Docker vs. Rocket DevOps

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.

Incentivized

Rocket Aldon is perfect for simple changes to traditional IBM i development using RPGLE, CL, and DDS. It is great for finding related objects that are referenced in many locations and helping recompile all of these objects. However, Aldon has a particularly hard time with SQL views. For some reason, it is determined to lock every table related to a view even though this is not required by the operating system. Whenever one view references another view, you are always in danger of losing a view permanently if you didn't check it out and promote it. To clarify, imagine you created a view CUSTOMER_INFO. Then you make another view called CUSTOMER_SHIPMENTS that joins the CUSTOMER_INFO to a shipping table. If you ever change CUSTOMER_INFO and then promote it, there is a good chance that Aldon will delete the CUSTOMER_SHIPMENTS view and you will not get a single warning. It doesn't happen every time but when it does you are going to have a real mess on your hands.

Incentivized

• 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

• Allows flexibility for user groups
• Scripting for releasing of code
• Ease of comparing code versions within the tool

Incentivized

• 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

Incentivized

• SQL object promotions
• User interface
• Incomplete error checking
• Fragmented promotion logs

Incentivized

Based on current integration with our release process, we will need to keep this for the future.

Incentivized

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

Incentivized

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

Incentivized

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

Incentivized

Support is hit and miss. Sometimes they give some great assistance and sometimes they are no help at all. It always seems like they can't replicate the problem but then they never try to get on our system to do deeper research. It's kind of frustrating dealing with them. Also, the website isn't that helpful.

Incentivized

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.

Incentivized

Aldon provides needed functions for our current implementations and legacy systems. As we move toward modernization, we are going to look at alternatives from reviewing cost, integration capabilities and functionality

Incentivized

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.

Incentivized

• 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.

• Software promotion is much easier and doesn't require custom coding.
• Developers can work collaboratively with less overlap.
• Developers can find objects faster and research code more thoroughly.

Incentivized