--- title: "STACKIT Product Fundamentals" description: "A deep, hands-on tour of the STACKIT product portfolio: compute, storage, networking, runtime platforms, databases, security, and AI services." scfAsset: managed: false category: "guide" maintainers: - user: "can.celik1" external: true tags: ["STACKIT University", "Learning", "Product Fundamentals", "Cloud Engineer", "IaaS", "PaaS"] source_url: "https://framework.stackit.cloud/architecture/assetcontainer/stackit/cloud-product-fundamentals/" source_file: "docs/architecture/assetcontainer/stackit/cloud-product-fundamentals.mdx" --- ## Course Overview A technical, hands-on tour of the full STACKIT product portfolio across ten modules: compute (VM sizing, GPU workloads, custom images), storage and network architecture, the Kubernetes Engine and Cloud Foundry runtime platforms, database services (PostgreSQL Flex, MongoDB Flex, MariaDB, Redis, OpenSearch), RabbitMQ-based messaging, observability, security services (KMS, Secrets Manager, IAM, audit logging), developer automation (CLI, SDKs, Terraform), and STACKIT's data and AI offerings including managed AI Model Serving. Every module pairs an architecture explanation with concrete CLI, API, and Terraform examples rather than staying at the conceptual level. This is the technical deep dive for people who will actually build and run production workloads on STACKIT — cloud engineers, DevOps engineers, technical consultants, and teams migrating existing systems. It assumes you already have the fundamentals and an active STACKIT project, and it's built around the tool-selection and configuration decisions those roles face daily: which provisioning method fits a task, how to tune storage and database performance, and how to wire security and observability into a deployment rather than bolting them on afterward. ### What You'll Learn - Understand the technical architecture and internals behind STACKIT's core services - Provision and configure resources using the CLI, API, and Terraform - Implement security controls with Key Management Service (KMS) and Secrets Manager - Operate production-grade Kubernetes Engine and Cloud Foundry deployments - Configure messaging, observability, and monitoring for running workloads - Integrate STACKIT AI Model Serving for LLM-backed applications ### Modules - Computing - Storage Architecture - Network Architecture - Runtime Platforms - Database Services - Messaging & Event-Driven Systems - Observability & Monitoring - Security Services - Developer Platform & Automation - Data & AI