Deckhouse Observability Platform — ultimate infrastructure and application observability

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
Ultimate real-time infrastructure and application observability
Preconfigured dashboards and triggers: 99% of the time, no additional customization is required to commence infrastructure and application monitoring
Long-term (5+ years) storage of metrics and logs in one place while preserving details; flexibility in setting access rights and limits; audit logs for all events
The monitoring agent automatically discovers and collects data across hardware, OS, and services such as databases, queue managers, and web servers
Compatibility with industry standards such as Grafana, Prometheus, Loki, and their PromQL/LogQL query languages greatly simplifies the adoption process
Set up metrics and logs streaming from your systems, set up agents
The interface automatically displays pre-built monitoring dashboards for detected services; the corresponding alerts get configured
Monitor all the metrics and logs coming into the system, create your own dashboards and triggers if needed
Restrict or grant access to data using a role-based model to ensure control and security
Monitor events in multi-cluster projects using the built-in Deckhouse Commander integration
Collect metrics and logs in an infrastructure that includes different kinds of Kubernetes clusters (Deckhouse Kubernetes Platform, vanilla Kubernetes, OpenShift, Rancher) in a single centralized repository
Collect metrics and logs from any Kubernetes cluster, as well as from nodes outside of Kubernetes clusters (e.g., databases running on virtual machines outside of the cluster) into a single centralized repository with minimal resource consumption
Collect metrics and logs and store them for a short time (e.g., 14 days) in a single centralized repository for an infrastructure that includes one or more Deckhouse Kubernetes Platform clusters. Sources of monitoring data can be both internal and external
We use cookies to make your browsing experience more convenient. Please refer to our Privacy Policy for details.