The idea of applying artificial intelligence and machine learning to more rapidly and accurately resolve IT incidents and manage alerts has been gaining steam in the past year. While AIOps, as it’s frequently called, has spawned an entirely new market of startups, many enterprise IT leaders are playing a cautious hand so far – and for good reason. There are risks, though. If an AIOps tool goes wrong out of the gates, IT and executive trust diminishes.

When developing software applications, we want to make sure the application does what the software requirements say it’s supposed to do, and testing proves that it does. In this article, I’ll explore how to link requirements to test cases, and I’ll explain what a requirement traceability matrix is and how to build a simple one.

When I’m writing new software, one of the most important thoughts in my mind is how I’ll test to make sure it works. There are lots of ways to test software, and when you’re at your best, you should be using all of them. Sure, you should make sure that your QA team is able to verify that your code works before it goes live. You should make sure that the code passes acceptance tests, too.

For a comparatively better user experience and more quality online traffic, all that’s required is a fast and lightweight website. The contribution of a lightweight and superfast website, towards comparatively better user experience and engaging online traffic, cannot be ignored. One of the most important aspects that has always kept the user hooked, engaged, has converted, ensuring optimal performance and reliability of the website is - load testing.

Almost every business today runs online. The internet is one of the easiest avenues for businesses to reach users, and websites are a great way to impress your customers. So, when you’re building a web application for your business, it’s important that you make it the best version it can be. To make sure that your web application is good enough to impress customers and avoid any negative impact, you have to test your application and fix any issues.

Enterprise teams face unique challenges when it comes to software development. Managing more developers means managing more code, more projects, more logistics… the list goes on. Many technical enterprise teams have adopted a DevOps strategy to help bridge the gap between code development and operations. When developers work in tandem with system architects to break down silos, it can have an incredible effect on the organization’s productivity and culture.

Synthetic monitoring takes care of all of the small interactions on our website that QA can’t catch. If you’re building an application for the web, a transaction check is an integral part of proactive downtime resolution. What we call transaction monitoring, or a transaction check, is a set of instructions that a probe server follows.

What do a test engineer and a DevOps or SRE team member have in common? The reality is that different teams need to proactively understand what is happening in production at critical milestones along the software engineering delivery cycle. In the words of Abby Bangser, senior test engineer at Moo, “Testing has so much in common with Ops and SRE teams. We need to ask interesting questions of production. We need no more debates whether a bug gets fixed.

In today’s post, we’ll look at system tests in Rails 6. System tests are meant to auto-test the way users interact with your application, including the Javascript in your user interface. Minitest, being the default testing framework in Rails, is a great match for system testing. With all the configuration that Rails handles for us, there are just a few steps needed before we have our first tests up and running.