In-Memory Computing Best Practices: Adding Speed and Scale to Existing Applications

It's hard to improve the customer experience when your existing applications can't handle the existing loads and are inflexible to change. This webinar is Part 2 in our In-Memory Computing Best Practices Series. It focuses on the most common first in-memory computing project, adding speed and scale to existing applications. 

You will learn how companies have not only added speed and scale to their existing applications without major architectural changes, but have also built a foundation for improving the customer experience.  This session provides an overview of how companies have successfully adopted in-memory computing as an in-memory data grid (IMDG), and some of their best practices. By the end of this session you'll understand:

• How an IMDG adds speed and scale without requiring you to rip out and replace existing databases or applications
• Typical projects where an IMDG makes sense as a first project
• Best practices implementing the first IMDG project and preparing for future projects including real-time analytics, new applications and APIs, streaming analytics and machine and deep learning

Catch up on the In-Memory Computing Best Practices Series

Watch Part 1: “Building an In-Memory Computing Foundation and Roadmap.”

Watch Part 3: "In-Memory Computing Best Practices: Developing New Apps, Channels and APIs.”