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Basics of load testing in Enterprise Applications using J-Meter

5 minutes read

We need to test websites and applications for performance standards before delivering them to the client. The performance or benchmark testing is an ongoing function of software quality assurance that extends throughout the life cycle of the project. To build standards into the architecture of a system — the stability and response time of an application is extensively tested by applying a load or stress to the system.

Essentially, ‘load’ means the number of users using the application while ‘stability’ refers to the system’s ability to withstand the load created by the intended number of users. ‘Response time’ indicates the time taken to send a request, run the program and receive a response from a server.

Load testing on applications can be a challenging ordeal if a performance testing strategy is not predetermined. Testing tasks require multifaceted skill-sets — from writing test scripts, monitoring and analyzing test results to tweaking custom codes and scripts, and developing automated test scenarios for the actual testing.

So, is load testing on applications really necessary?

Quality testing ensures that the system is reliable, built for capacity and scalable. To achieve this, the involved stakeholders decide the budget considering its business impact.

Now, this raises a question — how do we predict traffic based on past trends? and how can we make the system more efficient to handle traffic without any dropouts? Also, if and when we hit peak loads, then how are we going to address the additional volume? For this, it is crucial to outline the performance testing strategy beforehand.

5 Key Benefits of Performance Testing

  1. It identifies the issues at the early stage before they become too costly to resolve (for example, exposing bugs that do not surface in cursory testing, such as memory management bugs, memory leaks, buffer overflows, etc.).
  2. Performance testing reduces development cycles, produces better quality and more scalable code.
  3. It prevents revenue and credibility loss due to poor web site performance.
  4. To enable intelligent planning for future scaling.
  5. It ensures that the system meets performance expectations (response time, throughput, etc.) under-designed levels of load.

Organizations don’t prefer manual testing these days because it is expensive and requires human resources and hardware. It is also quite complex to coordinate and synchronize multiple testers. Also, repeatability is limited in manual testing.

To find the stability and response time of each API, we can test different scenarios by varying the load at different time intervals on the application. We can then automate the application by using any performance testing tool.

Performance Testing Tools

There are a bunch of different tools available for testers such as Open Source testing Tools — Open STA Diesel Test, TestMaker, Grinder, LoadSim, J-Meter, Rubis; Commercial testing tools— LoadRunner, Silk Performer, Qengine, Empirix e-Load.

Among these, the most commonly used tool is Apache J-Meter. It is a 100% Java desktop application with a graphical interface that uses the Swing graphical API. It can, therefore, run on any environment/workstation that accepts Java virtual machine, for example, Windows, Linux, Mac, etc.

We can automate testing the application by integrating the ‘selenium scripts’ in the J-Meter tool. (The software that can perform load tests, performance-functional tests, regression tests, etc. on different technologies.)

[Related: A Complete Guide to Regression Testing in Agile]

If the project is large in scope and the number of users keeps increasing day-by-day then the server’s load will be greater. In such situations, Performance testing is useful to identify at what point the application will crash. To find the number of errors and warnings in the code, we use the J-Meter tool.

How J-Meter Works

J-Meter simulates a group of users sending requests to a target server and returns statistics that show the performance/functionality of the target server/application via tables, graphs, etc.

The following figure illustrates how J-Meter works:

How J-Meter works - Load Testing on applications

The J-Meter performance testing tool can find the performance of any application (no matter whatever the language used to build the project).

First, it requires a test plan which describes a series of steps that the J-Meter will execute when run. A complete test plan will consist of one or more thread groups, samplers, logic controllers, listeners, timers, assertions and configuration elements.

The ‘thread’ group elements are the beginning of any test plan. Thread group element controls the number of threads J-Meter will use during the test run. We can also control the following via thread group: setting the number of threads, setting the ramp-up time and setting the loop count. The number of threads implies the number of users to the server application, while the ramp-up period defines the time taken by J-Meter to get all the threads running. Loop count identifies the number of times to execute the test.

After creating the ‘thread’ group, we need to define the number of users, iterations and ramp-up time (or usage time). We can create virtual servers depending on the number of users defined in the thread group and start performing the action based on the parameters defined. Internally J-Meter will record all the results like response code, response time, throughput, latency, etc. It produces the results in the form of graphs, trees and tables.

