Likelihood to Recommend Google Compute Engine is so easy to implement and run. It doesn't require much knowledge to build an app since they provide multiple options to choose from with their prebuilt sample list. We can easily make customization on any website app we built for our client according to their needs and make changes if required.
Read full review I've seen multiple universities that have quite investments in Red Hat enterprise virtualization. They don't want to go with the VMware route due to the expense. So Red Hat OpenShift virtualization is a natural fit for them in that environment. I've also seen a lot of VMware customers that are not able financially to sustain the cost increases with the product. So they're looking for an alternative. And Red Hat OpenShift virtualization fills that need.
Read full review Pros Scaling - whether it's traffic spikes or just steady growth, Google Compute Engine's auto-scaling makes sure we've got the compute power we need without any manual juggling acts Load balancing - Keeping things smooth with that load balancing across multiple VMs, so our users don't have to deal with slow load times or downtime even when things get crazy busy Customizability - Mix and match configs for CPU, RAM, storage and whatnot to suit our specific app needs Read full review 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. Read full review Cons Built-in monitoring via Stackdriver is quite expensive for what it provides. Initially provided quotas (ie. max compute units one can use) are very low and it took several requests to get an appropriate amount. Support on GCE is limited to their knowledge base and forums. For more hands-on support provided by Google, you must pay for their Premium services. Read full review 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." Read full review Likelihood to Renew Overall services are good to go. Received good feedback from users. Have regional server locations. It has free extra service included.
Read full review OpenShift is really easy of use through its management console. OpenShift gives a very large flexibility through many inbuilt functionalities, all gathered in the same place (it's a very convenient tool to learn DevOps technics hands on) OpenShift is an ideal integrated development / deployment platform for containers
Read full review Usability Having interacted with several cloud services, GCE stands out to me as more usable than most. The naming and locating of features is a little more intuitive than most I've interacted with, and hinting is also quite helpful. Getting staff up to speed has proven to be overall less painful than others.
Brendon Brown Business IT, Web Development, eCommerce and Digital Marketing
Read full review 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
Read full review Reliability and Availability The Google Compute Engine is constantly up, healthy, and available. I have never experienced any issues with it loading or functioning.Since it is accessible everywhere in the world, it is always available with low latency for all regions.However, I have occasionally seen problems with various NoSQL databases' availability, such as MongoDB, in terms of speed.Overall though, it's always accessible.
Read full review 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.
Read full review Performance Google Compute Engine's performance is up to the standard and I don't really have any complain about that. But website itself does not load quickly and there is a very noticeable delay when the website loads. And no, our system did not our slow down when we integrated Google Compute Engine in our system.
Read full review Openshift performance is based on the underlying infrastructure, the K8s design, and the applications' design. Cloud-native applications should have resilience baked in and should not depend on infrastructure resilience. Standard stateful apps may still depend on the underlying infrastructure. It depends on the approach.
Read full review Support Rating The documentation needs to be better for intermediate users - There are first steps that one can easily follow, but after that, the documentation is often spotty or not in a form where one can follow the steps and accomplish the task. Also, the documentation and the product often go out of sync, where the commands from the documentation do not work with the current version of the product. Google support was great and their presence on site was very helpful in dealing with various issues. Read full review 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
Read full review In-Person Training 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.
Read full review Online Training 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.
Read full review Alternatives Considered Google Compute Engine provides a one stop solution for all the complex features and the UI is better than Amazon's EC2 and
Azure Machine Learning for ease of usability. It's always good to have an eco-system of products from Google as it's one of the most used search engine and IoT services provider, which helps with ease of integration and updates in the future.
Read full review Our developer community is using Red Hat OpenShift for years and they are familiar and comfortable with the product. Red Hat OpenShift UI makes it easier for new developers to adopt without knowing much of
Kubernetes . Our platform team feels it’s easy to mange the cluster and upgrades. Other options has more operation overhead and less friendly to developers not have in-depth knowledge of
Kubernetes .
Read full review Contract Terms and Pricing Model It's easy to understand what are being billed and what's included in each type of subscription. Same with the support (Std or Premium) you know exactly what to expect when you need to use it. The "core" unit approach on the subscription made really simple to scale and carry the workloads from one site to another.
Read full review Scalability 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
Read full review Return on Investment With Google Compute we don't have the overhead of managing our own data centers reducing costs and reducing the staff needed to manage systems. As I said earlier, Google's costs are ~1/2 of AWS, so we are able to see a ROI much faster. Read full review Positive: Reduction in physical and virtual machine footprint Negative: Lack of native end to end o11y has caused a great deal of focus from our enterprise monitoring folks Positive: OCP has allowed developers to have a quick and easy space to experiment Read full review ScreenShots Google Compute Engine Screenshots