The adoption of cloud-based solutions has become increasingly common. The proof for this is evident – according to Gartner, Inc., the worldwide public cloud services market is expected to grow by 6.3% in 2020, up to a staggering $257.9 billion in value. The Flexera 2020 State of the Cloud Report, released on April 28, 2020, states that more than 90% of respondents have adopted cloud computing, with the top three cloud service providers being – AWS, Azure, and Google Cloud Platform.

When making changes to applications these days, it’s hard to understand and predict the impact of those changes before you deploy. API connections are multiplying, and with new cloud platforms such as containers/serverless, it only add to the complexity. Some people have trouble remembering whether they closed the garage door or turned off the coffee maker. Can you remember all the details of your latest API contract change? Let alone who would be impacted and needed to be notified?

The mainstreaming of low-code development has changed the business automation landscape. And the blistering pace of this fast-moving trend—of combining and scaling artificial intelligence, and low-code—is at the heart of the hyperautomation movement. So says Neil Ward-Dutton in his chapter of the recently published HYPERAUTOMATION, a collection of expert essays on low-code development and the future of business automation.

Do you need faster time to value? Does your organization’s success depend on immediate delivery of new reports, applications, or projects? When you go to Central IT for support, are you blocked by insanely long wait times for the resources needed to meet your business goals? If so – you are likely one of the growing group of Line of Business (LoB) professionals forced into creating your own solution – creating your own Shadow IT.

These bundled analytics tools help organizations facilitate and increase the adoption of self-service BI practices among regular business users in a specific operational domain, such as finance, marketing and sales. It does so by improving the availability and measurement of important, relevant historical data for your end users’ decision-making.

We’ve covered a lot of ground in the past few blog posts, including how to contribute to the project, and some details of what you can expect as a Selenium user. But there’s more to Selenium than just the APIs you use to write your tests, and one of the big features we’ve not covered yet is the refreshed Selenium Grid: a mechanism that allows you to distribute your tests across a fleet of machines.

Interested in making a dashboard but unsure where to start? Check out these dashboard best practices and tips for what separates the good from the bad.

If you haven’t heard of Apache JMeter, then here is a short intro on what is it and how it works. We’ll keep this article short and jump straight to the list of top reasons to use Apache JMeter: Apache JMeter has a GUI for designing test scenarios, however the command-line is used for actually running the tests (run your JMeter tests in the cloud with JMeter Load Testing tool from LoadFocus).

Today, we’re pleased to support Flutter’s growing community of builders by releasing Ably’s Flutter plugin v1.0. This makes it easy for developers to add WebSocket-based pub/sub messaging to their Flutter applications. Flutter has grown incredibly over the past few years, providing a platform to build modern applications. Increasingly, developers are looking to build event-driven applications where user interactions play out in realtime.

Jamstack is a modern web development architecture based on client-side JavaScript, reusable APIs, and prebuilt Markup. It is not yet a full technology stack like MEAN, MERN or LAMP. Rather, it is an architectural concept built using JavaScript, API and Markup.