On-demand webinar: Designing Multi-Cluster In-Memory Computing Applications

On-demand webinar: Designing Multi-Cluster In-Memory Computing ApplicationsIn-memory computing is a journey that requires up-front planning and preparation to complete. Companies often start with caching to add speed and scale to existing applications. But before you know it, you're building new hybrid transactional/analytical processing (HTAP) applications, new streaming analytics applications, or even starting to implement machine and deep learning. If you don't design properly up front, you can end up with costly redesigns and project delays.

This 1-hour webinar recording was first presented by GridGain’s senior technical consultant Lucas Beeler at the In-Memory Computing Summit Europe 2018 in London this past June. It was so popular with attendees that he turned it into a recorded webinar to help those architects looking for best practices for designing multi-cluster in-memory computing applications.

The presentation uses the architectural best practices many companies have used in their journey to multi-cluster computing applications.

At the end of this webinar, you will understand these best practices for designing multi-cluster in-memory computing applications.

This webinar will explain with examples how to:

  • Design for separation of concerns using multiple clusters including the popular command query responsibility segregation (CQRS) pattern
  • Architect for orthogonal evolution of clusters to help implement, upgrade and manage independently
  • Compartmentalize and segregate loads to help ensure performance and availability SLAs or improve overall system reliability

To view Lucas' one-hour presentation (and download his slides), click here. It's free but registration is required.

Share This