Features
Qubinets features
Holistic approach to building and operating your big data or Ai platform means that Qubinets goes beyond just configuring and deploying nodes. With our advanced features process is faster, more efficient and takes less resources for all phases of platform lifecycle.
From assisting to design and dimension architecture over streamlining how data is connected to your platform to automating backend maintenance, Qubinets is helping you to deliver more value throughout the platform lifetime.

Managed Backend
Autopilot
Qubinets advanced set of features work together with your platform architecture to establish platform meta-monitoring layer that allows to automate platform operations such as auto failure detection and recovery.
Zero touch operations
Autonomic backend operations that support whole platform lifecycle.
Observability and alarming
Qubinets will autonomically setup and run platform observability protocols to detect running issues.
Metric monitoring
Qubinets platform integrates predefined node KPI framework and related monitoring of relevant platform performance metrics of diverse sources.
Event and log analysis
Qubinets platform run event and log analysis in the background and if there is a problem, we are on it even before user notice it.
Distributed tracing
Qubinets uses distributed tracing through the tools like Apache Kafke, to react in a real-time.
Self-healing and autonomic repairs
Everything what was monitored was trained to understand how to react if the problem occur.
AI Assistent
Q
Our implementation of AI assistant that helps you navigate both our platform and aspects of architecture planning and implementation for your platform built on Qubinets.
Place where Building Blocks live
Marketplace
Qubinets can host 3rd party building blocks, both infrastructure and application type allowing users to to build faster and monetize on blocks built by them and distributed in our community.