SupremeTech’s Expertise in the Process of Performance Testing

The Importance of Performance Testing and SupremeTech’s Expertise

Hello everyone, I’m Vu, a dedicated Quality Control professional committed to delivering software and applications that provide the best user experience. With over 12 years of experience in the industry, I am excited to share valuable insights on Performance Testing—an essential step to ensure that software functions smoothly and effectively before it reaches users. Even a slight delay can lead to customer loss in today's fast-paced era, making performance testing crucial for all businesses. How can systems maintain smooth operation during unexpected traffic spikes? How can we prevent crashes during peak times? The solution lies in performance testing. At SupremeTech, we provide high-quality performance testing solutions that guarantee your systems remain stable and efficient. 6 Notable Technology Incidents From the Past Healthcare.gov (2013): This insurance website crashed completely when it launched, leading to significant confusion among American citizens.Amazon Prime Day (2018): The e-commerce giant lost substantial revenue on the epic sale because the platform had crashed.Google Cloud (2019): A configuration issue caused Google Cloud to crash, affecting numerous primary services and highlighting the importance of performance testing.Zoom During the Covid Pandemic (2020): To meet the surge in online work demand, Zoom had to build its infrastructure rapidly.Facebook Outage (2021): A configuration error caused the entire Meta ecosystem to go down for 6 hours, resulting in significant reputational and financial losses.PlayStation Network (2023): Shortly after launching a new game on PlayStation 5, Sony was unprepared for gamers' inability to download it. These incidents serve as a wake-up call for all businesses. No system is immune to performance issues if it hasn't been thoroughly tested and optimized. Here are some key reasons why companies should prioritize Performance Testing for their products: Prevent Revenue Loss: A slow or crashing system can drive customers away, leading to lost revenue.Protect Brand Reputation: Major performance incidents often leave a negative impression, damaging credibility.Prepare for Growth: Testing allows you to scale operations confidently without worrying about system issues. What is Performance Testing? Performance testing is a method of testing, measuring, and evaluating a system's speed, stability, and load capacity to ensure it operates effectively under various conditions. Overview of Performance Testing: Load Capacity Assessment: Determining the maximum load limit that the system can handle.Identifying Bottlenecks: Finding weaknesses as a way to enhance performance.Improving User Experience: Ensuring users have a smooth experience while protecting brand reputation. Types of Performance Testing Load Testing: Evaluating load capacity by simulating large numbers of concurrent users. We identify the system's load threshold and address weaknesses before issues arise.Stress Testing: Pushing the system to its maximum limits to test its response in worst-case scenarios, ensuring safety.Endurance Testing: Assessing system durability when operating continuously over long periods to ensure stable performance.Spike Testing: Simulating sudden spikes in traffic, such as during major sales campaigns, helping businesses prepare for peak hours. SupremeTech's Exceptional Capabilities Flexible Integration with Various Platforms: We can conduct tests across diverse platforms, from mobile applications and websites to complex systems, ensuring optimal performance for all platforms.Detailed Data Analysis: We not only identify bugs but also provide detailed reports with optimization recommendations based on real data.  This helps you effectively address performance issues.Flexible Automated Updates: SupremeTech's automated systems allow businesses to adjust and optimize their processes easily as they grow.Dedicated Consulting Team: SupremeTech's experienced experts are ready to support you from planning through implementation and maintain high efficiency. SupremeTech - Your Partner for Optimal Performance At SupremeTech, we are committed to researching advanced technologies, maintaining professional workflows, and employing a passionate team to deliver exceptional value in all our products and services. Performance testing is more than just a technical task; it is essential for maintaining your reputation and achieving market success. Allow SupremeTech to enhance your products for today and the future. For more insights into Performance Testing, check out our blogs below: The Process of Performance Testing at SupremeTechThe Ultimate Guide to an Essential JMeter Performance Testing ToolPerform API Testing using Postman

