Overview
What is Red Hat OpenShift?
OpenShift is Red Hat's Cloud Computing Platform as a Service (PaaS) offering. OpenShift is an application platform in the cloud where application developers and teams can build, test, deploy, and run their applications.
Transforming infrastructure services
Red Hat OpenShift with the breeze
Red Hat OpenShift FTW
Best side of Red Hat OpenShift
Red Hat OpenShift Rocks!
Red Hat OpenShift Review
Red Hat OpenShift is for Engineers
Red Hat OpenShift - Streamlined platform containerization
Red Hat OpenShift in the enterprise
Red Hat OpenShift in the insurance industry
Red Hat OpenShift
Good Solution
Red Hat OpenShift: One of the Best Cloud Platforms!
Big banking OCP installation.
How Red Hat OpenShift Differs From Its Competitors
Application Development and Delivery
Application Development and Delivery
Application Development and Delivery
Application Development and Delivery
Application Development and Delivery
Application Development and Delivery
Application Development and Delivery
Application Development and Delivery
Application Development and Delivery
Application Development and Delivery
Application Development and Delivery
Application Development and Delivery
Application Development and Delivery
Application Development and Delivery
Developer productivity increases as he doesn't need infrastucture skills to build/deploy his application.
Application Development and Delivery
Application Development and Delivery
Application Development and Delivery
Application Development and Delivery
Application Development and Delivery
Awards
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Popular Features
- Scalability (102)8.787%
- Platform access control (94)8.484%
- Upgrades and platform fixes (94)7.878%
- Platform management overhead (92)7.373%
Reviewer Pros & Cons
Video Reviews
5 videos
Pricing
Entry-level set up fee?
- No setup fee
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
Starting price (does not include set up fee)
- $0.08 per hour
Product Demos
Demo: How to try out single-node OpenShift from Red Hat
Hands-on demo of Red Hat OpenShift Service on AWS
Features
Platform-as-a-Service
Platform as a Service is the set of tools and services designed to make coding and deploying applications much more efficient
- 8.2Ease of building user interfaces(85) Ratings
Ability to build flexible user interfaces using drag-and-drop tools
- 8.7Scalability(102) Ratings
Ease of scaling up or down to meet demand
- 7.3Platform management overhead(92) Ratings
Resources required to keep platform up and running
- 7.5Workflow engine capability(83) Ratings
Process automation using rule-based engine
- 8.4Platform access control(94) Ratings
Rules controlling what data different user categories can access
- 7.8Services-enabled integration(85) Ratings
Ability to integrate with cloud applications and data via APIs and pre-built connectors
- 8Development environment creation(92) Ratings
Ease of creating new development environments
- 8Development environment replication(88) Ratings
Ease of replicating new development environments
- 7.7Issue monitoring and notification(91) Ratings
Integrated monitoring and notification of issues and problems
- 7.9Issue recovery(90) Ratings
Ease of recovery from problem state
- 7.8Upgrades and platform fixes(94) Ratings
Ease of deployment of major upgrades or problem fixes
Product Details
- About
- Competitors
- Tech Details
- FAQs
What is Red Hat OpenShift?
Cloud Services Editions
- Red Hat OpenShift Service on AWS: A turnkey application platform that provides a managed Red Hat OpenShift service running natively on Amazon Web Services (AWS) used by organizations to increase operational efficiency, refocus on innovation, and build, deploy, and scale applications.
- Microsoft Azure Red Hat OpenShift: Red Hat and Microsoft jointly engineer, manage, and support the platform, used by organizations to increase operational efficiency, refocus on innovation, and quickly build, deploy, and scale applications.
- Red Hat OpenShift Dedicated: A managed Red Hat OpenShift offering on Amazon Web Services (AWS) and Google Cloud.
- Red Hat OpenShift on IBM Cloud: A managed Red Hat OpenShift cloud service that reduces operational complexity and helps organizations build and scale applications with the security of IBM Cloud.
Red Hat OpenShift cloud services automate the deployment and management of Red Hat OpenShift clusters, so organizations can build, deploy and scale applications quickly without having to incorporate and learn new technologies and processes, or manage integrations. It also helps users to:
- Reduce security & compliance risk through 24x7 global SRE coverage.
