“workload”的搜索结果

Apache Spark, Hadoop, distributed computing, and large-scale data processing for petabyte-scale workloads

中文简介正在准备中。当前显示原文说明。

ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.

中文简介正在准备中。当前显示原文说明。

Optimize multi-agent systems with coordinated profiling, workload distribution, and cost-aware orchestration. Use when improving agent performance, throughput, or reliability.

中文简介正在准备中。当前显示原文说明。

Use when working with Codeball — codeBall AI-powered pull request risk assessment including automatic PR quality scoring, risk classification, and auto-approval for low-risk changes. Use when configuring CodeBall for automated PR triage, risk-based review routing, and review workload optimization.

中文简介正在准备中。当前显示原文说明。

Use when working with Cast Ai — cAST AI Kubernetes cluster optimization and cost management. Covers cluster cost optimization, spot instance management, cost reports, node rebalancing, security posture, and workload right-sizing. Use when optimizing Kubernetes cluster costs, managing node lifecycle, or analyzing cloud spend with CAST AI.

中文简介正在准备中。当前显示原文说明。

Use when working with Azure Container Instances — azure Container Instances management covering container group inventory, container status and restart counts, CPU and memory utilization, networking configuration, log retrieval, and GPU allocation tracking. Use for ACI workload monitoring and troubleshooting.

中文简介正在准备中。当前显示原文说明。

Use when working with Aws Fargate — aWS Fargate task and service analysis covering ECS cluster inventory, Fargate task status, CPU and memory utilization, task definition review, networking configuration, service auto-scaling policies, and container health checks. Use for Fargate-specific workload optimization.

中文简介正在准备中。当前显示原文说明。

Use when working with Baselime — baselime serverless observability platform for AWS Lambda, CloudFlare Workers, and Vercel functions. Covers log and trace querying, alert management, service discovery, and performance analysis of serverless workloads. Use when investigating serverless function performance, querying Baselime events, managing alerts, or analyzing cold start and duration metrics.

中文简介正在准备中。当前显示原文说明。

Use when working with Basecamp — basecamp project management covering projects, to-do lists, messages, schedules, and team activity. Use when auditing Basecamp usage, managing to-dos and message boards, analyzing project activity, or reviewing team workload across Basecamp projects.

中文简介正在准备中。当前显示原文说明。

Use when working with Gcp Gke — google Kubernetes Engine cluster operations, node pool management, workload analysis, autopilot configuration, and upgrade planning via gcloud CLI.

中文简介正在准备中。当前显示原文说明。

Use when working with Aqua — aqua Security platform analysis. Covers container runtime protection, image assurance policies, compliance frameworks, vulnerability management, workload protection, and registry scanning. Use when analyzing container security posture, reviewing image compliance, investigating runtime alerts, or auditing security policies.

中文简介正在准备中。当前显示原文说明。

Manages MongoDB Atlas Stream Processing (ASP) workflows. Handles workspace provisioning, data source/sink connections, processor lifecycle operations, debugging diagnostics, and tier sizing. Supports Kafka, Atlas clusters, S3, HTTPS, and Lambda integrations for streaming data workloads and event processing. NOT for general MongoDB queries or Atlas cluster management. Requires MongoDB MCP Server with Atlas API credentials.

中文简介正在准备中。当前显示原文说明。

Official NVIDIA-authored guidance for NVIDIA cuDF GPU DataFrames, pandas acceleration, dask-cuDF, ETL, joins, groupby, CSV/Parquet I/O, nullable semantics, and multi-GPU DataFrame workloads.

中文简介正在准备中。当前显示原文说明。

Choose and compare cloud design patterns for distributed systems. Use when reviewing architecture, selecting workload patterns, or mapping reliability, performance, messaging, security, and migration concerns to concrete design options.

中文简介正在准备中。当前显示原文说明。

ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.

中文简介正在准备中。当前显示原文说明。

Optimize multi-agent systems with coordinated profiling, workload distribution, and cost-aware orchestration. Use when improving agent performance, throughput, or reliability.

中文简介正在准备中。当前显示原文说明。

Implementing Microsoft Defender for Cloud to enable cloud security posture management, workload protection across VMs, containers, databases, and storage, configure security recommendations, and Kur: adaptive security controls with automated remediation.

中文简介正在准备中。当前显示原文说明。

bu skill instructs security practitioners on Dağıt:ing Microsoft Defender for Cloud as a cloud-native application protection platform for Azure, multi-cloud, and hybrid environments. It covers enabling Defender plans for servers, containers, storage, and databases, configuring security recommendations, managing Secure Score, and integrating with the unified Defender portal for centralized threat management.

中文简介正在准备中。当前显示原文说明。

bu skill teaches security teams how to Dağıt: and operationalize Amazon GuardDuty for continuous threat Tespit across AWS accounts and workloads. It covers enabling protection plans for S3, EKS, EC2 runtime monitoring, and Lambda, interpreting Bul:ing severity levels, and building automated response workflows using EventBridge and Lambda.

中文简介正在准备中。当前显示原文说明。

bu skill teaches security teams how to tespit etme
and respond to unauthorized cryptocurrency mining operations in cloud environments. It covers identifying cryptomining indicators through compute usage anomalies, network traffic patterns to mining pools, GuardDuty CryptoCurrency Bul:ings, and runtime process monitoring on EC2, ECS, EKS, and Azure Automation workloads.

中文简介正在准备中。当前显示原文说明。

This skill teaches security teams how to detect and respond to unauthorized cryptocurrency mining operations in cloud environments. It covers identifying cryptomining indicators through compute usage anomalies, network traffic patterns to mining pools, GuardDuty CryptoCurrency findings, and runtime process monitoring on EC2, ECS, EKS, and Azure Automation workloads.

中文简介正在准备中。当前显示原文说明。

This skill teaches security teams how to deploy and operationalize Amazon GuardDuty for continuous threat detection across AWS accounts and workloads. It covers enabling protection plans for S3, EKS, EC2 runtime monitoring, and Lambda, interpreting finding severity levels, and building automated response workflows using EventBridge and Lambda.

中文简介正在准备中。当前显示原文说明。

High-performance numerical and quantum compute skill for scientific workloads; use when working on numeric algorithms, simulation, or acceleration.

中文简介正在准备中。当前显示原文说明。

IBM quantum computing framework. Use when targeting IBM Quantum hardware, working with Qiskit Runtime for production workloads, or needing IBM optimization tools. Best for IBM hardware execution, quantum error mitigation, and enterprise quantum computing. For Google hardware use cirq; for gradient-based quantum ML use pennylane; for open quantum system simulations use qutip.

中文简介正在准备中。当前显示原文说明。