Australian company Atlassian offers Bamboo, a continuous integration server.
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HashiCorp Packer
Score 9.7 out of 10
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HashiCorp Packer automates the creation of machine images, coming out of the box with support to build images for Amazon EC2, CloudStack, DigitalOcean, Docker, Google Compute Engine, Microsoft Azure, QEMU, VirtualBox, and VMware.
If you value integration over cost, Bamboo is clearly the way to go. It offers tight integration to the rest of the Atlassian suite, and when you need traceability from issue to build, Atlassian is the right way to go. However, if you find yourself needing to save on costs, you may consider taking an approach of rolling your own build system with open source alternatives, such as Jenkins, if you don't [mind] putting in a little extra elbow grease.
We use packer to generate new machine images for multiple platforms on every change to our Configuration Management tools like Chef/Puppet/Ansible It's act single tool for Image building for Multi-provider like AWS/Azure/GCP Helps to achieve Dev/Prod Parity Packer itself doesn't have a state like Terraform. You can't do packer output AMI ID. If you have a scenario where you want to maintain the state for images it would be tough to manage via Packer.
Levels of granularity. Organization has many projects that have many build plans that have many jobs that have many tasks, etc. And branch builds allow source control branches to be built separately.
Versatility. I can use bamboo to manage my Java, node, or .NET build plans. I can use it to spin up Windows or Linux build agents, or install it on a Mac to build there as well.
Bamboo integrates with other Atlassian products like Bitbucket, Stash, JIRA, etc. If a company commits to the entire Atlassian stack then work can be tracked through the whole development lifecycle which is really useful.
Bamboo was fairly easy to navigate but in the end it always felt as if it was developed as a bolt-on and not a true group up user interface. There were multiple ways to get to everything and the path was never the same. So it was difficult for users to really get a feel of how to use the application.
Support for Bamboo has started lack a little over the years. Atlassian has been moving more towards Bitbucket Pipelines and away from the on-premise install of Bamboo. While the tool is still great, it may take a little bit of time to get a question answered by official support.
We selected Bamboo because its capabilities to integrate with other Atlassian products specially Jira Software, Bitbucket and in some useful scenarios with Confluence. Also, we found these pros important for us: great user interface, easily agent deployment, Docker compability, simply to maintain / manage, and straightforwardly integration with different notification platforms
There are lot of tools in market which does the job for Image creation but all of them are not complete Machine/Image as a code. All other alternatives can create Image partially. Main reason for selecting Packer are Packer is lightweight, portable, and command-line driven Packer helps keep development, staging, and production as similar as possible. Packer automates the creation of any type of machine image Multi-provider portability is the feature to die for
It helped us achieve the Continuous Deployment and Continuous Integration goals for our applications, a huge milestone that saved a lot of time for developers in making the builds and deployments and saved time for QA in running the automated tests.
Helped with DevOps: we moved the formal approval from the email to the system and allowed the approver to actually push the button for the production deployments.
Biggest positive impact of using Bamboo is that it improved our response time to customers and increased the frequency of our deliveries to them.
