InfoQ Homepage Conferences Content on InfoQ
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CRDTs and the Quest for Distributed Consistency
Martin Kleppmann explores how to ensure data consistency in distributed systems, especially in systems that don't have an authoritative leader, and peer-to-peer communication.
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Redesign Design
Matteo Cavucci explores how design is changing in the digital age, beyond the initial delivery of specifications and blueprints, to an adaptive co-creation process that evolves iteratively over time.
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Introducing FlureeDB, The World's First ACID-Compliant Blockchain Database
Brian Platz introduces FlureeDB, a graph-style database for building blockchain applications.
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Implementing Raft in RabbitMQ
Michael Klishin and Karl Nilsson explain the pros and cons of RabbitMQ adopting Raft, how it can affect users, and what kind of trade-offs their team faced.
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Strangling the Monolith with a Data-driven Approach: A Case Study
Simon Duffy and David Julia discuss rewriting a monolith application using data-driven testing.
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Modernizing Applications to Pivotal Cloud Foundry
The presenters discuss using techniques and patterns such as Event Storming, Strangling, Starving, Slice Analysis and Domain Driven Decomposition to transform legacy apps for PCF.
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How Comcast Embraced Open
Nithya Ruff and Shilla Saebi share tips on how to change an organization’s mindset towards embracing open source and inclusiveness, community building, and contributing upstream.
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Ford Motor Company’s Cloud Native Reference Application
Todd Hall discusses Ford’s PCF reference application and its role in describing a default set of patterns and practices for their teams.
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Avoiding That $1M Dollar AWS Bill
Mark Michael and Glenn Oppegard share their experience moving a PCF application from AWS to GCP.
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Data Pipelines for Real-Time Fraud Prevention at Scale
Mikhail Kourjanski discusses the architecture of PayPal’s data service which combines a Big Data approach with providing data in real time for decision making in fraud detection.
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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.
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Self-Racing Using Deep Neural Networks: Lap 2
Jendrik Joerdening and Anthony Navarro discuss how a team of Udacity students used neural networks to teach a car to drive by itself around a track in two days.
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