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Use Cases · /// One Engine

Six use cases. One execution + validation engine.

From Citrix → AVD migration to CI/CD pipeline gates, every LoadGen use case runs on the same scenario engine, the same agents, and the same evidence trail. Pick the outcome - the platform composes the rest.

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Six use cases · one engine. Pick the outcome - see the measured before / after.

Use cases
6
all on one engine
Avg lead time
−92 %
across outcomes
Avg incident
−87 %
drop · before / after
Evidence
signed
every run · same trail
Use cases
Capacity Planning
Spreadsheets fail under spike load.
CAPACITY
/use-cases/capacity-planning
Sign-off
14 d2 h
−94 %
Breakages
3.20.4
−87 %
Confidence
38 %92 %
+54 pt
Blocked eng
61
−83 %
FeaturesWizardSUT MonitoringSyncAlerting
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Real-world use cases

Filter by industry and category.

Sixteen real LoadGen customer stories across Finance, Healthcare, Public Sector, Technology/SaaS, and Managed Services. Pick what matches your environment.

INDUSTRY
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Showing 16 of 16 case studies.

Finance

European Bank Ensures Trading Platform Stability

A leading European bank, with a high-stakes trading division, needed to guarantee that its Citrix virtual desktop infrastructure could handle extreme loads. In the world of banking and trading, “every millisecond counts” (Ensuring peak performance in banking and trading infrastructures: Real-world testing with LoadGen) – even minor delays in their trading platform could risk financial loss and reputational damage. The bank’s IT team faced a critical question: could their Citrix apps support thousands of simultaneous traders during peak market hours without slowdowns?

Load & Performance
Public Sector

Government Portal Handles Peak Citizen Usage

A regional government agency was preparing to launch a new online citizen portal for services like permit applications and tax filings. They anticipated huge spikes in usage – for instance, near filing deadlines thousands of citizens might flood the site simultaneously. Past launches of e-government services had been rocky, with systems crashing under unexpected load, so the stakes were high. The agency needed to be sure this portal could withstand peak traffic so that citizens wouldn’t be turned away by errors or slow pages.

Load & Performance
Healthcare

Teaching Hospital Prevents Downtime After System Upgrades

A large teaching hospital relies on a suite of clinical applications delivered via a Citrix Virtual Apps and Desktops environment. During morning rounds, hundreds of doctors and nurses log in almost simultaneously to access electronic health records (EHR), imaging systems, and other tools vital to patient care. In the past, the hospital experienced slow logins and laggy applications after major upgrades, impacting clinical workflows. Before rolling out a significant EHR update, the hospital’s IT team needed to stress-test the system to ensure that performance would remain snappy – lives can literally depend on timely information access.

Load & Performance
Technology/SaaS

SaaS Provider Guarantees Smooth Scaling for Global Users

A fast-growing SaaS company provides a cloud-based project management platform to enterprise customers around the world. As the user base expanded, the company needed to be certain their web application would continue to deliver snappy performance globally – even as thousands of new users joined. They faced challenges with both browser compatibility and geographic distribution of users. The team wanted to test their application under heavy load across different browsers and simulate traffic coming from multiple regions to ensure consistent user experience for all clients.

Load & Performance
Managed Services

IT Service Provider Proactively Validates Client Environments

A managed IT services provider (MSP) is responsible for the IT environments of several clients across different industries. These clients use a mix of technologies – some have Citrix Virtual Apps, others use VMware Horizon VDI or Microsoft Remote Desktop (RDS) for remote offices, and a few are piloting Azure Virtual Desktop in the cloud. Ensuring optimal performance for each client’s end-users is part of the MSP’s Service Level Agreements (SLAs). In the past, the MSP mostly reacted to performance issues after they happened, leading to emergency calls and unhappy customers. They wanted a more proactive approach: test each client’s environment under load before changes went live or peak seasons hit, to catch problems early. They also needed a flexible solution that would work across all the diverse environments they manage.

Load & Performance
Public Sector

Regional Government Proactively Monitors Employee Experience

The IT department of a regional government agency was facing recurring complaints from employees about slow applications, but the complaints were sporadic and hard to verify. With staff spread across multiple offices and remote sites, the IT team wondered: “Do our applications perform similarly at every location, and are these user complaints genuine?” (LoadGen - End-to-End Monitoring Cloud edition). They lacked data to pinpoint if problems were due to local network issues, specific times of day, or particular apps. The agency needed a way to continuously monitor the actual user experience across all its offices and catch issues before employees opened support tickets. Additionally, they had SLA obligations for application performance (to ensure employees can serve the public efficiently), so early warning of any slowdowns was crucial.

