Profiling GStreamer applications with HawkTracer and tracing subsystem

Keyboard shortcuts

Key

Action

K or space

Play / Pause

Mute / Unmute

Select next subtitles

Select next audio track

Show slide in full page or toggle automatic source change

left arrow

Seek 5s backward

right arrow

Seek 5s forward

shift + left arrow or J

Seek 10s backward

shift + right arrow or L

Seek 10s forward

control + left arrow

Seek 60s backward

control + right arrow

Seek 60s forward

shift + down arrow

Decrease volume

shift + up arrow

Increase volume

shift + coma

Decrease playback speed

shift + dot or shift + semicolon

Increase playback speed

end

Seek to end

beginning

Seek to beginning

Loading Click here to add:

Information on this media

Creation date:

October 26th, 2018, 12:36 p.m.

Add date:

October 29th, 2018, 12:08 p.m.

Number of views:

92 (this month: 3)

Speaker:

Marcin Kolny

Company:

Amazon

License:

CC BY-SA 3.0

Visibility:

This media is published

Description

HawkTracer is lightweight and low-overhead profiler that allows to define custom trace events and provides infrastructure to create post-run and live data analyzers. In this talk, I'd like to demonstrate how can GStreamer applications be profiled and tuned in real time using HawkTracer, GStreamer Tracing subsystem and gst-debugger. I'll explain base concepts of HawkTracer, how to extend the profiler and how to integrate it to existing applications and GStreamer plugins(e.g. gst-shark tracing plugins) to get live profiling data.

Marcin is a software development engineer at Amazon. He spends his free time on contributing to several open source projects. For a few years he's been also a member of GNOME Foundation, where he maintains gstreamermm library and gst-debugger application, and contributes to a few other (mostly C++ related) projects.

Marcin's started using GStreamer framework couple of years ago in his previous job, where he was responsible for delivering video library for UAV system.