InfoQ Homepage Presentations
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Managing 238M Memberships at Netflix
Surabhi Diwan discusses how the Netflix’ membership team outgrew many of its technology and architectural choices as memberships went from a few hundred thousand to 200 million.
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Simplifying Real-Time ML Pipelines with Quix Streams
Tomáš Neubauer discusses Quix Streams, an open-source Python library that helps data scientists and ML engineers to build real-time ML pipelines.
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Maximizing Performance and Efficiency in Financial Trading Systems through Vertical Scalability and Effective Testing
Peter Lawrey discusses achieving vertical scalability by minimizing accidental complexity and using an event-driven architecture.
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The Web's Next Transition
Kent C. Dodds discusses how the transition to the next version of the web will impact user experience, the development productivity, and business goals.
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Perils, Pitfalls and Pratfalls of Platform Engineering
Charity Majors discusses how platform engineering teams are different from other engineering teams, and presents some of the ways they run into traps and other troubles.
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Cognitive Digital Twins: a New Era of Intelligent Automation
Yannis Georgas presents the building blocks of a Cognitive Digital Twin and discusses the challenges and benefits of implementing one in an organization.
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Improve Feature Freshness in Large Scale ML Data Processing
Zhongliang Liang covers the impact of feature freshness on model performance, discussing various strategies and techniques that can be used to improve feature freshness.
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Living on the Edge: Boosting Your Site's Performance with Edge Computing
Erica Pisani discusses what the edge is, how running code and serving data on the edge can improve site performance, and how to leverage these options to maximize site performance.
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The Rise of the Serverless Data Architectures
Gwen Shapira explores the implications of serverless workloads on the design of data stores, and the evolution of data architectures toward more flexible scalability.
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Amazon DynamoDB Distributed Transactions at Scale
Akshat Vig explains how transactions were added to Amazon DynamoDB using a timestamp-based ordering protocol to achieve low latency for both transactional and non-transactional operations.
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Comparing Apples and Volkswagens: the Problem with Aggregate Incident Metrics
Courtney Nash presents data from the Verica Open Incident Database (VOID) to demonstrate how aggregate incident metrics (MTTR) aren't representative of systems' resilience.
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How to Apply a Product Mindset to Your Platform Team Tomorrow
Jelmer Borst explores the benefits and challenges of how organizations can make the shift from a traditional infrastructure team to "platform as a product".
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