Testing in Production at LinkedIn
If you cannot ship to production with confidence, write tests until you can! This video will help you design a testing strategy for your products. Keep writing great tests!
integration testing
How To Perform Exhaustive Testing
Exhaustive testing is a type of software testing approach where all the behaviors of a system are explored during the tests. If this approach is good in theory, it is not feasible in most testing contexts where time and resources are limited. This article presents the distinguishing characteristics of exhaustive testing and explain how to perform it.
Integration Testing a Cloud Native Application with JavaScript
This talk will take you through the challenge of testing a cloud-native application that uses MQTT (a pub/sub protocol), webhooks and REST to interact with IoT devices on top of AWS. It uses services which cannot be run on a developers machine for testing, so it was needed to develop a test setup which enables us to continuously test against real services.
Integration & End-to-End Testing with TestContainers and JUnit 5
The TestContainers library facilitates simple start up of a service dependencies, i.e. Postgres, Redis in throwaway Docker containers. This open source library works over Docker API and has a list of features which significantly improve a software developer experience.
Safe Software Testing in Production
Performing software testing in production is not a taboo anymore in our era of cloud computing and DevOps. This article discusses different types and approaches to do software testing in production and associated contexts, during which one or another kind of functional testing is useful. Also, we will describe in detail about the effective organization of the safe testing of various services in production.
Automatic Testing of a Heavily Integrated Software
Running more than 5000 automated system tests on a deployed application with outgoing connections to about 25 other systems, each with their own dependencies, where test data is complex and needs to be in-sync, is a great challenge. Doing it every night, year after year, with the requirement to fail only on the event of actual errors in the application under test, is a nightmare.
Software Testing in a Non-Deterministic World
Most of the time, software testing is based on comparing the actual behavior of a code or a system with its expected behavior. In his article “The Challenges of Testing in a Non-Deterministic World”, Donald Firesmith explains however that not all software and systems are deterministic, for instance an autonomous adaptive vehicle that uses machine learning software, and that software testing needs to adapt to this context.