Managed and hosted
Qubinets for Grafana®
Grafana as a fully managed service, with zero vendor lock-in and a full set of observability capabilities for your apps and infrastructure.
Client list
Market leaders build on Qubinets
Introduction
What, how, where
Use Grafana® within Qubinets platform as a observability tool for your apps and infrastructure.
Qubinets platform enables everyone, even if you have never seen a code in your life, to build and deploy Grafana® in matter of minutes. Just few drag and drops and your Grafana® is up and running.
Packaging of our Qubinets Platform and its components, like Grafana®, is happening through Kubernetes.
Qubinets platform is managing your data infrastructure so that you can focus on your business.
Benefits
Benefits of Qubinets for Grafana® as-a-service
With Qubinets hosted and managed-for-you Grafana, you can set up clusters, deploy new nodes, migrate clouds, and upgrade existing versions — in a single mouse click — and monitor them through a simple dashboard. So you can get back to creating and implementing applications, without worrying about Grafana’s complexity.
Automatic updates and upgrades. Zero stress.
Stressing about applying maintenance updates or version upgrades to your clusters? Do them both in a single click from your Qubinets dashboard. With no interruptions or downtime. Ever.
99.99% uptime. 100% human support.
Downtime is a disaster for critical applications. That’s why Qubinets makes sure you get 99.99% uptime. Plus, you get access to a 100% human support team — in case you need a helping hand.
Super-transparent pricing. No networking costs.
Qubinets for Grafana comes with all-inclusive pricing. No hidden fees or charges, just one payment that covers networking to data storage, and everything in-between.
Scale up or scale down as you need.
Increase your storage, get more nodes, create new clusters or expand to new regions. Grafana has never been this easy.
Use cases
How Grafana® is used by Qubinets customers
Our experience and achievements range from visualizing data directly from Kafka streams while controlling Flink processors in real-time for the purpose of filtering, all the way to usage of standard systems as Grafana in combination with datasources ranging from relational databases to OLAP databases.
Utilizing existing visualization systems such as Grafana, one can read from various data sources (supposing ElasticSearch) and create various graphs/dashboards.
