Systems | Development | Analytics | API | Testing

Historically, maintenance has been driven by a preventative schedule. Today, preventative maintenance, where actions are performed regardless of actual condition, is giving way to Predictive, or Condition-Based, maintenance, where actions are based on actual, real-time insights into operating conditions. While both are far superior to traditional Corrective maintenance (action only after a piece of equipment fails), Predictive is by far the most effective.

For our latest specialist interview in our series speaking to technology leaders from around the world, we’ve welcomed James Kaplan CEO and Co-Founder of MeetKai. He founded the startup with his Co-Founder and Chairwoman, Weili Dai, after becoming frustrated with the limitations of current automated assistants. Kaplan has had a true passion for AI and coding since he was six. He wrote his first bot at only nine years old and wrote the first original Pokemon Go bot.

Suppose that you work for a government tax agency. You recently noticed that some tax fraud incident records have been leaked on the darknet. This information is held in a Kafka Topic. The incident response team wants to know who has accessed this data over the last six months. You panic. It is a common requirement for business applications to maintain some form of audit log, i.e. a persistent trail of all the changes to the application’s data to respond to this kind of situation.

Suppose that you work for the infosec department of a government agency in charge of tax collection. You recently noticed that some tax fraud incident records went missing from a certain Apache Kafka topic. You panic. It is a common requirement for business applications to maintain some form of audit log, i.e. a persistent trail of all the changes to the application’s data. But for Kafka in particular, this can prove challenging.

Joint customers can now stay within AWS for all cloud services and minimize data movement costs.

What can we say: Research is non-linear, there are tests, and adjustments, and more tests, and more adjustments, and then we add more data, and test some more, and… you know the story.

The most flexible native mobile-app testing solution.” It’s a bold claim that we are making about the BitBar Real Device Cloud. One of the essential features of being the most flexible is being framework-agnostic. In this article, we’ll take a closer look at this term and see how QA teams and managers can benefit from such a platform. BitBar Cloud recently extended Flutter support to include Flutter 2.2 released by Google on May 18th, 2021.

We are excited to inform all of our users that we will be bringing OpenSearch and OpenDashboards onto the Logit.io platform in the coming months. You may have already been aware that we’ve previously announced our support for the previous iteration of OpenSearch & OpenDashboards known as Open Distro in our response here. Due to our early public support of these oncoming changes you can see our platform cited on the official AWS OpenSearch website.

When Apple launched its App Store in 2008, it opened a window of opportunity for thousands of software developers who rushed to invent the mobile-first world in which we all live today. Vendors that embraced the new paradigm, such as game developer Imangi, saw breakthrough success.