Amazon Simple Notification Service (SNS) vs. RabbitMQ

The Amazon SNS service is well suited to support event notifications, monitoring applications, workflow systems, time-sensitive information updates, and mobile applications that generates or consumes notifications. It can be used to relay time-critical events to mobile applications and devices. It provides significant advantages to developers who build mobile applications that rely on real-time events. It is not well suited for hybrid cross platform mobile application frameworks at this juncture. An optimal version to meet the needs of a cross platform mobile developer is needed as generally the frameworks are not meant to manage real-time events. It is also not suited for cases where the queue management needs improvement or requires special workflows/tooling.

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It is highly recommended that if you have microservices architecture and if you want to solve 2 phase commit issue, you should use RabbitMQ for communication between microservices. It is a quick and reliable mode of communication between microservices. It is also helpful if you want to implement a job and worker mechanism. You can push the jobs into RabbitMQ and that will be sent to the consumer. It is highly reliable so you won't miss any jobs and you can also implement a retry of jobs with the dead letter queue feature. It will be also helpful in time-consuming API. You can put time-consuming items into a queue so they will be processed later and your API will be quick.

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• Built in for quicker setup within AWS ecosystem.
• Trusted as you control the users and configuration via IAM and easy access controls.
• Can be sent to S3 simple storage or for long term storage if required.
• Can be used in many regions, same configs.

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• What RabbitMQ does well is what it's advertised to do. It is good at providing lots of high volume, high availability queue. We've seen it handle upwards of 10 million messages in its queues, spread out over 200 queues before its publish/consume rates dipped. So yeah, it can definitely handle a lot of messages and a lot of queues. Depending on the size of the machine RabbitMQ is running on, I'm sure it can handle more.
• Decent number of plugins! Want a plugin that gives you an interface to view all the queues and see their publish/consume rates? Yes, there's one for that. Want a plugin to "shovel" messages from one queue to another in an emergency? Check. Want a plugin that does extra logging for all the messages received? Got you covered!
• Lots of configuration possibilities. We've tuned over 100 settings over the past year to get the performance and reliability just right. This could be a downside though--it's pretty confusing and some settings were hard to understand.

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• At times you receive access denied errors which are annoying.
• Rarely do you receive internal failure errors where you can't access the information. It is rare but it does happen.
• You are required to add an MWS Authentication Token every so often. I wish it would pull that information automatically for you so you don't have to go searching for it.

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• It breaks communication if we don't acknowledge early. In some cases our work items are time consuming that will take a time and in that scenario we are getting errors that RabbitMQ broke the channel. It will be good if RabbitMQ provides two acknowledgements, one is for that it has been received at client side and second ack is client is completed the processing part.

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It is useful for applications developed using event driven architecture. It helps in tracking and logging the events in a very timely and efficient manner. The dashboards are a little difficult to implement. But overall it is very easy to integrate with other AWS services like Lambda, API GW, S3 and DynamoDB. The permissions to access should be resolved before using it.

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RabbitMQ is very easy to configure for all supported languages (Python, Java, etc.). I have personally used it on Raspberry Pi devices via a Flask Python API as well as in Java applications. I was able to learn it quickly and now have full mastery of it. I highly recommend it for any IoT project.

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Amazon Simple Notification Sevices (SNS) support depends on your usage pattern and definitely on your support plan as an enterprise with AWS. Before reaching out to support you should read their documentation, as they have mentioned almost all the common issues and their solutions there. However, for specific issues, they generally respond in 1-2 business days.

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I gave it a 10 but we do not have a support contract with any company for RabbitMQ so there is no official support in that regard. However, there is a community and questions asked on StackOverflow or any other major question and answer site will usually get a response.

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Amazon’s SNS is incredibly easy to set up compared to the
more powerful, but complex, Kafka flavours.

SNS’s core advantages are –

· no setup/no maintenance

· either a queue (SQS) or a topic (SNS)

· various limitations (on size, how long a message lives, etc)

· limited throughput: you can do batch and concurrent requests, but still
achieving high throughputs would be expensive

· SNS has notifications for email, SMS, SQS, HTTP built-in.

· no "message stream" concept Overall, it would be the best choice to get into the concepts of Pub/Sub concepts as although it has limitations it can provide significant capabilities and solutions

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RabbitMQ has a few advantages over Azure Service Bus 1) RMQ handles substantially larger files - ASB tops out at 100MB, we use RabbitMQfor files over 200MB 2) RabbitMQ can be easily setup on prem - Azure Service Bus is cloud only 3) RabbitMQ exchanges are easier to configure over ASB subscriptions ASB has a few advantages too 1) Cloud based - just a few mouse clicks and you're up and running

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• Amazon Simple Notification Service (SNS) saved us a lot of extra coding time by providing straightforward functionality we needed in our ad campaign automation tool.
• Amazon Simple Notification Service (SNS) allows us to maintain a consistent, serverless model within our applications.

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• Positive: we don't need to keep way too many backend machines around to deal with bursts because RabbitMQ can absorb and buffer bursts long enough to let an understaffed set of backend services to catch up on processing. Hard to put a number to it but we probably save $5k a month having fewer machines around.
• Negative: we've got many angry customers due to queues suddenly disappearing and dropping our messages when we try to publish to them afterward. Ideally, RabbitMQ should warn the user when queues expire due to inactivity but it doesn't, and due to our own bugs we've lost a lot of customer data as a result.
• Positive: makes decoupling the web and API services from the deeper backend services easier by providing queues as an interface. This allowed us to split up our teams and have them develop independently of each other, speeding up software development.

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