Author(s):	Mark Walkom, Karen Carcamo
Location	A3
Date	jan Thu 24	Days Raw Files
Start	10:40	First Raw Start	10:14
Duration	0:100:0	Offset	0:25:56
End	12:20	Last Raw End	12:44
Chapters	00:00 0:03:02 0:33:02 1:03:02 1:33:01
Total cuts_time	93 min.

https://2019.linux.conf.au/schedule/presentation/161/
raw-playlist raw-mp4-playlist encoded-files-playlist host public tweet mp4 svg png

assets release.pdf Awesome_Monitoring_Infrastructure_Using_the_Elastic_Stack.json
logs
Admin: episode episode list cut list raw files day marks day marks day image_files

State:	--------- borked edit encode push to queue post richard review 1 email review 2 make public tweet to-miror conf done
Locked:	clear this to unlock
Locked by:	user/process that locked.
Start:	initially scheduled time from master, adjusted to match reality
Duration:	length in hh:mm:ss
Name:	Video Title (shows in video search results)
Emails:	email(s) of the presenter(s)
Released:	Unknown Yes No has someone authorised pubication
Normalise:
Channelcopy:	m=mono, 01=copy left to right, 10=right to left, 00=ignore.
Thumbnail:	filename.png
Description:	IoT is great, until something breaks or you want to see how things perform at scale! To handle the volumes of data that any IoT project can generate, many developers default to Open Source tool chains to capture and analyse logs and metrics, and then pinpoint errors, faults or inefficiencies in their systems. One of the most widely used Open Source tools for this is the Elastic Stack: * Beats as a lightweight agent/forwarder of data. * Logstash for further parsing and enrichment. * Elasticsearch doing the hard work of storing and analysis. * Kibana for powerful visualisations. This workshop gives you an overview of the four technologies, how they work together and how, from microservice logs to IoT metrics to containerised apps, it has you covered. At the end of the workshop, you'll walk away with a set of connected Docker containers capturing logs and metrics from your laptop, a head start on dashboards for analysis, and ideas to deploy for your next project. markdown
Comment:	production notes