Everything you need to build, deploy, and scale your applications. The Docs offer comprehensive guides, technical references, and practical tutorials to help you make the most of the STACKIT cloud services.
Learn the essential first steps to get started within the cloud, creating and managing your STACKIT resources.
Explore our cloud-based products and services, including databases, computing, AI and more.
Understand the essentials of cloud management and governance, from IAM and billing to resources, and regions.
Leverage our developer tools to build, automate, and scale your cloud infrastructure.
The object-relational data base for reliable, robust, and high-performance storage
Realize modern applications with the popular NoSQL data base
Easily create, supply, and operate containerized workloads
Use Leading GenAI Models Easily and Securely
Powerful Lakehouse Query engine for lightning-fast Data Analytics.
Public routable IPv4 address.
Powerful toolset that makes monitoring easy
Quickly query and easily analyze large amounts of data
Worldwide availability with low latency and high bandwith
Virtual network interface with IPv4 addressing and security controls.
Public routable IPv4 address.
Rule-based network traffic control at the interface level.
Intelligent, content-based routing for modern web applications.
High availability thanks to the efficient distribution of data traffic
Quick and reliable public DNS resolution
Centralized firewall rule management for network traffic control.
Powerful Lakehouse Query engine for lightning-fast Data Analytics.
Use Leading GenAI Models Easily and Securely
Managed Kafka-based data ingestion for Apache Iceberg tables.
The open source developer platform to build AI applications and models.
An interactive data exploration and development platform based on Jupyter
Orchestration engine for scheduling and executing data pipelines.
Relational data base optimized for dynamic websites
Quickly query and easily analyze large amounts of data
Flexible in-memory storage – whether as cache, data base, or message broker
Realize modern applications with the popular NoSQL data base
The object-relational data base for reliable, robust, and high-performance storage
Maximum reliable and high-performance storage thanks to the enterprise database
Set up a first MongoDB Flex instance with a step-by-step guide. Learn to create an instance, connect to it, and perform basic database operations.
Manage STACKIT services with the command-line interface. The guide covers installation, configuration, and authentication to start automating cloud infrastructure.
Explore cloud enablement training for STACKIT Cloud and the sovereign ecosystem. Access an extensive range of courses on the learning platform.
Get full cost transparency for your cloud services. Calculate cloud architectures quickly and receive meaningful cost indications without hidden surprises.
Configure and manage services from the command line.
Accelerate development by interacting with APIs in Go.
Simplify daily development work using APIs in Python.
Integrate APIs into your Java development workflow.
Define, reuse, and share infrastructure as code.
Access the fully integrated API ecosystem.
Explore ready-to-use third-party solutions hosted on STACKIT Cloud. Access modern applications and services to extend your cloud capabilities seamlessly.
Expand your business opportunities through the STACKIT Partner Program. Build successful collaborations and leverage our cloud platform to grow together.
The Observability Team is pleased to announce the update of Grafana to version 12.4.
For more details on the latest features and improvements, please refer to the Grafana release notes .
We are happy to announce that STACKIT Logs has been updated to Loki version 3.6, effective immediately.
This release delivers performance and stability enhancements alongside various bug fixes, ensuring a more responsive and reliable experience. This update is fully backward compatible, introducing no breaking changes. Your existing configurations and data will continue to work without any modifications.
Our Help Center is always at your disposal if you have any questions.
We are excited to announce that STACKIT AI Model Experiments is now available in Public Preview.
STACKIT AI Model Experiments is a managed MLflow™ Tracking Server designed specifically to streamline your machine learning development on the data-sovereign STACKIT Cloud. As a central building block of our Data & AI Platform, the service allows you to track, version, and compare every Hyperparameter, metric, and model artifact in a secure environment. By providing a shared “source of truth” it enables seamless team collaboration, automated resource monitoring, and reproducible model benchmarking. Whether you are performing Hyperparameter optimization or setting up CI/CD for machine learning, you can effortlessly integrate the service into your existing Python-based workflows via the SDK and visualize all results in an interactive UI—without any infrastructure overhead.
During this public preview, the STACKIT AI Model Experiments service itself is free of charge, allowing you to test and explore its full functionality. You only pay for the STACKIT Object Storage used to store your machine learning artifacts.
We are continuously improving the service based on your valuable feedback to ensure that STACKIT AI Model Experiments provides a highly scalable and reliable foundation for your machine learning lifecycle by the time it reaches General Availability.
Our Help Center is always at your disposal if you have any questions.