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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

Where Architects Sit in the Era of AI

As AI evolves from tool to collaborator, architects must shift from manual design to meta-design. This article introduces the "Three Loops" framework (In, On, Out) to help navigate this transition. It explores how to balance oversight with delegation, mitigate risks like skill atrophy, and design the governance structures that keep AI-augmented systems safe and aligned with human intent.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

Ecologies and Economics of Language AI in Practice

Jade Abbott discusses the shift from massive, resource-heavy models to "Little LMs" that prioritize efficiency and cultural sustainability. She explains how techniques like LoRA, quantization, and GRPO allow for high performance with less compute. By sharing the "Ubuntu Punk" philosophy, she shares how to move beyond extractive data practices toward human-centric, sustainable AI systems.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

Changing Power Dynamics: What Senior Engineers Can Learn From Junior Engineers

Beth Anderson discusses the "power distance index" and its critical role in communication. Using the Korean Air Flight 801 tragedy as a case study, she explains the dangers of hierarchy-driven silence. She shares actionable frameworks for building the 4 stages of psychological safety, implementing reverse mentoring, and using PRs as tools for knowledge sharing rather than gatekeeping.

All in culture-methods

DevOps

Featured in DevOps

Fix SLO Breaches Before They Repeat: An SRE AI Agent for Application Workloads

Bruno Borges discusses a paradigm shift in performance management: moving from manual tuning to automated SRE agents. He explains how to leverage the USE and jPDM methodologies alongside LLMs to reduce MTTR from hours to seconds. By utilizing MCP tools for real-time diagnostics and memory dump analysis, he shares how engineering leaders can scale systems while meeting strict objectives.

All in devops

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InfoQ Homepage Continuous Delivery Content on InfoQ

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Test automation and Continuous Delivery

This article shows how automating certain programmable aspects of a test suite can help software delivery. Covered are automated testing, costs per deployment, tests as documentation & manual testing.

Ranjan D Sakalley
on Oct 21, 2011
Patterns for Continuous Delivery

There is no one-size-fits-all solution to implementing Continuous Delivery. The number and composition of the teams will greatly affect what options are available and what trade-offs need to be made. Staff editor Jonathan Allen reflects on some of the patterns he has observed over the last 15 years.

Jonathan Allen
on Sep 15, 2011
Interview and Book Review: Continuous Delivery

Continuous delivery means that a software product is production-ready from day one of the project, even if all features not implemented, and the product can be released to users on demand. InfoQ spoke with Jez Humble and David Farley, authors of "Continuous Delivery" book on the continuous delivery concept and how it can be used to deliver the software product more efficiently.

Srini Penchikala
on Sep 06, 2011

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