InfoQ Homepage Clustering & Caching Content on InfoQ
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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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Brewing Java Applications in Sigma Managed Clusters
Kingsum Chow talks about the challenges of large-scale software deployments. Chows covers evaluating and estimating software performance at scale, and optimizing software for resource management.
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The 10 Kubernetes Commandments
Bryan Liles and Carlos Amedee explore topics from booting Kubernetes clusters to running complex workloads as a list of 10 items.
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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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Day Two Kubernetes: Tools for Operability
Bridget Kromhout discusses what containers and Kubernetes clusters are at a high level, and looks into the practical application of open source tools to simplify cluster management.
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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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Efficient Fault Tolerant Java with Aeron Clustering
Todd Montgomery talks about Aeron Clustering, a new means for deploying replicated state machines in Java.
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Forced Evolution: Shopify's Journey to Kubernetes
Niko Kurtti talks about the challenges Shopify saw in moving from a traditional host-based infrastructure to a cloud native one, moving not only their core app to Kubernetes but also other apps.
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Chick-Fil-A: Milking the Most out of 1000's of K8s Clusters
Brian Chambers and Caleb Hurd share how Chick-fil-A manages connections and deployments using two to-be-announced open source projects, and lessons learned from running Kubernetes at the Edge.
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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.
