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.
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Ansible
Score9.2 out of 10
N/A
The Red Hat Ansible Automation Platform (acquired by Red Hat in 2015) is a foundation for building and operating automation across an organization. The platform includes tools needed to implement enterprise-wide automation, and can automate resource provisioning, and IT environments and configuration of systems and devices. It can be used in a CI/CD process to provision the target environment and to then deploy the application on it.
Sr Devops Engineer in Engineering at AppDynamics (Information Technology & Services, 201-500 employees)
Chose HashiCorp Packer
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.
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
Red Hat
Verified User
Chose Ansible
Red Hat Ansible Automation Platform is more platform agnostic which allows users in multi-OS environment to maintain configuration and manage drift.
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
Verified User
Chose Ansible
For the most part pretty well. Red Hat Ansible Automation Platform will always have room for improvement for a while since it really is a bit of a moving target and will always strive for new capabilities. RHEL of course has been around for some time and it does what it is …
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. TR verified that a representative sample of customers was invited. 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
For automating the configuration of a multi-node, multi-domain (Storage, VM, Container) cluster, Ansible is still the best choice; however, it is not an easy task to achieve. Creating the infrastructure layer, i.e., creating network nodes, VMs, and K8s clusters, still can't be achieved via Ansible. Additionally, error handling remains complex to resolve.
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. TR verified that a representative sample of customers was invited. 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
Debugging is easy, as it tells you exactly within your job where the job failed, even when jumping around several playbooks.
Ansible seems to integrate with everything, and the community is big enough that if you are unsure how to approach converting a process into a playbook, you can usually find something similar to what you are trying to do.
Security in AAP seems to be pretty straightforward. Easy to organize and identify who has what permissions or can only see the content based on the organization they belong to.
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. TR verified that a representative sample of customers was invited. 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 can't think of any right now because I've heard about the Lightspeed and I'm really excited about that. Ansible has been really solid for us. We haven't had any issues. Maybe the upgrade process, but other than that, as coming from a user, it's awesome.
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
Even is if it's a great tool, we are looking to renew our licence for our production servers only. The product is very expensive to use, so we might look for a cheaper solution for our non-production servers. One of the solution we are looking, is AWX, free, and similar to AAP. This is be perfect for our non-production servers.
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. TR verified that a representative sample of customers was invited. 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
It's overall pretty easy to use foe all the applications I've mentioned before: configuring hosts, installing packages through tools like apt, applying yaml, making changes across wide groups of hosts, etc. Its not a 10 because of the inconveinience of the yaml setup, and the time to write is not worth it for something applied one time to only a few hosts
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
Great in almost every way compared to any other configuration management software. The only thing I wish for is python3 support. Other than that, YAML is much improved compared to the Ruby of Chef. The agentless nature is incredibly convenient for managing systems quickly, and if a member of your term has no terminal experience whatsoever they can still use the UI.
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
There is a lot of good documentation that Ansible and Red Hat provide which should help get someone started with making Ansible useful. But once you get to more complicated scenarios, you will benefit from learning from others. I have not used Red Hat support for work with Ansible, but many of the online resources are helpful.
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
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
AAP compares favorably with Terraform and Power Automate. I don't have much experience with Terraform, but I find AAP and Ansible easier to use as well as having more capabilities. Power Platform is also an excellent automation tool that is user friendly but I feel that Ansible has more compatibility with a variety of technologies.
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
POSITIVE: currently used by the IT department and some others, but we want others to use it.
NEGATIVE: We need less technical output for the non-technical. It should be controllable or a setting within playbooks. We also need more graphical responses (non-technical).
POSITIVE: Always being updated and expanded (CaC, EDA, Policy as Code, execution environments, AI, etc..)
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. TR verified that a representative sample of customers was invited. More Info
