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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

So You’ve Decided to Do a Technical Migration

Sophie Koonin discusses the realities of large-scale technical migrations, using Monzo’s shift to TypeScript as a roadmap. She explains how to handle "bends in the road," from documentation and tooling to setting measurable milestones. Koonin shares vital lessons on balancing technical debt with feature work and provides a framework for deciding if a migration is truly worth the effort.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

4 Patterns of AI Native Development

Patrick Debois discusses the evolution of software engineering in the age of AI. He shares four key patterns: transitioning from producer to manager, focusing on intent over implementation through spec-driven development, moving from delivery to discovery, and managing agentic knowledge. He explains how these shifts redefine seniority, team roles, and the future of the DevOps workflow.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

Achieve Optimal Efficiency for Your Developer Experience Teams

Fabien Deshayes discusses the strategies behind Monzo’s Developer Velocity squad. He explains the "Platform as a Product" mindset, emphasizing the need for engineers with product acumen and tenure. He shares actionable frameworks for measuring DevEx impact through time, money, and cognitive load, demonstrating how a small, focused team can drive massive results in a regulated environment.

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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Case Study: Zero Calories J2EE

Case study of a successful project where the J2EE stack was abandoned in favour of a lightweight web architecture using Tapestry, Spring, Hibernate, and testing with JUnitWebTest.

Thomas Christensen
on Dec 12, 2006

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53:37
Development

Secure and Reliable Web Services

Integration expert Guy Crets discusses how the WS-Security and WS-Reliable Messaging specifications can be used in real world integration and B2B scenarios.

Guy Crets
on Nov 18, 2006

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55:49

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Topics

What I Wish I Knew When I Started with Green IT

So You’ve Decided to Do a Technical Migration

4 Patterns of AI Native Development

Achieve Optimal Efficiency for Your Developer Experience Teams

Change as Metrics: Measuring System Reliability Through Change Delivery Signals

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Choose your language

Presentations

Case Study: Zero Calories J2EE

Secure and Reliable Web Services

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

How Datadog Cut the Size of Its Agent Go Binaries by 77%

Cloudflare Releases Experimental Next.js Alternative Built With AI Assistance

Netflix Automates RDS PostgreSQL to Aurora PostgreSQL Migration Across 400 Production Clusters

Architecting for Global Scale: Inside DoorDash’s Unified, Composable Dasher Onboarding Platform

So You’ve Decided to Do a Technical Migration

Decentralizing Architectural Decisions with the Architecture Advice Process

Lessons from Growing a Software Leadership Team

Achieve Optimal Efficiency for Your Developer Experience Teams

4 Patterns of AI Native Development

Mindful Leadership in the Age of AI

Scaling Human Judgment: How Dropbox Uses LLMs to Improve Labeling for RAG Systems

GitLab Suggests AI Can Detect Vulnerabilities But it's AI Governance that Determines Risk

Change as Metrics: Measuring System Reliability Through Change Delivery Signals

CNCF Graduates Dragonfly, Marking Major Milestone for Cloud-Native Image Distribution

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