Results for “dep”

Run pre-deployment validation checks for Azure readiness, including configuration, infrastructure (Bicep or Terraform), RBAC role assignments, and managed identity permissions.

Deploy the AutoMagicCalib microservice and web UI from pre-built NGC release images using Docker Compose.

Validates Bicep deployments to Azure before execution, including syntax checks, what-if analysis, and permission verification.

Deploy, manage, or withdraw from an AI agent vault on the Versa onchain adversarial AI arena on Base.

Design, deploy, and operate production-ready software with stability patterns, capacity planning, and zero-downtime releases.

Discovers, validates, or creates a SageMaker execution role before deploying or training, preventing IAM-related deployment failures.

Manages project lifecycle tasks from a single CLI: initialize, check, build, test, deploy guidance, config, templates, docs, and cleanup.

Coordinates five specialized agents (planning, research, code, review, deploy) into a pipeline that ships features from spec to production with automated gates.

Track ML experiments, manage the model registry with versioning, deploy models, and reproduce experiments using MLflow's framework-agnostic platform.

Build, deploy, and modify GitHub Copilot SDK apps on Azure with scaffolding, model configuration, and deployment orchestration.

Build AI applications using the Azure AI Projects SDK for TypeScript, managing agents, connections, deployments, datasets, indexes, and evaluations.

Diagnose failed or unhealthy Dynamo deployments by collecting a read-only debug bundle, classifying failures, and providing step-by-step remediation guidance.

Set up and initialize AWS CDK applications in Python, including prerequisites, project creation, dependency management, and deployment.

Secure Helm chart deployments by validating chart integrity, scanning templates for misconfigurations, and enforcing security contexts in Kubernetes releases.

Deploy static websites to IPFS with a single command using the PinMe CLI, auto-detecting the build directory and returning a preview URL.

Guides building LLM applications on the Dify platform, covering visual workflows, knowledge bases, agents, and API deployment.

Manages CDK for Terraform projects: synthesizes HCL, deploys stacks, inspects outputs, and analyzes diffs across TypeScript, Python, Go, Java, or C#.

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.

Deploys Python web apps (Flask, Django, FastAPI) to Azure App Service Linux with automatic resource creation and framework detection.

Guides through interactive deployment of Azure OpenAI models with full control over version, SKU, capacity, content filtering, and advanced options.

Turns model work into a production ML system with data contracts, reproducible training, quality gates, deployable artifacts, and monitoring.

Manage Azure AI Foundry projects with .NET SDK: create and run agents, manage connections, datasets, deployments, evaluations, and indexes.

Develop, deploy, and manage Cloudflare Workers and associated services (KV, R2, D1, Queues, etc.) using the Wrangler CLI with up-to-date commands and configuration.

Runs a read-only pre-deploy verification gate covering git status, builds, tests, migrations, secrets, and commit conventions, then reports READY or NOT READY.

Diseña y optimiza pipelines de CI/CD para GitHub Actions y GitLab CI, incluyendo automatización de tests, linting, builds y deploys.

Manages Python package publishing, versioning, and distribution builds on PyPI, including dependency resolution, index configuration, and package health analysis.

CI/CD pipeline setup — GitHub Actions, testing, linting, deployment. Use when setting up CI from scratch, adding GitHub Actions, automating tests, wiring up deployment, or improving an existing build pipeline.

Use this when reviewing whether an app, service, worker, CLI, or serverless system is ready for its target environment with respect to config, secrets, migrations, dependencies, observability, rollback, and runtime constraints.

Deploy and configure Generic VNIC Attachment (GVA) for OCI Kubernetes Engine (OKE), including node pool creation with secondary VNIC profiles and workload mapping.

Deploy ERC20 tokens on EVM chains (Base, Ethereum, Arbitrum) using the Clanker SDK with features like vesting, airdrops, rewards, and anti-sniper protection.

Deploy and serve AI/ML models on Modal's serverless cloud platform with on-demand GPUs, autoscaling containers, persistent storage, and scheduled jobs.

Extracts executable task definitions from Markdown files and runs them as shell pipelines, parsing fenced code blocks with task metadata annotations and managing dependencies between tasks.

Turn model work into a production ML system with data contracts, reproducible training, quality gates, deployable artifacts, and monitoring.

Designs and implements blue-green deployment architectures with environment switching, traffic routing, automated rollback, and health monitoring for zero-downtime releases.

Analyze and manage Bazel workspaces, including BUILD file inspection, target querying, dependency graphs, remote execution, caching configuration, and build performance profiling.

Deploy web apps with backend APIs, database, and file storage. Use when the user asks to deploy or publish a website or web app and wants a public URL. Uses HTTP API via curl.