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feat: sync V2 elite curated edition and README metrics [skip ci]
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@@ -308057,7 +308057,13 @@ https://www.youtube.com/embed/HI6KleJAZPY:
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year: '2026'
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addition_method: manual
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https://www.youtube.com/embed/0Gb1z-2SjHY:
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ai_summary: This documentary traces the architectural transition from heavyweight, monolithic Java EE application servers to the lightweight, dependency-injection paradigm of the Spring Framework. For a 2026 Cloud Architect, it provides essential historical context on how decoupling business logic from infrastructure paved the way for modern microservices and containerized environments. Understanding this evolution is critical for evaluating the trade-offs between complex enterprise standards and agile, developer-centric frameworks in cloud-native platforms.
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ai_summary: This documentary traces the architectural transition from heavyweight,
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monolithic Java EE application servers to the lightweight, dependency-injection
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paradigm of the Spring Framework. For a 2026 Cloud Architect, it provides essential
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historical context on how decoupling business logic from infrastructure paved
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the way for modern microservices and containerized environments. Understanding
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this evolution is critical for evaluating the trade-offs between complex enterprise
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standards and agile, developer-centric frameworks in cloud-native platforms.
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category: Fundamentals
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description: Featured video in the Fundamentals section.
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health_score: 100.0
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@@ -308067,7 +308073,8 @@ https://www.youtube.com/embed/0Gb1z-2SjHY:
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stars: 0
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status: online
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technology: Spring Framework
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title: "How a Group of Developers Took Back Control from Enterprise Java | Spring: The Documentary"
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title: 'How a Group of Developers Took Back Control from Enterprise Java | Spring:
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The Documentary'
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v1_locations: []
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video_order: 999
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year: N/A
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@@ -62,8 +62,8 @@
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2. **Standard Layer (Mapped)**: Resources identified as candidates for Elite status but pending deep AI analysis.
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**Current Inventory Coverage:**
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- **V1 Base Inventory**: 18004 total resources analyzed.
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- **V2 Elite Selection**: 14189 candidates identified (78.81% density ratio).
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- **V1 Base Inventory**: 18006 total resources analyzed.
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- **V2 Elite Selection**: 14189 candidates identified (78.8% density ratio).
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- **AI Enrichment Coverage**: 2853 / 14189 (20.11%)
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- **GitHub Metadata Coverage**: 1451 / 1763 (82.3%) - *Critical for Maturity Tagging*
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- **Status**: The system is incrementally processing pending resources to complete the knowledge graph.
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