'deploy' 검색 결과

Cloudflare 계정 등록 없이 Worker를 임시 URL에 배포하고 실제 응답을 확인합니다. 코드 수정과 재배포를 반복하며 60분 안에 소유권을 인수할 수 있습니다.

• Worker 시제품을 URL로 공유
• 브라우저 인증 없이 임시 배포
• 코드 변경 후 실제 응답 확인

배포 후 운영 중인 앱을 지속적으로 모니터링하여 콘솔 오류, 성능 저하, 페이지 장애를 확인합니다. 정기 스크린샷을 배포 전 기준 상태와 비교해 이상을 알립니다.

• 배포 후 운영 앱 모니터링
• 업데이트 후 성능 저하 확인
• 배포 전후 화면 비교

Operate an existing Twenty app by syncing changes, managing server connections, building and deploying releases, and inspecting function logs. It also guides troubleshooting and CI/CD, the workflows used to automate testing and deployment.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Sync app changes to a Twenty server
• Prepare and deploy an app update
• Investigate failed builds or deployments

Prepare and deploy static sites to Azure Static Web Apps with the SWA CLI. Set up local previews, configure routing and authentication, connect Azure Functions APIs, and arrange automated deployment through GitHub Actions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Deploying an existing static site to Azure
• Testing a frontend and API together locally
• Configuring routes and authentication

Deploy CrowdStrike Falcon sensors across Windows, macOS, and Linux endpoints. Configure threat prevention and response policies, verify installation and detection, troubleshoot sensor issues, and connect events to SIEM platforms, which collect security logs for analysis.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Deploying Falcon sensors across enterprise endpoints
• Configuring prevention and response policies by endpoint group
• Checking sensor connectivity and test detections

Deploy web applications to Vercel for production or preview, then check build results, deployment status, and the live URL. The skill also covers linking projects, managing domains, and adding or downloading environment variables through the command line.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Publish an existing web app to production
• Create a preview deployment for review
• Check deployment status and live URL responses

Prepare a graded Claude Managed Agent for recurring schedules, event triggers, or on-demand use. Validate timing, build deployment request data, optionally include self-evaluation for each run, and document the next steps in a roadmap.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Schedule an agent to run every morning or weekly
• Prepare a curl trigger for an external event
• Add self-evaluation to each recurring run

Plan and build AI agents on Google Cloud, from gathering requirements to choosing a single-agent or multi-agent design. Produce architecture diagrams, deployment code and instructions, and validation plans tailored to the workload.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Plan an AI agent architecture on Google Cloud
• Choose between single-agent and multi-agent designs
• Prepare deployment code and step-by-step instructions

Deploy AI models on GKE with suitable GPUs or TPUs and model servers. Generate deployment configuration, adjust automatic scaling, and tune inference—the process of producing model responses—for memory use, throughput, and response time.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Deploying Gemma or Llama on GKE
• Choosing GPUs or TPUs for model serving
• Configuring automatic scaling for LLM requests

Guides an application’s first deployment to GKE, Google’s managed Kubernetes service. Covers application assessment, container creation, image storage, deployment configuration, security settings, health checks, and verification that the application is running.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Deploying an existing application to GKE for the first time
• Creating a Dockerfile and registering a container image
• Preparing deployment configuration with health checks

Deploy and manage applications on Cloud Run using source code or container images. Choose services for web requests, jobs for tasks that finish, or worker pools for continuous background processing, with guidance on execution settings and deployment failures.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Deploy a web application from source code or a container
• Create and run batch jobs with parallel tasks
• Deploy continuous queue-processing workers

Publish a built website or web app and provide a shareable URL through Kortix Apps, Cloudflare, or Vercel. Check the running build, security, external service requirements, and data storage limits before deploying with the user's explicit approval.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Sharing a temporary demo of a static website
• Deploying an app with Kortix sign-in
• Publishing a framework app or container on Vercel

Coordinate Stripe pricing changes, Supabase database updates, and Vercel deployments through the Composio CLI, a command-line tool. Follow an ordered release workflow with post-deployment checks, Slack announcements, and guidance for reversing changes if verification fails.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Launch billing, database, and frontend changes together
• Promote a preview build alongside pricing changes
• Script a recurring release process

Deploy QM to Fly.io or AWS, set up administrator access, and configure connectors. The workflow covers model provider and sign-in choices, optional Slack activation, automated live checks, and a manual web acceptance check.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Deploying QM to Fly.io or AWS
• Setting up initial administrator access
• Configuring connectors and optional Slack access

Create Kubernetes deployment files and Helm charts, reusable application packages. Configure permissions, network isolation, and persistent storage, then investigate pod failures and resource usage to adjust workloads and verify deployment health.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create deployment YAML and Helm charts
• Configure access permissions and network isolation
• Set up persistent storage and sensitive configuration

Set up NVIDIA infrastructure for synthetic data generation on MicroK8s or Azure AKS. Coordinate Kubernetes, inference services, and OSMO workflow execution, with prerequisite checks, deployment validation, capacity planning, and failure investigation before workloads are retried.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Set up a synthetic data generation environment on MicroK8s
• Deploy an Azure AKS environment with OSMO and inference services
• Check GPU quotas and capacity before scaling

Deploy a runnable prototype to the hosting service you choose, such as Sites or Vercel. Use the available deployment tool, return a working shareable URL, and identify any remaining manual steps.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Publishing a prototype for others to try
• Deploying a prototype to Sites
• Deploying a prototype to Vercel

Prepare and deploy Expo apps to iOS and Android stores or the web using EAS, Expo's build and deployment services. Covers production builds, store submissions, beta distribution, preview deployments, and automated release workflows.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prepare Expo apps for iOS and Android store submission
• Distribute an iOS beta through TestFlight
• Deploy a web app and create a PR preview

Build remote MCP servers, which let AI agents call external tools, on Cloudflare Workers. This skill covers server code, tool definitions, OAuth authentication, local testing, deployment, and connecting a Codex client.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building a remote MCP server
• Adding OAuth authentication to MCP tools
• Exposing external APIs as tools for AI agents

Deploy applications and infrastructure to Cloudflare by choosing services that fit the project. Covers Workers, Pages, storage, and related platform options, with authentication checks and references for configuring and publishing the selected setup.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Publishing a web application on Cloudflare
• Deploying serverless functions with Workers
• Choosing storage services for an application

Launch a new OpenClaw, PicoClaw, or Ottie deployment through Cloud Claw using the local CLI. Configure the agent type, deployment name, model, and Telegram settings according to the supported launch options and requirements.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Launch a new OpenClaw deployment
• Deploy PicoClaw or Ottie for Telegram
• Choose an OpenClaw model before launch

Manage a shared skill library for Claude Code, Codex, Cursor, and other agents. Search, install, update, and deploy skills to selected agents, organize reusable groups and tags, and check where each skill is available.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Deploy shared skills to Claude Code and Codex
• Check and update installed skills
• Organize skills with tags and reusable groups

Monitor a live application after deployment and compare it with a saved baseline, a record of its earlier state. Check page responses, loading times, and new errors, flag persistent changes, and produce a per-page health report.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Recording a healthy baseline before deployment
• Monitoring production immediately after deployment
• Checking key pages for slower responses or failures

Create starter projects for AI agents, add deployment configuration and automated build and release pipelines to existing projects, or update generated project files. Supports Python and Go ADK templates and a prototype-first approach.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Starting a Python or Go agent prototype
• Adding deployment configuration to an existing project
• Adding an automated build and release pipeline