a Service Can Help You Grow and Thrive
Google Cloud Functions is a FaaS offering from Google Cloud Platform (GCP). It allows developers to run their code in response to events, such as changes in a database or the arrival of a message in a Pub/Sub topic. Like AWS Lambda, Google Cloud Functions can be used to build a variety of applications, including serverless websites, data processing pipelines, and real-time data streams.
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Mixing GCloud and F#
that gets triggered when a Pub/Sub topic is fired (from the webhook function)
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What is the best data storage solution for high-frequency (near real-time) updates
Maybe Pub/Sub from GCP?
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Kafka on GKE cluster security guidelines
I'm curious - given your limited knowledge, is there a reason you're looking to self host this in your own cluster rather than using a managed service like https://cloud.google.com/find-a-partner/partner/confluent-inc?redirect= or just native Google PubSub https://cloud.google.com/pubsub/ ?
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Moving to Google Cloud managed services, from a FinOps point of view
Pub/Sub, the GCP managed service for message queuing, has two levels of services on standard and one Lite. Standard is the high availability version of it and Lite could be a zonal or regional service with infrastructure managed by the client. Obviously, the model pricing will be very different with a x10 between Standard and zonal Lite. However, the model pricing is the same is based on throughput for message publishing, message storage costs and egress for message distribution. Here, we totally break the similarity with a VM model (except on storage). Everything is drived on volumetry and performance of inbound and outbound messages.
What are some alternatives?
NATS - High-Performance server for NATS.io, the cloud and edge native messaging system.
twitch - Interact with Twitch's API, chat and subscribe to events via PubSub and EventSub.
mosquitto - Eclipse Mosquitto - An open source MQTT broker
mitt - 🥊 Tiny 200 byte functional event emitter / pubsub.
MediatR - Simple, unambitious mediator implementation in .NET
svelte-persisted-store - A Svelte store that persists to localStorage
nsq - A realtime distributed messaging platform
BeanstalkD - Beanstalk is a simple, fast work queue.
MySQL - MySQL Server, the world's most popular open source database, and MySQL Cluster, a real-time, open source transactional database.
rq - Simple job queues for Python
nodejs-storage - Node.js client for Google Cloud Storage: unified object storage for developers and enterprises, from live data serving to data analytics/ML to data archiving.