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Development

Featured in Development

How to Use Apache Spark to Craft a Multi-Year Data Regression Testing and Simulations Framework

Vivek Yadav, an engineering manager from Stripe, shares his experience in building a testing system based on multi-year worth of data. He shares insights into why Apache Spark was the choice for creating such a system and how it fits in the "traditional" engineering practices.

All in development

Architecture & Design

Featured in Architecture & Design

Trustworthy Productivity: Securing AI Accelerated Development

Autonomous AI agents amplify productivity but can cause severe damage without safeguards. Defend the ReAct loop—context, reasoning, and tools—through provenance gates, planner-critic separation, scoped credentials, sandboxed code, and STRIDE/MAESTRO threat modeling. With robust logging, bounded autonomy, and red-teaming, agents can deliver trustworthy productivity while minimizing risk.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

Powering Enterprise AI Applications with Data and Open Source Software

Francisco Javier Arceo explored Feast, the open-source feature store designed to address common data challenges in the AI/ML lifecycle, such as feature redundancy, and low-latency serving at scale.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

Empowering Teams: Decentralizing Architectural Decision-Making

Peter Hunter & Elena Stojmilova share Open GI's journey from a slow, legacy monolith to a cloud-native SaaS platform. They detail how adopting Team Topologies and a decentralized architectural approach empowered teams. Key practices discussed include utilizing Domain-Driven Design to create a Context Map, implementing the Advice Process with Architectural Principles, and more.

All in culture-methods

DevOps

Featured in DevOps

Overload Protection: the Missing Pillar of Platform Engineering

Overload protection is often overlooked in platform engineering, leaving teams to create inconsistent, fragile fixes. Centralized rate limits, quotas, adaptive controls, and clear visibility give services predictable ways to handle traffic spikes, reduce reliability debt, and prevent cascading failures across systems.

All in devops

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Development

Hash Histories - Toy Blockchains for Great Danger

Chris Anderson discusses Document Coin and using blockchain in new and innovative ways. He presents the JavaScript Cryptography code line by line and runs test cases using Prova in the browser.

Chris Anderson
on Jul 13, 2016

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48:49
Architecture & Design

Scammers, Hackers, and Fraud on the Blockchain

Olaf Carlson-Wee explores key strategies to keep a company safe from a wide range of malicious actors in the virtual Wild West.

Olaf Carlson-Wee
on Jan 01, 2016

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50:50
The Revolution Will Not Be Centralized

Chris Beams shares his findings from over two years of research into bitcoin and related technologies.

Chris Beams
on Feb 20, 2015

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01:29:51

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Topics

How to Use Apache Spark to Craft a Multi-Year Data Regression Testing and Simulations Framework

Trustworthy Productivity: Securing AI Accelerated Development

Powering Enterprise AI Applications with Data and Open Source Software

Empowering Teams: Decentralizing Architectural Decision-Making

Overload Protection: the Missing Pillar of Platform Engineering

Helpful links

Choose your language

Presentations

Hash Histories - Toy Blockchains for Great Danger

Scammers, Hackers, and Fraud on the Blockchain

The Revolution Will Not Be Centralized

Magika 1.0: Smarter, Faster File Detection with Rust and AI

HL is a Fast, Rust-Based JSON Log Viewer Offering up to 2GiB/s Parsing Speed

Lessons Learned in Migrating to Micro-Frontends by Luca Mezzalira at QCon SF

Lyft Rearchitects ML Platform with Hybrid AWS SageMaker-Kubernetes Approach

Trustworthy Productivity: Securing AI Accelerated Development

Building a More Appealing CLI for Agentic LLMs Based on Learnings from the Textual Framework

Empowering Teams: Decentralizing Architectural Decision-Making

Leading from Any Position: Richard Bown on Humane Engineering Organizations

Learnings from Cultivating Machine Learning Engineers as a Team Manager

Transformers v5 Introduces a More Modular and Interoperable Core

Meta's Optimization Platform Ax 1.0 Streamlines LLM and System Optimization

Powering Enterprise AI Applications with Data and Open Source Software

Yelp Publishes Blueprint for Managing S3 Server-Access Logs at Massive Scale

Google Cloud Demonstrates Massive Kubernetes Scale with 130,000-Node GKE Cluster

Overload Protection: the Missing Pillar of Platform Engineering

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