CircleCI is a software delivery engine from the company of the same name in San Francisco, that helps teams ship software faster, offering their platform for Continuous Integration and Continuous Delivery (CI/CD). Ultimately, the solution helps to map every source of change for software teams, so they can accelerate innovation and growth.
$0
for up to 6,000 build minutes and up to 5 active users per month
Rocket DevOps
Score 9.0 out of 10
N/A
Rocket DevOps (formerly Rocket Aldon) enables true end-to-end (CI/CD) for IBM i+ environments. Businesses can extend holistic DevSecOps best practices to the IBM i, pursue innovative experimentation, easily respond to compliance audits, and adapt to the ever-changing expectations of process, technology, or experience.
CircleCI is perfect for a CI/CD pipeline for an app using a standard build process. It'll take more work for a complex build process, but should still be up to the task unless you need a lot of integrations with other tools. If you have a big team and can spare someone to focus full time on just the CI/CD tools, maybe something like Jenkins is better, but if you're just looking to get your app built, tested, and delivered without a huge amount of effort, CircleCI is probably your preferred tool.
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.
The "phases" their config file uses to separate out options seem very arbitrary and are not very helpful for organizing your config file
No way that I know of to configure which version of MongoDB you use. You have to write your own shell script to download and start MongoDB if you want a specific version.
It's pretty snappy, even with using workflows with multiple steps and different docker images. I've seen builds take a long time if it's really involved, but from what I can tell, it's still at least on par if not faster than other build tools.
Unless you have a reasonably large account, you're going to be mainly stuck reading their documentation. Which has improved somewhat over the years but is still extremely limited compared to a platform like Digital Ocean who invested in the documentation and a community to ensure it's kept up to date. If you can't find your answer there, you can be stuck.
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.
Circle was the first CI with simple setup, great documentation, and tight integration with GitHub. Using Jenkins was too much maintenance and overhead, TeamCity was limited in how we could customize it and run concurrent builds, TravisCI was not available for private repos when we switched.
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
It has eased the burden of standardizing our testing and deployment, making onboarding new developers much faster, and having to fix deployment mistakes much less often.
It allows us to focus our process around the GitHub workflow, ignoring the details of whatever environment the thing we're working on is actually hosted in. This saves us time.