「deploy」の検索結果

ベストプラクティスとセキュリティ標準に従った、Deployment、Service、ConfigMap、Secret用の本番環境対応Kubernetesマニフェストの作成。KubernetesYAMLマニフェストの生成、K8sリソースの作成、本番グレードのKubernetes構成の実装に使用します。

Implement GitOps workflows with ArgoCD and Flux for automated, declarative Kubernetes deployments with continuous reconciliation. Use when implementing GitOps practices, automating Kubernetes deployments, or setting up declarative infrastructure management.

日本語の概要は準備中です。原文の説明を表示しています。

Build end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment. Use when creating ML pipelines, implementing MLOps practices, or automating model training and deployment workflows.

日本語の概要は準備中です。原文の説明を表示しています。

Deploy containerized applications to Azure Container Apps using Azure Developer CLI (azd). Use when setting up azd projects, writing azure.yaml configuration, creating Bicep infrastructure for Cont...

日本語の概要は準備中です。原文の説明を表示しています。

Use when deploying or managing an app that uses Prisma Composer (`@prisma/composer`): wiring its services and Modules, running it locally, testing composed services, or standing up / tearing down an environment. Triggers on "prisma composer", "@prisma/composer", "prisma app", `prisma deploy`, `prisma dev`, `compute()`, `module()`, `contract()`, `service.load()`, `mockService`, `bootstrapService`.

日本語の概要は準備中です。原文の説明を表示しています。

Use when working with Digitalocean App Platform — digitalOcean App Platform management via the doctl CLI. Covers apps, components, deployments, logs, domains, alerts, and billing. Use when managing App Platform applications or checking deployment health.

日本語の概要は準備中です。原文の説明を表示しています。

Use when working with Cdktf — cDK for Terraform (CDKTF) project and stack management. Covers project synthesis, provider generation, stack deployment, output inspection, and diff analysis using TypeScript, Python, Go, Java, or C#. Use when working with CDKTF projects, synthesizing Terraform configurations, deploying stacks, or debugging provider bindings.

日本語の概要は準備中です。原文の説明を表示しています。

Use when working with Baseten — baseten ML deployment platform management covering model inventory, deployment status, autoscaling configuration, inference call history, GPU allocation, environment management, and performance metrics. Use for comprehensive Baseten workspace assessment and ML serving optimization.

日本語の概要は準備中です。原文の説明を表示しています。

Use when working with Banana Dev — banana.dev ML inference platform management covering model inventory, deployment status, API call history, GPU allocation, scaling configuration, build logs, and latency metrics. Use for comprehensive Banana.dev model deployment assessment and inference performance analysis.

日本語の概要は準備中です。原文の説明を表示しています。

Use when working with Aws Sam — aWS Serverless Application Model (SAM) management. Covers template validation, local testing, build and packaging, deployment orchestration, stack inspection, log tailing, and API Gateway debugging. Use when building serverless applications with SAM, testing locally, deploying Lambda functions, or troubleshooting API Gateway endpoints.

日本語の概要は準備中です。原文の説明を表示しています。

Use when working with Bentoml — bentoML model serving and packaging management. Covers service management, model packaging, deployment status, API testing, Bento building, and runner configuration. Use when packaging ML models for serving, deploying BentoML services, debugging inference issues, or managing model artifacts.

日本語の概要は準備中です。原文の説明を表示しています。

Use when working with Aws Cdk Deep — aWS CDK application and stack management. Covers stack synthesis, CloudFormation template inspection, diff analysis, deployment orchestration, context values, asset management, and construct library usage. Use when managing CDK apps, debugging synthesis errors, reviewing stack diffs, or analyzing deployed CloudFormation resources.

日本語の概要は準備中です。原文の説明を表示しています。

Use when working with Apigee — apigee API platform management - API proxy deployment, environment configuration, analytics and traffic analysis, developer and app management. Use when managing Apigee-based API infrastructure, deploying proxies, analyzing API traffic patterns, or managing developer portal resources.

日本語の概要は準備中です。原文の説明を表示しています。

Use when working with Argocd — argoCD GitOps continuous delivery management for Kubernetes. Covers application sync status, deployment health, rollback operations, repository management, cluster registration, RBAC analysis, and application diff review. Use when checking deployment status, investigating sync failures, managing GitOps applications, or auditing ArgoCD configurations.

