Standard web-monitoring tools can ping webpages and verify that they’re responding, but they don’t alert you to an issue. But you can use the technology in load testing to monitor your sites by running an interactive script that can detect issues and generate emails as needed. It runs constantly like a silent sentry, never sleeping or taking a vacation, improving your sites' reliability.
You may feel you don't have time to write unit tests, but you really don't have time not to. Steve Poling makes the case that writing tests first not only will yield better code, but will help you get that code working right sooner. Here's how using a test-first approach changes your thinking about coding, lets you see mistakes immediately, and helps you create more testable code.
Many people equate 100 percent unit test coverage with high code quality, but that is not enough. Code coverage tools only measure whether the tests execute the code; they make no judgment on the effectiveness of the tests. Testers should review unit tests, even if they have high coverage levels, and either help improve the tests or supplement them with extra tests where necessary.
Test coverage is a strategy to help us spend scarce testing time on the right priorities. When things were tested last, how much automation coverage we have, how often the customers use the feature, and how critical the feature is to application are all factors to consider. Here are some ideas for keeping quality high when you're transitioning to continuous delivery.
Testing in production gives more realistic opportunities to test, increases application transparency between the core product team and users, and supports the idea of continuous development through continuous testing. It's a good technique to embrace in your testing process—but it should not be entered into unprepared. Learn the advantages and pitfalls here.
When it comes to testing in DevOps, more than simple regression checking can be automated. By shifting right in the lifecycle and testing in production, you can analyze the undefined, unknown, and unexpected by relying on real traffic and unpredictable test input. With shorter implementation and release cycles, testing and production come closer together.
As more businesses are adopting DevOps and demanding continuous delivery, it's important for testers to constantly upgrade their skills. By leveraging the right resources, including developer and application performance management tools, you can play a bigger and more collaborative role in producing higher-quality output.
Mind maps can encourage a new perspective in your test team and promote collaboration. These maps make it easier for colleagues to grasp your work process, your progress, and your understanding of the project. How do you get started? Here are four steps that will help you implement mind maps successfully in your testing efforts.
Pushing frequent releases of high-quality software to customers is beneficial for everyone. But setting up a continuous delivery pipeline is about more than speed. How do you ensure that things don’t start breaking all over the place? Viktor Clerc shares some real-world methods of accurately measuring quality and building it into the pipeline.
Although it sounds counterintuitive, manual testing still plays a large role in automation. In truth, manual testing will never go away. While automation is all the rage, there are instances when manual testing is preferable over automation. Knowing when to employ one tactic over the other can be helpful in reaching your goals.