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
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