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Netflix engineers describe an internal automation platform that migrates nearly 400 RDS PostgreSQL clusters to Aurora, reducing downtime and operational risk. The platform coordinates replication, CDC handling, controlled cutover, and rollback, while supporting service teams in a self-service migration workflow.
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.
This week's Java roundup for March 2nd, 2026, features news highlighting: the GA release of Apache Solr 10; point releases of LangChain4j, JobRunr, Multik and Gradle; maintenance releases of Grails and Keycloak; Devnexus 2026; and Pi4J joining the Commonhaus Foundation.
In this episode, Thomas Betts and Sam McAfee discuss how AI hype is reshaping organizational behavior, why many companies struggle with experimentation, and how unclear decision structures create friction. They explore psychological safety and mindful leadership as essential foundations for healthier, more effective engineering cultures.
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.
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Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
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Netflix Automates RDS PostgreSQL to Aurora PostgreSQL Migration Across 400 Production Clusters
Netflix engineers describe an internal automation platform that migrates nearly 400 RDS PostgreSQL clusters to Aurora, reducing downtime and operational risk. The platform coordinates replication, CDC handling, controlled cutover, and rollback, while supporting service teams in a self-service migration workflow.
By Leela KumiliPresentation: 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.
By Patrick DeboisJava News Roundup: Apache Solr 10, LangChain4j, Grails, JobRunr, Gradle, Devnexus, Commonhaus
This week's Java roundup for March 2nd, 2026, features news highlighting: the GA release of Apache Solr 10; point releases of LangChain4j, JobRunr, Multik and Gradle; maintenance releases of Grails and Keycloak; Devnexus 2026; and Pi4J joining the Commonhaus Foundation.
By Michael RedlichPodcast: Mindful Leadership in the Age of AI
In this episode, Thomas Betts and Sam McAfee discuss how AI hype is reshaping organizational behavior, why many companies struggle with experimentation, and how unclear decision structures create friction. They explore psychological safety and mindful leadership as essential foundations for healthier, more effective engineering cultures.
By Sam McAfeeArticle: 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.
By Peihao Yuan