InfoQ Homepage Scalability Content on InfoQ
-
Java at Scale
Steve Poole explores the cutting edge of “Java at Scale” and discusses how the use cases are being reflected in new thoughts about Java and the JVM.
/presentations/java-jvm-scalability/en/mediumimage/Stebig-1530408213163.JPG)
-
pDB: Scalable Prediction Infrastructure with Precision and Provenance
Balaji Rengarajan describes the platform built on the Celect’s pDB framework, providing multiple use cases such as online personalization, document classification, and geospatial anomaly detection.
/presentations/celect-pdb/en/mediumimage/Balbig-1527086103910.JPG)
-
Microservices & Scaling of Rational Interactions
Mark Burgess talks about the scaling of microservices in computer and human interaction.
/presentations/microservices-scalability-human-interaction/en/mediumimage/Marbig-1524273958031.JPG)
-
Logistics as a Service: Building the Ocado Smart Platform
Paul Sweetman and Alex Harvey discuss how Ocado Technology has built The Ocado Smart Platform, a scalable, AWS-based microservices architecture, combined with GCP analytics and a robotics grid.
/presentations/ocado/en/mediumimage/Paulbig-1523843786702.jpg)
-
Enterprise Node.JS Apps in 2018
Jamund Ferguson discusses tackling challenges with large-scale Node.js deployments, using async/await to handle errors, and strategies to embrace latest JavaScript technologies.
/presentations/enterprise-nodejs-apps/en/mediumimage/Jambig-1523843244007.JPG)
-
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.
/presentations/cloud-native-kafka-netflix/en/mediumimage/Albig-1523574479018.JPG)
-
Scaling Uber's Elasticsearch Clusters
Danny Yuan talks about how Uber scaled its Elasticsearch clusters as well as its ingestion pipelines for ingestions, queries, data storage, and operations by a three-person team.
/presentations/uber-elasticsearch-clusters/en/mediumimage/Danbig-1523495149819.JPG)
-
With Great Scalability Comes Great Responsibility
Dana Engebretson covers the contextual pros and cons of a number of architectural patterns given real world scalability constraints.
/presentations/scalability-architectural-patterns/en/mediumimage/WithGreatScalabilityComesGreatResponsibility-Big-1521734444957.jpg)
-
Custom App Auto-Scaler Using Cloud Controller API
Chris Decelles demos building a custom application auto-scaler using the Cloud Foundry’s controller API.
/presentations/auto-scale-cloud-controller-api/en/mediumimage/Chrisbig-1521421912626.JPG)
-
Scaling Marketplaces at Thumbtack
Nate Kupp shares some of Thumbtack’s key learnings on their journey to scale and their future with fully-managed systems.
/presentations/thumbtack-scalability/en/mediumimage/Natbig-1521080309385.JPG)
-
NDBench: Benchmarking Microservices at Scale
Vinay Chella and Ioannis Papapanagiotou discuss Netflix's Cloud benchmark system, how it was integrated with their release cycle, showcasing how multiple instances can be monitored from a single UI.
/presentations/ndbench-neflix-cloud-performance/en/mediumimage/Doibig-1516231511601.JPG)
-
Getting Data Science to Production
Sarah Aerni covers the nuts and bolts of the Einstein Platform, a system that enables the automation and scaling of Artificial Intelligence to 1000s of customers, each with multiple models.
/presentations/einstein-platform-ai/en/mediumimage/Sarbig-1515888330792.JPG)