E2E Monitoring
Healthcare

Hospital Safeguards Clinical Application Performance 24/7

In a large hospital system, application performance isn’t just about efficiency – it can impact patient care. The hospital’s clinicians use a variety of systems (electronic health records, pharmacy systems, diagnostic imaging viewers) delivered via a virtual desktop. There are strict internal SLAs: for instance, the EHR login must not exceed a certain number of seconds, and critical data must refresh quickly, to ensure doctors aren’t kept waiting. The hospital’s IT department needed to guarantee these performance standards at all times, including overnight and on weekends when fewer IT staff are on-site. In the past, an unnoticed slowdown in the middle of the night went unfixed until the next morning, affecting early shift doctors. The goal was to catch any degradation immediately and fix it before clinicians felt the impact.

E2E Monitoring
Finance

Global Trading Firm Monitors Mission-Critical Systems in Real Time

A global investment firm operates a trading platform used by hundreds of stockbrokers and financial analysts across New York, London, and Hong Kong. In this domain, downtime or slowness during trading hours can lead to millions in lost revenue. The firm’s IT operations team needed an extremely vigilant monitoring setup for their Azure Virtual Desktop-based trading workstations and web trading apps. Traditional server monitoring was in place, but it didn’t always capture the actual user experience – a page might load slowly due to an application issue even if server CPU was fine. They required real-time, end-to-end oversight: simulating trades and key user actions continuously, and alerting the team the moment something strayed outside the tight performance envelope. Essentially, they wanted to ensure the trading platform was always “green” on performance, because they knew that in trading, any delay could be disastrous.

E2E Monitoring
Technology/SaaS

SaaS Company Uses Synthetic Monitoring for Quality Assurance

A SaaS company offering an online customer relationship management (CRM) tool prides itself on a seamless user experience. They roll out updates and new features to their web application every two weeks. While their development process included automated testing, once the features were live, the company wanted a way to continuously verify that key user flows were working in the production environment. Relying on users to report issues was not acceptable for their agile philosophy. They aimed to catch any functional or performance regression immediately after deployment (or even before customers notice), especially for core actions like logging in, creating a contact, or running a report. Additionally, with users around the world, they wanted to ensure the web app remained fast across different browsers and devices.

E2E Monitoring
Managed Services

MSP Delivers Managed Monitoring as a Service

A Managed Service Provider that offered outsourced IT operations to multiple clients wanted to enhance its offering by adding proactive end-user experience monitoring. Their clients included a mix of financial firms, healthcare providers, and government agencies – each with critical applications that needed high uptime. The MSP’s value proposition was to prevent issues rather than just react to them. However, they lacked a unified monitoring solution that could simulate user activities on all these different client systems. They also needed to provide clear reports back to each client demonstrating system performance and compliance with SLAs. Essentially, the MSP sought a scalable way to watch all their clients’ applications from the user perspective, catching issues early and giving clients visibility, all without a heavy burden on their own staff.

E2E Monitoring
Public Sector

Government Department Meets Compliance Through Detailed Performance Reports

A national government department (for example, a social services agency) operates under strict regulations for IT service delivery. They must adhere to certain performance standards – such as system response times and availability – and regularly report these metrics to an oversight body to prove compliance. Preparing these reports was historically a painful process: the IT team had to pull data from multiple monitoring tools and compile it manually for auditors, which took days. Moreover, if a compliance audit asked for specific historical data (e.g., “show us the system uptime and average response time for each month of last year”), it was labor-intensive to gather. The department needed a more efficient way to collect, analyze, and report performance data. They also wanted to proactively ensure they were meeting targets, rather than discovering issues when it was too late. In short, they sought a comprehensive insight tool to centralize IT performance metrics and simplify compliance reporting.

Insight & Reporting
Finance

Bank Optimizes Capacity Planning and Avoids Over-Provisioning

A large European bank runs a complex IT infrastructure for its online banking and internal operations. They faced a common challenge: how to provision enough capacity to handle peak loads and future growth, without overspending on idle resources. In the past, capacity upgrades were often reactionary (after performance issues) or based on conservative guesses (“let’s add 20% more servers just in case”). This led to periods of over-provisioning where expensive hardware sat underutilized, hurting the IT budget. The bank wanted a smarter, data-driven approach to capacity planning. They needed to know exactly how their systems were being used over time, identify true peak usage patterns, and forecast when they’d need more capacity. They also wanted to ensure they weren’t missing times when systems were stressed to their limits. Essentially, the goal was to right-size their infrastructure – scaling up or down in line with actual user demand – and justify those decisions with solid data to finance stakeholders.

