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LoadRunner Cloud helps with risk elimination by reducing performance degradation in production, ensuring a better end-user experience.
The ROI is not necessarily cost savings. Sometimes a customer wants to use OpenText LoadRunner Cloud, or it's the only tool that will solve the problem depending on the application.
It's important to note that OpenText has recently taken over Micro Focus.
APICa is scalable.
It is very scalable, and on the cloud, it's even more scalable, potentially unlimited.
With load generators available, it is easily scalable to meet our needs.
The solution is highly scalable, which is its main feature.
OpenText LoadRunner Cloud is extremely stable for our use case.
When editing scripts, only one can be accessed at a time, risking changes affecting other folders.
It would also be convenient if there were options to convert scripts from competitor tools like NeoLoad to LoadRunner.
I expect an improvement in the cloud location offering to better serve local applications, particularly to enhance testing accuracy for users in regions like Thailand.
It's delivering functionality, but we also use JMeter, which is free.
OpenText LoadRunner Cloud pricing is flexible, offering a more affordable solution compared to the more expensive on-premise LoadRunner.
It is useful for both performance and automation testing, facilitating access to headers and payloads easily, enhancing scripts with dynamic values.
A significant difference is in its depth of analysis.
Its LoadRunner functionality allows us to record a solution's networking protocol and replay them.
OpenText LoadRunner Cloud can scale in a cloud-based environment to support up to ten thousand concurrent users without capacity loss, which is not possible with on-premise solutions on personal machines.
Apica offers a unified platform to remove complexity and cost associated with data management. You collect, control, store, and observe your data and can quickly identify and resolve performance issues before they impact the end-user. Apica Ascent swiftly analyzes telemetry data in real-time, enabling prompt issue resolution, while automated root cause analysis, powered by machine learning, streamlines troubleshooting in complex distributed systems. The platform simplifies data collection by automating and managing agents through the platform’s Fleet product. Its Flow product simplifies and optimizes pipeline control with AI and ML to help you easily understand complex workflows. Its Store component allows you to never run out of storage space while you index and store machine data centrally on one platform and reduce costs, and remediate faster. Observe offers modern observability data management, helping you with MELT data, effortless dashboarding, and seamless integration of synthetic and real data.
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