API Testing vs Monitoring: What's The Difference?

We’ve already outlined why API performance matters and what aspects of APIs to test, but what is the difference between API testing and monitoring?

As with most things, context matters. The use cases for testing and monitoring are different because the objectives are different. The ultimate goal is to verify that your APIs are functioning properly, but staging environments vary significantly from production environments.

Why API Testing

Identifying a performance or functional problem in production is less than ideal. Testing should be integrated throughout the dev process because testing for code defects in pre-production helps minimize risk, thereby saving you time and money.

In pre-production, you want more flexibility because the use case of what you are trying to accomplish is different than it is in production. For instance, you don’t need to know if an API is stable and reliable. Rather, you need to know that you didn’t create a defect or slow down a workflow with a new update. Testing seeks to validate that performance and functionality haven’t been impacted by updates.

With API testing you want to:

The value of testing lies in identifying the deltas that occur once changes to the environment are introduced. As a result, tests should be run around these changes, but don’t need to be ongoing.

Why API Monitoring

Testing in pre-production, however, doesn’t negate the need to monitor production or live API performance on an ongoing basis. Performance monitoring verifies that APIs are functional, secure, and fast. This is especially critical to both identify and troubleshoot outages and errors in production environments that are often erratic.

API monitoring helps you do a few important things such as:

API Monitoring can help pinpoint failure

While API monitoring solutions could be used for testing, they aren’t fit for purpose. Pre-production environments are more controlled than production environments and failures likely won’t result in lost income. And, aspects of these products that are beneficial in production monitoring can actually be a hindrance in pre-production.

Testing and Monitoring Together

Both performance testing and monitoring are essential to approaching performance in a holistic way. You likely already leverage some form of functional testing, but if an aspect of your digital user experience–including your APIs–isn’t fast then we argue that they aren’t functional. For instance, if a critical API flow goes from taking half a second to complete to taking ten seconds, the API isn’t delivering a good user experience, even if it is technically functional. Finding that out in pre-production is ideal, so it can be addressed.

API testing and monitoring go hand-in-hand and comprise a comprehensive approach to delivering the best possible user experience. Performance testing seeks to increase the speed, transparency, and confidence by which you deliver user experiences. Monitoring helps ensure that those user experiences stay fast and reliable.

Related Articles

The API Testing Guide: Top Tools for Testing APIs
Learn
8 Minute Read

The API Testing Guide: Top Tools for Testing APIs

API testing is incredibly important today. In this comprehensive article, learn how to do API testing the right way, and find out which tools are most popular.
What Is DevX/DevEx? Developer Experience, Explained
Learn
7 Minute Read

What Is DevX/DevEx? Developer Experience, Explained

Any software company relies on the work of its developers. Make sure your developers are having the best experience possible: learn all about DevEx here.
What Are IT Services? Defining, Designing, Delivering, & Supporting IT Services
Learn
5 Minute Read

What Are IT Services? Defining, Designing, Delivering, & Supporting IT Services

IT services practically run the world today. What are IT services, and how do you design, deliver, and support them? IT consultant Joseph Ndihiu explains how.
Introduction to Shadow AI
Learn
4 Minute Read

Introduction to Shadow AI

Discover the risks and benefits of Shadow AI—unauthorized generative AI tools enhancing workplace productivity but challenging data security and IT governance.
Big Data Analytics, Explained
Learn
9 Minute Read

Big Data Analytics, Explained

Unlock insights from vast datasets with big data analytics. Explore real-life applications, tools, techniques, benefits, and challenges in this comprehensive guide.
Mean Time Between Failure (MTBF): What It Means & Why It’s Important
Learn
4 Minute Read

Mean Time Between Failure (MTBF): What It Means & Why It’s Important

Learn about Mean Time Between Failures (MTBF), a key metric for system reliability, maintenance planning, and optimizing uptime in today's tech-driven world.
DevOps Monitoring: What It Is & How It Works
Learn
9 Minute Read

DevOps Monitoring: What It Is & How It Works

DevOps monitoring involves tracking and measuring app performance to help you identify and resolve issues faster. Learn how it works here.
What's MTTR? Mean Time to Repair: Definitions, Tips, & Challenges
Learn
10 Minute Read

What's MTTR? Mean Time to Repair: Definitions, Tips, & Challenges

MTTR refers to the amount of time it takes to repair or recover from an issue or failure. Learn more about what it is and how to track it.
Augmented vs. Virtual Reality: Comparing AR/VR
Learn
11 Minute Read

Augmented vs. Virtual Reality: Comparing AR/VR

In this article, we'll explore augmented reality and virtual reality, what makes them unique, and how each can be applied in different industries.