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Happy 10th year, JCertif!
Notes
Welcome to Codetown!
Codetown is a social network. It's got blogs, forums, groups, personal pages and more! You might think of Codetown as a funky camper van with lots of compartments for your stuff and a great multimedia system, too! Best of all, Codetown has room for all of your friends.
Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
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InfoQ Reading List
War in Iran Damages Multiple AWS Data Centers, Challenging Multi-AZ Assumptions
Earlier this month, Iranian drone strikes damaged three AWS data centers in the UAE and Bahrain, causing outages and disruptions to multiple services. The events, which affected multiple facilities within the same AWS region, sparked discussion in the community about how geopolitical conflict can directly impact global cloud infrastructure and multi-AZ deployments.
By Renato LosioQCon London 2026: Uncorking Queueing Bottlenecks with OpenTelemetry
At QCon London 2026, Julian Wreford and Oli Lane from Gearset showcased how distributed tracing and SLOs solve asynchronous observability gaps. By shifting from queue-size metrics to latency-based alerts, the team improved incident response. Key technical takeaways included using OpenTelemetry trace state for async duration tracking and wide events to uncover hidden architectural waste.
By Mark SilvesterQCon London 2026: Ontology‐Driven Observability: Building the E2E Knowledge Graph at Netflix Scale
Prasanna Vijayanathan and Renzo Sanchez-Silva, both Engineers at Netflix, presented “Ontology‐Driven Observability: Building the E2E Knowledge Graph at Netflix Scale” at QCon London 2026, where they discussed the design and implementation of an end-to-end knowledge graph that models the Netflix user experience.
By Michael RedlichQCon London 2026: From DVDs to Global Streaming How Netflix’s Commerce Architecture Actually Evolved
Dynamic principal engineer at Netflix, Kasia Trapszo, expertly navigates the evolution of the company’s commerce architecture from a DVD rental service to a global streaming giant. Her insights on pragmatic adaptations to billing systems reveal invaluable lessons on agility, localization, and the complexity of modern payment landscapes.
By Daniel CurtisQCon London 2026: Reliable Retrieval for Production AI Systems
At QCon London 2026, Lan Chu, AI Tech Lead at Rabobank, shared lessons from deploying a production AI search system used internally by more than 300 users across 10,000 documents. Her experience shows that most failures in RAG systems stem from indexing and retrieval, rather than the language model itself.
By Daniel Dominguez
© 2026 Created by Michael Levin.
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