Api Monitoring Metrics, Tips & Best Practices

APIs provide critical pathways for software components to communicate, an essential service as software becomes increasingly interconnected and complex. But the reality for testers is that APIs are yet another multiplier of the time, effort, and complexity needed to maintain quality.

Response time is a tricky metric to measure with third-party APIs because the recording latency may be an aggregation of both problematic slow endpoints and the network itself. The best approach to monitoring the latency is to use an API monitoring tool that can separately report the network latency and the API response time. Software that lets you monitor APIs can detect and alert on errors, warnings, and failed API authentications to ensure secure data exchange. API methods, if not implemented correctly, also allow third parties to compromise the application. You should, therefore, test all methods to ensure they do not provide a loophole for compromise when making an API call. Treating the API like it is in the consumer environment also gives a clue on performance issues that the development team needs to resolve before moving forward.

Best Practices For Successful Api Test Automation Using Postman

In this guide, we explore industry best practices for API monitoring, including which metrics to prioritize and how to debug when problems arise. Once you develop a suite of functional tests and security tests, you’ll need to execute them on a regular basis. Daily API testing on production is ideal — better yet, multiple times per day or even continuously. Consider creating a critical test suite for items that require continuous testing, and leave the rest on a daily schedule. API automation testing tools can help errors that manual testing can cause. Apart from the accuracy, automation enables scaling capabilities to handle several test cases.

Hence, Setting up a testing environment for API automation testing seems a little complex. In order to successfully run API tests, it is recommended to uphold the same principles for testing as you would do for any software development. The longer a software bug exists throughout the product life-cycle, the more it costs. If the bug is caught during the development process, it costs next to nothing to get it fixed as part of the implementation. This comprehensive guide to API testing touches on aspects like getting started, functional testing, and mapping and execution. II. Check whether data is stored correctly for future use when calling a setter method. I. Check whether calculation A is performed correctly when calling operation or method B with parameters X, Y, and Z.

best practices for api testing

For successfully performing API Testing, you require a tool to structure and manage your test cases. You will also require full traceability of requirements and effective API documentation. Automate the API documentation creation process and ensure a good level of documentation is there which is easy to understand. Results of non-functional tests such as performance, security, etc. This testing is usually performed for software systems that have multiple APIs. As you are done setting up an API testing environment, make an API call to ensure nothing is broken before you go forward to start thorough testing.


Many organizations trade off the long-term benefits of a truly REST API for HTTP APIs that have similar benefits but adhere to REST constraints more liberally. An API is a set of functions or procedures that governs the access points for a given system, service, or application. Currently, the two main competing approaches offering extensibility to APIs for creating web services are Simple Object Access Protocol and Representational State Transfer . GraphQL has become a popular alternative to REST in the past few years for specific use cases. This webinar takes you through the best practices of API test automation for ensuring continuous business connectivity involving REST & SOAP APIs. It also explains how to perform right API testing to deliver high-quality digital experiences and reduce enterprise-wide integration issues. It is vital to track API responses because they provide a benchmark of how it worked during a particular build at the time of testing.

best practices for api testing

This reduces the time required to track bugs between builds, integrations, and even different team-members. The small, isolated footprint of an API test is perfect for faster MTTR stats, a valuable KPI for DevOps teams.

Odata And Rest Apis: A Comparison

REST APIs are high-performing , time-tested, and support many data formats. REST APIs also decouple the client and server, ensuring independent evolution. However, building a true REST API is difficult because it requires a disciplined adherence to the Uniform Interface constraint.

best practices for api testing

APIs are also helpful in controlling hardware devices and software functions that an application may not necessarily have permission to use. Compliance Testing checks to make sure APIs conform to web services standards for addresses, discovery, federation, policy, security, and trust. Positive testVerify that the API receives input and returns the expected output as specified in the requirement. This method is suitable for a simple response with static contents.

If it breaks or gets compromised, it puts the entire chain of processes built around it at risk. As such, end-to-end API tests should be done after performing comprehensive unit tests covering individual functions.

Types And Standards Of Api Security Testing

Checking the API response code and applying the corresponding debugging method can sometimes fail to resolve API errors. In those cases, check and compare HTTP headers for additional information. Some APIs accept requests that don’t contain Accept for Content-Type information. CI/CD and DevOps movement encourage continuous testing Software configuration management and AUTOMATED testing. You can define a clear API monitoring strategy for every stage of the CI/CD pipeline and routine monitoring at regular time intervals. This cycle will enhance the API performance of your prototype at every stage of your code release process. API availability or uptime is a gold standard in API monitoring.

5 Takeaways from SmartBear’s State of Software Quality Report – The New Stack – thenewstack.io

5 Takeaways from SmartBear’s State of Software Quality Report – The New Stack.

Posted: Mon, 13 Dec 2021 18:10:17 GMT [source]

Remember to include your development and QA teams in this discussion. And, if those colleagues are already familiar with such tools, they’ll be able to discuss a product’s advantages and limitations.

Real Time Cloud Api Defects

Perform testing to check boundary value conditions and acceptance. The first step to begin is to perform a smoke test before proceeding with the functional test of the APIs. I have extensive experience with SOAtest and limited experience with SoapUI and can vouch for their usefulness in API testing.

This is where the different types of functional testing come into the picture. If you’re testing an API, you need to treat it exactly as a consumer would. At times, while writing test suites we focus too much on what we know to be the proper response. To properly examine all our API endpoints, we need to introduce the sort of errors that a user might introduce knowingly or unknowingly.

Almost every REST API requires users to pass some sort of authentication process. Authentication is when a user or any other entity proves their identity during a connection attempt. When testing the API, it is important to simulate the real-world transaction by including the request headers that make up the API call. In the request header, you can specify whether the HTTP request is a GET or POST, and if it requires any form of authentication or data caching during the session. A good testing practice is to perform fewer tests as you get to higher levels. In line with Mike Cohn’s Test Pyramid concept, API tests should be done at the service level .

  • Our most in-depth testing suites are very thorough but do not cover browser compatibility.
  • Parasoft helps organizations continuously deliver quality software with its market-proven, integrated suite of automated software testing tools.
  • Before you release your API to the public, you need to make sure that it’s well-tested and secure.
  • This can be a detailed formal document, or a checklist such as below.
  • In order to perform API testing better, you should first understand the different types of API testing, which we cover below.

APIs provide data that enable those devices to transmit information to the end applications, acting as a data interface. Also, they can allow the end application to control the device and serve as a function interface. APIs are an integral part of the IoT world that integrates Mobile App with Real devices. APIs act as a glue that helps connect devices, products, facilities, assets and other objects with the applications that make use of the data they generate. Group test cases by test category and include any called API declarations. Also document the test parameters and prioritize functions so your test team knows the order to run the tests. Other keys include setting up self-contained, dependency-independent test cases, and develop test cases for all possible API input combinations.

API defines requests that can be made, how to make requests, data formats that can be used, etc. between two software systems. Continuously testing API endpoints to ensure availability — monitoring API endpoints help you to identify outages or performance issues quickly. When you integrate applications that depend on APIs for data or messaging, you need an API testing strategy.

Qa Services

Finally, we DELETE that resource and use GET again to verify it no longer exists. Happy path tests check basic functionality and the acceptance criteria of the API. We later extend positive tests to include optional api testing best practices parameters and extra functionality. The next group of tests is negative testing where we expect the application to gracefully handle problem scenarios with both valid user input and invalid user input .