Codeship from CloudBees is a build automation platform from the Austrian company of the same name.
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HashiCorp Packer
Score8.7 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.
Codeship is extremely well suited for projects that are version controlled on public hosting such as Github or Bitbucket, and for situations where you need to pick up code from these systems and deploy it to different cloud environments. For example, we had two projects for the same client that were hosted on Github and needed to be deployed to AWS and Heroku. The native CI/CD tools of these cloud environments could not provide a holistic solution to deploy to both environments the way Codeship did.
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
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.
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
Codeship provides a set of tools for quickly creating and building our deployment artifacts and push them to the designated servers.
Codeship's hooks allows our developers to simply push tags from our git repositories to initiate a deployment of code to a server. No one outside of the devops team needs any expertise to get our code packages delivered.
Codeship allows us to tie in behat and unit tests easily to prevent delivery of buggy code.
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
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
I would like to see a little bit more than the green/red status. If there are tests, it would be good to see how many have failed on a red build.
To improve build times (and reduce feedback times), it would be good to see how long build, tests, and deployment take over time. An overview like that could very easily point to potential areas of improvement. I think Codeship users do not want to bother with the build process, but, if there is anything to improve and increase productivity it's very unlikely that users wouldn't want to do this.
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
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
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
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
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
Our company uses Jenkins for all internal deployment processes for one very important reason - it's hosted internally. But Codeship is great for personal use - it has intuitive UI, easy setup and tons of integrations.
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
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
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
Having the code tested thoroughly. While it's obviously a part of the job that still requires the developer to sit down and to actually have some decent and thorough tests implemented, by using codeship we were able to guarantee 100% that our code was being tested each and every time it got commited and pushed onto our repositories. Leading to a faster, shorter and sure implementation iterative cycle.
Fewer 'man in the middle' processes which required more steps and people involved just to get the code shipped onto our deployment servers.
Almost inexistent learning curve. Codeship is simple to use and very intuitive. Nobody in our development department had a hard time figuring out how to have it properly configured for each new project created there.
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
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
