What are the best ways to test serverless architectures?

3 End-to-end testing

End-to-end testing is the practice of testing the entire functionality and user experience of your application, from the front-end to the back-end, and from the user's perspective. End-to-end testing is crucial for serverless architectures, as it allows you to validate the business value and usability of your application, as well as the compliance and resilience of your serverless infrastructure. You can use tools such as Cypress, Selenium, or Puppeteer to create and run end-to-end tests, either locally or in the cloud. End-to-end testing can also help you verify and improve your performance, availability, and scalability, as well as ensure your customer satisfaction and retention.

4 Code analysis

Code analysis is the practice of examining and evaluating your code quality, style, and complexity, using static or dynamic tools and techniques. Code analysis is beneficial for serverless architectures, as it allows you to improve your code readability, maintainability, and security, as well as adhere to best practices and standards. You can use tools such as ESLint, SonarQube, or Snyk to perform code analysis, either locally or in a CI/CD pipeline. Code analysis can also help you reduce your technical debt and code smells, as well as prevent or fix any vulnerabilities or bugs in your code.

5 Load testing

Load testing is the practice of testing how your application performs under different levels of load, stress, or concurrency, using simulated or real users and requests. Load testing is essential for serverless architectures, as it allows you to measure and optimize your application's throughput, response time, and resource utilization, as well as identify and resolve any bottlenecks or limitations. You can use tools such as Artillery, Gatling, or AWS Lambda Load Tester to create and run load tests, either locally or in the cloud. Load testing can also help you estimate and plan your capacity and costs, as well as ensure your application's reliability and scalability.

6 Monitoring and logging

Monitoring and logging are the practices of collecting, analyzing, and displaying data and metrics about your application's performance, behavior, and health, using tools and platforms that can provide real-time visibility and alerts. Monitoring and logging are vital for serverless architectures, as they allow you to track and troubleshoot your application's functionality and availability, as well as diagnose and resolve any errors or issues. You can use tools such as AWS CloudWatch, Datadog, or Serverless Dashboard to monitor and log your serverless functions, either locally or in the cloud. Monitoring and logging can also help you improve your application's quality and efficiency, as well as gain insights and feedback from your users.

7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?