“AIOps” stands for “artificial intelligence in IT operations,” or using machine learning and data science to solve IT problems. AI can help with many IT functions, including detecting and remediating outages, monitoring availability and performance, and IT service management. Like with DevOps, a tester plays an important part with AIOps—they just have to determine what that is.
Continuous operation tests find important bugs, partly as a result of their long operation and partly by increasing the probability of finding statistical bugs. However, CO tests have their own downsides. Mandating a periodic reset or reboot can work around these issues, as well as save time and cost for testing, reproduction, debugging, and fix verification.
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.
DevOps is the key to unifying technology with business results. Customers abandon apps and sites if their expectations are not met almost instantly, so issues must be resolved earlier in the pipeline before end-users are impacted. This article highlights the need for adopting a DevOps culture and some best practices for doing so.
It is Johanna Rothman's belief that security and performance are no longer nonfunctional requirements in modern-day software development. Instead, we must prepare to accommodate security and performance needs in all projects.
Melissa Benua, director of engineering at mParticle, chats with TechWell community manager Owen Gotimer about the importance of whole team quality, how to get started using the test pyramid, and how developers can start writing testable code.
In this interview, Adam Auerbach, vice president and cohead of the DevTestSecOps practice at EPAM Systems, discusses the book The Kitty Hawk Venture, his experiences at STARWEST, and the topics of performance testing and value stream analysis.
In this interview, Anj Dubey, director of performance engineering for McGraw-Hill Education, discusses the need to shift left and embed your performance engineering into your CI/CD pipeline in order to ensure that every line of code is going to meet your performance requirements.
In this interview, Andreas Grabner of Dynatrace explains why you need to pay attention to your users' needs when you're doing your performance testing. He shares his performance testing approaches and explores the top problem patterns that you can learn to spot in your apps.
Containerizing applications introduces major changes to the way we run those applications. We can now share infrastructure and resources, but this introduces the need to control the way resources are used—from a sanity perspective first and a financial objective second.
Join Gene Gotimer as he showcases open source tools like JMeter and Gatling to measure different types of performance testing. He'll also discuss how Firefox and Chrome can show what the user experience is like in terms of performance.
Once upon a time, in a land far away, application performance was a differentiator in the market. But in today's competitive landscape, having a highly responsive and scalable application is a basic expectation. Performance no longer lives on the fringe of the quality world.
Nonfunctional tests like performance tests are often left until the end of the delivery cycle because they can be expensive in terms of time, resources, and effort. However, performance issues can be difficult to resolve when found late in the software development lifecycle. Apache JMeter is an open source tool designed to load test functional behavior and measure performance. JMeter can be used to develop, manage, and execute load and performance tests while the code is being developed, rather than waiting to do performance testing until just before release. By using it early in your delivery pipeline, you can find and resolve performance issues as soon as they are introduced. Join Bob Foster as he shows how to use JMeter, design test scenarios, parameterize and seed tests, and execute those tests within Jenkins as part of a CI/CD pipeline.