Red Hat OpenShift on IBM Cloud

Score8 out of 10

41 Reviews and Ratings

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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.

Categories & Use Cases

Security and Isolation
Product provides effective tools to isolate containers, nodes, and clusters and protect them from threats.
Category average: 8.5
Container Orchestration
The product’s ability to automate networking, deployment, scaling, and other container management functions.
Category average: 8.3
Self-Healing and Recovery
Product can be configured to automatically restart, replace, reschedule, kill, and validate jobs, containers, nodes, or clusters.
Category average: 7.8

Storage Management
Product’s ability to allocate storage resources and manage both temporary and persistent data.
Category average: 8.1
Analytics, Monitoring, and Logging
Product provides tools to manage performance, health, and other data related to containers or clusters. This could include analytics tools, logging tools, live dashboards, etc.
Category average: 7.9
Discovery Tools
Product provides methods (such as URIs or sortable lists) to easily find and access jobs, nodes, containers, or clusters.
Category average: 8.1

chetan kapoor View profile

Lead Engineer in Engineering at Broadcom (10,001+ employees employees)

Use Cases and Deployment Scope

We use Red Hat OpenShift on IBM Cloud for our product's day-to-day deployment. As we have to verify our product in the cloud, we have chosen IBM Cloud as one of our vendors. As we already use other cloud services from IBM, it makes sense to collaborate more efficiently for our deployment and testing.

Pros

Its easily scalable.
Deployment Configs are easy to operate on.
Execution of commands on pods is easier.

Cons

Debugging could be easier within console.
Private deployments.
Openshift virtualisation.

Return on Investment

150% increase in our productivity as we don't have to do the things manually any more.
It's more secure, so we need to spend less money fixing the vulnerabilities ourselves.
Deployments are much more easier so it has reduced our time of testing by 80%.

Alternatives Considered

Kubernetes, Azure Kubernetes Service (AKS) and Google Kubernetes Engine

Other Software Used

Azure Blob Storage, Amazon S3 (Simple Storage Service), AWS Glue

Stephen Rinaldi View profile

Creative Director in Information Technology at BBI (1-10 employees employees)

Use Cases and Deployment Scope

OpenShift is very handy for us. With just a code repository (e.g., imported from Git), OpenShift is able to build the code into a container image, push that image to a registry, create a deployment that references the image, and open the application to the internet. My experience with OpenShift includes deploying an application using s2i (‘Source-to-image’).

Pros

Elastic Scaling.
Self-service.
Built-in Security.
AI and ML Capabilities.

Cons

It has a steeper learning curve.
It's more resource hungry.
The user interface could be more user friendly.
Customization options could be more flexible.

Return on Investment

Faster time to market.
OpenShift Automation improves efficiency.
Resource Optimization saves costs (e.g., resources only used when needed).

Alternatives Considered

Docker

Other Software Used

GitHub, IBM Watson Natural Language Understanding, MongoDB

Carlos Fernando Soares Junior

SOFTWARE DEVELOPER in Marketing at IBM (5001-10,000 employees employees)

Use Cases and Deployment Scope

We use to deploy, manage, and scale containerized applications in a IBM cloud environment. Using Red Hat OpenShift on IBM Cloud leverages our ability to start very quickly any containerized application developed with diferente languages, as here we use python, node, javascript and NEXT. We can take advantage of Built-in continuous integration and continuous deployment (CI/CD) tools, as well, security features, such as network policies and secret management. And its possible to use various databases and data stores.

Pros

Support for multiple programming languages and frameworks
Automated deployment and scaling of applications
Security features
Support for various databases and data stores
Support for monitoring and logging

Cons

Could generate yaml files automatic
Plugin for VS
Improve UI

Return on Investment

It is not free
We need to associate to a paid Linux
After using, it becomes cheaper

Alternatives Considered

Kubernetes

Other Software Used

IBM Cloud Code Engine, IBM Cloud Continuous Delivery, Db2

Verified User

Consultant in Information Technology (201-500 employees employees)

Use Cases and Deployment Scope

We have used OpenShift cluster to install IBM Cloud Pak software. Cloud Pak was provisioned in the IBM Cloud. This was quick and painless.

Pros

Ease of provisioning
Time to market
Operated by IBM
IBM relationships with RedHat

Cons

Price could be lower
Ability to create OpenShift cluster for free (testing)

Return on Investment

Customer didn't have any outages running OpenShift cluster over a year
Could be more expensive than plain Kubernetes but value is more

Alternatives Considered

Amazon Elastic Kubernetes Service (EKS), Azure Kubernetes Service (AKS) and SUSE Rancher

Other Software Used

Amazon Web Services, Microsoft Azure

Dushyant Pathak

Software Engineer in Information Technology at Deutsche Bank (10,001+ employees employees)

Use Cases and Deployment Scope

We use Red Hat OpenShift as the primary platform for our applications. The platform hosts around 3000 applications for our company, spread across millions of pods. Given that it's the primary platform for hosting our applications for developers as well as actual business users, the revenue source is both, direct and otherwise

Pros

Multiclick provisioning of resources makes it super easy to manage pods and deployments. We don't have to maintain code for the same
In built security features and customizability ensures that organization wide standards are integrated well into the containers
Automated backups, scale ups and fail recovery makes sure of minimal down time

Cons

Multi cloud support and migration often requires support of cloud teams, and is not entirely automated
Often run into common issues like cache clearance of pods, which is an activity we have to do manually, often multiple times a day
The UI can be made more intuitive and user friendly

Return on Investment

OpenShift has handled around 3000 applications within our network, amounting to a revenue of more than $1T
The average uptime across applications is more than 99.8%, which has led to minimal disruption in business critical functioning
It has also led to minimal security concerns, which has further solidified trust of the organization

Alternatives Considered

Google Cloud Platform

Other Software Used

Atlassian Confluence

Google Kubernetes Engine

Amazon Elastic Kubernetes Service (EKS)

Azure Red Hat OpenShift

Red Hat OpenShift on IBM Cloud

What is Red Hat OpenShift on IBM Cloud?

Categories & Use Cases

Key Features

Top Performing Features

Security and Isolation

Container Orchestration

Self-Healing and Recovery

Areas for Improvement

Storage Management

Analytics, Monitoring, and Logging

Discovery Tools

Reviews

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