InfoQ Homepage QCon Plus November 2022 Content on InfoQ
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Declarative Machine Learning: a Flexible, Modular and Scalable Approach for Building Production ML Models
Shreya Rajpal discusses declarative ML systems, and how they address key issues that help shorten the time taken to bring ML models to production.
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How to Win as a Tech Team in a New Reality That Feels Like a Mad Max Movie?
Mehnaaz Abidi focuses on how they learned and adjusted to this new global reality generated by COVID, sharing tips to help leaders prepare for a hybrid workplace and 100% remote teams in the future.
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Backends in Dart: Strengths, Weaknesses, and Performance
Chris Swan provides an overview of Dart as a back-end language, then dives into those trade offs to look at the pros and cons of different choices.
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Scaling Defenses Amidst Evolving Threat Landscape
Aditi Gupta discusses the design choices made early on during service development that were crucial to scaling operations later on at Netflix.
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What API Product Managers Need
Deepa Goyal discusses structured user research that feeds into an API producer lifecycle, mapping API producer and API consumer lifecycle, releasing iteratively, analyzing customer feedback.
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Privacy-First Re-Architecture
Nimisha Asthagiri discusses what it is like: an alternative architecture and ecosystem, where industry-wide decentralized data ownership is the prime directive.
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Optimizing Teams for Fast Flow
Collette Tauscher discusses how to rethink optimization and visibility through the lens of the business.
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Efficient Language and Library Use to Reduce Carbon
Esteban Küber reviews their experience in designing and building a sample application with the same requirements in both Rust and Java.
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Fabricator: End-to-End Declarative Feature Engineering Platform
Kunal Shah discusses how their ML platform designed Fabricator by integrating various open source and enterprise solutions to deliver a declarative end-to-end feature engineering framework.
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Ray: the Next Generation Compute Runtime for ML Applications
Zhe Zang introduces the basic API and architectural concepts of Ray, as well as diving deeper into some of its innovative ML use cases.
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Overcomplicated Architecture: Scaling Bottleneck
Cassandra Shum discusses one of the bottlenecks of software development, an overcomplicated architecture, addressing how a company gets to an overcomplicated architecture, and how to get out of it.
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The Eternal Sunshine of the Toil-Less Prod
Sasha Rosenbaum discusses the evolution from shipping products to running services, and what she learned while trying different approaches.