Docker vs. Rackspace Fabric

You are going to be able to find the most resources and examples using Docker whenever you are working with a container orchestration software like Kubernetes. There will always some entropy when you run in a container, a containerized application will never be as purely performant as an app running directly on the OS. However, in most scenarios this loss will be negligible to the time saved in deployment, monitoring, etc.

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I am highly likely to recommend Rackspace Cloud Monitoring to a colleague. This is assuming they have a decent background in working on cloud servers. If you don't mind digging in yourself to solve problems, then this is a great resource. If you are just learning how to set up servers on your own, then I recommend at least hiring someone to help you use the service. With that being said, Rackspace makes it easy for people you may hire to seamlessly work within your account. They get their own separate developer account.

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• Packaging of application to limit the space occupied
• Ease of running the application
• Provide multiple ways to handle the application issues and integration of different components like pipeline, ansible, terraform etc

• Immediate email notifications: In case a service is down on our servers, we get immediate email notifications via rackspace cloud monitoring service. This helps us to know about the issues and we get in contact with support team to get it resolved.
• Configuration on specific services: We can configure this monitoring on specific services. So for example if i don't want to get notified if MySQL concurrent users limit reached, then I do not need to configure this monitoring for MySQL. I can just use it whenever needed for defined services.
• Group emails and technical contacts emails: The monitoring service can send email alerts to a number of email addresses. Primarily the ones who are added as a technical contact. It helps all people get notified about any issue.
• Auto ticket management: Rackspace automatically creates a support ticket when a service is down and is notified by their monitoring service.

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• Docker hub image retention policy can be relaxed
• Docker hub policies can be more developer friendly
• Docker CLI help section can be improved
• Image and container storage (local) management can be optimized

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• It would be nice if there were more templates so that beginners could easily create complex monitors
• I seemed to stumble upon the cloud monitoring service after having Rackspace for a while

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I have been using Docker for more than 3 years and it really simplifies the modern application development and deployment. I like the ability of Docker to improve efficiency, portability and scalability for developers and operations teams. Another reason for giving this rating is because Docker integrates CI/CD pipelines very well

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Haven't seen any outages, fatal/unrecoverable errors in my usage so far. Enough said.

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Docker Desktop. The CPU high usage is a known issue. Needs fixing. Otherwise, it is great overall. Would not use anything else still.

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The reason why we are still using Docker right now is due to that is the best among its peers and suits our needs the best. However, the trend we foresee for the future might indicate Amazon lambda could potentially fit our needs to code enviornmentless in the near future.

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I also used Monitis as a monitoring service for our server. Rackspace'S monitoring sends immediate notifications while Monitis might take a couple minutes to understand if a service is down. Since Rackspace has their monitoring integrated with their support system, it helps us a lot and we don't need to call support all the time.

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It is the only tool in our toolset that has not [had] any issues so far. That is really a mark of reliability, and it's a testimony to how well the product is made, and a tool that does its job well is a tool well worth having. It is the base tool that I would say any organisation must have if they do scalable deployment.

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• Reduces the number of virtual machine which impacted our quarterly billing
• Using docker with proxy we run multiple application on same port on same host.
• impact on billing is we have to provide docker training to the people who are working on it.

• I have overpaid in the past for services I didn't need
• The steepish learning curve might slow things down at first
• I have learned a lot using Rackspace Cloud Monitoring!

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A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info