liftbridge
RabbitMQ
liftbridge | RabbitMQ | |
---|---|---|
10 | 92 | |
2,536 | 11,608 | |
0.2% | 1.0% | |
6.3 | 10.0 | |
15 days ago | 5 days ago | |
Go | Starlark | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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liftbridge
- Kafka alternatives
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Understanding NATS.io concepts vs. Kafka - similarities and differences
Liftbridge (https://liftbridge.io/) is more or less the NATS Kafka versioning.
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Gufo Liftbridge - the Python asyncio Liftbridge client
[Gufo Liftbridge](https://pypi.org/project/gufo-liftbridge/) is the Python asyncio Liftbridge client.
- What I Wish Someone Would Have Told Me About Using Rabbitmq
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On Efficiently Partitioning a Topic in Apache Kafka
https://liftbridge.io/
Apache Pulsar might be worth a look, but it's actually more complex under the hood than Kafka, but has a lot of features built-in that either aren't in FOSS Kafka yet, like tiered storage, or won't be until Confluent doesn't dominate the PMC (like an integrated schema registry), or just can't be done very nicely, if at all, like decent multi-tenancy.
That said, it's a fast moving target, the code quality last I looked was patchy in places, ditto the documentation for both it and Bookkeeper, and the admin overhead is higher (managing bookies and brokers and Zookeepers vs. just brokers and ZK with Kafka, or when KRaft is production ready, just brokers).
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Processing billions of events in real time at Twitter
This is basically an ad for GCP right?
That said, it looks like Kafka is by far and away the way to handle persistent logs/events at scale. AFAIK a company here in Japan called LINE has all their messaging flowing through a large kafka cluster themselves.
Wonder if anyone is running large NATS Jetstream[0]/Liftbridge[1] or Pulsar[2] (yahoo runs those) clusters. I guess Pulsar might be #2 in terms of adoption at large scale?
[0]: https://docs.nats.io/jetstream/jetstream
[1]: https://liftbridge.io/
[2]: https://pulsar.apache.org/
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Most primitive lighweight alternative to Kafka?
Do you need the messages to be durable, if so you can have a look at Liftbridge: - https://liftbridge.io/ - https://github.com/liftbridge-io/liftbridge
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ZooKeeper-free Kafka is out. First Demo
And if you want closer kafka semantics built on top of nats, check out liftbridge:
https://liftbridge.io/
- NATS, NATS Streaming & NATS JetStream + How to build a JetStream Cluster & Go Client
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?
jetstream - JetStream Utilities
NATS - High-Performance server for NATS.io, the cloud and edge native messaging system.
Apache Kafka - Mirror of Apache Kafka
mosquitto - Eclipse Mosquitto - An open source MQTT broker
MediatR - Simple, unambitious mediator implementation in .NET
KrakenD - Ultra performant API Gateway with middlewares. A project hosted at The Linux Foundation
nsq - A realtime distributed messaging platform
glow - Glow is an easy-to-use distributed computation system written in Go, similar to Hadoop Map Reduce, Spark, Flink, Storm, etc. I am also working on another similar pure Go system, https://github.com/chrislusf/gleam , which is more flexible and more performant.
BeanstalkD - Beanstalk is a simple, fast work queue.
redpanda - Redpanda is a streaming data platform for developers. Kafka API compatible. 10x faster. No ZooKeeper. No JVM!
rq - Simple job queues for Python