- Limit operational and staffing dependencies attached to particular providers.
- Reduce integration bottlenecks with repeatability and consistency for multi-cloud deployments.
Self-Managed Editions
- Red Hat OpenShift Platform Plus: The recommended self-managed option that builds on the capabilities of Red Hat OpenShift Container Platform with a complete platform for accelerating application development and application modernization. The full portfolio includes all the features of Red Hat OpenShift Container Platform along with several integration technology solutions including Red Hat Advanced Cluster Management for Kubernetes, Red Hat Advanced Cluster Security for Kubernetes, Red Hat OpenShift Data Foundation, and Red Hat Quay.
- Red Hat OpenShift Container Platform: A full set of operations and developer services and tools that includes everything in the Red Hat OpenShift Kubernetes Engine plus additional features and services.
- Red Hat OpenShift Kubernetes Engine: An enterprise Kubernetes runtime that includes Red Hat Enterprise Linux CoreOS immutable container operation system, administrator console and Red Hat OpenShift Virtualization.
Red Hat OpenShift self-managed editions provide more control and flexibility over OpenShift deployments. Self-managed editions allow deployment on any private or public cloud, on bare metal, or at the edge. In addition, long-term support provides flexible life cycles providing the option to choose when to upgrade to the next version of Red Hat OpenShift.
Red Hat OpenShift Video
Red Hat OpenShift Competitors
Red Hat OpenShift Technical Details
Deployment Types | Software as a Service (SaaS), Cloud, or Web-Based |
---|---|
Operating Systems | Unspecified |
Mobile Application | No |
Frequently Asked Questions
Comparisons
Compare with
Reviews and Ratings
(295)Attribute Ratings
Reviews
(1-25 of 101)Red Hat OpenShift 101
- Keeping max uptime
- Deploy anywhere
- AI integration
Best side of Red Hat OpenShift
- Best UI
- Truly opensource
- Disconnected environment mirror image some lab can be included in Partner training program
Red Hat OpenShift Rocks!
- User Friendly UI
- Routes
- Developer Experience
- Security
- CRDs could be grouped a bit easier
- Being able to set alert rules to cater for user workloads simply
Red Hat OpenShift is for Engineers
- Interface
- Naming conventions
- Application support
- None that I am aware of at this time
- Working with developers is streamlined, there is little time to wait for deployments
- Documentation - updates are quick but documentation is slow to update
Red Hat OpenShift in the enterprise
It does help by lowering the bar so other people can be involved in the platform as well.
- Machine API (at least for VMware)
- Upgrades are usually smooth and painless
- Be able to manage the complexity thru a GUI
- Better documentation
- Making some big changes smoother (change from SDN to OVN)
- Changing UI settings (such as logo)
- Some features are broken (ldapsync)
Red Hat OpenShift in the insurance industry
- Quick application deployment
- Quick API gateway calls and distribution
- Quick application recovery
- Speed to production
- Better SSO operator integration
- IPI isn't in a state for ease of use
- Upgrade branch paths sometimes are quirky and often times no consistent from cluster to cluster
Red Hat OpenShift
- Machine Autoscaling helps prevent machine overload during peak times
- Machine healthchecks are effective at replacing machines that are struggling
- Robust configurations allowing workload segregation such as anti-affinity rules and taints
- Red Hat OpenShift console is intuitive and easy to use
- Upgrades can be stressful to watch - often cluster operators report that they are failing even though the upgrade is proceeding without issue.
- Native observability is lacking. The canned dashboards are great, but to really dive into an issue, you need to be proficient in PromQL or have a third-party product installed for correlation.
- It would be nice to be able to review logs for containers that have been removed, at least for a few hours after they're gone. Instead we have to rely on log aggregators to view historic details.
Good Solution
- Licence low costs
- flexibility
- Trainning
- Native DR Solutions
- Hard Mult tenancy
- Network segregation
Red Hat OpenShift: One of the Best Cloud Platforms!
- Red Hat OpenShift is well-suited for complex requirements.
