Performance testing is a form of software testing that focuses on how a system running the system performs under a particular load. This is not about finding software bugs or defects. Performance testing measures according to benchmarks and standards. Performance testing should give developers the diagnostic information they need to eliminate bottlenecks. To understand how software will perform on users’ systems, there different types of performance tests that can be applied during software testing. This is non-functional testing, which is designed to determine the readiness of a system. (Functional testing focuses on individual functions of software.)

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There is a fundamental flaw in how many people think about digital transformation. First, as we’ve written about extensively at Intellyx, people tend to think about it as a finite corporate project, rather than as a process of continual transformation. There is a deeper flaw in thinking, however, that leads to this type of project mentality. Enterprise leaders commonly think of transformation as something done at a corporate level — something the organization does to itself. But that mindset creates a separation between the act of transformation at an organizational level and the transformation that must occur within each individual to make organizational transformation a reality.

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AI technology is ever evolving and some believe it could be the next digital frontier. Today, the artificial intelligence revolution seems to be transforming every business in just about every industry from auto to banking to retail and beyond. The gaming industry is no exception.

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We are given a desktop platform with Java 8 or Java 9 installed and seek to find a way to deploy high-performance Java applications that use Java 3D and/or Jogl without having to run an installer. We are subject to the constraint that the applications be signed and deployed so that they can be run in a trusted environment (i.e., outside of the sandbox). Further, we seek to do this in a way that does not depend on bundling a JRE with our applications, as this makes downloads and installations rather long.

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Product connectivity goes hand and hand these days with increased use of personal data. New IoT devices are becoming more personalized than ever before.
In his session at 22nd Cloud Expo | DXWorld Expo, Nicolas Fierro, CEO of MIMIR Blockchain Solutions, will discuss how in order to protect your data and privacy, IoT applications need to embrace Blockchain technology for a new level of product security never before seen – or needed.

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Imagine if you will, a retail floor so densely packed with sensors that they can pick up the movements of insects scurrying across a store aisle. Or a component of a piece of factory equipment so well-instrumented that its digital twin provides resolution down to the micrometer.

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With continuous delivery (CD) almost always in the spotlight, continuous integration (CI) is often left out in the cold. Indeed, it’s been in use for so long and so widely, we often take the model for granted. So what is CI and how can you make the most of it? This blog is intended to answer those questions.
Before we step into examining CI, we need to look back. Software developers often work in small teams and modularity, and need to integrate their changes with the rest of the project code base. Waiting to integrate code creates merge conflicts, bugs that can be tricky to resolve, diverging code strategies, and duplicated effort. Before CI, developers also had a problem of wasted time: they compiled and built their changes multiple times a day on their own machine and had to sit idle waiting for these processes to complete. Integrating the changes from all teams happened only at night on big dedicated «build» servers and any issues during this build could create further idle time the next morning as developers isolate and resolve last night’s issues.

Before we step into examining CI, we need to look back. Software developers often work in small teams and modularity, and need to integrate their changes with the rest of the project code base. Waiting to integrate code creates merge conflicts, bugs that can be tricky to resolve, diverging code strategies, and duplicated effort. Before CI, developers also had a problem of wasted time: they compiled and built their changes multiple times a day on their own machine and had to sit idle waiting for these processes to complete. Integrating the changes from all teams happened only at night on big dedicated «build» servers and any issues during this build could create further idle time the next morning as developers isolate and resolve last night’s issues.

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There is a war a-brewin’, but this war will be fought with wits and not brute strength. Ever since Russian President Vladimir Putin’s declaration that “the nation that leads in AI (Artificial Intelligence) will be the ruler of the world,” the press and analysts have created hysteria regarding the ramifications of artificial intelligence on everything from public education to unemployment to healthcare to Skynet.
Note: artificial intelligence (AI) endows applications with the ability to automatically learn and adapt from experience via interacting with the surroundings / environment. See the blog “Artificial Intelligence is not Fake Intelligence” for a more detailed explanation on artificial intelligence and machine learning.

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The need in agility and scalibility neccecisited the evolution on software development from monolithic to microservices to serverless architecture.

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The use of containers by developers — and now increasingly IT operators — has grown from infatuation to deep and abiding love. But as with any long-term affair, the honeymoon soon leads to needing to live well together … and maybe even getting some relationship help along the way. And so it goes with container orchestration and automation solutions, which are rapidly emerging as the means to maintain the bliss between rapid container adoption and broad container use among multiple cloud hosts. This BriefingsDirect cloud services maturity discussion focuses on new ways to gain container orchestration, to better use serverless computing models, and employ inclusive management to keep the container love alive.

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