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.
$5,000
per year
VMware Cloud Foundation
Score 5.4 out of 10
N/A
VMware Cloud Foundation is a hybrid cloud platform for managing VMs and orchestrating containers, built on full-stack hyperconverged infrastructure (HCI) technology. With a single architecture that is desribed by the vendor as easy to deploy, VMware Cloud Foundation aims to enable consistent, secure infrastructure and operations across private and public cloud.
Puppet has Red Hat Ansible Automation Platform beat on metrics. This isn't a fair comparison due to the agent oriented nature of puppet. Ansible is much smoother to start using and appreciably faster to install, configure and role into small groups of systems. I no longer use …
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 is agentless and using SSH so sometimes when the SSH is down we are using since Tanium it is agent base app we using Tanium l to get to the serverand before we were using SALT
I think terraform has some overlap with Red Hat Ansible Automation Platform and what determines which tool would be best will depend on how much can be pushed to the far left vs needing to be flexible or dynamic post deployment
Although the public Cloud Model follows Opex Costing Model, it actually leads to very high costs also, the infra model in my organization is not suited for a Public Cloud Model. Hence We decided on an On-Premise Model, and the best suited was VMware Cloud Foundation, which is a …
I'm going to say it is best suited for configuration management. Like I said, patching even with security, things of that nature. Probably less suited is hardware management, but Red Hat IBM/IBM has Terraform for that. So it's a trade off.
It is best suited for an on-premise cloud solution where customer can shift their entire production environment. Also, the customer has a preference for a Homogenous Infrastructure Environment where budget is not a challenge. It is not at all suited for a Heterogenous Environment, e.g., a Public cloud where integration becomes a huge issue, also in SMB sections where budget is challenging.
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.
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.
Overall it's good but the new architecture can be complex. Improvements can be made in the Config as Code capabilities for managing Red Hat Ansible Automation Platform. Sometimes it can be difficult for those unfamiliar to understand the relationship between Projects/Credentials/Job Templates, etc.
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.
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.
As I said earlier, Red Hat Ansible remains a top choice because it is a perfect combination of multiple capabilities. Terraform is good in IAC but not in config automation. Puppet is well-suited for developers, but not for system administrators and infrastructure integrators. OpenShift and Kubernetes are generic automators only.
Although the public Cloud Model follows Opex Costing Model, it actually leads to very high costs also, the infra model in my organization is not suited for a Public Cloud Model. Hence We decided on an On-Premise Model, and the best suited was VMware Cloud Foundation, which is a complete Software-Defined Scale-Out Architecture. I also prefer a Homogenous environment; i.e, support and services from a Single OEM, so that I Can get faster resolutions to my tickets raised.
We are still early in our implementation and don't have much yet - but I can say that it has already improved the time it takes to deploy a new virtual server for us, as well as making them more consistent.
In working through what jobs are required, it has really improved the communication between our different teams
My organization has a size of 1300+ employees, using multiple applications and an exchange mail server that is hosted on On-Premise Cloud, hence scalability has not been a challenge.
Having hosted my Production environment and Mail exchange Server on VCF, there has been optimum resource utilization with very little scope downtime. Hence have been able to save a lot of funds on Hardware resources.
Due to the size of my organization and due the data load, I have been able to save on Resource Utilization and Organization Funds