- Management of Red Hat OpenShift is easy when compared to Kubernetes.
- Kubernetes workloads can be easily migrated over to Red Hat OpenShift.
- Red Hat OpenShift has integrated developer tools and enhanced security.
- The dashboard can be a bit more user-friendly.
- Completed jobs continue to show up in the dashboard.
- There should be an option to filter out the completed BuildConfigs.
Big banking OCP installation.
- Compliance management.
- Automation environment.
- Registry
- Automation platform.
- Versioning control.
- Product support.
Openshift Review
- Ease of management on a day-to-day basis, both using the web console and the CLI tool.
- Network of observability, so having one single screen to see to have some network-related metrics for the pod levels. Also at the cluster itself level and more importantly is ease of use for troubleshooting when there's any timeout. This has been the single kind of issue I've been facing for my three years of experience with OpenShift and it hasn't been an easy task for such troubleshooting.
Open shift container platform (self managed) Review
- Obviously, it does container orchestration very well because it's the main purpose of the product. Creating routes has been very easy with the product, creating accessible routes, managing quotas, managing our workspace and our workload has been very efficient with this as well as managing our horizontal scalability.
- Sometimes the error messages are very vague when they happen and we have to dig in a lot longer than we should have just to find the exact error message in some lug. Whereas it could have been clear in the events, I assume. Aside from that, that's pretty much what I can think of off the top of my head.
Red Hat OpenShift Review
- Scales very well.
- It provides you with a landing pad to modernize what you have in a phased approach so you don't have to do it all at once, right? You can take small pieces of work and implement those on OpenShift over time. It enables us to be able to implement things like GI ops configuration as a service, and infrastructure as a service using the tools that are native to OpenShift, which gives us far greater reliability and consistency as far as monitoring for any kind of drift and configuration or unauthorized changes. So it pretty much gives us a lot of visibility on things that are otherwise relatively difficult to see using the old means of doing what we do. So it provides us with a modern set of tools to accomplish all those objectives.
- I think the easiest answer to that question is OpenShift as a platform. I don't know that I would necessarily say that I have any real complaints. However, as far as the architecture that it sits on to run, it's still very much so focused on X86-based computing architecture. And in our case, we're using both X 86 computing architecture and S3 90 computing architecture on the mainframe. And OpenShift as a whole in general is slightly slower and behind pace as far as making things compatible or workable on S3 90 as opposed to X 86. So that's kind of true of the entire Kubernetes marketplace in general. So it's not just an OpenShift problem, but it's still a pain point for us because it puts us in a position where we're having to wait on things on the one hand that we might not have to wait on for the other computer architectures. So to have them moving in parallel would be nice.
Red Hat OpenShift Review
- Mainly with right-sizing the applications, making the applications brought into this microservice architecture. So these are the ones that we noticed with the applications like we have migrated the applications from monolith to microservices and they're doing extremely well.
- I would say if OpenShift can provide us more insight into capacity management and maybe add a little bit of chargeback thing, so that will be more into the insight and observability. That's what we will need from a management perspective.
Red Hat OpenShift Review
- I'll say the first one is obviously high availability, right? Because now application earlier, if you take any application that used to run WebSphere legacy platform, we'll have a side or B side. And that was not a true failover. But now with OpenShift we can add multiple ports, you can have four ports or eight ports, 10 ports how your business or application needs. So it's very what you call no downtime and literally there is no downtime.
- Another example you can say the patching now we have to patch due to compliance every month. So we do rolling updates so there is no downtime so I'll say highly available, scalable, another security is another great feature that we can use core os. So those are the key features
- So one thing I can think of is the cloud where we are going because now we are seeing workload going to AWS or Azure. I think there'll be a lot of integration needed from the OpenShift, how we can leverage more cloud services as the industry is moving toward that direction.
- One thing I can definitely mention, we are trying to do a database. First I'll start with the Redis in-memory database. So we had that installed on the openshift. But the way Redis in-memory works is they have their own DNS. And now with the state full set it was challenging when we patched and it did not work. We had to do a manual intervention. So those are challenges especially when you have state full workload like databases, how do you scale those, right? So those are big challenges that we can overcome.
