Harness announced that it is leveling up its software delivery pipeline with new test intelligence, feature flags and cloud autostopping capabilities. Harness’s new test intelligence feature reduces test cycle time by up to 98% by using AI/ML workflows to prioritize and optimize test execution without compromising quality. The new capabilities shift failed tests earlier into … continue reading
This week’s featured open-source project is Lumos, a Python library built to compare metrics between two datasets, accounting for population differences and invariant features. Lumos was open sourced this month by Microsoft. In a technical paper that shows the results from a real-world deployment of Lumos in Microsoft RTC applications , the Microsoft team wrote: … continue reading
Software innovation doesn’t happen without taking risks along the way. But risks can be scary for businesses afraid of making mistakes. There is another way, according to Jon Noronha, senior vice president of product at Optimizely, a progressive delivery and experimentation platform provider. Feature experimentation, he said, allows businesses to go to market quicker while … continue reading
LinkedIn is sharing its “Project Every Member” initiative with the open sourcing of spark-inequality-impact, an Apache Spark library that can be used by other organizations in any domain where measuring and reducing inequality, or avoiding unintended inequality consequences may be desirable. “This work is furthering our commitment to closing the network gap and making sure … continue reading
Feature experimentation platforms make feature flagging easier to do and easier to manage, but even the greatest tools don’t contain all the DNA an organization needs to succeed. Without a process in place, developers, product managers, and even salespeople may be able to turn flags on and off at will, which may not be the … continue reading
Feature experimentation platforms can help organizations deliver software faster because they are aware of expected and unexpected feature-related behavior sooner. As organizations continue to accelerate their release cycles, they continue to ship ever smaller amounts of code that should be experimented with, individually. “It’s the next obvious step in continuous delivery [because] continuous delivery is … continue reading
Digital transformation is making companies more software-dependent than they’ve ever been. As analog products become digital and manual processes are superseded by their automated or machine-assisted equivalents, organizations are building more apps at the core and edge to compete more effectively. One way of hedging bets in an organization’s favor is using feature flagging to … continue reading
It’s tax season, which means you might be utilizing some of financial technology provider Intuit’s products this month. Intuit doesn’t just offer tax and financial products; it also offers developers and teams a data-driven, flexible and scalable open-source platform: Wasabi. Wasabi A/B testing service is an API-driven project which lets users own their data while running … continue reading
With top-rated shows like “Orange is the New Black” or “House of Cards,” Netflix needs to have a well-versed integration test team to make sure each of its 80 million users are getting a great experience. With such a fast-paced environment, challenges are sure to come to the surface. Netflix’s product engineering integration test team … continue reading
With more than 1.5 billion monthly active users (MAUs), Facebook has a lot of factors to take into account for each mobile release. If they followed mobile “best practices,” they’d have some pretty significant problems: Deploying to millions of users in one fell swoop (greatly increasing the risk of widespread crashes) Asking users to update … continue reading
Requirements define the things we want our applications to do, but before they are requirements, Microsoft’s agile “guru” Sam Guckenheimer said, they start as a belief. “Everything is a hypothesis,” he said. “The hypothesis has to be turned into an experiment, substantiated or diminished with data. Then, you either do more or do something else. … continue reading
New firms make A/B testing into a SaaS offering, keep developers focused on code, not making better choices … continue reading
