Testing in Production | Why and How?

In a nutshell: Production testing involves validating an application’s actual behavior in its live environment, with real users and data. It is essential for ensuring the reliability of critical user flows under all circumstances, quickly fixing bugs, increasing the deployment cadence, and monitoring performance in the face of unforeseen events. This guide explains why and how to test in production, and how an automated testing tool simplifies this monitoring.

Production tests are a crucial stage in the software development process, as they enable Quality Assurance (QA) engineers to examine real user behavior in the production phase.

In this article, we will discuss the types and benefits of production testing, as well as best practices for conducting your production monitoring and the metrics that indicate successful production tests.

Why Test in Production?

The primary objective of production testing (or Sanity checks) is to detect defects and issues that can only be identified at this stage and within this context of the software development lifecycle.

These bugs and issues may not be apparent during development or staging. The production environment accurately reflects the real-world conditions under which your software will be utilized.

Here are a few reasons to perform “sanity checks” in a production environment:

Ensuring the proper functioning of key customer journeys under all circumstances

Even if you replicate production in a staging environment, certain elements may have inaccurate data or slightly different configuration options.

Production tests enable understanding your software's performance in a real environment to ensure the proper functioning of key customer journeys.

The QA team can also test the overall stability of the user experience and ensure everything functions as expected under load.

Resolve bugs quickly in production

Production tests enable real-time bug identification and the direct implementation of security measures and patches. Often, without this verification, clients directly report anomalies, which directly impacts your brand image.

Increase feature deployment capability

The ability to frequently release new code or features during production testing enhances your team's agility, as the team can respond quickly to requests and deploy necessary modifications. It is common to observe that the more frequently a development team deploys new features into production, the more efficient and productive it becomes. In such cases, more limited releases are deployed, enabling rapid detection of anomalies.

Monitor software performance under unpredictable circumstances

It is impossible to execute all possible user interaction scenarios before product release. Often, the application may also be linked to other solutions such as PSPs (online payment solutions) or other more technical tools related to site performance and deliverability.

Production tests allow developers to monitor application performance under unpredictable circumstances. Production is the only environment where developers can observe unexpected interactions within the application and resolve issues that arise during these interactions.

How to test in production

Choosing the right testing tool is the first step when implementing a testing strategy.

A well-established DevOps process, combined with the right testing tool, can ensure smooth operation at every stage, from development to production.

Streamline your production monitoring with an automated testing tool

Automated testing tools not only perform functional monitoring but also provide additional functionalities, information, and diagnostics, for example:

• Scenario viewer to read your scenario in universally understandable steps. (No code to read)
• Screenshot gallery within the results to visually and quickly verify each stage.
• Customizable dashboards that adapt to your diverse requirements.

Production Tester | Specific Strategies

Monitoring and Diagnostics

The primary objective of monitoring and diagnostics in a production environment is to ensure that the software functions as expected. To achieve this, you can perform the following tests:

Continuous Monitoring

This includes performance tests, such as examining product stability, response time, scalability, and reliability, as well as conducting website speed tests.

Continuous monitoring enables the detection of issues that could degrade software functionalities.

Application Monitoring

It consists of two types: Real User Monitoring (RUM) and Synthetic Monitoring (simulation testing). The former verifies how real users interact with the application server.

It examines how the application's APIs respond to continuous requests sent by automated visitors.

Real-time monitoring

This involves verifying every transaction across each layer within an application. It enables QA engineers to examine the codebase and detect errors, bugs, and slow performance.

Real-time monitoring also provides specific analysis, such as execution stack behavior and problematic threads.

A/B Testing

A/B testing involves releasing two versions of a web application or a new feature with subtle contrasts, for example, different menu interfaces or color schemes. This will divide the user base into several groups.

Next, assign a different variant to each batch to identify the preferred one. These statistical tests help you decide which version to include in future releases.

Incremental Release

This in-production test divides product requirements into several autonomous modules, or phases:

Incremental Phases

Requirements Analysis: Identification of software and system functional requirements.

Design and Development: Creation of functionalities.

Testing: Examining all existing functions using various methods.

Implementation: Finalizing the software coding design.

Incremental Release Models

Staged Delivery Model: Build a portion of the project at a time in phases.

Parallel Development Model: Develop the product simultaneously as long as resources are available. This type can help shorten the development process.

Spike Testing

Spike testing in a production environment allows for evaluating software performance under extreme conditions, such as a sudden increase or decrease in load.

It also determines the time required to recover from challenging circumstances.

Integration Tests

This approach integrates all the various software components, units, and modules, testing them as a single entity.

Typically, a production system comprises multiple modules coded by various programmers, and integration testing aims to identify errors in their interaction when merged. Furthermore, it verifies data communication between these modules.

Feedback Tracking

Once developers have released the software, they begin observing how end-users interact with the product.

When adopting this method, it is crucial to specify the elements on which users should provide feedback to facilitate data categorization.

In Conclusion

Production testing is a crucial complement to a software testing strategy. It enables your development team to understand how the system performs with real users, data, and requests.

Sanity checks in a production environment provide a deeper understanding of the software and enhance its quality throughout the production phase.

At Mr Suricate, we like to think of ourselves as comprehensive insurance. You may be a good driver on the highway, but insurance is there to protect you from the risks posed by other drivers you might encounter or from unexpected problems on the road.

Do you require assistance with automating your functional monitoring?

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FAQ

What is Production Testing?

It involves testing an application directly in its live environment, with real users and data, rather than in pre-production. The objective is to verify actual behavior and detect issues that testing environments fail to reproduce.

Why Test in Production?

Certain issues only manifest under real-world conditions, such as load, actual data, and varied configurations. Production testing continuously secures key user journeys, accelerates bug detection, and enhances deployment reliability.

How to Test in Production Without Risk?

By leveraging an automated testing tool that continuously monitors critical user journeys and provides real-time alerts. This approach combines monitoring, diagnostics, and reproducible scenarios to enable rapid action without disrupting users.

Take it a step further: production monitoring.