My colleague Denis Magda, director of product management here at GridGain Systems, will be presenting a talk Jan. 17 on the architectural decisions behind distributed in-memory systems. The live webinar is free and you can participate by registering now to reserve your spot.
The title of the webinar is, "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," Denis said. "But how does it really work? What are its limits? And how can you optimize performance and scalability?"
Denis will explain that in his webinar. Specifically, he'll 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
In related news, Yakov Zhdanov, director of R&D at GridGain Systems, spoke the same topic at the In-Memory Computing North America Summit last October near San Francisco, Calif. In his presentation below, he also talks about the compromises and pitfalls engineers face when designing distributed systems.