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API, or Application Programming Interface, allows different applications to interface with each other. Think of it as a communication system, where messages are exchanged between a sender and a recipient. Information is transferred from the sender and the recipient listens and processes the message and replies.
An API defines the methods and data formats that applications can use to communicate with each other. For example, when you use an app on your phone, or visit a website, it communicates with a server over the internet to retrieve information (like a social media feed). The app uses an API to request this data from the server.
APIs can be used in various ways, such as accessing databases, integrating different software systems, or interacting with web services.
Our History of Performance and Functional API Testing
Performance testing APIs is critical; APIs serve as the backbone of modern software systems, enabling seamless communication between applications, services, and users. Ensuring they can handle expected loads, respond quickly, and remain stable under stress directly impacts user experience, system reliability, and business success. Poorly performing APIs can lead to slow application response times, user frustration, and system failures, especially during peak usage periods like product launches or high-traffic events. By simulating real-world traffic and validating scalability, performance testing helps developers optimize APIs, prevent downtime, and meet service-level agreements. This proactive approach mitigates risks, reduces costs associated with outages, and ensures robust, efficient integration across diverse platforms and devices.
For functional API testing, we implement a robust testing strategy to perform functional testing and ensure that all features and functionalities of your API solution operates as intended.
Performance Testing is used to verify a system’s responsiveness and stability under various workloads; may also include a focus on reliability and scalability.
API design is critical for any application utilizing and API. Responsive API design means API interaction is not delayed or obstructed. The only way to guarantee API functionality can handle high load is through comprehensive API performance testing.
iBeta conducts performance and load testing to assess how your API performs under normal and heavy load conditions. By leveraging performance and automation testing, you can ensure a fast and seamless user experience, reduce bounce rates, and improve conversion rates. We measure:
Functional testing focuses on executing Test Cases seeks to verify that and API feature works as per the software requirements. Each API function is compared tested to the corresponding requirement to verify that its output is consistent with the software requirements design.
iBeta tests your API across different platforms and devices to ensure consistent functionality. API testing services ensure that API functions various devices and platforms with consistent functionality. We verify that regardless of the operating system your API functions well on:
Industry | Interesting Challenges | Useful Results |
---|---|---|
Social Media Technology | Handling massive user registration surges | 500k concurrent users, 1M+ registrations/hour |
Fraud Detection Technology | Scaling past 1500 tps without errors, high CPUs | 1500 tps stable at < 100ms, 20M transactions in 4 hours |
Website API | API collapse under load, pressure vs. volume | 50 users (20 calls/sec) 25k calls in 20 mins, 100 users (40 calls/sec) 13k in 10 mins |
Technology Services | Scaling API to 60k+ users, file upload errors | 60k registrations in 2 mins, 23k files in 5 mins w/o errors |
Education Technology | Scaling beyond 800-2000 users, 500 errors at high load | 800 users pre-upgrade, 1900 users post-upgrade, w/o errors past 2k |
Digital Marketing & Media | Scaling beyond 1000 users, connection errors | 1000 users sustained 1 min+, 41k visits in 6 mins, w/o errors at ~60k/6 mins |
Education Technology | Handling 30k check-ins with large datasets | 30k transactions in 30 mins, stable at 12 hours |
Marketing Automation Software | Handling file download errors at high load; Managing file download bottlenecks; Scaling email batch beyond 5 users | Faster under new architecture, 850 users optimal (1400+ GA transactions/hour, 1800+ downloads/hour); Old Tomcat faster (6s vs. 10s downloads), sustainable at 728 users; 5 users optimal (~100 batches/hour of 10k emails), degrades past 10 |
Map out and identify the pieces of your website that need to be tested and the scope of desktop and mobile browser compatibility coverage.
We work with you to create a custom test approach that meets your testing needs and priorities in a way that fits your budget and timeline.
Tests are run, bugs are found and logged, and results are reported.
Once the tests are done, we lay out the findings in a clear and concise comprehensive report. We don’t just list issues; we suggest fixes. It’s all about turning challenges into triumphs
API testing is essential for ensuring your API meets high standards of quality and functionality through reliable testing services.
Automated testing saves time and is perfect for repetitive tasks. It allows for cost-effective regression test case execution.
For large-scale regression testing or when you need to run the same tests across multiple code versions, automation is your required.
Why iBeta? It’s about the blend of precision, flexibility, and cost-effectiveness.
API testing validates the functionality, reliability, performance, and security of APIs. It ensures that APIs work as expected and can handle various types of requests and data.
There are several tools available for API testing, such as Postman, SoapUI, and JMeter.
1. Postman: Postman offers a comprehensive API testing platform that includes tools for functional, load, and security testing.
www.postman.com
2. SoapUI: SoapUI provides extensive support for functional, regression, and load testing and performance at scale.
www.soapui.org
3. JMeter: JMeter can also be used for both performance and functional API testing.
jmeter.apache.org
Test Cases: We define clear and concise test cases first.
Mocks and Stubs: Were needed, we can develop mocks and stubs to simulate responses from dependent services.
Monitoring and Logging: We implement monitoring and logging to track API performance and functional issues.
To make sure API functionality is compatible with all kinds of devices and operating systems, it must undergo cross-device and cross-application testing. In order to ensure a comprehensive test plan, it is essential that your API’s is tested properly on all types of devices.
Protecting a company’s image and reducing risks, our testing is an important part of ensuring your API performs and functions correctly.
We utilize automated testing to allow for comprehensive coverage of complicated API offerings.
We document and report any issues that are found during testing, either in your bug database or ours. To resolve the challenges, a process of working together with development teams is started. Timely resolution is guaranteed through regular communication.
Strategic advice on testing procedures, resources, and approaches is offered by QA consultants. It maximizes the efficiency and efficacy of API testing services by ensuring alignment with industry best practices and integrating advanced testing tools.
You may trust in our dedication to quality, history of success, and comprehensive testing methods to guide your digital projects to a successful conclusion. Get in touch with us today to learn more about how iBeta can revolutionize the way you think about testing websites and online applications.