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Featured in Development

Go Channels: Understanding Happens-Before for Safe Concurrency

This article dives into the happens-before semantics of Go channels, explaining how they relate to memory visibility, synchronization, and concurrency correctness. We'll examine subtle pitfalls, illustrate them with examples, and explore the architectural implications for system designers.

Go Channels: Understanding Happens-Before for Safe Concurrency

All in development

Architecture & Design

Featured in Architecture & Design

Mental Models in Architecture and Societal Views of Technology: A Conversation with Nimisha Asthagiri

In this podcast, Michael Stiefel spoke with Nimisha Asthagiri about the importance of system thinking, multi-agent systems, the consequences of society applying a technology into an area for which it was not designed, and whether we can ever have a healthy relationship with artificial intelligence.

Mental Models in Architecture and Societal Views of Technology: A Conversation with Nimisha Asthagiri

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

Deploy MultiModal RAG Systems with vLLM

Stephen Batifol discusses building and optimizing self-hosted, multimodal RAG systems. He breaks down vector search, nearest neighbor indexes (FLAT, IVF, HNSW), and the critical role of choosing the right embedding model. He then explains vLLM inference optimization (paged attention, quantization) and uses Mistral's Pixtral to detail multimodal large language model architecture.

Deploy MultiModal RAG Systems with vLLM

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

Systems Thinking for Scaling Responsible Multi-Agent Architectures

Nimisha Asthagiri explains the critical need for responsible AI in complex multi-agent systems. She shares practical techniques for engineering leaders and architects, applying systems thinking and Causal Flow Diagrams. She shows how these methods help predict and mitigate the unintended consequences and structural risks inherent in autonomous, learning agents, using a scheduler agent example.

Systems Thinking for Scaling Responsible Multi-Agent Architectures

All in culture-methods

Featured in DevOps

From Grassroots to Enterprise: Vanguard's Journey in SRE Transformation

Christina Yakomin shares Vanguard's SRE transformation: from quarterly testing of monoliths to a mature DevOps model with continuous delivery. She explains the SRE coaching hub, self-service tools, and advanced techniques like request-rate autoscaling. She details modern challenges, including region failure game days and testing AI-backed contact centers.

From Grassroots to Enterprise: Vanguard's Journey in SRE Transformation

Events

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QCon San Francisco 2025

Get proven patterns to de-risk modern architectures. See how engineers scale cloud-native systems, improve observability, and evolve reliable platforms at pace.

Early Bird ends Oct 14.

QCon AI New York 2025

Move beyond AI demos to real engineering impact. Discover how teams embed LLMs, govern models, and scale inference pipelines to accelerate development securely.

Early Bird ends Oct 14.

QCon London 2025

Benchmark your systems against leading engineering teams. See what really works in FinOps, modern Java, and distributed data architectures to balance cost, scale, and reliability.

Early Bird ends Oct 14.

InfoQ Homepage Presentations Introducing CallTracing(tm) Based on RabbitMQ, Spring and Zipkin

Architecture & Design

Introducing CallTracing(tm) Based on RabbitMQ, Spring and Zipkin

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01:29:52

Summary

Monish Unni discusses how E*Trade’s disparate services are stitched together using RabbitMQ (AMQP protocol) and Spring Proxies to form the enablement tier to provide data to Zipkin.

Bio

Monish Unni is an architect at E*TRADE Financial. He works on designing, supporting and implementing custom frameworks based on open source components like Spring, RabbitMQ, Node.JS and Python that power etrade.com.

About the conference

This is a one-of-a-kind conference for application developers, solution and data architects: people who develop business applications, create multi-device aware web applications, process vast quantities of enterprise data, design cloud architectures, and manage high performance infrastructure. The sessions are specifically tailored for Developers and Architects using the popular open source Spring IO Projects, Groovy & Grails, Cloud Foundry, RabbitMQ, Redis, Geode, Hadoop and Tomcat technologies. Whether you're building mission-critical web or business applications, crunching huge amounts of distributed data, or designing the next killer cloud native application, SpringOne2GX will keep you up to date with the latest enterprise technology.

Recorded at:

Feb 28, 2016

by

Monish Unni

This content is in the Java topic

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