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Releases: CiscoDevNet/video-mesh-api-client

Video Mesh Webhook Alerts For organization calls overflows and cluster calls redirected

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@akshayambu akshayambu released this 20 Oct 04:38
8c8006b

Changelog

  • Support has been added for receiving Webhook Alerts.
  • Added Grafana dashboards to visualise the received Webhook Alerts.
  • Upgraded python packages and minor fixes for improving user experience.

v4.0 - Video Mesh API Client Type Distribution Details API

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@akshayambu akshayambu released this 19 Jun 09:59
8c8006b

Changelog

  • Added dashboard for Client Type Distribution Details.

v3.0 - Video Mesh API Improvements and Bug Fixes

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@akshayambu akshayambu released this 07 Feb 10:51
3cf23bb

Changelog

  • Added dashboards for Network Tests and improved dashboards for MediaHealthMonitor Tests and Reachability Tests.

  • Refactored code for better optimisation.

  • Upgraded docker containers to the latest version.

v2.0 - Retention Policy, Node Details attributes, Improvements and Bug Fixes

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@dasinha dasinha released this 07 Sep 07:23
e17a3dd

Changelog

  • Added retention policy of 30 days for the tables in Timescale DB. Refer to the README for more details.
  • Scope for Webex app integration to be used has been changed to spark-admin:video_mesh_api_read.
  • Added new panels in "Cluster and Node Details" dashboard to display new node attributes such as deployment type, location, city etc along with a few UI improvements.
  • Bug fixes and code improvements.

Note:
This version is not backward compatible with v1.0 and would need the Timescale Database tables to be recreated.

v1.0 - First Stable Release

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@dasinha dasinha released this 07 Sep 07:31

This marks the first stable release of the VideoMesh API Client

VideoMesh API Client

  • A real-time application that fetches and visualizes data from VideoMesh APIs
  • Displays Cluster Details, Cluster and Node Availability, Cluster Utilization, Call Redirects and so on
  • Interactive charts for monitoring resources and metrics
  • Easy to setup - can be deployed using only a few commands