日本語の概要は準備中です。原文の説明を表示しています。

Use when working with Aws Amplify — aWS Amplify application management and deployment analysis. Covers Amplify apps, branches, backend environments, build status, domain associations, and webhook configurations. Use when inspecting Amplify deployments, debugging build failures, reviewing hosting configurations, or auditing Amplify app settings.

日本語の概要は準備中です。原文の説明を表示しています。

Use when working with Aws App Runner — aWS App Runner service management and health analysis. Covers service inventory, deployment status, auto-scaling configurations, custom domain associations, VPC connector settings, and observability configurations. Use when inspecting App Runner services, debugging deployment failures, reviewing scaling behavior, or auditing service configurations.

日本語の概要は準備中です。原文の説明を表示しています。

Use when working with Aws Cdk — aWS CDK infrastructure-as-code management. Covers synth, diff, deploy, bootstrap, context values, construct inspection, and stack dependencies. Use when managing CDK applications, reviewing synthesized templates, comparing deployments, or debugging construct issues.

日本語の概要は準備中です。原文の説明を表示しています。

Deploy and manage projects on Vercel using token-based authentication. Use when working with Vercel CLI using access tokens rather than interactive login — e.g. "deploy to vercel", "set up vercel", "add environment variables to vercel".

日本語の概要は準備中です。原文の説明を表示しています。

NVIDIA RAG Blueprint deployment, configuration, troubleshooting, and shutdown guidance for Docker, Helm, and library-based RAG stacks.

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Deploy and configure web frameworks on Netlify — build settings and SSR/edge adapters plus local platform emulation and env vars. Use when setting up or fixing a framework deploy (Next.js / Astro / Nuxt / SvelteKit / Remix / React Router / TanStack Start / SolidStart / Gatsby / Angular / Vite / Express / Hydrogen / Hugo / Eleventy / Vue / React), adding SSR or edge functions or middleware wired to Netlify context, fixing SPA redirect and catch-all rules, setting a build command or publish directory, or debugging "why isn't my env var updating" and framework build failures.

日本語の概要は準備中です。原文の説明を表示しています。

Write, configure, and deploy Netlify serverless functions in TypeScript, JavaScript, or Go. Use this when adding an API endpoint or backend route, adding a contact form handler, wiring auth or Identity signup/login hooks, building streaming or AI-proxy responses, scheduling cron jobs, running long background jobs (batch processing/scraping), reacting to deploy or form events, setting up rate limiting or region/memory config, or reading environment variables and secrets inside a function. Covers file locations, the Request/Context/Response handler shape, path routing, config options, and local testing with netlify dev.

日本語の概要は準備中です。原文の説明を表示しています。

Ensure a usable SageMaker execution role exists before deploying or training. Use this skill whenever about to create a SageMaker endpoint, model, training job, or any resource that requires an execution role. Use it especially when the user has not provided a role ARN explicitly, when scripts are about to call `iam:CreateRole`, or when an AccessDenied error mentions an IAM action. Never blindly call `iam:CreateRole` — always check for existing roles first. This skill prevents the most common SageMaker deployment failure: trying to create IAM resources from an SSO principal that has no IAM write permissions.

日本語の概要は準備中です。原文の説明を表示しています。

Discover the user's local AWS context (active profile, region, account ID, caller identity) at the start of any AWS task. Use this skill before any other AWS work — deploying to SageMaker, creating resources, calling AWS APIs, or anything that touches an AWS account. Use it especially when the user has not specified a region or profile explicitly, when they say things like "use my AWS account", "deploy to AWS", "use my profile", or when about to make any AWS CLI or SDK call. Never guess the region or account ID — always use this skill to read it from the local configuration first.

日本語の概要は準備中です。原文の説明を表示しています。

Azure deployment for web apps — Static Web Apps, App Service, Blob Storage, Bicep/ARM, GitHub Actions CI/CD. Use when deploying Next.js/Vite to Azure or configuring Azure resources for full-stack apps.

日本語の概要は準備中です。原文の説明を表示しています。