Find out what your peers are saying about Datadog, Dynatrace, Splunk and others in Application Performance Monitoring (APM) and Observability.
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.
LoadRunner Cloud helps with risk elimination by reducing performance degradation in production, ensuring a better end-user experience.
I faced issues with OpenText LoadRunner Cloud support when a problem took three to four months to resolve, which negatively impacted our project, especially when key team members were unavailable during leave periods.
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.
In-depth analysis tools found in the standalone LoadRunner analysis, such as graph merging and setting granularity, would be beneficial.
The technical personnel are not able to fix issues quickly, which becomes problematic during critical situations.
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.
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.
We can monitor CPU and memory utilization, and response times.
Product | Market Share (%) |
---|---|
Apica | 0.4% |
Dynatrace | 8.8% |
Datadog | 7.2% |
Other | 83.6% |
Product | Market Share (%) |
---|---|
OpenText Core Performance Engineering (LoadRunner Cloud) | 9.2% |
Apache JMeter | 16.4% |
Tricentis NeoLoad | 13.8% |
Other | 60.6% |
Company Size | Count |
---|---|
Small Business | 4 |
Midsize Enterprise | 2 |
Large Enterprise | 17 |
Company Size | Count |
---|---|
Small Business | 6 |
Midsize Enterprise | 8 |
Large Enterprise | 29 |
Apica leads in observability cost optimization, empowering IT teams to manage telemetry data economics efficiently. It supports various data types, reducing costs by 40% with flexible deployment options and eliminating tool sprawl through modular solutions.
Apica Ascent optimizes observability costs across metrics, logs, traces, and events and provides adaptability beyond proprietary formats. Its patented InstaStore™ technology ensures maximum storage efficiency and advanced root cause analysis. Organizations leverage Apica for comprehensive control over observability investments, reducing runaway costs. With solutions for mitigating high-cardinality data challenges, Apica supports any data lake preference and offers cloud or on-premises deployments. Its modular solutions eliminate unnecessary tool redundancies, enhancing economic efficiency in telemetry data management.
What features define Apica's capabilities?Apica addresses industry needs in monitoring and testing applications, enhancing user experience across sectors. It is instrumental in synthetic checks, load testing, API monitoring, and validating functionalities for stability in gaming, finance, eCommerce, and banking platforms. Apica's versatility supports both on-premises and cloud environments, ensuring accurate insights into service availability and network performance.
OpenText Core Performance Engineering offers scalable and efficient load testing using a cloud-based architecture, eliminating the need for physical infrastructure and supporting a wide range of users and testing scenarios.
OpenText Core Performance Engineering supports seamless integration with popular tools and delivers real-time anomaly detection and performance insights. With an intuitive interface, it supports scripting protocols and provides tests for cloud-hosted and on-premise applications. The platform streamlines performance testing and infrastructure management, addressing the needs of diverse sectors like banking, retail, and IT. However, it requires enhancements in reporting, integration, documentation, and support for older scripts.
What are the key features?Organizations in banking, retail, and IT sectors implement OpenText Core Performance Engineering for performance testing, integrating it within CI/CD pipelines. It suits public server application testing and enterprise systems like SAP and Salesforce, meeting diverse industry demands for app stability and responsiveness testing.
We monitor all Application Performance Monitoring (APM) and Observability reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.