 Exploring API Performance Testing with Postman

Hello, tech enthusiasts and creative developers! I’m Vu, the author of SupremeTech’s performance testing series. In the article “The Ultimate Guide to JMeter Performance Testing Tool,” we explored JMeter's strengths and critical role in performance testing. Today, I’m introducing an exciting and straightforward way to do API performance testing using Postman. What is Postman? Postman is a robust API (Application Programming Interface) platform that empowers developers to quickly design, test, document, and interact with APIs. It is a widely used tool for testing APIs, which is valuable in software development, primarily web or mobile app development. Why Use Postman for API Testing? Postman is favored by software developers, testers, and API specialists because of its many advantages: User-Friendly Interface: Postman’s intuitive design makes it easy to use.Supports Diverse HTTP Methods: It handles requests such as GET, POST, PUT, DELETE, PATCH, OPTIONS, and more.Flexible Configuration: Easily manage API request headers, parameters, and body settings.Test Automation with Scripts: Write JavaScript code within the Tests tab to automate API response validation.Integration with CI/CD: Postman's CLI tool, Newman, seamlessly integrates with CI/CD pipelines, enabling automated API testing in development workflows.API Documentation and Sharing: Create and share API documentation with team members or clients effortlessly. Performance API Testing on Postman As of mid-2024, Postman introduced a new feature allowing users to perform API performance testing quickly and conveniently. With just a few simple steps, you can evaluate your API’s performance under high load and ensure its strength. Step 1: Select the Collection for Performance Testing Open Postman and navigate to the Collections tab on the left sidebar.Choose the Collection or Folder you want to test. Step 2: Launch the Collection Runner After selecting your desired Collection or Folder, click Run Collection to open the Collection Runner window.In the Runner, select the APIs you want to include in the performance test.Switch to the Performance tab and choose a simulation method:Fixed: Simulates a fixed number of users.Ramp Up: Starts with a few users and gradually increases.Spike: Introduces a sudden surge in traffic followed by a reduction.Peak: Increases traffic to a high level and sustains it for a period. Step 3: Adjust Virtual Users and Test Duration Configure the Virtual Users and Test Duration settings to simulate the desired load.Start with smaller values, then gradually increase them to gain a clear understanding of your API's performance under varying conditions. Step 4: Run the Test Click Run to start the performance test.During the test, Postman will send API requests and provide real-time data on:Response Time: The API's duration to respond to a request.Error Rate: The percentage of failed requests.Throughput: The number of API requests the system can handle per second. Step 5: Analyze the Report Once the test is complete, Postman generates a detailed report, including: Response Time: Tracks the duration it takes for APIs to process requests.Error Rate: Highlights any issues encountered during testing.Throughput: Measures the system's capacity to process requests under load. Use these metrics to evaluate whether your API performs efficiently under heavy traffic. These insights will guide you in optimizing your API for better performance. Leverage Customization for Realistic User Simulation Postman allows you to customize request data for each virtual user. You can upload a CSV or JSON file with unique datasets if you want different data for each user. This feature enables a more accurate simulation of real-world user behavior. After each test run, Postman provides an easy-to-understand report highlighting the areas for improvement. You can track performance changes and compare test results to identify weaknesses and refine your API. Test and Optimize Your API with Postman With Postman’s new performance testing feature, API optimization has never been easier. It helps you quickly identify and address potential issues to ensure your system is always ready to handle user demands effectively and reliably.   For more details and step-by-step guidance, check out the following resources on the Postman website:   OverviewRun a performance testView performance test metricsDebug performance test errorsInject data into virtual users Start your API performance optimization journey with Postman and prepare your system to meet every demand seamlessly. >>> Explore more articles about performance testing: SupremeTech’s Expertise in the Process of Performance Testing

The Ultimate Guide to JMeter Performance Testing Tool

At SupremeTech, we are dedicated to creating technology products that provide the best user experience. In this article, I will introduce you to JMeter performance testing, a powerful and flexible tool that significantly enhances the quality of technology products. With its ability to support various protocols, JMeter allows you to test the performance of a wide range of applications, from web services to APIs and even real-time applications. Let’s explore the types of applications JMeter can be applied to and the outstanding features it offers! For more insights into Performance Testing, check out our blogs below: The Process of Performance Testing at SupremeTechPerform API Testing using Postman Applications Suitable for JMeter Web Applications For applications using HTTP/HTTPS protocols, such as e-commerce sites, blogs, or corporate websites, JMeter can help assess response times and system performance. RESTful APIs JMeter supports load testing for APIs, measuring response times, and checking stability. Real-Time Applications (WebSocket Applications) For applications that require real-time communication, such as chat applications or online games, JMeter offers performance testing with the WebSocket Sampler Plugin, ideal for messaging systems or online monitoring. Mobile Applications JMeter can simulate requests from mobile applications to their backend APIs, such as food delivery apps or digital banking services. Database-Driven Applications For applications that rely on database queries, like CRM or ERP systems, JMeter supports performance testing using the JDBC Request Plugin to evaluate database efficiency. Custom Protocol Applications For applications using unique protocols like TCP or UDP, JMeter allows for performance simulation and testing using the TCP Sampler, which benefits  IoT applications or data transmission over local networks. Why Should Use JMeter Performance Testing Tool? Advantages Free and open source: JMeter is a cost-free tool that is easy to use.Multi-protocol support: It supports protocols like HTTP, FTP, SOAP, REST, etc.User-friendly interface: It provides an intuitive graphical interface suitable for beginners.Scalability: Supports plugins and can integrate with CI/CD tools like Jenkins.Detailed measurement: Offers comprehensive reports on performance metrics such as latency, error rates, and response times.Distributed testing: Allows load testing across multiple servers to simulate high traffic volumes. Disadvantages    Performance limitations under heavy load: JMeter may struggle with extremely high loads due to resource consumption.Not optimized for UI testing: JMeter might not be the best choice if you need to test complex user interfaces.Limited scripting flexibility: While it uses BeanShell and Groovy scripts, it lacks the flexibility of some other tools.Complex result analysis: Default reports from JMeter may not be intuitive and require external tools for advanced analysis.Learning curve: The complex features of JMeter can take time to master. What You Should Know About JMeter Plugins Plugins are an integral part of JMeter that significantly enhance its testing capabilities. Some notable plugins include: JMeter Plugins Manager: Easily manage plugins without manual configuration.PerfMon Metrics Collector: Monitors system resources like CPU, RAM, Disk, and Network during tests.JDBC Request Plugin: Tests database performance through JDBC.WebSocket Sampler: Supports WebSocket protocol testing for real-time applications.Throughput Shaping Timer: Adjusts request rates to achieve desired throughput.ElasticSearch Backend Listener: Integrates with ElasticSearch and Kibana for data analysis and visualization. Types of Reports Provided by JMeter JMeter offers various reports to help analyze and evaluate system performance: Dashboard Report: Provides an overview with graphs and data tables to track throughput, response times, and error rates.Aggregate Report: Supplies detailed aggregated data about each sampler or group of requests.Graph Results: Displays graphs showing changes in response times and throughput over time.Response Time Distribution: Shows response time distribution to identify acceptable thresholds. JMeter is a necessary tool for testers performing performance testing across various applications and protocols. Despite some limitations, its support for plugins and detailed reporting makes monitoring and analyzing system performance easy. Best of all, it is completely free! Make the most of JMeter to ensure your application runs smoothly in testing and production environments.

