WMSPanel collaborates with Nimble Streamer via sync-ups exchange.
Showing posts with label data. Show all posts
Showing posts with label data. Show all posts
June 24, 2015
September 17, 2014
End-user access for WMSPanel API
WMSPanel has a set of APIs which allows requesting aggregated pre-processed data and take it into customer environment for further processing.
August 22, 2014
Disaster recovery for Wowza agent
WMSPanel interacts with Wowza Streaming Engine agent via the "agent" - it's an add-on which is installed into Wowza. This agent is sending statistics data to WMSPanel service for further processing.
August 5, 2014
June 12, 2014
ISP networks report
Internet service provider is one of the key elements of delivery chain between a media hoster and a viewer.
May 21, 2014
October 7, 2013
UPDATE: WMSPanel users management
We've released s small update for our users management feature set.
Labels:
data,
management,
reporting,
servers,
slice,
user,
user management,
WMSPanel
July 4, 2013
Stream-based data slices
We introduced data slices concept in late 2011 and changed it to properly cover Wowza Media Server in early 2012.
March 17, 2013
Screencast for data slices and white label
Yes, we have another screen cast out.
Labels:
admin,
data,
reporting,
screencast,
slice,
statistics,
white label,
Wowza,
youtube
March 8, 2013
Advanced MediaCaster and LiveStreamRecord streams control
A number of our customers were requesting an ability to control Wowza streams via single control panel.
March 7, 2013
User permissions management
As our data slices concept is being used by larger number of customers, they face the need for extending user permissions settings for their accounts in WMSPanel.
Labels:
admin,
data,
management,
permission,
report,
reporting,
slice,
user
December 4, 2012
Data slices concept in a nutshell
A typical streaming service provider has some assets which is used by several customers in parallel.
May 22, 2012
Wowza data loss reporting and analysis
We all know that data transmission is far from being perfect. Since media data transmission operates with huge amounts of data, most streaming companies face with losses problem, especially within peak hours.
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