IBM Cloud Kubernetes Service is a
managed Kubernetes offering, delivering user tools and built-in security for rapid delivery of applications
that users can bind to cloud services related to IBM Watson®, IoT, DevOps
and data analytics. As a certified K8s provider, IBM Cloud Kubernetes
Service provides intelligent scheduling, self-healing, horizontal
scaling, service discovery and load balancing, automated rollouts and
rollbacks, and secret and configuration management. The Kubernetes…
N/A
Vultr
Score 6.2 out of 10
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Vultr is an independent cloud computing platform on a mission to provide businesses and developers around the world with unrivaled ease of use, price-to-performance, and global reach.
$2.50
per month
Pricing
IBM Cloud Kubernetes Service
Vultr
Editions & Modules
No answers on this topic
Block Storage
$1
per month
Cloud Compute
$2.50
per month
Object Storage
$5
per month
Kubernetes Engine
$10
per month
Load Balancers
$10
per month
Managed Databases
$15
per month
Optimized Cloud Compute
$28
per month
Cloud GPU
$90
per month
Bare Metal
$120
per month
Offerings
Pricing Offerings
IBM Cloud Kubernetes Service
Vultr
Free Trial
No
No
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
Yes
No
Entry-level Setup Fee
Optional
No setup fee
Additional Details
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Pricing is based on specifications chosen in each product category. Bandwidth is also included up to a certain amount each month.
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.
Vultr is best suited to deploy classic web applications, web services, and websites. It's well suited for mid-level traffic but has a wonderful option of expanding the disk storage, making it very well suited to run applications and services that need to consume a lot of data but don't need a lot of computing power. It may not be well suited to run applications that rely on a vast number of web services and require a vast number of data centers.
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.
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
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.
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.
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)
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.
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.
The IBM Cloud Kubernetes Service is quite flexible platform with profitable Cloud functions performance and the data security through IBM Cloud Kubernetes Service is nice. To manage container easily and process huge amount of data at the same time, the IBM Cloud Kubernetes Service is amazing ad the platform deployment is very easy after training.
Vultr started out primarily as a VM-only provider, but has since expanded offerings and locations to be a serious alternative for a lot of businesses currently using a large, expensive cloud provider. Vultr may not be for everyone or every workload, but there are many businesses and individuals that are adding way too much complexity and cost to their projects by using large cloud platforms they do not really need. Update to review: Vultr's new Optimized Compute offerings are a game changer. They are designed to accommodate a more diverse or resource-intensive workload
IBM's CKS does not offers automatic autoscaling nor vertical scaling (automatic). Other services like Google Kubernetes Engine scales up and down very well
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.
