InfoQ Homepage Architecture & Design Content on InfoQ
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Architecting for Failure in a Containerized World
Tom Faulhaber discusses the new container-based toolbox for building systems that are robust in the face of failures, how to recover from failure and how the tools can be used to best effect.
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Petabytes Scale Analytics Infrastructure @Netflix
Tom Gianos and Dan Weeks discuss Netflix' overall big data platform architecture, focusing on Storage and Orchestration, and how they use Parquet on AWS S3 as their data warehouse storage layer.
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Automatic Discovery of Service Metadata for Systems at Scale
Martina Iglesias Fernández discusses Spotify’s approach to documentation through automatic discovery of existing endpoints, service configuration, and deployment information at runtime.
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Selling Unikernels: The CyberChaff Experience
Adam Wick talks about his team’s experience developing CyberChaff, a novel network defense solution with unikernels built into its core and why unikernels made sense for them.
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Machine Learning Your Way to Smarter API Error Responses
Steven Cooper discusses using machine learning to understand malformed API requests to not only respond with a best fit response, but capture the user errors for future responses.
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Autonomous Operations: Microservices, ML and AI
Rob Harrop discusses the increasing automated field of operations and what the future might hold when machine learning and AI techniques are brought to bear on the problem of systems operations.
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Serverless Meets SaaS: The Ultimate Match
Tod Golding discusses the architecture and design strategies associated with building and delivering SaaS solutions in a serverless model.
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Hypermedia Myths and Misconceptions
Glenn Block discusses the truth and myth beyond some beliefs: the web was built for hypermedia, there is no REST without hypermedia, hypermedia is the magic cure for all API ills, etc.
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Scaling Counting Infrastructure @Quora
Chun-Ho Hung and Nikhil Garg discuss Quanta, Quora's counting system powering their high-volume near-real-time analytics, describing the architecture, design goals, constraints, and choices made.
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Bootiful Microservices in a Legacy Environment: Lessons Learned
David Julia describes some patterns that Pivotal Labs have employed over the last two years of building Spring Boot based microservices in the context of legacy systems.
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Microservices: Organizing Large Teams for Rapid Delivery
The speakers discuss the organizational structure and communication and development strategies and tools to allow teams to work in parallel without drowning in process overhead and coordination costs.
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The Journey from Monolith to Microservices: A Guided Adventure
Mike Gehard takes the journey from monolith to microservices.
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