If you’ve ever done anything in Android that takes more than 16 milliseconds to process then you’ve probably heard of Android services and background processing in general. Why 16 milliseconds? At Android’s refresh rate of 60 frames per second, the main thread can not be delayed by more than 16 milliseconds to avoid frame skipping and, therefore, UI lagging. The problem is – Google is constantly changing the way background processes are allowed to run. This is mostly done for…
When you’re planning to develop a mobile app the second most important decision you’ll ever make is selecting a technology to use (first being the content of the app) Ideally you’d want a version of your app for both iOS and Android and so there are really only 3 choices you have in 2021: 1. Develop natively for two platforms, using Kotlin/Java for Android and Swift/Objective C for iOS 2. Use Flutter (made by Google) 3. Use React Native (made…
Having deployed a production project in Kubernetes, I question the value that it adds in a Cloud-native world.
The Wolf Golf Scorecard app for Android, by Rod Biresch of Chariot Solutions, is a record-keeping application for a classic four-player golf game. Recently, Chariot had the opportunity to redesign and refresh the look-and-feel and usability of the application (first released in 2016) through a complete design deep-dive process.
This post is a quick primer on the basic titles and skills best suited to fulfill responsibilities along your company’s data pipeline.
Our CMO Tracey-Welson Rossman sits down with Leslie Richards, the General Manager of SEPTA, to discuss the extensive role of data in public transit.
Chariot’s Rod Biresch and Pete Fleming discuss the importance of a UX analysis through the lens of Rod’s pet project: a mobile app for golfing.
How do you right-size your data analytics effort? Our experts recommend asking these five questions to set up reasonable project parameters.
In this interview, Lanaya Nelson from Motion Insurance discusses how harnessing drivers’ telematics and GPS data is disrupting the auto industry.
In this interview, Stacey Mosley talks about using data to get really granular about large economic concepts. What can real estate data tell us about how a certain city is performing? In the age of COVID, how does it help us identify suffering industries? And what are the data points Stacey is using to paint these pictures?