What is CloudAMQP?
Fully managed, highly available RabbitMQ servers and clusters, on all major compute platforms.
CloudAMQP is a tool in the Message Queue category of a tech stack.
Who uses CloudAMQP?
26 companies reportedly use CloudAMQP in their tech stacks, including top.gg, FreeAgent, and Kesko Senukai Digital.
29 developers on StackShare have stated that they use CloudAMQP.
Amazon EC2, Heroku, DigitalOcean, Google Compute Engine, and Red Hat OpenShift are some of the popular tools that integrate with CloudAMQP. Here's a list of all 13 tools that integrate with CloudAMQP.
Pros of CloudAMQP
Some of the best customer support you'll ever find
Easy to provision
Jun 5 2015 at 7:41AM
- 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.
- Metrics - Of course the default RabbitMQ interface is available, which gives you great inspection capabilities of your queues and message throughput, but we also gives you CPU, RAM and disk graphs to help you monitor the health and resource consumption of your clusters.
CloudAMQP Alternatives & Comparisons
What are some alternatives to CloudAMQP?
See all alternatives
RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.
An easy-to-use highly available message queuing service. Built for distributed cloud applications with critical messaging needs. Provides on-demand message queuing with advanced features and cloud-optimized performance.
Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
Transmit any volume of data, at any level of throughput, without losing messages or requiring other services to be always available. With SQS, you can offload the administrative burden of operating and scaling a highly available messaging cluster, while paying a low price for only what you use.
Celery is an asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well.