Is automated testing worth the expense? Real test practitioners will show how test automation solved many of their quality issues when the Automated Software Testing and Quality one-day virtual event returns on May 16. Produced by software testing company Parasoft, among the topics to be discussed are metrics, how automation can significantly cut test time, … continue reading
With so much data flowing through modern organizations, verifying that the information on file is correct has become increasingly more difficult. If a company fails to verify the names, addresses, email addresses, and phone numbers of their users, the overall experience of end users will decline, and the company can end up putting itself at … continue reading
There are people who believe that software development is pure art. And there are people who believe that it is basically manufacturing. The reality, of course, is that it’s somewhere in the middle. Because of that, before you can even begin to measure how your team is performing, it’s critically important to understand your organization’s … continue reading
Cultivating a loyal customer base by providing innovative solutions and an exceptional experience should be the goal of any company, regardless of industry. This is one of the main reasons why Capital One uses Python to power a large number of serverless applications, giving developers a better experience as they deliver business value to customers. … continue reading
Test environments can be a frustrating bottleneck to the testing process and the software development life cycle as a whole. Whether it be unavailable services, devices, or ever-elusive test data, ensuring the right environment for testing creates potential for barriers to shifting left at speed, and cutting corners can put application quality and your business … continue reading
Struggling with Agile and DevOps implementations? Wondering what the best practices for success are? Join Atlassian on Feb. 9 for a live (in Berlin, Germany) and virtual event called Unleash, at which the company’s customers will describe how they achieved greater efficiency and faster time to software delivery. According the Megan Cook, head of product, … continue reading
DevOps is dead! Long live platform engineering! Here we go again: another technology hype cycle hailing The New Big Thing, and how The Old Big Thing is dead. But as someone who still believes in DevOps (despite observing many sub-optimal initiatives) and as someone who really does believe in modern platform engineering, I’d like to … continue reading
Today’s global markets are rapidly evolving, with continual shifts in customer needs and preferences across both B2B and B2C industries. It’s becoming increasingly difficult to deliver innovative, high-quality product experiences that retain customers — which ultimately limits the ability for companies to remain competitive. Many companies focus on quickly launching features to attract new customers, … continue reading
DevOps and quality engineering enable better development practices and improve business resiliency, but many teams struggle to sustain this transformation outside of an initial proof of concept. One of the key challenges with scaling DevOps and quality engineering is determining how software testing fits into an overall business strategy. By leveraging automated testing tools that … continue reading
The complexity of modern cloud-native applications, which often leverage microservices, containers, APIs, infrastructure-as-code and more to enable speed in app development and deployment, can create security headaches for organizations that fail to put practices in place to mitigate vulnerabilities. With dependencies on databases and third-party APIs, and sensitive information and secrets such as certificates and … continue reading
Data parsing is the process of converting data from one format to another with the intention of simplifying it and making it more comprehendible. Parsing is a technical capability that, according to Gartner analyst Jason Medd, can be broken down into three categories in the context of data management. The first is data set level … continue reading
It is a well-established fact in software delivery that the earlier in the life cycle you can find and fix an issue, the less costly it is to remediate. In the world of data, inaccurate inputs can cost a company not only time to repair, but it can mean lost revenue due to the inability … continue reading
In an era of constant innovation, there is an increasing need for continuous iteration, which leads to a more complex model development lifecycle. Keeping track of all the inputs and outputs including features, metrics and artifacts for each model version can be difficult and, at times, tedious. In pursuit of simplifying this process, Capital One … continue reading
To secure the software in your supply chain, there’s a lot of hype today about the need for an SBOM (software bill of materials). But what does that really mean for development teams today? BOMs have been used for years by organizations; they are a list of the raw materials, sub-assemblies, intermediate assemblies, sub-components, parts, … continue reading