Item: Red Hat OpenShift
Rating: 10
Author: Verified User

Use Cases and Deployment Scope

My team and I use Red Hat OpenShift primary for our CI/CD (Continuous Integration / Continuous Deployment) pipeline, along with using it for database analytics. If our databases' threads experience starvation, Red Hat is one of the tools we mainly use to analyze the data in order to search for potential root causes.

Pros and Cons

It's incredibly easy to manage the containers and potential issues that may happen within those containers.
The Graphic User Interface (GUI) is great, so much so that I don't find myself using CLI (Command Line Interface) much.
It has Kubernetes functionality built in.

I find that, specifically, Secret Management is rather tricky, given the way the interface is designed.
I wish there were more documentation/built-in modules around the overall usage/use cases of Red Hat. If I were to start from the beginning, I would most likely spend a lot of time trying to learn how to use Red Hat effectively.
The monitoring functionality could be improved (timing of how it's displayed and details of what is actually happening). I find myself digging after the monitor triggers an alert vs seeing what the issue is at a glance.

Return on Investment

Definitely, the biggest ROI we've had is better container management and horizontal scaling, which then results in better operational efficiencies that help continue to scale/stabilize our application.
Increased time in identifying database issues and their root causes.
Increased productivity from how we are able to utilize the horizontal auto scaler.

Application Development and Delivery

One of the noticeable (positive) impacts Red Hat has had is the way we are able to investigate, identify, and better approach database issues. By analyzing the data/results from Red Hat, we find that getting to the root cause (and addressing/resolving it) has increased by at least 25%.

Performance

The huge fact is that Red Hat stays extremely responsive during our database thread starvations. During this dip in metrics (and even during times of heavy/high CPU usage, we are still able to utilize Red Hat because of how responsive and stable it has shown to be. If it weren't for that sheer fact, it may not be as efficient as we are today.

Key Insights

Do you think Red Hat OpenShift delivers good value for the price?

Yes

Are you happy with Red Hat OpenShift's feature set?

Yes

Did Red Hat OpenShift live up to sales and marketing promises?

Yes

Did implementation of Red Hat OpenShift go as expected?

Yes

Would you buy Red Hat OpenShift again?

Yes

Other Software Used

Google Kubernetes Engine, Docker, Kibana

Likelihood to Recommend

Well-suited: I find that Red Hat is extremely well-suited when we need a solution for horizontal autoscaling. Additionally, if you are looking for container management software, I cannot think of a better one than Red Hat. Less appropriate: In my honest opinion, although Red Hat does have database monitoring functionality, there might be other functions it is better at, and database monitoring can be done elsewhere (or prioritized less).

Red Hat Openshift's platform will be all you need to become more efficient.

Software Version

Modules Used

Overall Satisfaction with Red Hat OpenShift