My eye rolling has increased ever since Pokémon GO released. Throughout the day, and I don’t think there’s been a day without an eye-roll, I hear cries of frustration from my 11-year-old daughter: “I can’t log on”… eye-roll. “The app won’t open”… eye-roll. “Pokémon GO crashed again!”… eye-roll. “I have to log on a different way now… and I don’t remember my new log in”… quadruple eye-roll. I roll my eyes because no matter how many times I explain the problem to her and why it’s happening (lack of functional load testing). She just refuses to understand and won’t stop the play-by-play commentary about these problems.
I started to think about how IBM uses predictive cloud computing, which forecasts and predicts professional golf and tennis tournament popularity to automatically allocate shared computing resources as needed, and how it’s a shame that technology wasn’t applied to Pokémon GO. This technology sure could have saved me some eye strain.
So if you’re a developer looking to build a stable, high-volume and traffic app (and don’t we all want to do that?), you’ll absolutely want to learn more about predictive cloud computing. Read our first seven tutorials in the Predictive Cloud Computing series.
Predictive Cloud Computing for professional golf and tennis
- Part 1: Introduction
- Part 2: Web application design
- Part 3: Big data in motion
- Part 4: Big data at rest
- Part 5: Continuous integration and deployment
- Part 6: Maven, unit and integration testing, and static code analysis
- Part 7: Big data storage & analytics—IBM DB2 and Graphite