InfoQ Homepage Infrastructure Content on InfoQ
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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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P to V to C: The Value of Bringing “Everything” to Containers
Cornelia Davis and Mukesh Gadiya examine the benefits of containerization, the role of infrastructure virtualization, discussing containers, pods, controllers, policies and more.
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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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Migrating from Big Data Architecture to Spring Cloud
Lenny Jaramillo discusses how Northern Trust migrated to PCF, highlighting how this helped them accelerate the delivery of functionality to their customers.
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Using Data Effectively: beyond Art and Science
Hilary Parker talks about approaches and techniques to collect the most useful data, analyze it in a scientific way, and use it most effectively to drive actions and decisions.
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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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Accelerated Spark on Azure: Seamless and Scalable Hardware Offloads in the Cloud
Yuval Degani shows how hardware accelerations in Azure can be utilized to speed-up Spark jobs, with the aid of RDMA (Remote Direct Memory Access) support in the VM.
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Multi-Service Reactive Streams Using Spring, Reactor, and RSocket
Ben Hale and Rossen Stoyanchev explore how to create a fully reactive multi-service architecture utilizing the RSocket protocol.
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Implementing AutoML Techniques at Salesforce Scale
Matthew Tovbin shows how to build ML models using AutoML (Salesforce), including techniques for automatic data processing, feature generation, model selection, hyperparameter tuning and evaluation.
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