IBM Cloud Kubernetes Service Reviews

The tutorials, especially around blockchain, have been good quality. We found the certificate services vague and unclear, as well as a simple way to firewall or whitelist traffic (we seem to need to 'manually' build a node to be the firewall). When services are present and running's he feel perfect and stable, and the interface use them is not awful, like AWS.

The Microservice approach offered by IBM Cloud Kubernetes Service is well suited for applications that can be easily split into several parts that work independently one from each other. It is not easy to split correctly the software in multiple parts, but with Kubernetes, you can manage in real-time the deployment of your application, so some services can be deployed on the same physical machine.
It is not appropriate for really monolithic applications that require a lot of data in memory that is shared with multiple threads (e.g. AI applications).

The GUI and the CLI permit total control on your cluster. Moreover, IBM Cloud Kubernetes Service tries to overcome the lack of an ssh shell by providing a virtual ssh shell on every container.

Compared with other platforms, it takes too long to create a cluster. Even a free plan with only one node.

Kubernetes is absolutely fantastic. The Kubernetes API is a great tool when it comes to automating a deployment pipeline. Deployments are not only more reliable, but also much faster, because we’re no longer dealing with VMs. Our builds and deployments have become more reliable because it’s easier to test and ship containers.

IBM Cloud Kubernetes is well suited for e-commerce fields where innovation takes place in rapid scale.

quick and helpful

A well-suited case is when we want to evaluate a new potential cloud service. It is less appropriate for situations where businesses already have one.

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).

IBM Cloud Kubernetes Service is very easy to use, with a nice and smooth control panel, command-line interface, and several built-in features.

Well suited for apps that require a high distribution and the ability to scale, since it enables to scaling and variety of data center locations.

IBM Cloud Kubernetes Service is well suited for deploying online computing services. We are satisfied with the network and CPU performance. It greatly saves our time. We used to use GCP and AWS, which neither provided reliable service.

Well suited:

• DEV / QA / SIT deployments: You can use IBMCKS for DEV / QA or SIT environments. Since IBM CKS is a managed service, you can let the deveolping team to be in charge of the infraestructure.
• Multicloud deployments: Working with ISTIO mesh works perfect on IBM CKS.
• Network intensive deployments: IBM's network is quite powerfull.
• Docker containers

Less appropriate:

• Production Workloads: Is never a good idea to use K8s for production if you don't have a team that fully understands how to operate K8s. K8s is one of the hardest techonologies to use due it's complexity.
• Workloads that requieres KERNEL tunning: You can't modify Kernel parameters on Managed K8s like CKS. If you are running a workload like REDIS that needs certain KERNEL parameters to be set, I highly advice you to use K8s Open Source.
• High performance workloads (GPU): IBM CKS does not offers GPUs on their nodes.

The support is quite basic.

The GUI is very simple (in the good way) and easy to use.

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

IBM Cloud Kubernetes Service is well suited for Linux and open-source apps. It is less appropriate for Microsoft or Apple software, for example.

IBM Cloud Kubernetes is well suited to anything serverless to start. As more companies integrate the cloud into their core datacenter services, IBM Cloud Kubernetes makes for a wonderful deployment platform. As monolith applications are broken into individual services, containerization offers great appeal. The ability to deploy, update and scale thru automation has enormous potential.

Its of great value when you are implementing your corporate or private block chain use cases. Its quite simple to setup, deploy and run fabric using IBM Blockchain platform.

It is perfectly suited for a blockchain platform which is built locally as there are not many good choices available in the market.

I only checked on this within my department, but IBM Cloud Kubernetes Service works well with the IBM Blockchain Platform, seems to be up all the time, and the multizone works very well, without latency (at least on Frankfurt).

Pretty good and simple to setup/use for users who are just getting started and are evaluating K8s.

Good framework for production workloads. Encourage greater adoption by providing economical access to new users.

Perhaps for those enterprises requiring classical infrastructure needs.

Resilient, secure and effective API gateway.

It's very fit into Nodejs related apps.

IBM Cloud Kubernetes Service is great if you want to control microservice architecture in production environments because IBM Cloud, brings us high availability, and strong support. [It is a] resilient and secure platform. You will have an interface for checking node status and logs for control issues in your systems. You can integrate easily with other IBM services.

This is more suited to well-established organizations where they want to go cloud-native. With the advent of the importance of cloud, IKS has a place where existing customers would like to move to a more modernized, distributed platform with the trust and security of IBM along with the option to be deployed to a bare metal instance—currently some vendors lack.

Among the most important companies we work with, they use Kubernetes, they have large IT departments and choose this tool, so it is reliable with great performance. In scalable projects, it is a great platform. It removes OS dependencies.

It could be an amazing place to train users how to use Kubernetes. I think it does a fairly good job at extracting away some of the more esoteric aspects of configuring a Kubernetes cluster and some of the other things that can inhibit new users. I have not worked with the product enough to be able to see if it has efficacy for production level deployments, but the UI integration seems rather intuitive and might be a real asset for a team supporting production deployments.

IBM Cloud Kubernetes Service is worthwhile if you want to run containers in the cloud. It's especially useful if you'd like to use IBM's Watson service alongside your Kubernetes services.