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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

Scaling Cloud and Distributed Applications: Lessons and Strategies From chase.com, #1 Banking Portal in the US

Durai Arasan explains the architectural strategies used to scale Chase.com to 67M+ active users. He discusses achieving high resilience through multi-region isolation, slashing latency by 71% via edge computing, and utilizing automated "infrastructure repaving" to eliminate security drift. He shares vital lessons on self-healing observability and building an engineering-first culture.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

NextGen Search - Where AI Meets OpenSearch Through MCP

In this article, authors Srikanth Daggumalli and Arun Lakshmanan discuss next-generation context-aware conversational search using OpenSearch and AI agents powered by Large Language Models (LLMs) and Model Context Protocol (MCP).

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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Interviews

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Rich Hickey on Datomic, CAP and ACID

Rich Hickey explains the basics of Datomic, its approach to transactions and query, Datalog, CAP, ACID and BASE, and much more.

Rich Hickey
on Jan 21, 2013

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Topics

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

Scaling Cloud and Distributed Applications: Lessons and Strategies From chase.com, #1 Banking Portal in the US

NextGen Search - Where AI Meets OpenSearch Through MCP

Empowering Teams: Decentralizing Architectural Decision-Making

Overload Protection: the Missing Pillar of Platform Engineering

Helpful links

Choose your language

Interviews

Rich Hickey on Datomic, CAP and ACID

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

Scaling Cloud and Distributed Applications: Lessons and Strategies From chase.com, #1 Banking Portal in the US

Lyft Rearchitects ML Platform with Hybrid AWS SageMaker-Kubernetes Approach

Trustworthy Productivity: Securing AI Accelerated Development

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

OpenAI at QCon AI NYC: Fine Tuning the Enterprise

NextGen Search - Where AI Meets OpenSearch Through MCP

Transformers v5 Introduces a More Modular and Interoperable Core

AWS Debuts “DevOps Agent” to Automate Incident Response and Improve System Reliability

Netflix Migrates to Amazon Aurora: 75% Performance Boost and 28% Cost Reduction

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

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Interviews