InfoQ Homepage Caching Content on InfoQ
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How Netflix Ensures Highly-Reliable Online Stateful Systems
Joseph Lynch discusses the architecture of Netflix's stateful caches and databases, including how they capacity plan, bulkhead, and deploy software to their global, full-active, data topology.
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Ubiquitous Caching: a Journey of Building Efficient Distributed and In-Process Caches at Twitter
Juncheng Yang discusses three trends in hardware, workload, and cache usage that shape the design of modern caches.
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GraphQL Caching on the Edge
Max Stoiber discusses why and how to edge cache production GraphQL APIs at scale.
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Enterprise Systems Built with Microservices are Designed to Expect Failures, But Then What? How Do We Handle Failures?
Dalia Borker explores the use of caching frameworks to improve resilience and performance in enterprise microservices systems with Redis, Pivotal Cloud Cache, and Hazelcast.
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Scalable Smart Caching for Spring Developers
Pulkit Chandra, Nikhil Chandrappa showcase the Spring data annotation support for getting started with PCC and explain how developers can mock the PCC behavior when testing.
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Caching Beyond RAM: The Case for NVMe
Alan Kasindorf explores the possibility of using new storage devices to reduce DRAM dependency for cache workloads and talks about use cases that optimize for different cache workloads.
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Big Data and Deep Learning: A Tale of Two Systems
Zhenxiao Luo explains how Uber tackles data caching in large-scale DL, detailing Uber’s ML architecture and discussing how Uber uses Big Data, concluding by sharing AI use cases.
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Building Enterprise Cache Based on CQRS
Komes Subramaniam discusses building a system that is implementing the CQRS pattern with a presentation friendly data model.
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Caching for Microservices - Introduction to Pivotal Cloud Cache
Pulkit Chandra discusses how to use Pivotal Cloud Cache and its performance under load, demoing a Spring Boot app which uses Spring Data Geode to talk to a Pivotal Cloud Cache cluster.
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In-Memory Caching: Curb Tail Latency with Pelikan
Yao Yue introduces Pelikan - a framework to implement distributed caches such as Memcached and Redis. She discusses the system aspects that are important to the performance of such services.
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Scaling Dropbox
Preslav Le talks about how Dropbox’s infrastructure evolved over the years, how it looks today, as well the challenges and lessons learned on the way.
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In-Memory Caching: Curb Tail Latency with Pelikan
Yao Yue introduces Pelikan, a framework to implement distributed caches such as Memcached and Redis.
/presentations/pelikan/en/mediumimage/Yaobig.JPG)