Other solutions force you to choose between cost-efficiency and reliability. With Syself, you can have both!
By integrating with the cloud providers with the best price-to-performance ratio, we allow you to build a reliable infrastructure that is ready for any challenge, for a fraction of the usual costs.
Automating Kubernetes operations means you need fewer engineers managing your infrastructure. Syself takes care of provisioning, updating, and self-healing, reducing the operational costs associated with manual work.
By integrating with cost-effective providers like Hetzner, Syself allows you to lower cloud expenses while still delivering high performance to your users.
Clusters created with Syself come with additional performance optimizations, making the resource-usage more efficient.
With our platform, you have production-ready clusters in minutes. No need to hire a dedicated team of experts.
Other Kubernetes solutions often force you to choose between performance and cost. Syself helps you strike the perfect balance, giving you high-performance Kubernetes clusters at a fraction of the cost. By leveraging the Hetzner provider, known to have the best costs in the cloud market, you can reduce cloud expenses while maintaining reliability and speed.
Syself treats Hetzner bare metal servers as first-class citizens, delivering unmatched performance for their prices.
You can leverage this power for your base workload, while scaling up with cloud machines when spikes in demand occurs. With this mixed autoscaler setup, you can get the maximum performance while making sure your applications always stay online.
“Syself provides a fully managed ClusterAPI management cluster. You just connect to it, configure your Hetzner API Key and declaratively specify clusters. They take care of the rest. I couldn’t imagine a more convenient way to spin up clusters and the costs for their offering are already offset by the savings off the first few Hetzner machines.”
Nico Duldhardt
Co-founder, Canida
Machine Learning Ready
Get a scalable and flexible infrastructure for machine learning tasks.
Pre-configured Clusters
Use configuration files to define the desired state of your infrastructure and applications.
Gitops Ready
Use Git as the single source of truth for your configurations.
GPU Support
Deploy and manage GPU-accelerated workloads within your Kubernetes clusters.
SLA and Support
Around-the-clock support to ensure your cluster is always running smoothly.
Self-Healing
Automatically detect and fix issues in your infrastructure without human intervention.