AI Buyer Insights:

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Michelin, an e2open customer evaluated Oracle Transportation Management

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Michelin, an e2open customer evaluated Oracle Transportation Management

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

List of LoadStorm Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
Bissell Retail 500 $100M United States LoadStorm LoadStorm Application Performance Management 2016 n/a
In 2016, Bissell implemented LoadStorm for Application Performance Management to support its web and API engineering teams in the United States. LoadStorm was used to run targeted API and web workflow performance testing, exercising concurrency and throughput scenarios while capturing response times and error rates to assess the behavior of Bissell web endpoints and backend services. Testing activity focused on API and web performance testing as the primary module usage within LoadStorm, providing scenario scripting, load profile orchestration, and performance reporting to engineering stakeholders. Operational scope was explicitly the web and API engineering teams in the United States, and test outputs were used to identify API and service bottlenecks and to guide remediation work aimed at improving reliability, with LoadStorm integrated into engineering triage and release verification workflows consistent with Application Performance Management practices.
Business Insider Media 500 $65M United States LoadStorm LoadStorm Application Performance Management 2011 n/a
In 2011, Business Insider implemented LoadStorm as an Application Performance Management solution to support a major site relaunch in the United States. The engagement focused on web performance and traffic scalability, exercising the public web tier and content delivery flows with load and stress testing to validate peak-traffic behavior. LoadStorm was configured to simulate concurrent user traffic and session patterns representative of editorial peaks, aligning testing scenarios with the site relaunch schedule. The implementation served as a pre-launch validation step for release gating and operational readiness. Module usage centered on general web performance and load testing capabilities within the Application Performance Management category, including scenario scripting, virtual user orchestration, and iterative run analysis for performance regressions. Operational scope covered web operations, engineering, and product release teams in the United States, with tests executed against staging and pre-production environments to inform rollout decisions. Governance incorporated test-based signoff into the deployment workflow, and the engagement explicitly validated peak-traffic behavior and improved operational confidence during the relaunch.
VolunteerMatch Non Profit 300 $50M United States LoadStorm LoadStorm Application Performance Management 2014 n/a
In 2014, VolunteerMatch deployed LoadStorm in the United States to conduct recurring load and performance testing of high-traffic directory workflows and user facing pages. The initiative focused on validating web tier scalability and concurrent user behavior for the public volunteer directory and search driven listing pages. LoadStorm was used as an Application Performance Management tool to execute scheduled load scenarios that simulated heavy concurrent users across core HTTP endpoints, validating response profiles for directory search, listing pages, and user sign up flows. Configuration centered on repeatable test profiles and ramping concurrency to reproduce peak load conditions and to inform capacity decisions. The implementation leveraged general web performance and load testing capabilities rather than discrete business process modules. Operational coverage remained within the United States and testing was recurring to support ongoing capacity planning and release validation. Test outcomes were consumed by engineering and operations stakeholders to predict system behavior under heavy concurrent user scenarios and to prioritize scalability work.
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FAQ - APPS RUN THE WORLD LoadStorm Coverage

LoadStorm is a Application Performance Management solution from LoadStorm.

Companies worldwide use LoadStorm, from small firms to large enterprises across 21+ industries.

Organizations such as Bissell, Business Insider and VolunteerMatch are recorded users of LoadStorm for Application Performance Management.

Companies using LoadStorm are most concentrated in Retail, Media and Non Profit, with adoption spanning over 21 industries.

Companies using LoadStorm are most concentrated in United States, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of LoadStorm across Americas, EMEA, and APAC.

Companies using LoadStorm range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 100%, large organizations with 1,001-10,000 employees - 0%, and global enterprises with 10,000+ employees - 0%.

Customers of LoadStorm include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.

Contact APPS RUN THE WORLD to access the full verified LoadStorm customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Application Performance Management.