cluster-operator
RabbitMQ
cluster-operator | RabbitMQ | |
---|---|---|
4 | 95 | |
807 | 11,672 | |
4.5% | 1.6% | |
9.0 | 10.0 | |
2 days ago | 6 days ago | |
Go | Starlark | |
Mozilla Public License 2.0 | GNU General Public License v3.0 or later |
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.
cluster-operator
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PVC backed statefulsets with podManagementPolicy: parallel
Currently we run the SFS using podManagementPolicy: ordered, and have a list of 3 availability zones to start in, which starts pod 0 first in say us-east-1a, then pod 1 in us-east-1b, pod 2 in us-east-1c. This works fine however we've hit some scenarios where if there's multiple node restarts in multiple zones where rabbit pods are sitting the cluster can become unavailable and won't restart. As per this issue the fix is to run podManagementPolicy: parallel which will not require the lower number pods to be fully Ready before starting the higher.
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Top 5 cloud-native Message Queues (MQs) with Node.js support
RabbitMQ uses distributed deployment mechanism. You can set up instances in a highly available manner. Just like Memphis, RabbitMQ is cloud available. This allows you to run a highly available cluster on top of infrastructure such as kubernetes in the cloud.
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Implementing Event Driven Auto Scaling with Keda and Kubernetes
kubectl apply -f https://github.com/rabbitmq/cluster-operator/releases/latest/download/cluster-operator.yml
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?
spark-operator - Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes.
NATS - High-Performance server for NATS.io, the cloud and edge native messaging system.
ApacheKafka - A curated re-sources list for awesome Apache Kafka
mosquitto - Eclipse Mosquitto - An open source MQTT broker
kafkajs - A modern Apache Kafka client for node.js
MediatR - Simple, unambitious mediator implementation in .NET
redpanda - Redpanda is a streaming data platform for developers. Kafka API compatible. 10x faster. No ZooKeeper. No JVM!
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