InfoQ Homepage Clustering & Caching Content on InfoQ
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Cluster Consensus: When Aeron Met Raft
Martin Thompson explains how consensus algorithms operate and the techniques that can be applied to make them efficient. Thompson covers the mechanics of a working consensus system.
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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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Cloud-Native and Scalable Kafka Architecture
Allen Wang talks about how Netflix addresses the issues of stability and scalability in a cloud environment by having many smaller and mostly immutable Kafka clusters with limited state changes.
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Taming Distributed Stateful Pets with Kubernetes
Matthew Bates,James Munnelly explain how to use StatefulSet and dynamic volume provisioning to manage the lifecycle of distributed and secure Cassandra clusters with the open source project Navigator.
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Kubernetes: Crossing the Chasm
Ian Crosby covers the fundamental concepts and features of Kubernetes, best practices and anti-patterns running apps is such an environment, setting up a production ready Kubernetes cluster.
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Containers, Kubernetes and Google Cloud
Mete Atamel shows how to build a system, starting with a microservice, containerize it using Docker, and scale it to a cluster of resilient microservices managed by Kubernetes.
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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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Causal Consistency for Large Neo4j Clusters
Jim Webber explores the new Causal clustering architecture for Neo4j, how it allows users to read writes straightforwardly, explaining why this is difficult to achieve in distributed systems.
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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.
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Leadership Election with Spring Cloud Cluster
Dave Syer shows how Spring Cloud Cluster provides a simple abstraction for leader election and how it is implemented using Zookeeper, Hazelcast and etc.