In this eBook you'll learn the best practices for delivering new applications and APIs with in-memory computing, and how it helps open up existing systems, become more agile, and deliver unlimited speed and scale.

Most companies face an unprecedented challenge around performance and scalability with their new and existing applications. Over the last decade, there has been a 10-100 times growth on average in queries and transactions. Data has grown 50 times in that period, with as much as 10 times occurring in the last two years alone. Many processes that used to take hours or more must now act as real-time processes that can be completed in seconds (such as one-click shopping).

This growth in data has created a problem: all these new channels must be integrated with the existing IT systems that support customers and the business, and the existing systems cannot handle the required levels of the speed and scale. This new growth requires a new, real-time business layer that meets the demands of digital business to:

• Open up business assets as APIs
• Add real-time analytics and decision automation
• Enable much greater agility
• Deliver unlimited speed and scale
• Allow incremental IT change instead of requiring a "Big Bang" approach

Fortunately, several early adopters of in-memory computing have successfully implemented an API-centric architecture that works. This eBook summarizes some of their best practices.

About the Best Practices for Digital Transformation with In-Memory Computing eBook Series

This eBook series outlines the successful journey that companies have taken, and some of the more common best practices they’ve followed.

Series includes:

Part 1: Building an In-Memory Computing Foundation and Roadmap

Part 2: Adding Speed and Scale to Existing Applications

We will update this page with new sections as we release them. Stay tuned!