J-Meter has two types of controllers: Samplers and Logic controllers. Samplers allow the J-Meter to send specific requests to a server, while Logic controllers control the order of processing of samplers in a thread. They can change the order of requests coming from any of their child elements. Listeners are then used to view the results of samplers in the form of reporting tables, graphs, trees or simple text in some log files.

Please remember, always do performance testing by changing one parameter at a time. This way, you’ll be able to monitor response and throughput metrics and correct discrepancies accordingly. The real purpose of load testing is to ensure that the application or site is functional for businesses to deliver real value to their users — so test practically, and think like a real user.

If you’ve any queries or doubts, please feel free to write to hello@mantralabsglobal.com.

About the author: Syed Khalid Hussain is a Software Engineer-QA at Mantra Labs Pvt Ltd. He is a pro at different QA testing methodologies and is integral to the organization’s testing services.

Load Testing on Applications FAQs

What is the purpose of load testing?

Load testing is done to ensure that the application is capable of withstanding the load created by the intended number of users (web traffic).

Which tool is used for load testing?

There are open source and commercial tools available for load testing. 
Open Source Tools are — Open STA Diesel Test, TestMaker, Grinder, LoadSim, J-Meter, Rubis. Commercial testing tools are — LoadRunner, Silk Performer, Qengine, Empirix e-Load.

How load testing is done?

Load testing is done using test scripts, monitoring and analyzing test results and developing automated test scenarios.

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How Smarter Sales Apps Are Reinventing the Frontlines of Insurance Distribution

The insurance industry thrives on relationships—but it can only scale through efficiency, precision, and timely distribution. While much of the digital transformation buzz has focused on customer-facing portals, the real transformation is happening in the field, where modern sales apps are quietly driving a smarter, faster, and more empowered agent network.

Let’s explore how mobile-first sales enablement platforms are reshaping insurance sales across prospecting, onboarding, servicing, renewals, and growth.

The Insurance Agent Needs More Than a CRM

Today’s insurance agent is not just a policy seller—they’re also a financial advisor, data gatherer, service representative, and the face of the brand. Yet many still rely on paper forms, disconnected tools, and manual processes.

That’s where intelligent sales apps come in—not just to digitize, but to optimize, personalize, and future-proof the entire agent journey.

Real-World Use Cases: What Smart Sales Apps Are Solving

Across the insurance value chain, sales agent apps have evolved into full-service platforms—streamlining operations, boosting conversions, and empowering agents in the field. These tools aren’t optional anymore, they’re critical to how modern insurers perform. Here’s how leading insurers are empowering their agents through technology:

1. Intelligent Prospecting & Lead Management

Sales apps now empower agents to:

  • Prioritize leads using filters like policy type, value, or geography
  • Schedule follow-ups with integrated agent calendars
  • Utilize locators to look for nearby branch offices or partner physicians
  • Register and service new leads directly from mobile devices

Agents spend significantly less time navigating through disjointed systems or chasing down information. With quick access to prioritized leads, appointment scheduling, and location tools—all in one app—they can focus more on meaningful customer interactions and closing sales, rather than administrative overhead.

2. Seamless Policy Servicing, Renewals & Claims 

Sales apps centralize post-sale activities such as:

  • Tracking policy status, premium due date, and claims progress
  • Sending renewal reminders, greetings, and policy alerts in real-time
  • Accessing digital sales journeys and pre-filled forms.
  • Policy comparison, calculating premiums, and submitting documents digitally
  • Registering and monitoring customer complaints through the app itself

Customers receive a consistent and seamless experience across touchpoints—whether online, in-person, or via mobile. With digital forms, real-time policy updates, and instant access to servicing tools, agents can handle post-sale tasks like renewals and claims faster, without paperwork delays—leading to improved satisfaction and higher retention.

3. Remote Sales using Assisted Tools

Using smart tools, agents can:

  • Securely co-browse documents with customers through proposals
  • Share product visualizations in real time
  • Complete eKYC and onboarding remotely.

