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Featured in Development

Pitfalls of Unified Memory Models in GPUs

Joe Rowell explores the use of unified memory on modern GPU, the low-level details of how unified memory is realized on an x86-64 system, and some of the tools to understand what's happening on a GPU.

All in development

Architecture & Design

Featured in Architecture & Design

Building a Global Caching System at Netflix: A Deep Dive to Global Replication

Netflix's EVCache system handles 400M ops/second across 22,000 servers, managing 14.3 PB of data. This infrastructure ensures global availability and resilience through intelligent data routing and flexible replication strategies. By implementing batch compression and switching to DNS-based discovery, Netflix optimizes efficiency, reduces bandwidth usage and significantly lowers operational costs.

All in architecture-design

AI, ML & Data Engineering

Featured in AI, ML & Data Engineering

Generally AI - Season 2 - Episode 2: Fantastic Algorithms and Where to Find Them

Roland Meertens and Anthony Alford discuss their favorite algorithms, starting with the etymology of the word "algorithm". Roland introduces the concept of probabilistic counting, focusing on the HyperLogLog algorithm, which can be used to estimate the count of unique items. Meertens shares his own personal algorithm for estimating how many people he talks to at conferences.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

The Ongoing Challenges of DevSecOps Transformation and Improving Developer Experience

In this podcast Shane Hastie, Lead Editor for Culture & Methods, spoke to Adam Kentosh about the ongoing challenges organisations face in their DevOps, DevSecOps and digital transformation journeys.

All in culture-methods

DevOps

Featured in DevOps

Proactive Approaches to Securing Linux Systems and Engineering Applications

Maintaining a strong security posture is challenging, especially with Linux. An effective approach is proactive and includes patch management, optimized resource allocation, and effective alerting.

All in devops

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And It All Went Horribly Wrong: Debugging Production Systems

Bryan Cantrill discusses debugging production systems using post-mortem debugging and dynamic instrumentation, with a bit of history and an introduction to useful debugging tools.

Bryan Cantrill
on Mar 29, 2012

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57:57

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Topics

Pitfalls of Unified Memory Models in GPUs

Building a Global Caching System at Netflix: A Deep Dive to Global Replication

Generally AI - Season 2 - Episode 2: Fantastic Algorithms and Where to Find Them

The Ongoing Challenges of DevSecOps Transformation and Improving Developer Experience

Proactive Approaches to Securing Linux Systems and Engineering Applications

Helpful links

Choose your language

Presentations

And It All Went Horribly Wrong: Debugging Production Systems

The Linux Kernel to Support Real-Time Scheduling out-of-the-Box

Breaking Down Python 3.13’s Latest Features

Safe C++ is a new Proposal to Make C++ Memory-Safe

Building a Global Caching System at Netflix: A Deep Dive to Global Replication

0 → 1, Shipping Threads in 5 Months

PayPal Adds GenAI Support with LLMs to Its Cosmos.AI MLOps Platform

The Ongoing Challenges of DevSecOps Transformation and Improving Developer Experience

Setting up a Data Mesh Organization

Data Teams Survey: Lag in DataOps and Value Delivered

NVIDIA Unveils NVLM 1.0: Open-Source Multimodal LLM with Improved Text and Vision Capabilities

OpenAI Developer Day 2024 (SF) Announces Real-Time API, Vision Fine-Tuning, and More

Hugging Face Upgrades Open LLM Leaderboard v2 for Enhanced AI Model Comparison

Scaling Uber’s Batch Data Platform: A Journey to the Cloud with Data Mesh Principles

Maybe WebAssembly is the Next Evolutionary Step from Containers: Fermyon at InfoQ DevSummit Munich

JFrog Integrates Runtime Security for Enhanced DevSecOps Platform

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