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 Common Information Model (CIM) Defined
Learn
6 Minute Read

The Common Information Model (CIM) Defined

CIM is a standard approach to represent & describe diverse system components. Read on to learn all about CIM, core concepts, and the benefits it brings to organizations.
Data Fabric Architecture: Benefits, Best Practices & Trends
Learn
7 Minute Read

Data Fabric Architecture: Benefits, Best Practices & Trends

Data architecture is a Big Topic for many today. Learn about the data fabric architecture, get started on your own, and consider trends that impact how we treat our data.
IT Infrastructure Defined
Learn
6 Minute Read

IT Infrastructure Defined

Let's answer the question "What exactly is IT infrastructure?" We'll drill down on the different types and categories of IT infrastructure, how to manage it, as well as what the future holds.
Data Security Today: Threats, Techniques & Solutions
Learn
7 Minute Read

Data Security Today: Threats, Techniques & Solutions

Data security is more important than ever. With organizations relying heavily on technology for their sensitive information, the risk of data breaches is constantly rising.
Data Governance: Definitions, Components, & Best Practices
Learn
5 Minute Read

Data Governance: Definitions, Components, & Best Practices

Discover the importance of data governance in a data-driven world. Learn key components, benefits, and best practices for secure, high-quality data.
Data Loss Prevention (DLP): Definition, Components & Types
Learn
6 Minute Read

Data Loss Prevention (DLP): Definition, Components & Types

Explore Data Loss Prevention (DLP), a vital security solution for safeguarding sensitive information, compliance, and minimizing data breach risks.
SLA vs. SLI vs. SLO: Understanding Service Levels
Learn
6 Minute Read

SLA vs. SLI vs. SLO: Understanding Service Levels

Discover the key differences between SLAs, SLOs, and SLIs in service-driven businesses. Learn best practices and overcome challenges in implementing these crucial metrics.
What is Cloud Security? Types, Risks & Benefits Defined
Learn
8 Minute Read

What is Cloud Security? Types, Risks & Benefits Defined

Explore the world of cloud security! Learn about types, benefits, risks, and a 6-step framework for robust protection. Stay secure in the cloud.
Incident Management: The Complete Guide
Learn
6 Minute Read

Incident Management: The Complete Guide

Boost cybersecurity with effective incident management. Learn steps, benefits & best practices. Strengthen resilience & protect operations.