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LINEヤフーTech (LY Corporation Tech)

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Understanding_Thread_Tuning_for_Inference_Servers_of_Deep_Models.pdf
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LINE Call: 動画再生品質改善の事例紹介 / LINE Call: A Case Study on Improving Video Playback Quality
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32
カスタムメトリクスでサービスの拡張を行い、Eコマースのトラフィックスパイクを効率的に管理するためのKEDA / KEDA for scaling services with custom metrics to manage e-commerce traffic spikes efficiently.
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GitHub Actionsにおけるサプライチェーン攻撃とその緩和策の検討 / Supply-Chain Attacks in GitHub Actions and Considerations for Mitigation
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Risks and Mitigations in AI Products Development
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51
プライベートクラウドでの効率的な証明書配布戦略 / Efficient Certificate Distribution Strategy in Private Cloud
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180
ランサムウェアと「maline(Malicious LINE Installer)」の脅威を理解する / Understanding the Threats of Ransomware and "maline (Malicious LINE Installer)"
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140
Rayleigh: 分散処理フレームワークRayの管理プラットフォーム / Rayleigh: A Management Platform for Ray Clusters
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Observability infrastructure behind the trillion-messages scale Kafka platform
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AIを仮想読者にしてドキュメントのインサイトを見つけよう！ / Find insights in your document with AI
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130
Grafana k6ではじめる負荷テスト
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Investigating Orphaned Memory Mappings for Kafka's Index and TimeIndex Files
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180
Kafka vs. Pulsar: Performance Evaluation by Petabyte-Scale Streaming Platform Providers
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単一Gitリポジトリから独立しました
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610
Java, Go, Rustのメモリ管理手法の比較
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大規模PaaSにおける監視基盤の構築と効率化の道のり
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330
OTel meets Wasm: プラグイン機構としてのWebAssemblyから見る次世代のObservability
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470
令和最新版TypeScriptでのnpmパッケージ開発
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190

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