List of Loadster Customers
Phoenix, 85016, AZ,
United States
Since 2010, our global team of researchers has been studying Loadster 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 Loadster 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 Loadster for Application Performance Management include: Amazon, a United States based Retail organisation with 1578000 employees and revenues of $637.96 billion, Wells Fargo, a United States based Banking and Financial Services organisation with 205198 employees and revenues of $83.70 billion, Queensland Government, a Australia based Government organisation with 265887 employees and revenues of $60.14 billion and many others.
Contact us if you need a completed and verified list of companies using Loadster, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Loadster customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Amazon | Retail | 1578000 | $638.0B | United States | Loadster | Loadster | Application Performance Management | 2023 | n/a |
In 2023, Amazon deployed Loadster as part of its Application Performance Management capability. The engagement focused on browser and protocol-based load tests against retail web services and public APIs in the United States to validate scalability under heavy traffic and to support capacity planning, module usage is inferred from vendor disclosure of Amazon as a customer and from standard Application Performance Management workflows.
Implementation emphasized scenario orchestration, test parameterization, and repeatable test runs to produce performance baselines for operations and capacity planning teams. Loadster provided configurable browser and protocol test modules to emulate peak retail traffic, supporting engineering and site reliability functions with synthetic load testing and automated test execution aligned to performance validation and capacity planning processes.
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Queensland Government | Government | 265887 | $60.1B | Australia | Loadster | Loadster | Application Performance Management | 2023 | n/a |
In 2023, Queensland Government appears on Loadster's customer list and engaged Loadster, an Application Performance Management solution, to load-test public-facing government web services in Australia. Implementation scope centered on simulated browser and protocol bot testing for both website and API endpoints, leveraging scenario scripting and distributed load generation capabilities that are typical for the Application Performance Management category. The stated objective was to identify performance bottlenecks before traffic peaks and to improve reliability of state-level online services.
Operational coverage focused on public-facing web services and APIs across Queensland Government digital channels, supporting performance validation ahead of known peak events. Governance and process adaptation is implied by the deployment, with test orchestration and synthetic load testing integrated into release readiness and peak traffic planning workflows for production-adjacent environments. Loadster does not publish a dated case study for this customer, so specific integrations, partner involvement, and quantified outcomes are not publicly documented.
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Wells Fargo | Banking and Financial Services | 205198 | $83.7B | United States | Loadster | Loadster | Application Performance Management | 2023 | n/a |
In 2023, Wells Fargo & Company implemented Loadster for Application Performance Management to execute load and stress testing on customer-facing web applications in the United States, with the primary objective of identifying scalability bottlenecks and reducing the risk of downtime. Loadster was applied as a targeted performance validation tool for web and API endpoints supporting retail and digital banking customer experiences.
Configuration and module usage focused on standard load testing capabilities consistent with Application Performance Management workflows, inferred to include browser level scripting for realistic user journeys and protocol level bots for high volume API testing. Test scenarios emphasized concurrency profiles, session playback and sustained stress patterns to exercise front end and back end scalability under production like loads.
Operational ownership centered on performance engineering and QA teams working alongside web development and site reliability engineering groups, with tests executed against customer facing properties hosted and operated in the United States. The engagement scope covered synthetic load campaigns and scenario orchestration for both UI driven and API centric transactions, aligning with application performance validation and capacity planning activities.
Governance emphasized standardized test scenario libraries and repeatable test execution to surface bottlenecks before production incidents, while outcomes focused on discovering scalability limits and reducing downtime risk as stated by usage objectives. Loadster was used as the performance testing instrument to support those governance and operational goals within Wells Fargo and Company.
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