CloudAMQP vs Kestrel: What are the differences?
Developers describe CloudAMQP as "RabbitMQ as a Service". Fully managed, highly available RabbitMQ servers and clusters, on all major compute platforms. On the other hand, Kestrel is detailed as "Simple, distributed message queue system". Kestrel is based on Blaine Cook's "starling" simple, distributed message queue, with added features and bulletproofing, as well as the scalability offered by actors and the JVM.
CloudAMQP and Kestrel can be categorized as "Message Queue" tools.
Some of the features offered by CloudAMQP are:
- Support - 24/7 support, via email, chat and phone.
- Real time metrics and alarms - Get notified in advanced when your queues are growing faster than you're consuming them, when you're servers are over loaded etc. and take action before it becomes a problem.
- Auto-healing - Our monitoring systems automatically detects and fixes a lot of problems such as kernel bugs, auto-restarts, RabbitMQ/Erlang version upgrades etc.
On the other hand, Kestrel provides the following key features:
- Written by Robey Pointer
- Starling clone written in Scala (a port of Starling from Ruby to Scala)
- Queues are stored in memory, but logged on disk
Kestrel is an open source tool with 2.8K GitHub stars and 326 GitHub forks. Here's a link to Kestrel's open source repository on GitHub.