An API architecture can be defined as the process of building a software interface that aims at exposing application functionality and backend data to be used by other applications.
It allows organizations to come up with different application ecosystems that are not only reusable but also modular. This is important for microservices to meet their requirements.
That notwithstanding, organizations need to make sure that they have implemented proper testing strategies before the deployment of their API architectures. There are many reasons that could lead to the failure of an API.
When one API has performance issues, it will not only affect just its operations but the entire operations in the organization. This is because it will not be able to communicate and share data with other APIs running the organization.
In addition, it is important for organizations to test their API architectures before deployment. This helps in understanding how the APIs will operate, identifying any performance or security issues early enough, and debugging them accordingly.
When testing an API architecture before deployment, it is important to keep tabs on the following tips;
01. Using a Broken Test Framework
Even though there has been rapid adoption of the API architecture among organizations, there is a large number of them that still use a single framework when testing their API architectures.
This is wrong, and the right approach would be to make sure that the testing frameworks are broken into smaller tests when testing an API architecture before deployment.
Single test frameworks come with huge chunks of code required for testing API architectures. This increases the chances of bugs that will affect any test process. The building blocks of an API architecture require developers to break these frameworks, just like they are able to break monolithic systems into microservices.
02. Adopting a DevOps Tradition
When testing an API architecture before deployment, organizations should be keen on combining the responsibilities of both the architecture operators and developers. This ensures that the architecture is improved continuously depending on the demands of its consumers.
This culture makes it possible for the architecture developers to use testing services from other members of the team to make sure that the quality of their code meets the expected standards. It also helps in ensuring that DevOps security is properly implemented.
03. Scalability Testing
One of the major reasons for adopting the API architecture is the ability to scale different services independent of each other. Scaling one service does not affect the other services coupled into the architecture. However, developers need to ensure that this is regularly tested before deployment.
An API architecture should be regularly tested for volumes of different scales before deployment. To enforce this, developers should get the right tools that are capable of generating different volumes to test the architecture’s scalability.
04. Adopting the Right API Architecture Testing Tools
Developers need to make sure that they are using the right testing tools. This helps in testing the architecture endpoints and allows them to automate the entire process into the continuous integration and delivery pipeline.
It is important to give preference to tools that come with scripting languages mostly used by developers. This is because even though the testing process is automated, the development team needs to be able to write their own tests without having to spend much time learning about a testing framework.
05. Implementing Easy to Use Frameworks
One of the ways developers can make sure that their API architecture works as expected is by having the architecture monitored with logging. This is why they should implement their architectures using easy-to-use frameworks such as the Django framework that comes with its own logger.
The Django logger is well implemented into the framework. It allows developers to understand the behavior of their API architecture even before deployment.
Using Django’s built-in logging module, developers can test their architecture using four different modules; the logger that acts as the point of entry into the logging system, the handler that determines the action taken on each message in the logger, the filter that controls the messages passed to the handler, and formatters that describe the format of a log record.
06. Testing Both Your Code and Contract
Before the deployment of an API architecture, developers should make sure that they have implemented unit testing to validate their code.
These tests can be implemented and executed quickly compared to other tests. They focus on checking how the code is working and are important in building a proper API architecture testing strategy.
In addition to testing the code, developers need to employ functional testing to validate the architecture contract before deployment. This type of testing is important in making sure that the architecture endpoints meet their expectations as defined in the contract.
In conclusion, developers need to ensure that they have implemented the right testing strategies before they can deploy their API architectures.
This plays a very important role in making sure that the APIs meet all set objectives, security vulnerabilities are eliminated, and business operations are not affected in any way after deployment.