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Comprehensive Features Breakdown
Syself is more than just Managed Kubernetes. Take a look at our features and see for yourself.
Get Started
Autoscaling
Automatically adjust the number of computing resources allocated to a cluster based on its current demand.
ARM Support
Use ARM machines as controlplanes or worker nodes for your clusters without any additional configuration.
Gitops Ready
Use Git as the single source of truth for your configurations.
Self-Healing
Automatically detect and fix issues in your infrastructure without human intervention.
Pre-configured Clusters
Deploy fully operational Kubernetes environments quickly and effortlessly.
SLA and Support
Global team of experts, always ready to assist you.
Open-Source Foundation
Have all the transparency, reliability, and innovation of a vibrant global community.
GDPR Compliance
Ensure full compliance with the GDPR, safeguarding your data and privacy.
Dedicated Operational Mode
Self-host our platform in your own infrastructure.
Local Storage
Store data directly on your bare-metal machines for reduced latency and faster access speeds.
Bare Metal Support
Automate the lifecycle management of your Hetzner bare-metal machines.
Declarative Management
Use configuration files to define the desired state of your infrastructure and applications.
Feature Requests
Whether you need a specific tool, integration, or functionality, we’re here to listen and bring your ideas to life.
Kubernetes Native
Use Kubernetes to Manage Kubernetes and benefit from it’s capabilities to orchestrate and manage your clusters.
Infrastructure Ownership
Retain full ownership and control over the Kubernetes control planes.
Lifecycle Management
Manage the lifecycle of your cluster to ensure it is always running smoothly.
OS Hardening
Ensure the highest levels of security and performance for your Kubernetes clusters.
Machine Learning Ready
Get a scalable and flexible infrastructure for machine learning tasks.
Flexible Updates
Update whenever you want, without downtime.
GPU Support
Deploy and manage GPU-accelerated workloads within your Kubernetes clusters.