Agents can conduct secure, interactive consultations from anywhere—sharing proposals, visual aids, and completing eKYC remotely. This not only expands their reach to customers in digital-first or geographically dispersed markets, but also builds greater trust through real-time engagement, clear communication, and a personalized advisory experience—all without needing a physical presence.

4. Real-Time Training, Performance & Compliance Monitoring

Modern insurance apps provide:

  • On-demand access to training material
  • Commission dashboards and incentive monitoring
  • Performance reporting with actionable insights

Field agents gain access to real-time performance insights, training modules, and incentive tracking—directly within the app. This empowers them to upskill on the go, stay motivated through transparent goal-setting, and make informed decisions that align with overall business KPIs. The result is a more agile, knowledgeable, and performance-driven sales force.

5. End-to-End Sales Execution—Even Offline

Advanced insurance apps support:

  • Full application submission, from prospect to payment
  • Offline functionality in low-connectivity zones
  • Real-time needs analysis, quote generation, and e-signatures
  • Multi-login access with secure OTP-based authentication

Even in low-connectivity or remote Tier 2 and 3 markets, agents can operate at full capacity—thanks to offline capabilities, secure authentication, and end-to-end sales execution tools. This ensures uninterrupted productivity, faster policy issuance, and adherence to compliance standards, regardless of location or network availability.

6. AI-Powered Personalization for Health-Linked Products

Some forward-thinking insurers are combining AI with health platforms to:

  • Import real-time health data from fitness trackers or health apps 
  • Offer hyper-personalized insurance suggestions based on lifestyle
  • Enable field agents to tailor recommendations with more context

By integrating real-time health data from fitness trackers and wellness apps, insurers can offer hyper-personalized, preventive insurance products tailored to individual lifestyles. This empowers agents to move beyond transactional selling—becoming trusted advisors who recommend coverage based on customers’ health habits, life stages, and future needs, ultimately deepening engagement and improving long-term retention.

The Mantra Labs Advantage: Turning Strategy into Scalable Execution

We help insurers go beyond surface-level digitization to build intelligent, mobile-first ecosystems that optimize agent efficiency and customer engagement—backed by real-world impact.

Seamless Sales Enablement for Travel Insurance

We partnered with a leading travel insurance provider to develop a high-performance agent workflow platform featuring:

  • Secure Logins: Instant credential-based access without sign-up friction
  • Real-Time Performance Dashboards: At-a-glance insights into daily/monthly targets, policy issuance, and collections
  • Frictionless Policy Issuance: Complete issuance post-payment and document verification
  • OCR Integration: Auto-filled customer details directly from passport scans, minimizing errors and speeding up onboarding

This mobile-first solution empowered agents to close policies faster with significantly reduced paperwork and data entry time—improving agent productivity by 2x and enabling sales at scale.

Engagement + Analytics Transformation for Health Insurance

For one of India’s leading health insurers, we helped implement a full-funnel engagement and analytics stack:

  • User Journey Intelligence: Replaced legacy systems to track granular app behavior—policy purchases, renewals, claims, discounts, and drop-offs. Enabled real-time behavioral segmentation and personalized push/email notifications.
  • Gamified Wellness with Fitness Tracking: Added gamified fitness engagement, with rewards based on step counts and interactive nutrition quizzes—driving repeat app visits and user loyalty.
  • Attribution Tracking: Trace the exact source of traffic—whether it’s a paid campaign, referral program, or organic source—adding a layer of precision to marketing ROI.
  • Analytics: Integrated analytics to identify user interest segments. This allowed for hyper-targeted email and in-app notifications that aligned perfectly with user intent, driving both relevance and response rates.

Whether you’re digitizing field sales, gamifying customer wellness, or fine-tuning your marketing engine, Mantra Labs brings the technology depth, insurance expertise, and user-first design to turn strategy into scalable execution.

If you’re ready to modernize your agent network – Get in touch with us to explore how we can build intelligent, mobile-first tools tailored to your distribution strategy. Just remember, the best sales apps aren’t just tools, they’re growth engines; and field sales success isn’t about more apps. It’s about the right workflows, in the right hands, at the right time.

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