From Good to Great: Elevate Testing with Cypress Contract Tests

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Discover the power of Cypress Contract Tests, a cutting-edge approach that takes your testing to new heights. In this presentation, we'll explore the concept of contract testing and how it ensures seamless communication between microservices. Then, we'll delve into the game-changing capabilities of Cypress, showcasing its unmatched potential to elevate your testing practices from good to great. Join us for insights, best practices, and real-world examples on how to integrate Cypress Contract Tests into your existing workflows, and revolutionize your testing strategy.

Petros Plakogiannis
Petros Plakogiannis
19 min
11 Dec, 2023

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Video Summary and Transcription

This Talk discusses the challenges of testing multiple services in a microservices architecture and introduces the use of Cypress and Pact to address these challenges. It explains how to use Cypress to write a contract and generate and share it with the provider. The verification process and CI workflow for the consumer and provider are also discussed. The Talk emphasizes the importance of contract testing to ensure seamless communication between microservices.

Available in Español

1. Introduction to Cypress and Kotra Test

Short description:

Hello, welcome to my presentation from good to great LWA testing with Cypress, Kotra Test. I'm Petros Plakogiannis, testing leader and test automation engineer at RAS Greece. Let's start with a simple REST API example. Microservices are large server projects that are broken down into smaller modules or components. The true challenge is to test all these services together under a specific testing environment as a traditional API testing. Different teams can deploy changes to different services at the same time, so the environment should have proper configuration and correct test data.

Hello, welcome to my presentation from good to great LWA testing with Cypress, Kotra Test. First of all, it's my honor to be part of TestJS Summit 2023, so thank you for the invitation. I'm Petros Plakogiannis, I have 15 years experience over testing. I am testing leader and test automation engineer at RAS Greece.

I have only 20 minutes, so I will try to give you as much as details I can for Cypress, Kotra Test. But first things first, why Kotra Test and what is Kotra Test? Let's start with a simple REST API example. On the left we have a web client that makes a call to the REST API in order to get some data. The REST API is the data provider, grabs data from the database and sends them back to the client. From a testing perspective, we can create API declaration tests and run them against a testing environment in order to verify that the client gets the correct data from the provider, from the API.

But can we apply this in microservices? Microservices are large server projects that are broken down into smaller modules or components. Different teams develop and maintain different services, and each service has its own database, its own code base, etc. The true challenge is to test all these services together under a specific testing environment as a traditional API testing. But can we do this? Think about it. Different teams can deploy changes to different services at the same time, or think that a service may be down because of server issues, of environment issues. So in order to test all these services under a specific environment, this environment should have proper configuration and correct test data. So it's not so easy.

2. Challenges of Testing Multiple Services

Short description:

If you have a hundred or thousand services, can you ensure that changing something in one service will not affect the others? The challenges arise when dealing with multiple services. Unit tests only validate internal logic and cannot guarantee real-world scenarios. Coda testing is a methodology for ensuring proper communication between services. It captures interactions and stores them in a contract, which is used to verify the services. Consumer and provider contracts specify expectations and capabilities. Contract testing involves writing tests, talking with a mock provider, recording expectations in the contract, and uploading it to the broker for the provider to fulfill.

Okay, if you have only two services, maybe you can do it. But what about if you have a hundred or thousand services like Amazon or Netflix? Can you ensure that if you change something in one service, you will not affect the other services? So the challenges are here.

And of course, we cannot use unit tests. Unit tests validate only the internal logic of the services. Think about how we can test a smoke detector. If we press the alarm button, we can hear the alarm sound. This is a unit test. But this alone doesn't guarantee that the smoke detector, the alarm, will be activated in the presence of actual smoke. And of course, we cannot set the house on fire to verify this. So what can we do?

Let's go back to our example. We can use a smoke producer to verify that the contact between the smoke detector and the condition designed to detect the smoke is upheld. While you are reading the definition of coda testing by Ian Robinson, the author of the resting practice book and the principal architect in Amazon Web Services, I will let you know that coda testing is a methodology for ensuring that two services can communicate properly and it captures the interactions that are exchanged between these two services and stores them in the contract. This contract can be used in order to verify these two services. Let's see the terminology. Consumer. Consumer is a service that consumes data from a provider. Provider is a service that provides data to a consumer. Consumer contract is a collection of interactions which describe how the consumer expects the provider to behave. Provider contract specifies the capability of the provider. It is like an OpenAPI document. A packed broker is a storage place. We store the contracts. We store the packed. How does contract testing work? So the consumer writes a test based on what it expects the provider to do. It talks with a mock provider, not a real provider. It talks with a mock provider created by a packed. We'll see later how. The test expectations are recorded in the contract. And the contract is uploaded by the consumer to the packed broker. The provider gets the contract from the packed broker and does what the consumer requested according to the contract.

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