Scale Out and Conquer: Architectural Decisions Behind Distributed In-Memory Systems


Distributed platforms like Apache® Ignite™ rely on a horizontal “scale-out” architecture where you dynamically add more machines to achieve near-linear, elastic scalability. But how does it really work? What are its limits? And how can you optimize performance and scalability?

In this webinar, we will cover the challenges engineers face when designing distributed systems, and the tips and tricks for optimizing Apache Ignite including:

  • When to use different data-sharding algorithms
  • How to design effective data models that scale in a distributed in-memory system
  • How to optimize distributed synchronization and coordination
  • How to solve the most common scalability challenges with clustered nodes
Denis Magda
Denis Magda
VP, Developer Relations in R&D at GridGain; Apache Ignite committer and PMC member