Docker vs. WSO2 Enterprise Service Bus

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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WSO2 ESB is an awesome product for companies looking to venture into the world of SOA with an ESB. They have a lot of other products too that can work really well with their carbon infrastructure. The interface is simple for deploying and managing proxy services. You can also write custom modules within the ESB using Java with IDE like Eclipse

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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

• One of the basic requirement of an ESB product is that it should be able to support transformation. WSO2 ESB provides support of XSLT, so you can transform your request to whatever format. Moreover, transformations like converting your xml payload into JSON and JSON payload to XML are out of the box available.
• WSO2 ESB provides a scheduler feature, by which you can configure your own scheduler to call a proxy service at a particular time of day or or initiate sequence.
• WSO2 ESB provides excellent error handling techniques, WSO2 ESB provides detailed error handling scenarios to tackle all the situations. WSO2 ESB also provides custom error handling by which you can make your own custom error message before sending it back to client.

• 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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• While it's easy to configure for a quick start, it is not so easy to deploy by yourself in a complex production scenario.
• Not very stable for production usage, we encountered several trivial bugs that make us believe that this product is still not widely adopted.
• Lack of a built in mechanism for auto-restart in case of an application server crash.

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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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Compared to competitors the overall experience has been fine

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

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Lack of auto-restart built-in capabilities. In case of running out of memory there are no built-in methods to recover from a crash, just for example, Oracle WebLogic Node Manager.

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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 product is performing well and consuming few resources

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Our experience with the WSO2 support has beent satisfactory

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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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It's the only one truly open source and free.

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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Adding a server node is really straightforward, there are just few point in the configuration files.

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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.

• Very well documented tutorials and case studies makes it easy to learn.
• It has a really supportive community
• It is fast and it can easily handle 300 tps of average use on a VM with 4Gig RAM