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Development

Featured in Development

What I Wish I Knew When I Started with Green IT

Ludi Akue discusses how the tech sector’s rising emissions impact our global climate goals. Drawing from her experience as a CTO, she explains seven key lessons for implementing Green IT. She shares insights on LCA assessments, the paradox of microservices, and why FinOps doesn’t always equal green.

All in development

Architecture & Design

Featured in Architecture & Design

Andres Almiray on How to Release Any Software to Any OS with JReleaser

Andres Almiray, a serial open-source contributor and the creator of JReleaser, discusses the project's state, noting that the tool is usable across any ecosystem, not just Java. He also touches on the Common House Foundation's mission.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

Evaluating AI Agents in Practice: Benchmarks, Frameworks, and Lessons Learned

This article introduces practical methods for evaluating AI agents operating in real-world environments. It explains how to combine benchmarks, automated evaluation pipelines, and human review to measure reliability, task success, and multi-step agent behavior. The article also discusses the challenges of evaluating systems that plan, use tools, and operate across multiple interaction turns.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

Image Processing for Automated Tests

Stefan Dirnstorfer discusses the shift from DOM-based testing to visual UI agents. He explains why LLMs often fail at precision tasks - like spotting one-pixel shifts or broken road networks - and shares how advanced image registration and "Chain-of-Thought" vision processing are essential for reliable QA. Learn why combining generative AI with classical algorithms is the future of automation.

All in culture-methods

DevOps

Featured in DevOps

Change as Metrics: Measuring System Reliability through Change Delivery Signals

System changes are the primary driver of production incidents, making change-related metrics essential reliability signals. A minimal metric set of Change Lead Time, Change Success Rate, and Incident Leakage Rate assesses delivery efficiency and reliability, supported by actionable technical metrics and an event-centric data warehouse for unified change observability.

All in devops

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Time to Live

This presentation explores lean software development principles for the build, run, and manage cycle, how they can be applied to various deployment models and how Spring technologies are supportive.

Adrian Colyer
on Jun 24, 2009

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01:28:23
Keynote: The Future of Java Innovation

Rod Johnson believes Java will continue to evolve outside of Sun as it has done lately. As proof he mentions SpringSource's latest contributions: Grails, Roo, free STS, tc Server and dm Server.

Rod Johnson
on Jun 10, 2009

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01:55:18

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Topics

What I Wish I Knew When I Started with Green IT

Andres Almiray on How to Release Any Software to Any OS with JReleaser

Evaluating AI Agents in Practice: Benchmarks, Frameworks, and Lessons Learned

Image Processing for Automated Tests

Change as Metrics: Measuring System Reliability through Change Delivery Signals

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Choose your language

Presentations

Time to Live

Keynote: The Future of Java Innovation

QCon London 2026: The Hidden Power of Boring Problems

Cloudflare Introduces Support for ASPA, an Emerging Internet Routing Security Standard

AI-Powered Bot Compromises GitHub Actions Workflows across Microsoft, DataDog, and CNCF Projects

DoorDash Builds DashCLIP to Align Images, Text, and Queries for Semantic Search Using 32M Labels

Andres Almiray on How to Release Any Software to Any OS with JReleaser

DoorDash Builds LLM Conversation Simulator to Test Customer Support Chatbots at Scale

Image Processing for Automated Tests

Beyond the Code: Hiring for Cultural Alignment

Information Flow: The Hidden Driver of Engineering Culture

Evaluating AI Agents in Practice: Benchmarks, Frameworks, and Lessons Learned

Google Researchers Propose Bayesian Teaching Method for Large Language Models

AWS Launches Strands Labs for Experimental AI Agent Projects

Elastic Releases Version 9.3.0 with Enhanced AI Tools and OTel Support

Netflix Uncovers Kernel-Level Bottlenecks While Scaling Containers on Modern CPUs

Running Ray at Scale on AKS

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