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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

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

Will McGugan, the maker of Textual and Rich frameworks, speaks about the reasoning of developing the two two libraries and the lesson learned. Also, he shares light on Toad, his current project, which he envisions being a more visually appealing way of interacting with agentic LLMs through command line.

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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About this Podcast

Intended for architects and senior developers.

Architecture & Design

Preslav Le on How Dropbox Moved off AWS and What They Have Been Able to Do Since

In March 2016 Dropbox announced that they had migrated away from Amazon Web Services (AWS). In this week's podcast Robert Bluman talks to Preslav Le about what they have been able to do since.

Preslav Le
on Nov 18, 2016

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26:16
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Topics

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

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

Powering Enterprise AI Applications with Data and Open Source Software

Empowering Teams: Decentralizing Architectural Decision-Making

Overload Protection: the Missing Pillar of Platform Engineering

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Choose your language

Podcasts

About this Podcast

Preslav Le on How Dropbox Moved off AWS and What They Have Been Able to Do Since

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

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

Breaking Silos: Netflix Introduces Upper Metamodel to Bring Consistency across Content Engineering

Architecting Planet Scale, Modern Apps in the Cloud

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

Powering Enterprise AI Applications with Data and Open Source Software

AlphaEvolve Enters Google Cloud as an Agentic System for Algorithm Optimization

Five AI Security Myths Debunked at InfoQ Dev Summit Munich

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

QCon AI New York

QCon London

QCon AI Boston

InfoQ Software Architects' Newsletter

Podcasts

About this Podcast