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IBM Cloud Kubernetes Service

IBM Cloud Kubernetes Service

Overview

What is IBM Cloud Kubernetes Service?

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…

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Recent Reviews

Excellent service

10 out of 10
January 15, 2023
Incentivized
In my organization, we use IBM Cloud Kubernetes Service to manage and deploy our microservices-based application. It allows us to easily …
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Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

Popular Features

View all 9 features
  • Container Orchestration (14)
    8.2
    82%
  • Cluster Management (14)
    7.7
    77%
  • Security and Isolation (14)
    7.5
    75%
  • Storage Management (14)
    7.5
    75%

Reviewer Pros & Cons

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Pricing

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What is IBM Cloud Kubernetes Service?

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…

Entry-level set up fee?

  • Setup fee optional
For the latest information on pricing, visithttps://cloud.ibm.com/kubernetes/catalo…

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

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Features

Container Management

Features commonly found in Container Management software.

7.5
Avg 7.9
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Product Details

What is IBM Cloud Kubernetes Service?

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 service also has advanced capabilities around simplified cluster management, container security and isolation policies, the ability for users to design their own cluster, and integrated operational tools for consistency in deployment.

IBM Cloud Kubernetes Service Technical Details

Deployment TypesSoftware as a Service (SaaS), Cloud, or Web-Based
Operating SystemsUnspecified
Mobile ApplicationNo
Supported Countrieshttps://console.bluemix.net/docs/containers/cs_regions.html#regions-and-zones
Supported LanguagesA managed Kubernetes offering to deliver powerful tools, an intuitive user experience and built-in security for rapid delivery of applications that you 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 service also has advanced capabilities around simplified cluster management, container security and isolation policies, the ability to design your own cluster, and integrated operational tools for consistency in deployment. Visit our Docs pages for pricing and support information.

Frequently Asked Questions

Google Kubernetes Engine, Azure Kubernetes Service (AKS), and Amazon Elastic Kubernetes Service (EKS) are common alternatives for IBM Cloud Kubernetes Service.

Reviewers rate Container Orchestration highest, with a score of 8.2.

The most common users of IBM Cloud Kubernetes Service are from Small Businesses (1-50 employees).

IBM Cloud Kubernetes Service Customer Size Distribution

Consumers0%
Small Businesses (1-50 employees)0%
Mid-Size Companies (51-500 employees)50%
Enterprises (more than 500 employees)50%
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Comparisons

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Reviews and Ratings

(317)

Attribute Ratings

Reviews

(1-8 of 8)
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Score 8 out of 10
Vetted Review
Verified User
Incentivized
I am currently using it for a project. It is meant to address the ease of orchestrating the deployment of containers.
  • Good documentation.
  • Ease of installation.
  • Good UI.
  • Having better instructional videos online would be nice.
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.
Henry Liu | TrustRadius Reviewer
Score 5 out of 10
Vetted Review
Verified User
Incentivized
A small portion of businesses uses K8s but only for microservices.
  • Always, the free tier is attractive.
  • The 30-day free tier expiration is pointless.
  • Not all options are available on the free tier.
  • Load-balancer type not available on the free tier.
  • Cluster deployment is slow.
Perhaps for those enterprises requiring classical infrastructure needs.
August 18, 2021

Kubernetes review

Score 7 out of 10
Vetted Review
Verified User
Incentivized
Migrating legacy apps to the native cloud. It provides a simple way to progressively remove code from monolithic ones while providing all cloud benefits like autoscaling or data integrity. IBM Cloud [Kubernetes Service] makes it very easy with great documentation and support.
  • Quick learning curve.
  • Fast deploypment.
  • Great documentation.
  • Excellent customer support.
  • Generation time.
  • Fixing issues.
Well suited if you need top-tier and responsive support. Not suited for low complexity apps where setting it can take a high percentage of the project.
April 09, 2020

IBM Kubernetes Review

Score 9 out of 10
Vetted Review
Verified User
Incentivized
We are using it for proof of concept for microservices using Kubernetes and Docker engine.
  • Simple.
  • Scalable.
  • Reliable.
  • Not available in all regions.
  • Setting up cluster takes time.
IBM Cloud Kubernetes is well suited for e-commerce fields where innovation takes place in rapid scale.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Our entire department is using it to create high-availability clusters, making mobile scalability truly user-friendly and easy to develop multilingual applications.
  • You can add features easily, growing as you need.
  • Options for dedicated servers or VMs gives us a lot of flexibility from a provisioning standpoint.
  • Quick deployment.
  • Powerful tool!
  • Old operation guide.
  • For beginner developers, it takes longer to learn costs.
  • Too expensive.
1. Deploy a simple Python application with Kubernetes.
2. Build a smart WeChat robot with IBM Watson Assistant with Cloud Function.
3. Deploy a simple React application with Kubernetes.
Score 7 out of 10
Vetted Review
Verified User
Incentivized
It is used for orchestration of business services. It is used by a department. It addresses automation of business processes.
  • Comprehensive orchestration product.
  • Good integration with public source code control system.
  • Support for low footprint infrastructure for development could be better.
Good framework for production workloads. Encourage greater adoption by providing economical access to new users.
John Hanley | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
We are an IT consulting company specializing in cloud architecture, security, hybrid and multi-cloud deployments. We recently starting working with IBM Cloud. We used IBM Cloud Kubernetes to train ourselves in preparation to advise our customers.

We deployed several test environments from our Google Cloud Kubernetes system to IBM Cloud Kubernetes for practice. This proceeded without incident or technical problems. I wrote an article on my personal website that detailed my experiences with IBM Cloud and IBM Cloud Kubernetes.
  • 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.
  • IBM Kubernetes worked as I expected it to. The area that I would like improvement is either the simplification of the Kubernetes commands or a better management layer built on top. It takes considerable effort to train administrators to manage Kubernetes. However, I feel that adding a management layer should be an option so that the core IBM Kubernetes offering stays industry compatible.
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.
June 26, 2017

Watson on Bluemix

Grant A. Gelven | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Our product development team uses Watson APIs through Bluemix. We build cognitive applications in a B2C market for identity protection services. IGWW integrates Watson APIs as components of a daily “threat” monitoring service for consumers. Our cognitive application is developed to monitor news events related to software vulnerabilities, data breaches, online scams, and malware campaigns that are directly relevant to the consumer. The data are then extracted from the web, filtered, processed, scored, and presented to the consumer as a “threat alert” related to some aspect of their personal information security. The alert is presented with advice for mitigating the threat in the form of an “action”. Upon completion of an action, the user will see this reflected in their individual risk management plan.

Additionally, as threat alerts are generated, they are personalized and targeted to specific consumers using information contained in their personal profile. Some of the data points in a profile are automatically captured using social media data and Natural Language Classifiers to select attributes.
  • Good documentation and examples for integrating APIs.
  • Wonderful technology from an infrastructure POV, nearly on par with AWS.
  • Watson APIs are some of the most robust turn-key ML packages out there. Furthermore, one can take these out of the box in minutes and have a working cognitive app very easily.
  • Great support when needed.
  • Pricing tiers for larger volumes should be included. Also, costs should be evaluated on a use-case basis, pricing these types of services by number of API calls can be prohibitive for some applications.
  • Lagging in dev speed to compared to AWS.
  • Need to support batch processing for Watson APIs (I'm told this is on the road map).
[It's] Great for building simple cloud based apps or prototyping. It's particularly well suited for applications using Watson APIs.
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