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Development

Featured in Development

Python, Numba, and Algorithm Design: Building Efficient Models in Financial Services

Chad Schuster discusses bridging Python's developer velocity with C-like performance using Numba JIT and GPUs. Drawing from large-scale actuarial modeling, he explains LLVM pipeline architecture, performance gains up to 750x, and essential trade-offs like OOP limits, type inference errors, and compile-time overhead for engineering leaders scaling compute-heavy enterprise systems.

All in development

Architecture & Design

Featured in Architecture & Design

From DVDs to Global Streaming: How Netflix’s Commerce Architecture Actually Evolved

Kasia Trapszo discusses how Netflix evolved its commerce platform from a U.S. DVD service into global infrastructure. She explains navigating international payment realities, adapting to strict regulatory mandates, decomposing monolithic architectures along domain boundaries, and re-architecting systems for massive live-event demand - proving great systems survive by continually evolving.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

Beyond Offset Lag: Computing Time in Queue for Apache Hudi Data Lake Pipelines at Petabyte Scale

In this article, author Srikanth Mamidala discusses the data lake architecture used for analytics, reporting, and machine learning and shows how to manage the consumer lag metrics when using Kafka and Apache Hudi.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

Rightsizing Platform Engineering: Building the Platform Your Organization Actually Needs

Shift-left and DevOps have impacted how we flow changes from inception to production, but at the cost of increased cognitive load and duplication of effort across testing, security, and maintenance. This article explores the real-world challenges of rightsizing developer platforms and finding a cultural match for engineering teams who use them to reduce cognitive load and deliver change faster.

All in culture-methods

DevOps

Featured in DevOps

Can Claude Fix Itself? Using LLMs for Incident Response

Anthropic reliability engineer Alex Palcuie shares practical lessons on using LLMs for real-world incident response. He explains where AI acts as a superhuman for observing logs and traces, why it still struggles with causation versus correlation during root-cause analysis, and how engineering leaders can integrate AI into on-call workflows without eroding human expertise.

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Architecture & Design

Design Patterns for Combining Fast Data with Big Data in Finance

Mike Stolz shares insight in combining the benefits of analyzing Big Data with those of grabbing the opportunities offered by Fast Data in the Financial Services industry.

Mike Stolz
on Jul 25, 2012

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44:45

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Topics

Python, Numba, and Algorithm Design: Building Efficient Models in Financial Services

From DVDs to Global Streaming: How Netflix’s Commerce Architecture Actually Evolved

Beyond Offset Lag: Computing Time in Queue for Apache Hudi Data Lake Pipelines at Petabyte Scale

Rightsizing Platform Engineering: Building the Platform Your Organization Actually Needs

Can Claude Fix Itself? Using LLMs for Incident Response

Helpful links

Choose your language

Presentations

Design Patterns for Combining Fast Data with Big Data in Finance

Audio Fingerprinting Discovered on Alibaba Websites While Debugging BLE Multipoint Disconnects

Python, Numba, and Algorithm Design: Building Efficient Models in Financial Services

DRAM Controller Register Manipulation Breaks CPU Memory Isolation

Uber Builds GitFarm to Run Git Operations as a Service for Large-Scale Monorepos

From DVDs to Global Streaming: How Netflix’s Commerce Architecture Actually Evolved

AWS Introduces Specification-Driven Composition for Flexible Data Workflows

How to Make Testing More Sustainable

Rightsizing Platform Engineering: Building the Platform Your Organization Actually Needs

How Code in the Age of Artificial Intelligence Becomes Write-Only and Disposable

FreeToken Unlocks Frontier MoE Inference on Consumer Hardware via Dynamic Co-Execution

Meta Expands Its Custom Silicon Strategy From Compute Into Networking

Beyond Offset Lag: Computing Time in Queue for Apache Hudi Data Lake Pipelines at Petabyte Scale

AKS Looks to Make Node Disruption More Predictable with New NAP Guidance

Can Claude Fix Itself? Using LLMs for Incident Response

Diagrid Catalyst 2.0 Adds Durable and Verifiable Execution for AI Agents

Online InfoQ AI Security & Privacy Engineering Program

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