Insight & Reporting
Managed Services

MSP Proves Value to Clients with Insightful Reports and Proactive Optimization

A Managed Service Provider handling IT for multiple clients (including some in highly regulated industries) wanted to strengthen its client relationships by being more transparent and proactive with performance data. The MSP already used LoadGen for testing and monitoring; now they realized they could leverage LoadGen’s Insight and reporting capabilities to deliver even greater value. Specifically, they aimed to provide each client with regular, easy-to-understand reports showing how the client’s applications and systems were performing, improvements achieved over time, and any recommendations. They also wanted to use the data to identify opportunities for optimization in client environments (for example, noticing a trend that suggests a database needs tuning or a memory upgrade) and advise the client before an issue arose. By doing this, the MSP hoped to reinforce their role as a trusted advisor, not just a break-fix vendor. The challenge was gathering all relevant data and presenting it in a clear way – something that was tedious if done manually.

Insight & Reporting
Public Sector

Government Agency Automates Regression Testing for Legacy Apps

A national government agency maintains several legacy but mission-critical applications used by thousands of civil servants. Every time there’s a security patch, Windows update, or application upgrade, the IT department must thoroughly test these apps to ensure no new bugs or performance issues have been introduced. Historically, this regression testing was done manually: teams of testers would spend days clicking through workflows, which was slow and prone to human error. The agency was under pressure to increase efficiency and also to document testing results for compliance reasons. They needed a way to automate these repetitive tests and run them more frequently (even overnight), so that updates could be deployed faster with confidence. However, they didn’t have programming experts on the testing team, so a code-heavy automation tool wouldn’t be practical – they required a no-code solution that business-oriented testers could use.

Functional & Automated
Technology/SaaS

SaaS DevOps Team Integrates LoadGen into CI/CD Pipeline

A software-as-a-service company developing an e-commerce platform follows an agile methodology with frequent releases. Their DevOps team’s goal is to implement continuous integration/continuous delivery (CI/CD) – meaning code changes are automatically built, tested, and deployed. A critical part of this process is running regression tests on each build to catch any breakages early. The team had unit tests, but they lacked robust end-to-end functional tests for the user interface and workflows (e.g., adding an item to cart, checking out, etc.). Writing and maintaining complex UI test scripts (with tools like Selenium) had proven difficult and time-consuming. They wanted a solution that could easily create these functional tests and hook into their CI system (Jenkins) so that tests run automatically on every new build. Additionally, as a lean startup, they needed something efficient – both in cost and in the time required by their small QA team.

Functional & Automated
Managed Services

IT Outsourcer Uses No-Code Testing to Ensure Smooth Client Software Updates

A managed services firm handles IT for a chain of private clinics, including maintaining a custom clinic management software that doctors and receptionists use daily. This software gets updates every few months (for compliance changes, new features, etc.), and the MSP is responsible for rolling them out. In the past, each update was nerve-wracking: would scheduling, billing, and patient records functions still work correctly afterward? The MSP had a team run through test scripts manually at each clinic, but with dozens of clinics, this was slow and expensive. They needed to automate these acceptance tests to confidently deploy updates overnight and ensure each clinic’s workflows remained unaffected. Furthermore, healthcare is a regulated industry – if the system malfunctions, it could disrupt patient care or violate data regulations – so high assurance and documentation of testing was important. The MSP also sought a solution that their team (not all of whom were programmers) could use comfortably.

Functional & Automated

Same engine. Six surfaces.

Every use case runs on one engine.

The wizard, the agent fleet, the live cockpit, the comparison view, the alert engine, and the audit log are the same code paths regardless of whether you’re proving an SLA or gating a CI deploy. Use cases compose - they don’t fragment.

"Six playbooks · one platform. Buy the engine once; apply it to whichever outcome the next quarter calls for."

Same scenario engine
Wizard-authored scenarios drive load tests, monitoring, uptime, and SLA validation alike - no per-use-case re-build.
Same agent fleet
Core / Full / VDI agents serve every use case. One install, every workload - web, desktop, AVD, Horizon, Citrix, RDS.
Same comparison view
5-test overlay, percentile metrics, and AI-flagged anomalies are shared across migration, capacity, SLA, and pipeline gates.
Same evidence trail
Every run signs into the same audit log - read it for SLA, for migration sign-off, for pipeline post-mortems, for tenant reports.

Universal Loop

Model · Execute · Validate · Improve.

The four motions every LoadGen use case shares - applied to whatever outcome the next release demands.

Model

Author scenarios, profiles, contracts, or pipelines visually - no scripts. Same engine across every use case.

Execute

Run on the same launchers, with the same agents, against the same target platforms. Phase-aware, schedule-aware, CI-callable.

Validate

Compare against baselines and contracts. Pass / fail per gate, percentile-first, signed into an audit trail.

Improve

AI-flagged regressions and recommendations route into the next iteration. Use cases compound - they don’t fragment.

One platform. Pick the outcome.

Start the trial. Run your first scenario. Use the same install for the next five outcomes that come down the roadmap.

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