InfoQ Homepage Architecture Content on InfoQ
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Managing the Complexity of Microservices Deployments
Prithpal Bhogill and Kenny Bastani discuss building cloud native apps on PCF, Spring Boot and Cloud Services, exposing microservices over HTTP with Apigee Edge.
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Deconstructing Monoliths with Domain-driven Design
This talk explains how Liberty Mutual changed a monolithic app into an event-driven microservices based architecture implemented with Event Sourcing and CQRS.
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Rapidly Develop, Deploy and Scale Java Cloud Apps Using Spring Boot
Asir Selvasingh demos building and deploying Java apps and microservices across multiple datacenters.
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Decentralized Governance for the Masses
Kent Dahlgren discusses the designs and approaches chosen in developing a decentralized governance solution for people with low income and modest resources.
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Insecure Transit - Microservice Security
Sam Newman outlines some of the key challenges associated with microservice architectures with respect to security, and then looks at approaches to address these issues.
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Fault Tolerance Is a Requirement, Not a Feature
Adar Danait and Lilian Ernest discuss best practices and recommendations for using Hystrix circuit breaker for microservices.
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When Do I Need a Blockchain? A Hands-on Comparison of Decentralized and Centralized Application Development
Michail Brynard explores the differences between apps and dapps and look at the architectural decisions behind some real-world decentralized applications, reviewing best practices and hybrid apps.
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Tools to Put Deep Learning Models in Production
Sahil Dua discusses how Booking.com supports data scientists by making it easy to put their models in production, and how they optimize their model prediction infrastructure for latency or throughput.
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Real-Time Data Analysis and ML for Fraud Prevention
Mikhail Kourjanski addresses the architectural approach towards the PayPal internally built real-time service platform, which delivers performance and quality of decisions.
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End-to-End ML without a Data Scientist
Holden Karau discusses how to train models, and how to serve them, including basic validation techniques, A/B tests, and the importance of keeping models up-to-date.
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Liquidity Modeling in Real Estate Using Survival Analysis
Xinlu Huang and David Lundgren discuss hazard and survival modeling, metrics, and data censoring, describing how Opendoor uses these models to estimate holding times for homes and mitigate risk.
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FlexiTime Token: Building dApps with Ethereum
Alex Batlin talks about dApp in Ethereum, what it is and how it can help us track pre-bought time as tokens on blockchain.
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