A detailed presentation on an analytics tool called librato. Detailed discussion on how to get metrics documented and create instruments, dashboards and Alerts

1. Librato
One Platform. Unlimited
Metrics.
Monitoring Zen
Vinay Raj.
Software Engineer - Mobile

2. Why Analytics ?

3. Importance of Analytics ??
❖ War is ninety percent information
— Napolean Bonaparte, French military and political leader
❖ In God we trust, rest all must bring data
—W. Edawards Deming
❖ The goal is to turn data into information and information
into insight
—Carly Fiorina, Former CEO, HP
❖ The price of light is less than the cost of darkness
— Arthur C.Nielsen, Market Researcher & Founder of ACNielsen

4. Librato - Analytics. Why ?
❖ Easy Data Collection
❖ Composite Metrics
❖ Beautiful Visual Insights
❖ Alerts
❖ Rich source for Integration
❖ Easy Bookmarking and Sharing

5. Metrics
❖ The primary data that a client send to Librato.
❖ Anything recorded on Librato
❖ Can be pulled in via
1. Command Line
2. Language Bindings
3. Collection Agents

6. Types of Metrics
Gauge
❖ Value varies between known min and max
❖ Series of measurements where each represents value under observation at one point in
time
❖ Examples are - number of requests/second sent by a device, current disk space, %CPU
utilization etc.
Counters
❖ Values are unbounded and always monotonically increasing in a given run
❖ Values are plotted
❖ Librato only plots the delta for counters.
❖ Example - Number of bytes tranferred and received on each network port of router.
Data bytes increase here monotonically.

7. Programing Time - Lets get some data in there !!
❖ We shall quickly see a script that can send in some data
to our libretto account.
❖ We shall send the CPU utilisation and Memory
Utilisation details of the machine over a period of 10
secs
❖ We shall use the API of Librato to send metrics and
execute our script in the terminal.

8. Metrics Management
Attributes
❖ Y - Axis Label
❖ Tooltip Label
❖ Period
❖ Display Min
❖ Display Max
❖ Sample Display Transform
❖ Color
❖ Data Aggregation
❖ Service Side Aggregation
❖ Stack Metric Sources
❖ Gap Detection

10. Instruments - What they are ??
❖ Composite metrics visual representation
❖ They are used to populate the dashboard
❖ Quickly know how the system performs based on the
conglomerated data for related set of metrics
❖ The hierarchy of data collection is as follows
Metrics —> Instruments —> Dashboards

11. Instruments In Action

12. Co-Relate
❖ Used for creating Instruments
❖ Select a metric (Click on the + button on the metric to add it to a instrument)
❖ Select a Source Type (Select the sources of the metric that you want to add as a part
of the instrument)
❖ Stream Composition (Choose the aggregate rule for composing the metrics from
various resources in the instruments)
❖ Manage Metric Attributes (Can share a Y axis for multiple metrics)
❖ Maximizing the graph (Use the controls on the co-relate to resize the graphs)
❖ Stacked Graps (When metrics are related we can stack them to see gruoped result)
❖ Display Integral (Shows the value in numbers for the metrics in the period super
imposed on the graph on a instrument)

13. Co-Relate In Action

14. Dashboards
❖ Aggregation Of Instruments for quick view
❖ Can be shared easily with other collaborators
❖ Instruments in a dashboard can be removed, re-
organised and added easily

15. Sample Dashboard

16. Alerts - Lets see how they work
❖ Alert Name
❖ Description
❖ While Triggering notify every
❖ Runbook Url
❖ Alert Conditions
❖ Notification Services

17. Out of the box Notification Services
❖ Email
❖ Slack
❖ Campfire
❖ Flowdock
❖ HipChat
❖ OpsGenie
❖ PagerDuty

18. References
❖ http://blog.librato.com/
❖ https://www.librato.com/
❖ https://www.librato.com/product
❖ http://dev.librato.com/v1/metrics

19. –Vinay
Thanks !