Enrich your developer skills with Red Hat OpenShift on IBM Cloud
We use to deploy, manage, and scale containerized applications in a IBM cloud environment. Using Red Hat OpenShift on IBM Cloud leverages …
Overview
What is Red Hat OpenShift on IBM Cloud?
Red Hat OpenShift on IBM Cloud is a comprehensive service that offers fully managed OpenShift clusters, on IBM Cloud platform. It is directly integrated into the same Kubernetes service that maintains 25 billion on-demand forecasts daily at The Weather Company.
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What is Red Hat OpenShift on IBM Cloud?
Red Hat OpenShift on IBM Cloud is a comprehensive service that offers fully managed OpenShift clusters, on IBM Cloud platform. It is directly integrated into the same Kubernetes service that maintains 25 billion on-demand forecasts daily at The Weather Company.
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- No setup fee
For the latest information on pricing, visithttps://cloud.ibm.com/kubernetes/catalo…
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- Competitors
- Tech Details
- FAQs
What is Red Hat OpenShift on IBM Cloud?
Red
Hat OpenShift on IBM Cloud is a managed offering to create OpenShift clusters of compute hosts to deploy and manage containerized
apps on IBM Cloud. The managed OpenShift offering combines built-in OpenShift capabilities including RHEL-based
infrastructure, enterprise hardened Kubernetes, validated integrations,
integrated container registry, developer workflow tools, and access
to services through service brokers with operational cluster life-cycle support from IBM Cloud SRE based on managing 20k production
upstream Kubernetes clusters. As a managed offering, IBM will deploy
the compute, networks, and storage based on the customer’s requirements
through the UI, CLI, API, or automation through IBM Cloud Schematics.
Additionally, IBM provides the tooling for updates including OS patches,
vulnerability remediation, and updates to any component in the stack
with the customer determining when they should upgrade. Red Hat
OpenShift on IBM Cloud supports HA masters, multi-zone clusters, compute
isolation choices including bare metal worker nodes, customer managed
keys using IBM Key Protect or HyperProtect Crypto
Services using FIPS 140-2 Level 4 encryption, and secure access to IBM
Cloud services to enhance an application’s capabilities including
Watson, IoT, and Analytics.
Red Hat OpenShift on IBM Cloud Competitors
Red Hat OpenShift on IBM Cloud Technical Details
| Operating Systems | Unspecified |
|---|---|
| Mobile Application | No |
Frequently Asked Questions
Red Hat OpenShift on IBM Cloud is a comprehensive service that offers fully managed OpenShift clusters, on IBM Cloud platform. It is directly integrated into the same Kubernetes service that maintains 25 billion on-demand forecasts daily at The Weather Company.
Google Kubernetes Engine, Azure Red Hat OpenShift, and Amazon Elastic Kubernetes Service (EKS) are common alternatives for Red Hat OpenShift on IBM Cloud.
Reviewers rate Security and Isolation and Container Orchestration highest, with a score of 8.6.
The most common users of Red Hat OpenShift on IBM Cloud are from Enterprises (1,001+ employees).
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Reviews
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We created a POC last year using RedHat OpenShift in the IBM CLoud. IBM MQ, IBM App Connect Enterpriser and IBM WAS were all implemented in containers. This was to provide a uniform, consolidated, fully monitored, reliable platform for integrations, messaging and WAS applications. We demonstrated this POC in a company wide Hackathon for IT.
- Provides monitoring ACE, MQ, WAS
- Provides containerization to faciliate the maximum utilization of resources (cpu, memory, etc.), provides multiple versions of applications running in containers, isolates rogue applications
- eliminates many administrative tasks
- provides high availability
- utilizes storage efficiently
- easy to use, provides a well formatted interface, well documented, easy to install
- provides connectors to current database levels
- easy to configure security and keep track of certificates
- modernizes antiquated architecture
- AI for creating connectors "on-the-fly" instead of waiting for a new connector to become available
96.66666666666666%
9.7
- It was very positive that RedHat OpenShift could run on any cloud platform. Our business objective is to move to the cloud and this software fits every bullet point.
- With OpenShift we can keep our existing applications (over 250) and quickly move them into containers and into the cloud environment with little modifications at all.
I prefer RedHat OpenShift because with kubernetes there are tons more installations and work effort required to get applications ready to run in the containerized environment. RedHat OpenShift is faster and easier to get up and running.
- IBM API Connect
- IBM MQ on Cloud
Using IBM portfolio of products together we are able to create an ESB environment to process 1/2 billion transactions monthly. We other companies I have been up all night handling issues in Production. At CDW because of the reliability and stability of the IBM products we very rarely get calls in the middle of the night. The systems run smoothly and without issues.
