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Data-Driven Operations
Practice realtime data analyse
@khsing
Who am I

•

Currently, I am a operations architect in SINA.

•

Focus on automation tools and devops method
What kind of data is for
operations?
Before we talk data
How is one day of ops?
•

Check the Dashboard and looks good.

•

Start work, write scripts or configurations

•

Suddenly, Receiving alert SMS/Email or problem
reported by CS.

•

Start work with event/problem/outage
You are the Fireman
http://www.flickr.com/photos/40699207@N05/3838012090/
Find the problem
•

take a look at Dashboard, Nagios, and monitor

•

grep logs from hundreds of host.

•

watch the network diagram

•

guess what is going wrong
Driven by problem
Passive
Be Active
Let’s talk data
datas
•

Logs
•

Access log, error log, exception log, step log

•

Configuration Change log, Release log

•

Performance Measurement

•

Product operations data.
Logs

•

Success is useless.

•

Error is useful.
Process logs
•

Realtime or near realtime take big benefit

•

You can’t waste 1 hour when problem really happen

•

You have to feel problem before too many users
blame.
Process Logs

•

Automatically category.
Normal logs
Categorised logs
Performance Measurement
•

How fast when end-user visit our website?

•

Where are they come from?

•

Which datacenter are they visited?

•

What the slow/fast user ratio?
Product Operations Data

•

like DAU
•

Drop, Spike, Increase are event, need take action.
Change/Release log
•

Many problem come with Change or Release

•

You have to watch those data after you did a change
or release.

•

Change/Release log have to visible on dashboard.
Change/Release log
Be active
Don’t defensive
Attack is the best form of defence

–Olbrich Desouza
Tools
•

Splunk - commercial

•

Logstash, ElasticSearch, Kibana

•

Graphite

•

StatsD
Q&A

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