Level Up Your Code: Transitioning to Validated Environment Variables

Validated Environment variables play a critical role in software projects of all sizes. As projects grow, so does the number of environment variables—API keys, custom configurations, feature flags, and more. Managing these variables effectively becomes increasingly complex. If mismanaged, they can lead to severe bugs, server crashes, and even security vulnerabilities.  While there’s no one-size-fits-all solution, having some structure in how we manage environment variables can really help reduce mistakes and confusion down the road. In this article, I’ll share how I’ve been handling them in my own projects and what’s worked well for me so far. My Personal Story When I first started programming, environment variables were a constant source of headaches. I often ran into problems like: Misspelled variable names.Failure to retrieve variable values, even though I was sure they were set.Forgetting to define variables entirely, leading to runtime errors. These issues were tricky to detect. Typically, I wouldn’t notice anything was wrong until the application misbehaved or crashed. Debugging these errors was tedious—tracing back through the code to find that the root cause was a missing or misconfigured environment variable. For a long time, I struggled with managing environment variables. Eventually, I discovered a more effective approach: validating all required variables before running the application. This process has saved me countless hours of debugging and has become a core part of my workflow. Today, I want to share this approach with you. A Common Trap in Real Projects Beyond personal hiccups, I’ve also seen issues arise in real-world projects due to manual environment handling. One particular pitfall involves relying on if/else conditions to set or interpret environment variables like NODE_ENV. For example: if (process.env.NODE_ENV === "production") { // do something } else { // assume development } This type of conditional logic can seem harmless during development, but it often leads to incomplete coverage during testing. Developers typically test in development mode and may forget or assume things will "just work" in production. As a result, issues are only discovered after the application is deployed — when it's too late. In one of our team’s past projects, this exact scenario caused a production bug that slipped through all local tests. The root cause? A missing environment variable that was only required in production, and the conditional logic silently skipped it in development. This highlights the importance of failing fast and loudly—ideally before the application even starts. And that’s exactly what environment variable validation helps with. The Solution: Validating Environment Variables The secret to managing environment variables efficiently lies in validation. Instead of assuming all necessary variables are correctly set, validate them at the application’s startup. This prevents the application from running in an incomplete or misconfigured state, minimizing runtime errors and improving overall reliability. Benefits of Validating Environment Variables Error Prevention: Catch missing or misconfigured variables early.Improved Debugging: Clear error messages make it easier to trace issues.Security: Ensures sensitive variables like API keys are set correctly.Consistency: Establishes a standard for how environment variables are managed across your team. Implementation Here’s a simple and structured way to validate environment variables in a TypeScript project. Step 1: Define an Interface Define the expected environment variables using a TypeScript interface to enforce type safety. export interface Config { NODE_ENV: "development" | "production" | "test"; SLACK_SIGNING_SECRET: string; SLACK_BOT_TOKEN: string; SLACK_APP_TOKEN: string; PORT: number; } Step 2: Create a Config Loader Write a function to load and validate environment variables. This loader ensures that each variable is present and meets the expected type or format. Step 3: Export the Configuration Use the config loader to create a centralized configuration object that can be imported throughout your project. import { loadConfig } from "./loader"; export const config = loadConfig(); Conclusion Transitioning to validated environment variables is a straightforward yet powerful step toward building more reliable and secure applications. By validating variables during startup, you can catch misconfigurations early, save hours of debugging, and ensure your application is always running with the correct settings.