I cannot definitively say what the main use cases for Kubernetes Everywhere are since it can be utilized with multiple different projects. It can be used effectively for CI/CD integration with no complexity and is easy to use, providing many benefits.

Kubernetes Everywhere is most beneficial when you have machine learning workloads or AI workloads, as it is particularly useful for those scenarios.

I have very limited use cases with Kubernetes Everywhere and do not have a full scale deployment.

Kubernetes has its own fault tolerance and can automatically bring up a pod whenever there are any interruptions. Kubernetes default functions such as DaemonSets and other features services provide a rich fault tolerance.

We use Ingress in Kubernetes Everywhere to load balance multiple workloads.

The initial setup of Kubernetes Everywhere is good, and the documentation provides clear instructions.

Kubernetes Everywhere is easy to operate when you have a settled environment and easy to manage. It offers high availability and fault tolerance with all high availability features, a rich support of latest technologies, vulnerability management, and easy management.

I have not been using Kubernetes Everywhere for a long time, but I recently came across it. I have good hands-on experience with Kubernetes from the past three to four years, but with Kubernetes Everywhere for only the past six months.

Due to poor planning of the application developers and resource management, I have seen crashes, downtimes, and performance issues. Different scenarios have occurred where applications went offline, some applications ran into performance-related issues, and some had connectivity issues. I have to go through these situations and identify the specific case in each instance.

I have tried to scale it up and scale it out for Kubernetes Everywhere. Unfortunately, Kubernetes Everywhere does not have an automatic scale-up tool, but I have done scaling and scaling down manually.

It would be a great feature if Kubernetes Everywhere could provide default monitoring and alerting instead of depending on Prometheus and Grafana.

Past one year.

Due to poor planning of the application developers and resource management, I have seen crashes, downtimes, and performance issues. Different scenarios have occurred where applications went offline, some applications ran into performance-related issues, and some had connectivity issues. I have had to identify and fix these issues in specific cases.

I had issues with our private cloud, and we have a private cloud vendor, which is Mirantis Kubernetes. Multiple cases were raised with them, and unfortunately, they did not have any fixes initially. They eventually came to us with some fixes to address the issues that we encountered.

For tech support with Kubernetes Everywhere, I would rate it between eight to nine out of ten.

The initial setup of Kubernetes Everywhere is good, and the documentation provides clear instructions.

I do not have hands-on experience with hybrid cloud for Kubernetes Everywhere. I have done some work on-premise, but I am moving toward a hybrid model that is currently in the test phase. As of now, I could not describe any benefits regarding hybrid cloud.

Managed file transfer and Kubernetes Everywhere are two different use cases, and I do not see major differences between them. I cannot compare both products.

My overall review rating for Kubernetes Everywhere is eight out of ten.

My main use case for Kubernetes Everywhere is for mobile integrations.

I do not use Kubernetes Everywhere for patients; this is for mobile channel integrations where we serve our participants financial information about their retirement.

Kubernetes Everywhere helps with these integrations primarily regarding reliability.

What makes Kubernetes Everywhere reliable for my team is that, since I mentioned, it's financial information, we have to provide accurate information to our participants, and it's specifically retirement; we do not want to give incorrect data. So, we rely on Kubernetes Everywhere to provide that information accurately so that our participants are not given incorrect information, and it also saves our brand reliability with our participants.

The best feature Kubernetes Everywhere offers is the reliability feature, which mostly impresses me.

What makes the reliability stand out for me is uptime and error handling; also, as I mentioned previously, it's providing reliable data, which is very important for us in TIAA because it is the retirement data that we serve, and we do not want to provide anything incorrect to our participants. As this is a 100-year-old company, we want to make sure our participants are given the accurate information, reliable information that they deserve.

Kubernetes Everywhere has impacted my organization positively by being reliable as well as providing accurate data, maintaining the uptime, which is very important, and making sure we deliver the accurate data that is required by our participants.

I have seen specific outcomes, with incidents having definitely reduced drastically from what it was a few years back; so certainly, I can see there is more than 25 to 50% reduction in the incidents since adopting Kubernetes Everywhere.

At this time, I may not have any improvement suggestions; I want to explore more, so the features currently provided satisfy me, but if there is anything Kubernetes Everywhere can share with modernization, that would be great.

Keeping up with new technologies was exactly on my mind; if we can be provided information about those new technologies that can modernize would be helpful.

I have been using Kubernetes Everywhere for a couple of years.

Kubernetes Everywhere is stable.

I may not have much more insight into its scalability at this time because, as I have been mentioning in the previous inputs, I'm focused on reliability; hence, at this time, I may have to dig deeper into the scalability aspect of it.

The customer support for Kubernetes Everywhere is great.

I would rate the customer support on a scale of one to ten as an eight.

I may have to check on what solution we previously used before Kubernetes Everywhere, but from the time we switched to Kubernetes Everywhere, it has been reliable and helped with incident reductions.

I did purchase Kubernetes Everywhere through the AWS Marketplace.

The experience with pricing, setup cost, and licensing is handled by our enterprise pricing team, but what I feel is for the reliability that it provides; I'm sure the pricing would have been according to discussions with the enterprise team.

I have seen a return on investment; fewer incidents are my main return on investment.

Before choosing Kubernetes Everywhere, I think we were pretty much interested in it; we went with that option, and in our organization, it's done at the enterprise level, so we were provided Kubernetes Everywhere, which was really great for us to use.

My advice for others looking into using Kubernetes Everywhere is to look at its reliability options and how it can help reduce incidents and keep the environment stable. I would rate this review an eight out of ten.