Systems | Development | Analytics | API | Testing

A hands-on article about how to build and test your Android app on physical devices on the cloud with Espresso, AWS Device Farm, and Bitrise.

One of the core tasks during load testing is setting-up of required Test Agents or Load Generators. Though it is straightforward in most cases, it can be challenging and time-consuming when you do not have enough details required for hardware sizing and memory footprint and also need support for thousands of virtual users.

The mobile app customer experience is more than simple UX design. It encompasses the experience that users get across all of the brand’s channels and includes all the interactions as a user identifies, evaluates, purchases, uses, re-engages, and leaves the product. A recent report noted that users downloaded 204 billion mobile apps globally in 2019; and customer churn is easier than ever.

This article is a hands-on guide to run Appium UI tests for Android apps. I will explain the integration between Appium and Bitrise and give you useful tips to make the most out of both tools.

“40% of all enterprise workloads will be deployed in CIPS [cloud infrastructure and platform services] by 2023, up from only 20% in 2020.”.As the cloud permeates every aspect of business, decision-makers must make critical choices regarding infrastructure at every turn. Their answers will ultimately determine if every part of an organization is empowered to move forward in a cohesive way to reach business outcomes.

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.