Skill UI

This guide provides a comprehensive walkthrough for developing and deploying Apify Actors. Actors are serverless, containerized applications designed for powerful tasks like web scraping, data processing, and complex automation. Learn the mandatory setup, template selection (Python, JS, TS), step-by-step development workflow, and crucial security best practices for building robust, production-ready data pipelines.

A comprehensive guide and template for deploying applications from idea to production. It covers modern DevOps practices, including containerization with Docker, robust CI/CD workflows using GitHub Actions, and infrastructure management with AWS SAM and Terraform. Includes setup for monitoring, health checks, and scalable cloud deployments.

Leverage the in-toto framework to enforce software supply chain integrity for container builds. This method generates cryptographically signed attestations (link metadata) at every stage—from code checkout to scanning—verifying that the deployed container image followed a predefined and approved build process. It is essential for implementing robust security controls, especially when requiring verifiable provenance before deployment in Kubernetes environments.

Integrates Aqua Security's Trivy scanner into CI/CD pipelines to perform automated vulnerability scanning on Docker images and related artifacts. It detects OS package CVEs, application dependency issues, and Dockerfile misconfigurations. This ensures that only secure, compliant images can proceed to registry push or production deployment by enforcing strict quality gates.

This skill guides the deployment and configuration of Microsoft Defender for Cloud (CNAPP) across Azure, multi-cloud, and hybrid environments. It covers enabling specialized security plans for various workloads (servers, containers, databases), managing the Secure Score, and implementing advanced security controls like Just-In-Time (JIT) access, ensuring comprehensive cloud workload protection and compliance.

This skill provides comprehensive methods for securing Helm chart deployments on Kubernetes. It covers validating chart provenance through signature verification, scanning templates for misconfigurations (using tools like kubesec and checkov), enforcing strict pod/container security contexts, managing secrets via external stores, and implementing precise RBAC controls within CI/CD pipelines. Ideal for compliance and robust security architecture.

Aspire is a code-first polyglot toolchain that orchestrates containers, executables, and cloud resources through an AppHost project, guiding creation, debugging, configuration, deployment, and troubleshooting for distributed applications across languages.

Helps produce Dockerfiles and a detailed containerization plan for ASP.NET .NET Framework projects running in Windows containers, covering configuration settings, IIS, dependencies, and deployment steps.

Automate the entire deployment lifecycle for ML inference services on CoreWeave GPU cloud. This workflow integrates unit testing, container image building (to GHCR), and rolling deployment to CoreWeave Kubernetes clusters via GitHub Actions. Ideal for ensuring stable, high-performance deployment of GPU-dependent models. Key features include validating GPU manifest requests and managing deployments using standard Kubernetes APIs.

A comprehensive guide and set of tools for establishing a local development workflow tailored for CoreWeave GPU deployments. This includes steps for building Docker containers, validating Kubernetes YAML manifests using dry-run, and managing the full deployment lifecycle for AI inference services before pushing to the cloud.

This skill provides a comprehensive guide and implementation for deploying a containerized Fathom AI meeting service. It is designed to handle the processing of meeting transcripts, summaries, and action items via webhooks. The solution includes Docker setup, environment variable management, robust health checks, and detailed steps for implementing rolling updates, ensuring continuous and reliable meeting data synchronization.

Outlines a comprehensive, fast local development loop for applications hosted on Fly.io. It guides users through testing Docker containers locally, proxying remote services like Postgres and Redis to localhost, configuring dev environments, and performing fast deployment cycles. Essential for modern edge computing development.