amazon-sqs-java-messaging-lib
RabbitMQ
amazon-sqs-java-messaging-lib | RabbitMQ | |
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29 | 92 | |
0 | 11,608 | |
- | 1.0% | |
10.0 | 10.0 | |
over 2 years ago | 7 days ago | |
Starlark | ||
Apache License 2.0 | GNU General Public License v3.0 or later |
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amazon-sqs-java-messaging-lib
- PubNubとIFTTTによるSMS通知システム
- PubNub 및 IFTTT를 사용한 SMS 알림 시스템
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SMS Notification System with PubNub and IFTTT
Save to SQS (i.e. save each Event to Amazon’s SQS queuing service)
- System powiadomień SMS z PubNub i IFTTT
- SMS-Benachrichtigungssystem mit PubNub und IFTTT
- Système de notification par SMS avec PubNub et IFTTT
- Wie man Ereignisse von PubNub zu RabbitMQ streamt
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Starting My AWS Certification Journey as a Certified Cloud Practitioner
Amazon SQS
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A Developer's Journal: Simplifying the Twelve-Factor App
Messaging/Queueing Systems (Amazon SQS, RabbitMQ, Beanstalkd)
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Building Mature Content Detection for Mod Tools
The last stage is productionizing the model. The goal of this phase is to create a system to process each image/video, gather the relevant features and inputs to the models, integrate the models into a hosting service, and relay the corresponding model predictions to downstream consumers like the MCF system. We used an existing Safety service, Content Classification Service, to implement the aforementioned system and added two specialized queues for our processing and various service integrations. To use the model for online, synchronous inference, we added it to Gazette, Reddit’s internal ML inference service. Once all the components were up and running, our final step was to run A/B tests on Reddit to understand the live impact on areas like user engagement before finalizing the entire detection system.
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?
90DaysOfDevOps - This repository started out as a learning in public project for myself and has now become a structured learning map for many in the community. We have 3 years under our belt covering all things DevOps, including Principles, Processes, Tooling and Use Cases surrounding this vast topic.
NATS - High-Performance server for NATS.io, the cloud and edge native messaging system.
aws-stable-diffusion - How to run Stable Diffusion Automatic1111 WebUI on AWS EC2 instance
mosquitto - Eclipse Mosquitto - An open source MQTT broker
sqs-consumer - Build Amazon Simple Queue Service (SQS) based applications without the boilerplate
MediatR - Simple, unambitious mediator implementation in .NET
ApacheKafka - A curated re-sources list for awesome Apache Kafka
nsq - A realtime distributed messaging platform
amazon-sns-java-extended-client-lib - This AWS SNS client library allows to publish messages to SNS that exceed the 256 KB message size limit.
BeanstalkD - Beanstalk is a simple, fast work queue.
aws-lambda-java-libs - Official mirror for interface definitions and helper classes for Java code running on the AWS Lambda platform.
rq - Simple job queues for Python