Deckhouse Kubernetes Platform

Creating identical Kubernetes clusters and managing them
Managing virtual machines
Infrastructure-wide centralized observability
Securely managing lifecycle of secrets
Building and delivering containerized software
Cluster control center
Open Source monitoring system
Continuous development and software lifecycle management
Centralized development workflow management
Creating identical Kubernetes clusters and managing them
Managing virtual machines
Infrastructure-wide centralized observability
Securely managing lifecycle of secrets
Building and delivering containerized software
Cluster control center
Open Source monitoring system
Continuous development and software lifecycle management
Centralized development workflow management
Comprehensive solution for container orchestration on top of any infrastructure
Proven tools and DevSecOps best practices
99.99% SLA thanks to fault tolerant platform components
15x less time to prepare and deploy development environments
Automation of up to 80% of manual operations including cluster management
Once the installation is complete, you have a fully operational platform ready to go
Customize automatic updates to run at a suitable time, opt for early access to new features or prefer more stable ones
Group nodes for different types of workloads, manage allocated resources, configure high availability mode
Customize rules for security, monitoring, logging, and other subsystems as needed
Integrate the full range of Deckhouse ecosystem products and extend the capabilities of the platform
Free version of the platform
For public clouds or on-premise installations with internet access
For non-critical environments that do not require dynamic scaling and increased security requirements, including air-gapped environments with no Internet access
For production environments in private clouds and on-premises, including multidatacenter and multicloud installations as well as environments with increased security requirements
Modules available in different editions of the Deckhouse Kubernetes Platform
On dedicated servers, including air-gapped environments
In public clouds: AWS, GCP, Azure, IBM cloud, DigitalOcean, Oracle, and others
In remote installations with poor network connectivity and limited resources
In private clouds, on top of any virtual instance, including those without internet access
The hybrid model: static part of the cluster runs on bare metal plus dynamic scaling to the cloud
Autoscaling of platform components based on their load
Automatic configuration of control components