November 28, 2021
Overall user satisfaction review for Red Hat OpenShift on IBM Cloud
OpenShift is being used in a particular project to run a web application. This solution makes it easy to quickly deploy and run our application on the cloud and also to implement continuous development and deployment. It significantly reduced the time to market new versions as well as [mproving] the scalability of the application.
- Scalability
- Integrations
- Fast time to value for solutions.
- There is no offering to install GraphQL database in Red Hat OpenShift on IBM Cloud.
- Wish they offered fully supported client libraries for the Openshift API rather than dumping it on a 3rd party[.]
- Wish it had better documentation[.]
- Possibility to quickly change the processing capacity.
- Lowers time to value.
- Migrating their mainframe application to IBM Z is a great way to start the journey to [the] cloud for clients, and the transition to cloud-native apps becomes smooth.
November 20, 2021
Worth the money... If you have the 💰
We were looking for a non-personnel intensive solution to run containers at scale. Being a fully managed offering red hat Openshift on IBM cloud for that bill! Plus, it provided a path for us to move to the cloud while still being compatible with our on-prem Openshift.
- Nice user interface
- Good monitoring control panel
- Keeps up to date with recent Kubernetes versions
- I wish it had better compatibility with docker file syntax. We had issues when it couldn't build standard docker files
- Wish it had better documentation
- Wish they offered fully supported client libraries for the Openshift API rather than dumping it on a 3rd party
- Helped us migrate on perm apps to cloud
- Provided easy to use dev experience for devs without kube experience
- Provided a secure rbac solution for many different teams running workloads on the same cluster
- Amazon Elastic Kubernetes Service (EKS) and Amazon Elastic Container Service (Amazon ECS)
Red hat Openshift had a better user interface by far. Amazon EKS's was so basic it was essentially useless. We had to use a separate tool called lens to get basic stuff done. Lens was buggy and didn't work as well though, even for basic functionality like updating a K8s secret.
- IBM MQ on Cloud
Not a big improvement because they are mostly separate products. But it doesn't hurt either. We are using it mostly due to vendor product limitations.
November 20, 2021
Infinite scale at finite cost
We started out as a corner use case for a specific development effort. A small application (net new) based on Microservices and container architecture and scale-out design. The application provides a self-service UI to actual paying external customers so the traffic can be in 100s of 1000s concurrent users checking their service status, accounts, and other data and metadata. The pilot went well and application and architecture based on Red Hat OpenShift on IBM Cloud with automation, orchestration, and almost infinite auto-scale serves as well.
- Provisioning, orchestration and resiliency
- Observability & monitoring
- Deep security, reduce mystery meat in container images
- Integration with existing CI/CD tools
- Central repository and versioning control
- Better API integration with a wider eco system
- CLI, UI and API could be better in terms of usability
- More security feature for east and west traffic, proxy and load balancing
- Our customer satisfaction and NPS score has had positive outcomes based on new architecture
- We are focused on business outcomes vs running the service and maintenance
- OpenShift on IBM Cloud has had a direct, positive impact on TCO, ROI, and payback period
- Our staff is more focused on higher-level business activities, i.e. acquiring & customer retention
- Azure Kubernetes Service (AKS), Amazon Elastic Container Service (Amazon ECS), Amazon Fargate, AWS Lambda, IBM Cloud Functions and Google Cloud Anthos Service Mesh
For our particular use case, Red Hat OpenShift on IBM Cloud was very cost-competitive. We already had RHEL, OpenShift, and Ansible skills that translated to the service. From a feature and function perspective, most solutions have a parity but being open source and less chance of vendor lock-in was a key factor as well.
- IBM Cloud Virtual Servers
- IBM Cloud Container Registry
- IBM Cloud Auto Scaling
- IBM Cloud Object Storage
- IBM Cloud Managed Istio
- IBM API Connect
Better integration, use of existing skill sets, open-source and central support. Having one support contract gives us leverage for better economic outcomes. Bottom line is that we have improved customer satisfaction with self-service by providing all the key data metrics that matter to the customer. So far, our business objectives and imperatives have been met.
January 15, 2020
Deploy Faster with Red Hat OpenShift on IBM Cloud
OpenShift is being used in a particular project to run a web application. This solution makes it easy to quickly deploy and run our application on the cloud and also to implement continuous development and deployment. It significantly reduced the time to market of new versions as well as improved the scalability of the application.
- Scalability
- Integrations
- Steep learning curve
- Lack of a trial version
- Improved the release of new versions of applications.
- Possibility to quickly change the processing capacity.