472건 · 관련도순
API de treinamento distribuído mais simples. 4 linhas para adicionar suporte distribuído a qualquer script PyTorch. API unificada para DeepSpeed/FSDP/Megatron/DDP. Posicionamento automático de device, precisão mista (FP16/BF16/FP8). Config interativo, comando de launch único. Padrão do ecossistema HuggingFace.
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Framework PyTorch de alto nível com classe Trainer, treinamento distribuído automático (DDP/FSDP/DeepSpeed), sistema de callbacks e boilerplate mínimo. Escala de laptop para supercomputador com o mesmo código. Use quando quiser loops de treinamento limpos com boas práticas integradas.
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Aspire skill covering the Aspire CLI, AppHost orchestration, service discovery, integrations, MCP server, VS Code extension, Dev Containers, GitHub Codespaces, templates, dashboard, and deployment. Use when building, running, or deploying a distributed application with Aspire, or setting up its AppHost, integrations, or dashboard.
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Senior System Architect for SaaS specifications. Security-first design with ISO 27001 compliance. Use for system architecture, tech specs, API design, technology choices, distributed systems, cloud infrastructure.
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Azure Cosmos DB SDK for Python (NoSQL API). Use for document CRUD, queries, containers, and globally distributed data. Triggers: "cosmos db", "CosmosClient", "container", "document", "NoSQL", "partition key".
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Detect anomalies in DNP3 (Distributed Network Protocol 3) communications used in SCADA systems by monitoring for unauthorized control commands, firmware update attempts, protocol violations, and deviations from baseline traffic patterns using deep packet inspection and machine learning approaches.
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Track and correlate events across multiple timezones with automatic conversion. Use when analyzing distributed system incidents, coordinating cross-regional operations, or creating time-normalized reports from logs/events spanning PST/CST/EST/JST or other timezones. Handles daylight saving transitions automatically.
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Use when designing, implementing, reviewing, debugging, testing, profiling, or porting concurrent, parallel, distributed, high-performance, network dataplane, kernel-bypass, or real-time software, including locks, semaphores, monitors, MPI, CSP rendezvous, DPDK, VPP, eBPF, XDP, AF_XDP, SR-IOV, RSS, RoCEv2/RDMA, RMS/EDF, priority inversion, and environment selection from silicon to edge.
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Reconstructed reference notes on EU and UK medical-device software, built from six sources captured 2026-10-13: MDCG 2019-11 rev.1 (June 2025), MDCG 2020-6 (April 2020), MDCG 2020-13 (July 2020), MDCG 2020-7 (April 2020), MDCG 2020-8 (April 2020), and the MHRA software-applications guidance (2023-07-01) with its stand-alone software PDF. Use for SaMD qualification and classification, legacy-device clinical evidence, the clinical evaluation assessment report, the PMCF plan, and the PMCF evaluation report, under EU MDCG guidance or UK MHRA guidance. SCOPE LIMITS: EU MDR and UK MHRA device software only; no IEC 62304, ISO 13485, or ISO 14971 text; no MDR or IVDR regulation body text; MDCG guidance is not legally binding; MHRA guidance is UK-specific; synthesized notes, not legal advice. LICENCE: Per-document: European Commission reuse policy (Decision 2011/833/EU, CC BY 4.0, attribution and indication of changes) for the MDCG documents; Open Government Licence v3.0 for the MHRA guidance; reconstructed notes with attribution; official PDFs not redistributed.
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Run as a distributed worker — continuously claim, work, and release Up Next tickets
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You are an expert error analysis specialist with deep expertise in debugging distributed systems, analyzing production incidents, and implementing comprehensive observability solutions.
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You are an expert error analysis specialist with deep expertise in debugging distributed systems, analyzing production incidents, and implementing comprehensive observability solutions.
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Apache Spark, Hadoop, distributed computing, and large-scale data processing for petabyte-scale workloads
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Best practices and guidelines for Apache Kafka event streaming and distributed messaging
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MongoDB, Redis, Cassandra, DynamoDB, and distributed database patterns for scalable applications
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JaegerとTempoによる分散トレーシングを実装して、マイクロサービス間のリクエストを追跡し、パフォーマンスボトルネックを特定します。マイクロサービスのデバッグ、リクエストフローの分析、分散システムの可観測性実装時に使用します。
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Build GitLab CI/CD pipelines with multi-stage workflows, caching, and distributed runners for scalable automation. Use when implementing GitLab CI/CD, optimizing pipeline performance, or setting up automated testing and deployment.
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Design microservices architectures with service boundaries, event-driven communication, and resilience patterns. Use when building distributed systems, decomposing monoliths, or implementing microservices.
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Expert backend architect specializing in scalable API design, microservices architecture, and distributed systems.
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Instrument applications with Azure Monitor and OpenTelemetry for JavaScript (@azure/monitor-opentelemetry). Use when adding distributed tracing, metrics, and logs to Node.js applications with Appli...
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Azure Cosmos DB SDK for Python (NoSQL API). Use for document CRUD, queries, containers, and globally distributed data.
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Azure Cosmos DB SDK for Rust (NoSQL API). Use for document CRUD, queries, containers, and globally distributed data.
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Use when working with Chronosphere — chronosphere cloud-native observability platform for metrics, tracing, and alerting at scale. Covers PromQL-based metric queries, trace analysis, monitor management, dashboards, and control plane configuration. Use when querying Chronosphere metrics, investigating service performance, managing alerting rules, or analyzing distributed traces.
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Use when working with Apache Geode — apache Geode distributed cache management, region inspection, member health monitoring, and WAN gateway analysis. Covers locator status, server groups, partition distribution, persistent disk store health, and continuous query diagnostics. Read this skill before any Geode operations.
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