Leave the complexity of database administration to us. We'll handle setup, backup and updates, so you can focus on building great apps.
Gain direct access to NVMe, SSD, or HDD storage on bare metal servers; With Syself’s local storage integration. Avoid network-induced latency and deliver unparalleled performance.
This results in:
Everything is provisioned and managed directly within Kubernetes. No need for additional cloud storage.
Local NVMe storage allows databases to handle millions of queries per second without bottlenecks.
Avoid the high expenses of managed database services while retaining full control over the database stack.
Data sovereignty and GDPR compliance are ensured by running databases in certified European data centers.
Traditional cloud block storage introduces network overhead, making database queries slower and less predictable. Managed database services come with high costs, proprietary restrictions, and limited customization options.
A New Era for
Databases on KubernetesSyself brings managed database services natively into Kubernetes, combining the ease of cloud-managed databases with the performance and control of running on your own infrastructure, allowing users to run databases on bare metal servers with direct disk access. By eliminating the need for external services, we reduce latency, avoid vendor lock-in, and dramatically cut costs — all while keeping your data close and your operations fully Kubernetes-native.
With Syself, you can run fully automated, production-grade databases inside Kubernetes without compromising performance. Unlike traditional cloud-managed databases, Syself enables a vendor neutral experience. The list of supported databases is extensive, including but not limited to:
Fully managed relational database system running within your cluster, ideal for OLTP and analytics workloads
Scalable, managed, document-oriented NoSQL solution optimized for high-volume data processing
High-performance analytical database for large-scale data analytics, powering fast, scalable insights within your clusters
High-speed transactional database inside your Kubernetes cluster to ensure high availability and performance
In-memory key-value store solution for real-time caching and session management, offering exceptional speed
Ultra-fast, highly scalable NoSQL solution ensuring exceptional performance within your Kubernetes cluster
Powerful search and analytics engine optimized for log aggregation and full-text search running in your Kubernetes clusters
High-throughput event streaming platform integrated into your Kubernetes cluster for real-time data pipelines and analytics
Managed open-source relational database system operating within your Kubernetes cluster for resilient storage
Scalable SQL database designed for consistency and resilience, distributed by design to handle petabyte-scale loads
HTAP database, merging the best of both SQL and NoSQL architectures to support real-time analytics
Distributed database engineered for high performance, scalability, and fault tolerance with a unique multi-model data structure
Syself ensures that Kubernetes operators manage replication, failover, backups, and automated scaling, regardless of which database technology is being used. And it does it all using native Kubernetes APIs.
Syself’s local storage solution enables seamless integration between bare metal servers and Kubernetes-native persistent storage. The technology behind it leverages TopoLVM, a Kubernetes-native logical volume manager that automates volume provisioning and allocation across available disks.
Syself makes local storage a first-class citizen in Kubernetes, rather than treating storage as an external component.
Kubernetes can automatically provision and bind local volumes as needed, ensuring efficient storage management for diverse workloads.
If a node goes down, Syself ensures that workloads are rescheduled, and the database operator rebalances the data across available nodes.
New nodes are dynamically integrated into the storage fabric. This ensures that capacity scales with demand without sacrificing performance.
One of the biggest concerns when running databases on local storage is maintaining high availability and data durability. Syself tackles this challenge by leveraging Kubernetes-native database operators, enabling databases to stay resilient even under high demand in mission-critical environments.
If a node goes offline, Syself ensures that workloads are rescheduled while the database operator seamlessly rebalances the data.
Database updates are performed through rolling upgrades, preventing service disruptions.
When replacing a failed node, Syself automatically reattaches its original storage volume, preventing data loss and unnecessary rebalancing.
Enterprises need storage solutions that keep up with demand, as Kubernetes adoption continues to grow. Syself’s local storage integration is not only optimized for today’s needs, but also future-proofed for next-generation workloads.
While currently optimized for Hetzner Bare Metal, future updates will support additional bare metal providers to ensure compatibility across different cloud ecosystems.
Syself's Kubernetes integration also includes native GPU support, making it possible to run AI, ML, and HPC workloads alongside databases within the same cluster.
Deploy mixed environments with both cloud-based and bare metal resources while ensuring a consistent, automated Kubernetes experience.
Syself's local storage capabilities are available today for users running Kubernetes clusters on Hetzner bare metal servers. Syself provides the tools you need to streamline operations, reduce costs, and improve performance. Whether you're building high-performance AI models, optimizing financial analytics, or managing large-scale web applications.
Syself’s team can provide support & consulting for organizations looking for guidance on setting up Kubernetes-native database workloads.
Syself Autopilot is a fully automated Kubernetes management platform that allows you to launch production-ready Kubernetes clusters in minutes.