Designing Multi-Cluster In-Memory Computing Applications
This 1-hour webinar presented by GridGain System’s Sr. Technical Consultant Lucas Beeler will discuss architectural best practices many companies have used in their journey to multi-cluster computing applications.
In-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 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
By the end of this webinar, you will understand these best practices for designing multi-cluster in-memory computing applications.