OpenText LoadRunner Cloud Reviews

We primarily use this solution to deploy our apps to the server, for public use.

The usability and ability to integrate with other solutions is quite good. When I use it in on Azure, then Red Hat is the most likely solution I use. When I use AWS, then I tend to use Lambda functions. In either case, it works well and you can use it either way.

The features on offer do everything we need them to.

I don't know of any features that should be added. The solution isn't lacking anything at this point. We're happy with what is on offer.

I have had seven years of experience using this solution. It's been quite a while at this point.

We're a customer. We don't have any business partnerships with the company.

I'd rate the solution eight out of ten overall. The solution has been quite good and integrates well with other products. It has all of the features we need and isn't really lacking anything that we've noticed.

Public Cloud

Amazon Web Services (AWS)

I can use it just as much as I need. It is quick and intuitive.

We are able to ensure very quickly and frequently that our product is ready for prime time. Using StormRunner, Codefresh has managed to identify performance issues and when these issues are introduced.

When you start a test, it takes times to initiate.

We have been using the solution for 7 months.

No issues with deployment.

No issues with stability.

We never encountered issues with scalability.

Customer Service:

Excellent customer service.

Technical Support:

Excellent technical support.

Very intuitive.

In-house technical people.

StormRunner does the job in a very simple and cost effective way. HP has always lead this market.

I use OpenText LoadRunner Cloud primarily to run scripts and tests within our performance testing workflows.

OpenText LoadRunner Cloud’s features are technically similar to LoadRunner Enterprise or the standalone controller. However, a significant difference is in its depth of analysis. In the standalone LoadRunner analysis, I can merge graphs or set granular filters to obtain custom reports. Currently, LoadRunner Cloud provides direct custom reports, a feature that, if improved, might enhance our analysis. Another valuable aspect is the option to use JMX files, similar to JMeter scripts, with LoadRunner.

The analysis feature in OpenText LoadRunner Cloud requires improvement. In-depth analysis tools found in the standalone LoadRunner analysis, such as graph merging and setting granularity, would be beneficial. Additionally, handling JMX scripts in LoadRunner Cloud could be more comprehensive. It would also be convenient if there were options to convert scripts from competitor tools like NeoLoad to LoadRunner.

I have been using OpenText LoadRunner Cloud for about one and a half years. Initially, I used it a year ago, had a gap, and then started using it again in the last six months.

There is no difficulty in deploying OpenText LoadRunner Cloud from my perspective because a specific team in our organization handles the deployment of LoadRunner to our systems. We only use it once deployed.

OpenText LoadRunner Cloud is extremely stable for our use case, and I would rate it a nine out of ten.

OpenText LoadRunner Cloud is absolutely scalable. With load generators available, it is easily scalable to meet our needs.

I have not interacted directly with OpenText support. However, based on feedback from colleagues, the support could be faster.

Neutral

I have used NeoLoad in past projects, but currently, I use only OpenText LoadRunner Cloud.

Our own organization has a team responsible for deploying all software, including OpenText LoadRunner Cloud. We did not rely on third-party services for deployment.

I have evaluated NeoLoad in my previous work assignments.

I would appreciate documentation or some links to videos on AI-driven testing strategies with OpenText LoadRunner Cloud. I rate OpenText LoadRunner Cloud ten out of ten.

Private Cloud

Microsoft Azure