Librato One Platform. Unlimited Metrics.Monitoring Zen

Vinay Raj. Software Engineer - Mobile

Why Analytics ?

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

Librato - Analytics. Why ?

❖ Easy Data Collection

❖ Composite Metrics

❖ Beautiful Visual Insights

❖ Alerts

❖ Rich source for Integration

❖ Easy Bookmarking and Sharing

Metrics

❖ The primary data that a client send to Librato.

❖ Anything recorded on Librato

❖ Can be pulled in via1. Command Line

2. Language Bindings

3. Collection Agents

Types of MetricsGauge ❖ 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.

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.

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

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

Instruments In Action

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)

Co-Relate In Action

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

Sample Dashboard

Alerts - Lets see how they work

❖ Alert Name

❖ Description

❖ While Triggering notify every

❖ Runbook Url

❖ Alert Conditions

❖ Notification Services

Out of the box Notification Services❖ Email

❖ Slack

❖ Campfire

❖ Flowdock

❖ HipChat

❖ OpsGenie

❖ PagerDuty

References

❖ http://blog.librato.com/

❖ https://www.librato.com/

❖ https://www.librato.com/product

❖ http://dev.librato.com/v1/metrics

–Vinay

Thanks !