GALVR

Taking a deeper look at the distributed systems in your Kubernetes Clusters. Empowered with auto-instrumentation to collect and render metrics and traces data all with one tool.

Key Features

Here are the highlights of some features Galvr offer.

More Than Health Monitoring for Kubernetes

Galvr is able to collect and visualize a huge variety of metrics data, beyond the predefined metrics exported from Kubernetes by default.

OpenTelemetry Compliance

Galvr is in compliance with the OpenTelemetry specification, and able to handle all different types of metrics data (e.g. sum, gauge and histogram).

Straightforward Deployment

Follow our step-by-step getting started guide to deploy the Galvr components to your Kubernetes cluster and start visualizing the telemetry data right away.

Built-In Instrumentation

Various auto-instrumentation packages are included to enable instrumenting your distributed system without code injection.

Intuitive Dashboard

An intuitive dashboard is provided to enable searching, filtering and visualizing metrics data from different resources in your Kubernetes cluster.

Persistent Storage

Within-cluster database is provided by Galvr to store your metrics data. Available for further data analysis or archive.

Everything about your cluster

See Galvr in Action

Instrument, connect and go. Visualize the telemetry data for your cluster.

Features 01
All-in-one tool

A Dashboard Accessible via Browsers

  • Live data from Kubernetes cluster
  • Able to search specific instrumented resource
  • View all metrics in one page
Features 02
See what's happening under the hood

Interactive Interface

  • Cover all metrics types per OpenTelemetry
  • Automatically group related data together
  • Interactive charts to allow data filtering
Features 03
We got traces covered as well

Integration with Jaeger

  • Leverage Jaeger to visualize traces data
  • System topology graphs to show dependencies
  • Trace view for each individual service

Meet the Team

Yi Sun
Yi Sun
Software Engineer
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Sam Blackburn
Sam Blackburn
Software Engineer
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Yi Sun
Sharon Chen
Software Engineer
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Yi Sun
Daniel Jaworski
Software Engineer
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