Find out what your peers are saying about Red Hat, GitHub, Broadcom and others in Agile and DevOps Services.
With OpenShift combined with IBM Cloud App integration, I can spin an integration server in a second as compared to traditional methods, which could take days or weeks.
Moving to OpenShift resulted in increased system stability and reduced downtime, which contributed to operational efficiency.
It is always advisable to get the bare minimum that you need, and then add more when necessary.
The technical support from GitHub is generally good, and they communicate effectively.
Some forums help you get answers faster since you just type in your concern and see resolutions from other engineers.
I have not used GitHub's technical support extensively because there are many resources and a robust knowledge base available due to the large user community.
Red Hat's technical support is responsive and effective.
I have been pretty happy in the past with getting support from Red Hat.
Red Hat's technical support is good, and I would rate it a nine out of ten.
We have never had a problem with scalability, so I would rate it at least eight to nine.
GitHub is more scalable than on-prem solutions, allowing for cloud-based scaling which is beneficial for processing large workloads efficiently.
The on-demand provisioning of pods and auto-scaling, whether horizontal or vertical, is the best part.
OpenShift's horizontal pod scaling is more effective and efficient than that used in Kubernetes, making it a superior choice for scalability.
Red Hat OpenShift scales excellently, with a rating of ten out of ten.
If a skilled developer uses it, it is ten out of ten for stability.
It provides a reliable environment for code management.
GitHub is mostly stable, but there can be occasional hiccups.
It provides better performance yet requires more resources compared to vanilla Kubernetes.
I've had my cluster running for over four years.
It performs well under load, providing the desired output.
When working with the CI/CD pipeline and somebody is writing the workflow file, it would be best to include the AI feature so if they write incorrect code, it will notify me about it in the same dashboard, eliminating the need to use third-party tools to review the file.
One area for improvement in GitHub could be integration with other tools, such as test management or project management tools.
I would like to see some AI functionality included in GitHub, similar to the features seen in GitLab, to enhance productivity.
Learning OpenShift requires complex infrastructure, needing vCenter integration, more advanced answers, active directory, and more expensive hardware.
Red Hat OpenShift's biggest disadvantage is they do not provide any private cloud setup where we can host on our site using their services.
We should aim to include VMware-like capabilities to be competitive, especially considering cost factors.
Normally, GitHub is not expensive, but it would be welcome if it reduces costs for developing countries.
The pricing of GitHub is reasonable, with the cost being around seven dollars per user per month for private repositories.
The pricing of GitHub depends on the choice of solutions, such as building one's own GitHub Runners to save money or using GitHub's Runners with extra costs.
Initially, licensing was per CPU, with a memory cap, but the price has doubled, making it difficult to justify for clients with smaller compute needs.
Red Hat can improve on the pricing part by making it more flexible and possibly on the lower side.
The cost of OpenShift is very high, particularly with the OpenShift Plus package, which includes many products and services.
The pull request facility for code review.
GitHub Actions allow for creating multiple jobs that run in different stages such as build, test, and deploy, which enable better visibility and control over the deployment pipeline.
For branching, it works well, especially in an agile environment.
Because it was centrally managed in our company, many metrics that we had to write code for were available out of the box, including utilization, CPU utilization, memory, and similar metrics.
The concept of containers and scaling on demand is a feature I appreciate the most about Red Hat OpenShift.
A valuable feature of Red Hat OpenShift is its ability to handle increased loads by automatically adding nodes.
| Company Size | Count |
|---|---|
| Small Business | 42 |
| Midsize Enterprise | 12 |
| Large Enterprise | 48 |
| Company Size | Count |
|---|---|
| Small Business | 17 |
| Midsize Enterprise | 4 |
| Large Enterprise | 40 |
GitHub is a web-based Git repository hosting service. It offers all of the distributed revision control and source code management (SCM) functionality of Git as well as adding its own features. Unlike Git, which is strictly a command-line tool, GitHub provides a Web-based graphical interface and desktop as well as mobile integration. It also provides access control and several collaboration features such as bug tracking, feature requests, task management, and wikis for every project.
Red Hat OpenShift offers a robust, scalable platform with strong security and automation, suitable for container orchestration, application deployment, and microservices architecture.
Designed to modernize applications by transitioning from legacy systems to cloud-native environments, Red Hat OpenShift provides powerful CI/CD integration and Kubernetes compatibility. Its security features, multi-cloud support, and source-to-image functionality enhance deployment flexibility. While the GUI offers user-friendly navigation, users benefit from its cloud-agnostic nature and efficient lifecycle management. However, improvements are needed in documentation, configuration complexity, and integration with third-party platforms. Pricing and high resource demands can also be challenging for wider adoption.
What are the key features of Red Hat OpenShift?Red Hat OpenShift is strategically implemented for diverse industries focusing on container orchestration and application modernization. Organizations leverage it for migrating applications to cloud-native environments and managing CI/CD pipelines. Its functionality facilitates efficient resource management and microservices architecture adoption, supporting enterprise-level DevOps practices. Users employ it across cloud and on-premises platforms to drive performance improvements.
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