Testing in Production



All you need to know about Testing in Production

app testing tool, Testing in Production


Testing software is necessary to prevent code errors and design errors from reaching the production code. Running codes on production servers using data of real-life users is called testing in production. Testing in production environment in the final stages of software development before releasing it to the public is essential. Most organizations these days are going for testing in production and even make it a point to plan for it. Simulating a live testing environment may be very difficult. Especially for companies that release new features and additions to their applications, testing in production using an app testing platform or an app testing tool can be helpful.     

What is testing in production?

As an essential software development practice, testing in production(also known as TIP) is the process that tests new changes on the live traffic of users. Instead of doing this in a staged environment, TIP is implemented with real-life people in continuous delivery. Testing in a production environment essentially tests production software. Production software is the version software released to end-users. This testing is not like development software or pre-production software built specifically for testing and isn’t available to the final users.

While quality assurance teams stage environments to sort out any emergent issue as soon in the SDLC as possible, testing in production uses production data directly. This test helps the QA teams to gather a better idea of what to expect when actual audiences interact with the software upon release.

Types of production testing 

There are primarily two kinds of testing in production:

The blue-green deployment

For this, two identical production application instances are created. One of the applications receives user traffic, while the other receives updates from continuous integration (CI) servers. The system which does not receive the traffic becomes the production environment for testing.

Canary testing

This process tests newer features or versions of the same software with a particular percentage of end-users in a production environment using an app testing tool. In this test, only some users can see new features of the same application. Canary tests use feature flags. Features flags or feature toggles allow teams to expose a new software or newer features of the same software to only a select part of the whole traffic of users in production to validate the smoothness of their application in real life. It can help development teams to roll back any changes which get negative feedback.

Testing in production sounds risky and daunting, but using feature flags and controlling rollouts can make shift-right testing seem achievable. Today, it has become common as development teams to work with iterative cycles for rapid delivery.  

The benefits of testing in production 

The advantages of testing in production could be many.  

It ensures accuracy

A real-environment-based software testing platform delivers better user journeys. The data gathered from the test environments are not production data. Working with different kinds of data and expecting error-free software is difficult. Testing with real end-users is the best way to ensure accuracy in your tests. By doing this, testers can cover cases encountered by real-life audiences. Emulating so many users is not only cumbersome but also inorganic. The point is to check the effects of a change on a particular set of users, so getting it checked by them is the best idea.

Immediate rollback is possible

When testing with feature flags, some negative changes may get detected. With this information, the negative changes can be rolled back immediately without changing the base code. Making gradual modifications can save a lot of company money by preventing bad deployments.

Collecting feedback is easy

Testing in a production environment monitors user interaction to measure the success or failure of implemented changes. Collecting feedback from the end-users becomes easy like this.

In-production testing saves resources

Building and maintaining a synthetic environment just for testing can be expensive. So, testing without using emulators already saves up some resources. The other reason behind monetary savings is that developers don’t have to spend time-solving integration issues of the features which have already been tested in previous rounds.

Makes space for unpredictability

Testing in production requires real-life end-users. Sometimes, actual users can be unpredictable. There can be multiple idiosyncratic scenarios; tests cannot be written for them all. These things can, however, be tested during production.

Disadvantages of testing in production

Certain things which can potentially go wrong with testing in production are:

  • The distribution is narrower than expected
  • A distribution that is wider than expected
  • Unpredictable interactions and impacts on the other production systems
  • On-call alerts to people.

Can production tests replace other kinds of testing?

In-production testing cannot be a substitute for other quality assurance processes. It cannot work as a shortcut to eliminate unit testing, integration testing, performance tests, or other kinds of testing. Instead, it is an added support to these to ensure that the user journey is not compromised.

While it is true that having real users test your software is the best thing to ensure user-friendliness, the staging environments are equally important too.


QA teams have engineered ways to catch bugs in the different stages of software development. However, building unit tests and automated testing systems can go only so far by simulating the production environment and user flow with user data derived from mock test case data. Catching every single issue is not possible through just staged tests. What happens with such user data is that it only exposes bugs while sometimes overlooking important usability cases. As a result, the end-user may get a sub-par experience despite the time and resources spent on testing. Hence, is why production testing with real-life users is a good idea.