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

What is Data Masking?
Learn
5 Minute Read

What is Data Masking?

Masking data is an important step in data security and data privacy. Learn when and why to mask data, and then learn how to do it. Get the complete story here.
The AI Engineer Role in 2026: What Do AI Engineers Do?
Learn
6 Minute Read

The AI Engineer Role in 2026: What Do AI Engineers Do?

Learn all about the role of AI Engineer, including the skills, tools, and learning paths you need to become an AI Engineer.
What are SaaS, PaaS, & IaaS?
Learn
9 Minute Read

What are SaaS, PaaS, & IaaS?

Yes, the cloud makes work better. But which cloud model is right for you? Understand how SaaS, PaaS, and IaaS works in this ultimate guide.
What Is Risk Scoring? How To Score Risk
Learn
6 Minute Read

What Is Risk Scoring? How To Score Risk

Risk scoring is one important way to proactively identify and evaluate new threats. Get the full story on how to score your organizational risk.
Call Center Analytics & Metrics for Success
Learn
6 Minute Read

Call Center Analytics & Metrics for Success

The call center can tell you a LOT about the experience of your customers. Know exactly what metrics & data to track to improve your call center operations.
Call Center Optimization: The Complete Guide
Learn
7 Minute Read

Call Center Optimization: The Complete Guide

Call centers are the #1 place to satisfy your customers. Are your call centers doing enough? Learn how to make your call centers, and your agents, the best.
Splunk Podcasts
Learn
2 Minute Read

Splunk Podcasts

Wondering if Splunk has any podcasts? The answer is YES! In this article, you can see all the podcasts that Splunk has published over the years.
Query Languages: A Simple Introduction
Learn
6 Minute Read

Query Languages: A Simple Introduction

Query languages are what make your database so powerful. Get to know the types of and most common query languages, and all the ways you can use them.
Robotic Process Automation: RPA Today
Learn
5 Minute Read

Robotic Process Automation: RPA Today

A transformative technology, RPA automates business processes that are structured and rules-based. But RPA is not AI. Get the full RPA story here.