List of OpenText Enterprise Performance Engineering (ex Micro Focus LoadRunner) Customers
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Since 2010, our global team of researchers has been studying OpenText Enterprise Performance Engineering (ex Micro Focus LoadRunner) customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased OpenText Enterprise Performance Engineering (ex Micro Focus LoadRunner) for Application Performance Management from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using OpenText Enterprise Performance Engineering (ex Micro Focus LoadRunner) for Application Performance Management include: Royal Bank of Canada, a Canada based Banking and Financial Services organisation with 96628 employees and revenues of $48.64 billion, Frontline Education, a United States based Professional Services organisation with 950 employees and revenues of $215.0 million and many others.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Frontline Education | Professional Services | 950 | $215M | United States | OpenText | OpenText Enterprise Performance Engineering (ex Micro Focus LoadRunner) | Application Performance Management | 2016 | n/a |
In 2016 Frontline Education deployed OpenText Enterprise Performance Engineering (ex Micro Focus LoadRunner) to establish Application Performance Management for its K12 Special Education application portfolio. The implementation focused on formalizing load and stress testing as part of QA for education software, aligning performance objectives with development and end user acceptance criteria.
The deployment implemented scripted HTTP and Web Services scenarios using Micro Focus LoadRunner v12.55 artifacts and complementary JMETER v4.x plans, with test orchestration using BlazeMeter and Taurus for scalable execution. OpenText Enterprise Performance Engineering was used to centralize test assets and execution data, while runtime instrumentation included New Relic APM and JVM heap dump collection when memory leaks were suspected.
Operational coverage targeted Frontline EducationK12 Special Education applications, with responsibility executed by a Senior QA Load Performance Architect/Engineer consultant in Andover, MA during the engagement period August 2017 to August 2018. Test planning and requirements gathering were formalized, test scripts were versioned and parameterized, and performance analysis workflows routed findings to the development team and to product stakeholders for validation.
Governance emphasized repeatable test plans, structured result presentation, and prescriptive remediation recommendations delivered to development and end user groups. The program used OpenText Enterprise Performance Engineering together with New Relic APM, BlazeMeter, Taurus, JMETER, and LoadRunner to provide a traceable performance testing lifecycle, and to inform targeted system improvements based on observed memory and throughput behaviors.
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Royal Bank of Canada | Banking and Financial Services | 96628 | $48.6B | Canada | OpenText | OpenText Enterprise Performance Engineering (ex Micro Focus LoadRunner) | Application Performance Management | 2018 | n/a |
In 2018, Royal Bank of Canada implemented OpenText Enterprise Performance Engineering, ex Micro Focus LoadRunner, as its Application Performance Management solution to support end to end performance validation across agile delivery streams. The deployment was positioned to provide structured performance test planning and execution across complex application stacks, aligning performance requirements with ongoing sprint cycles and release gates.
The implementation included development of detailed performance test plans and strategies, scripting and scenario orchestration using LoadRunner and Performance Center, and execution and analysis workflows for load and stress testing. Functional capabilities emphasized in-scope test design, automated execution pipelines, result analysis and root cause investigation, with troubleshooting informed by Dynatrace diagnostics and server log analysis.
Operational coverage focused on coordination between Developers, Engineers and the Quality Engineering team, with Senior Performance Engineers leading test cycles and managing performance testing scope. Integration points explicitly referenced include Dynatrace for application performance monitoring and ingestion of server logs for bottleneck analysis, supporting a closed loop from test execution to remediation recommendations.
Governance and process changes were implemented to embed performance testing within the agile lifecycle, including end to end ownership of performance test plans, centralized orchestration via Performance Center, and regular handoffs to development and engineering teams to inform product direction in regards to performance requirements and goals. Ongoing activities included providing recommendations to improve solution performance and troubleshooting production and pre production bottlenecks based on test findings.
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