Results for “dep”

Upgrade Expo SDK versions and fix dependency issues with step-by-step guidance.

Develop and manage Helm charts for Kubernetes, covering templates, values, hooks, dependencies, testing, and repository publishing.

Coordinate staged releases across Stripe, Supabase, and Vercel from the shell using the Composio CLI. One script kicks off the whole 'ship it' sequence: product/price updates, DB migrations, frontend deploy, smoke checks, changelog post.

ML pipeline design — data versioning, experiment tracking, deployment patterns, drift monitoring. Use when building an ML pipeline from data to deployment, setting up MLOps tooling (DVC, MLflow, model registry), choosing deployment patterns (shadow, canary, A/B), or designing monitoring for drift and degradation.

Deploy Expo web apps and API routes to EAS Hosting (Cloudflare Workers), including export, deployment, environment secrets, custom domains, and authoring API routes with HTTP methods, CORS, and error handling.

Designs and implements CI/CD pipelines with automated testing, build automation, deployment, and rollback strategies.

Configures ArgoCD for GitOps-based Kubernetes deployments, including installation, project and application setup, and Kustomize overlays for multi-environment management.

Containerizes applications and deploys them to Google Kubernetes Engine (GKE) with Dockerfiles, manifests, and best practices.

Provides production-grade Kubernetes YAML patterns and kubectl debugging commands for deploying, managing, and debugging workloads reliably.

Deploy and verify smart contracts on Base with Foundry, including testnet faucet access, encrypted keystore management, and BaseScan verification.

Orchestrates Python data pipelines with Prefect flows, tasks, retries, caching, parallel execution, and deployments to work pools.

Deploy Flutter backends to OVHCloud using Managed Kubernetes, Object Storage, and Terraform, with CLI and infrastructure-as-code examples.

Generate operational runbooks from a service name — deployment, incident response, maintenance, and rollback workflows. Templated structure customizable per environment.

Provides a structured pre-launch checklist, staged rollout plan, monitoring setup, and rollback strategy for safe production deployments.

Discovers available Azure OpenAI model capacity across regions and projects, analyzes quota limits, and recommends optimal deployment locations.

Guides building original LangGraph agents for Warden Protocol, from setup to deployment and publishing in Warden Studio.

Deploy and scale Python AI/ML workloads on Modal's serverless cloud, including GPU compute, web endpoints, scheduled jobs, and persistent storage.

Implements gradual traffic shifting, automated canary deployments with metric analysis, rollback automation, and observability dashboards for progressive releases.

Deploy and manage a Linkerd service mesh on Kubernetes, including mTLS, traffic splitting, retries, timeouts, and observability.

Manages env0 infrastructure-as-code environments via the env0 API, covering discovery, deployment, cost tracking, variables, and policies.

Manages Wing applications by compiling, testing, simulating locally, and deploying to cloud targets, with resource inspection and console usage.

Deploys web apps with backend APIs, database, and file storage to a public URL via the AppDeploy HTTP API.

MLOps lead for deployment, monitoring, and scaling. Use when the user asks to talk to McGonagall, requests deployment help, or needs CI/CD for AI systems.

Neon serverless Postgres with autoscaling, instant database branching, and zero-downtime deployments. Use when building serverless applications, implementing database branching for dev/staging, or deploying with Vercel/Netlify.

Power BI Report (PBIR) Deploy Only

Ad-Hoc Raw Upload to Databricks

Automates CI/CD pipeline setup, quality gates, test runners, and deployment strategies for GitHub Actions.

Generate infrastructure code (Bicep/Terraform), azure.yaml, and Dockerfiles for Azure deployment, with a mandatory planning workflow.

Deploy, inspect, log-tail, snapshot, and troubleshoot AEM Rapid Development Environments using the Adobe I/O CLI plugin.

Track ML experiments, manage model registry with versioning, deploy models to production, and reproduce experiments with MLflow.

Guides securing and deploying the Dify platform in production, covering SSRF protection, code sandboxing, Docker/Kubernetes deployment, monitoring, and recovery.

Bootstraps a local Python environment for a skill package by creating a venv and installing dependencies with a stdlib-only script.

Deploys web apps with backend APIs, databases, and file storage to a public URL via the AppDeploy HTTP API.

Provides a sandboxed execution environment for running code snippets, automating tasks, and deploying logic across multiple languages with resource capping and network isolation.

Deploy and run ML experiments on local or remote GPU servers. Use when user says "run experiment", "deploy to server", "跑实验", or needs to launch training jobs.

Plans and coordinates the deployment of a model to Amazon SageMaker AI, selecting the appropriate pathway (real-time, serverless, async, batch, or Bedrock CMI) based on model type, traffic, latency, and cost constraints.