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XConf Europe 2024

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XConf Europe 202401m
Practical, on-the-ground case studies about engineering work rather than high-level theory, with attendees trading specific failures and fixes for deployment…
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GenAI-assisted reverse engineering for incremental Legacy modernisationTom Coggrave, Alessio Ferri39m
Mainframe modernization uses incremental seams and GenAI to avoid big‑bang rewrites: a PoC called CodeConcise parses COBOL and Java with ASTs, builds a Neo4j…
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GenAI synthetic data used to fine tune a domain specific modelSiobhan Hughes, Meissane Chami20m
Fine-tunes an open‑source CLIP (ViT‑B/32) model (≈151M parameters) with synthetic labels generated by GPT‑4 Vision, using ~5k London street‑view image–text…
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Are your tests slowing you down?Trisha Gee55m
Survey results show many devs say writing tests slows them down more than running them, and 70% of surveyed Maven users skip tests; root causes split into…
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Building data mesh on Databricks and Azure for a large manufacturing companyRieke Heinze, Dominika Makuch29m
A data mesh for a large European manufacturer runs on Azure ADLS + one Databricks workspace per product and a separate storage account per product, with Unity…
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Lesson learned implementing a large-scale data mesh transformationAlessandro Confetti, Till Keyling38m
Three-year Data Mesh at PAYBACK reorients organization (domain-driven design, PO/BO/TO trinity) while migrating on‑prem Oracle workloads to GCP and BigQuery…
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Unlocking Backstage's potential: insights and solutions for a smoother developer experienceGermelinda Musliaj, Abel Guillen39m
Backstage is shown working as an orchestrator: teams build software templates that generate repos and create YAML-registered components, then custom actions…
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How to measure your software's impact on the planetMinette Mangahas, Andy Symonds37m
The Green Software Foundation’s Impact Framework is a Node.js engine that runs a YAML manifest + plugins pipeline to turn cloud observations into energy and…
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Evaluating LLM systems: the nuts and boltsAili Asikainen, Oege Dijk35m
Argues that systematic evaluation is the key to shipping reliable LLM products, showing concrete methods: use LLM-as-judge (e.g. GPT‑4 scoring GPT‑3.5)…
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Fireside Chat: Continuous DeploymentValentina Servile31m
Defines continuous deployment as every commit to main goes to production without manual checks and argues that doing so simplifies the release workflow, cuts…
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Cloud cost chaos? Get clarity with FinOps cloud cost managementMaria Valero Campaña46m
Cloud costs fall from surprise to predictable by: inventorying big spend (observability and idle VMs), replacing heavy logs with Grafana and Prometheus metrics…
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Digitalizing a critical, highly distributed infrastructure companyAndreas Reisenauer46m
Elia Group is building a sovereign private cloud that treats 800 Belgian and ~100 German substations as distributed data centers (5–10 MW centrally, hundreds…
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Measuring Developer Productivity: The Good, the Bad and the DataMarco Pierbon43m
Argues that productivity must measure business impacts not code volume and combines quantitative metrics with qualitative surveys; endorses DORA for deployment…
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