Eases app development and deployments.
- Usage of the Cloudservice
- Simplified and readily available APIs which improves the development speeds
- Remote debugging capabilities which again helps finding issues faster
- High scalability
- Complex due to several different components. Often we need employees to be trained to make full use of the Red Hat OpenShift platform capabilities. Training employees again slow down development/increase costs.
- Expensive as compared to other cloud based platforms like Kubernetes
- Single point and centralized visibility for hybrid or multi cloud deployments.
- Multi-cloud and multi-cluster security across hybrid and multi-cloud deployments.
- Enhanced security - with security contexts and selinux hardening.
- Enhanced security to application code - container registry and security/vulnerability scanning capabilities.
- Knowledge diffusion with less friction since OpenShift skills are non-trivial and demanding.
- Improved support for issues arising when using OpenShift.
- Improved samples catalog - examples, samples and tutorial code.
- Workload management.
- Security
- Simplicity of deployment with an extensive helm char catalog.
- Vendor lock-in.
- Maintenance cost.
- Short ttl of the releases.
Red Hat OpenShift opens windows to opportunities and flexibility
- Provides enterprise grade security in user friendly way
- includes pre-designed templates and an intuitive interface that is well received and furthermore customizable
- Provides access to rich value adding network of partners and open source technologies.
- Developers that prefer more structure may prefer other technologies
- Horizontal Pod Autoscaler (HPA)
- A user-friendly Web console
- Multi-Tenancy (multi projects)
- Commercial support
- Integration with Non-Red Hat Technologies
- Cost Considerations
- Resource Consumption
* Development of microservices-based applications
* Application Lifecycle Management
* Manageing Infrascture tasks with ease
Less appropriate Scenarios for Red Hat OpenShift in my compnay:
* Development of small applications
* a non containerized applications
RedHat OpenShift for future-proof agility and rapid growth.
- It integrates well with popular cloud providers (CSPs) like AWS, Azure, and Google Cloud Platform, adding flexibility and choice for cloud deployments. OpenShift provides centralized ingress control for managing how external traffic reaches applications running across multiple clusters and simplifies security management.
- OpenShift's S2I capability builds container images directly from source code and eliminates the need for manual configuration to provide consistency across deployments. Developers can push code changes and deploy updates to production environments to reduce manual work and accelerate release cycles.
- We take advantage of OpenShift's hybrid cloud capabilities. We run ML workloads on both on-prem infrastructure and public cloud platforms, depending on resource needs and cost considerations.
- OpenShift isn't exactly beginner-friendly. The initial setup is a bit challenging, and navigating the console feels like deciphering hieroglyphics for someone new to Kubernetes.
- Juggling multiple OpenShift clusters across different environments is still a clunky experience. Red Hat Advanced Cluster Management helps, but it adds another layer of complexity to an already intricate system.
- While OpenShift integrates with popular CI/CD tools, the experience isn't always smooth. Integrating GitOps workflows directly into OpenShift would make deployments even more easy and flexible.
Great investment of time and effort but results are worth it.
- Enhancing the security of the system.
- Helps in the organization to a large extent.
- Helps in running applications with ease and smoothly.
- It could do better in the user interface, as it seems a bit complex to some of my colleagues.
- Integration with other tools needs more work.
- I do feel that automated enhancement features cause unnecessary changes.
Using Openshift in Production.
- RBAC
- Private Registry.
- Integration with Third Party Tools.
- Reduce complexity In Openshift Configuration.
- Authentication using GitHub.
- Optimised Infrastructure Need to setup.
Stable and scalable PaaS platform
- Management of environment configuration, provisioning of pods and secrets is done in a foolproof, standard way so that multiple teams can identify and update it with minimal upkeep
- It has a large uptime ratio, meaning business applications downtime is usually not hampered
- It has an efficient way of scaling up and down pods to manage traffic and bandwidth
- Batch processing and streaming is not yet supported on the platform, and is supported by competitors like GCP
- Database hosting is handled separately, and thus cannot be maintained from the same pod
- It's not possible to create cross instance promotion paths