Vagrant is a tool designed to create and configure lightweight, reproducible, and portable development environments. It leverages a declarative configuration file which describes all software requirements, packages, operating system configuration, and users.
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Red Hat OpenShift
Score 9.3 out of 10
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OpenShift is Red Hat's Cloud Computing Platform as a Service (PaaS) offering. OpenShift is an application platform in the cloud where application developers and teams can build, test, deploy, and run their applications.
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Pricing
HashiCorp Vagrant
Red Hat OpenShift
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
HashiCorp Vagrant
Red Hat OpenShift
Free Trial
No
Yes
Free/Freemium Version
Yes
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
HashiCorp Vagrant
Red Hat OpenShift
Features
HashiCorp Vagrant
Red Hat OpenShift
Platform-as-a-Service
Comparison of Platform-as-a-Service features of Product A and Product B
If you're writing software, particularly software that depends on other services (web servers or databases for example) then Vagrant is great. I know some people skip Vagrant and just set up virtual machines on their own, but I've found that Vagrant streamlines the process nicely and makes it easy to update or swap out versions. If you're a web developer (which I am) it's amazing. I can have several boxes configured for my different projects and I just spin them up or down based on what I'm working on. One scenario where this might not be ideal is if you're running Vagrant on a computer that has limited resources. Since you're running a virtual machine with its own operating system and such you'll want a host computer with enough RAM, hard drive space and CPU to run the virtual machine properly without killing the performance of the host. The virtual disks can also take up a lot of space if you're not careful so if you have many virtual machines provisioned and don't clean up the old ones that you're not using, you may find that your hard drive is full. Each of my Linux servers take up about 10GB of disk space.
Red Hat OpenShift, despite its complexity and overhead, remains the most complete and enterprise-ready Kubernetes platform available. It excels in research projects like ours, where we need robust CI/CD, GPU scheduling, and tight integration with tools like Jupyter, OpenDataHub, and Quiskit. Its security, scalability, and operator ecosystem make it ideal for experimental and production-grade AI workloads. However, for simpler general hosting tasks—such as serving static websites or lightweight backend services—we find traditional VMs, Docker, or LXD more practical and resource-efficient. Red Hat OpenShift shines in complex, container-native workflows, but can be overkill for basic infrastructure needs.
Easy to create machines with different OS's, list of them can be found from Vagrant's website with configuration details.
Flexible configuration, user can determine what software will be pre-installed to machine. Saves time because it doesn't need to be done manually every time.
Easily manage full environments, not just single machines, with single command.
One thing is the way how it works with the GitHubs model on an enterprise business, how the hub and spoke topology works. Hub cluster topology works the way how there is a governance model to enforce policies. The R back models, the Red Hat OpenShift virtualization that supports the cube board and developer workspace is one big feature within. So yes, these are all some features I would call out.
Learning curve is steep - It can be challenging for someone to set up initially. After some coaching, the basics come pretty quickly though.
Relies on external Virtual Machine applications - It would be great if Vagrant itself could run the virtual machine instead of leaning on other virtualization software. This is a small detail, but would make setup simple.
So I don't know that this is a specific disadvantage for Red Hat OpenShift. It's a challenge for anything that Kubernetes face is. There's an extremely large learning curve associated with it and once you get to the point where you're comfortable with it, it's really not bad. But beating that learning curve is a challenge. I've done a couple presentations on our implementation of Red Hat OpenShift at various conferences and one of the slides I always have in there is a tweet from years ago that said, "I tried to teach somebody Kubernetes once. Now neither of us knows what it is."
This is the current strategy for the company, most of the products in the organisation are aligning to Openshift and various use cases it support. Also lot of applications are being developed for AI use case, openshift.AI provides opportunity to host and leverage the AI capabilities for these applications
The virtualization part takes some getting used to it you are coming from a more traditional hypervisor. Customization options are not intuitive to these users. The process should be more clear. Perhaps a guide to Openshift Virtualization for users of RHV, VMware, etc. would ease this transition into the new platform
Redhat openshift is generally reliable and available platform, it ensures high availability for most the situations. in fact the product where we put openshift in a box, we ensure that the availability is also happening at node and network level and also at storage level, so some of the factors that are outside of Openshift realm are also working in HA manner.
Overall, this platform is beneficial. The only downsides we have encountered have been with pods that occasionally hang. This results in resources being dedicated to dead or zombie pods. Over time, these wasted resources occasionally cause us issues, and we have had difficulty monitoring these pods. However, this issue does not overshadow the benefits we get from Openshift.
Every time we need to get support all the Red Hat team move forward looking to solve the problem. Sometimes this was not easy and requires the scalation to product team, and we always get a response. Most of the minor issues were solved with the information from access.redhat.com
I was not involved in the in person training, so i can not answer this question, but the team in my org worked directly with Openshift and able to get the in person training done easily, i did not hear problem or complain in this space, so i hope things happen seamlessly without any issue.
We went thru the training material on RH webesite, i think its very descriptive and the handson lab sesssions are very useful. It would be good to create more short duration videos covering one single aspect of openshift, this wll keep the interest and also it breaks down the complexity to reasonable chunks.
Docker has a few advantages, especially with the disk size bloat brought on by Vagrant's hosting an entire OS and project in a VM. It relies on native tools, however, and may not support every software. Vagrant provides uniformity, efficiency and repeatability within team work and for deployment and testing.
We utilized the Thycotic Secret Service to manage all our application secrets, resulting in seamless integration with our applications. We developed all the applications using Red Hat Fuse (currently migrated to Quarkus). We used the built-in Kali Linux support of OpenShift to manage and configure the services and API. Additionally, the Red Hat Developer Studio facilitates faster development.
This is a great platform to deployment container applications designed for multiple use cases. Its reasonably scalable platform, that can host multiple instances of applications, which can seamlessly handle the node and pod failure, if they are configured properly. There should be some scalability best practices guide would be very useful
It has allowed us to see where we need to be in the container world. I'm going to call it a net neutral impact, not negative or positive. It has given us a sense of what we are ready for and what we're not ready for. You know where you stand.
You don't know what you don't know, so it helps us know what we want to know.