Results for “container”

Start, query, and stop a TAO inference microservice for a specific network architecture by delegating container execution to the appropriate platform skill.

Audits self-hosted Dokku PaaS deployments by inventorying apps, containers, domains, plugins, storage mounts, environment variable counts, proxy settings, and SSL status via read-only SSH commands.

Set up the Holoscan Sensor Bridge demo environment end-to-end: clone the repo, configure the host per platform, build and run the demo container, and verify connectivity to the sensor board.

Assess and migrate cross-cloud workloads to Azure with reports and code conversion. Supports Lambda to Functions, Beanstalk/Heroku/App Engine to App Service, Fargate/Kubernetes/Cloud Run/Spring Boot to Container Apps.

Deploy and manage Cloud Run services, jobs, and worker pools on Google Cloud.

Builds machine and container images with HashiCorp Packer, including Docker images locally without cloud resources.

Configure NeMo AutoModel job launches for interactive runs, Slurm clusters, and SkyPilot cloud execution.

Publish and deploy C# MCP servers to NuGet, Docker, Azure, and the MCP Registry.

Orchestrates polyglot distributed applications using Aspire's AppHost, CLI, and MCP server for local development, testing, and deployment.

Guides reliable application deployment with CI/CD pipelines, zero-downtime strategies, rollback plans, and post-deploy monitoring.

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

Coordinates multi-service releases, manages container registries, and sets up CI/CD pipelines across platforms.

Inspects the host system, assesses platform compatibility, and recommends the correct Holoscan SDK installation method, then delegates to a method-specific install skill.

Discover, select, and run Holoscan Sensor Bridge example applications on a connected devkit over SSH, filtering by platform, board type, and sensors.

Provides deployment strategies, CI/CD pipeline patterns, Docker containerization best practices, health checks, and production readiness guidance for web applications.

Generate comprehensive rollout plans with preflight checks, step-by-step deployment, verification signals, rollback procedures, and communication plans for infrastructure and application changes.

Execute Azure deployments for already-prepared applications using azd up, azd deploy, terraform apply, and az deployment commands with built-in error recovery and verification.

Detects the project stack and generates production-ready multi-stage Dockerfiles with compose services, .dockerignore, non-root users, health checks, layer caching, and optional dev hot-reload profiles.

Launch distributed Megatron-LM training jobs on a SLURM cluster with a minimal sbatch skeleton, environment-variable setup for torch.distributed.run, CUDA_DEVICE_MAX_CONNECTIONS rules, container conventions, monitoring, and per-rank failure diagnosis.