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.
N/A
RapidDeploy
Score 8.5 out of 10
N/A
RapidDeploy is a release management automation option for continuous delivery, from UK company MidVision.
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.
RapidDeploy is most powerful and reliable enterprise software solution for the effective and continuous workflow, you can trust this with your application deployment and maintenance for any complex environments, it's services and depth reporting is great which provide you the effective environment management and accelerate the operational efficiency, it's Reporting/Analytics features make sure your smooth workflow.
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
RapidDeploy is more reliable and trusted among the users, it's features and technical support team is more helpful for any problems and RapidDeploy is more reasonably priced for it's features and support then Bitbucket. My overall experience with RapidDeploy is more graceful and RapidDeploy support team help you in every step during the deployment