IBM Cloud Kubernetes Service vs. Mirantis Kubernetes Engine

IBM Cloud Kubernetes Service is ideal for deploying modern applications on a microservices architecture -- where easy scaling and ability to update are important. IBM Cloud Kubernetes Service also handles automated deployments and load balancing very well, particularly if you're already working in the IBM Cloud ecosystem. There are applications less suited to IBM Cloud Kubernetes Service -- such as very small applications, where managing an IBM Cloud Kubernetes Service cluster would be overkill. Also, users not familiar with container organization might find IBM Cloud Kubernetes Service to be a challenge to manage effectively.

Incentivized

Docker is great for when you would want to use a VM for any given application, but don't need the overhead of the whole OS. Docker containers use very little computing resources, boot up very quickly, and are very easy to set up. An instance where Docker may not be appropriate would be for an application that requires good security. If in this situation, a true VM would probably be your best bet.

Incentivized

• IBM has a strong focus on serverless and Kubernetes. This shows in the platform. Deploying containers to Kubernetes was very easy.
• Deploying a Kubernetes cluster through the GUI is very easy and quick. On top of that, IBM Cloud offers a single node cluster for Free.
• Container Registry is a very good product for managing container images. Integration with Kubernetes was seemless.
• Portability. To transition from Google Cloud Kubernetes to IBM Cloud Kubernetes took almost no effort. We mostly use the CLI and the standard tools such as kubectl were present.

Incentivized

• Containerization - allowing multiple micro-services to function together without in-depth orchestration at the VM level.
• Rapid deployment - a developer with appropriate access can simply push to the correct remote and the deploy happens automatically from there
• Decouples provisioning from VM administration - allows containers to be deployed (more) regardless of VM set up.

Incentivized

• I constantly get this error even when everything is well configured prefect.exceptions.AuthorizationError: [{'path': ['auth_info'], 'message': 'AuthenticationError: Forbidden', 'extensions': {'code': 'UNAUTHENTICATED'}}]
• Then sometimes the error disapear without changine anything, happened twice to me. Should there be an issue with the authentication service? Please let's improve or let users know why this may be happening.
• Improve the UX in the browse console when removing many images at once
• UX on the process of installing KeyCloack operator

Incentivized

• Docker has a bit of a learning curve, and it takes some time to become familiar with the tooling and syntax. Transitioning an existing architecture to docker can represent a significant investment.
• Docker attempts to provide some level of cross-host container orchestration via swarm, but it falls short of third-party solutions like kubernetes.
• We occasionally run into stability issues when the docker daemon is subjected to high load (many applications starting/stopping frequently). In these cases, docker hangs and we have to restart or replace the node.

Incentivized

We have our application running on a CentOS compartment on IBM Cloud Kubernetes Service. We have been utilizing the help since IBM Cloud initially dispatched. We liked the adaptability and versatility that IBM Cloud Kubernetes Service give us. Since we are tiny, the Kubernetes administration is just utilized at present inside my venture bunch.

Incentivized

We actually haven't had any real problems in our clusters recently and the results we have gotten from adopting IBM Cloud Kubernetes Service have been beyond even our greatest expectations. The community has helped optimize the use of the system and make it relatively simpler to use.

Incentivized

Docker's CLI has a lot of options, and they aren't all intuitive. And there are so many tools in the space (Docker Compose, Docker Swarm, etc) that have their own configuration as well. So while there is a lot to learn, most concepts transfer easily and can be learned once and applied across everything.

Incentivized

IBM's cloud is almost infallible.

Incentivized

IBM's cloud has a site in my conuntry (MEXICO) so the network latency was almost 0

Incentivized

The self-guided support was solid, and there are plenty of online videos to guide first time users, but I think one area of improvement is a faster way to transfer a large quantity of files from our local machine to the cloud for storage (Aspera)

Incentivized

The community support for Docker is fantastic. There is almost always an answer for any issue I might encounter day-to-day, either on Stack Overflow, a helpful blog post, or the community Slack workspace. I've never come across a problem that I was unable to solve via some searching around in the community.

Incentivized

Online training is really an important resource for using these tools. IBM's help center is rich in useful information and tips. Also, external guides and tutorials are available (e.g. on youtube), but I followed only IBM ones and I had no difficulties.

Incentivized

Ease of use. Very intuitive. We have been looking for a product that allows us to orchestrate our docker containers in a way where it allows us to effectively scale our applications to production. It also provides us a way of monitoring all our infrastructure in a very clear concise way.

Incentivized

I have earlier used various services, such as Kubernetes and Google Cloud Run. Still, IBM Cloud Kubernetes Service offers more convenience and a larger set of functions and features are available in Kubernetes. Google Cloud Run is much closer to a server less approach to deployment, although it gives slightly less flexibility in terms of configuration than IBM Cloud Kubernetes Service.

I have not used any other software as a container management solution. Its containerized apps allow the usage of less memory, thus
they start and shut down very fast. This tool is helping the enterprise
software to work quickly against the changing conditions thus offers great
scaling by simultaneously allowing me to meet the demands, which also leads to
easy implementation of the strategies.

Incentivized

IBM's CKS does not offers automatic autoscaling nor vertical scaling (automatic). Other services like Google Kubernetes Engine scales up and down very well

Incentivized

• IKS can provide around 30% savings when it comes to operational costs since Kubernetes is designed to run applications in most machines in the most efficient manner possible.
• Managed Kubernetes can save a company time by 45% since Managed Kubernetes usually is seamlessly updated, without any interruptions with the workload. IKS fall into this benefit.
• We heard people had saved in maintenance downtimes when it comes to Kubernetes by a factor of 10 so IKS can contribute to more flexible and distributed services with virtually no downtime.

Incentivized

• We are able to try things very quickly compared to before. If you need to debug it, changes on X/Y/Z will have an impact on the way your app works, and changing libraries or configurations of the environment easily can improve your development cycles.
• In case someone new arrives, the onboarding is pretty easy thanks to Docker. We have tried many configs and images until we reached a point were we have what we want. We don't have to painfully do that again for every new user. We just send him the image.

Incentivized