There are many systems that need monitoring -- Applications, Infrastructure, Network, Servers all producing metrics, logs, events etc. There are also many vendors selling their APM, NPM, Tracing, monitoring and alerting tools. But how does an organization get to that mythical single pane of glass where there is one consolidated view across these systems? This webinar will look at 5 practical steps that our customers have taken on this journey and what business results they have seen as they have moved to a centralized metric and event store while still leveraging their existing investments in specialized tooling and applications.

1. December 13, 2017
5 steps to achieving the single
pane of glass

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Agenda
● Overview of 5 steps
● Why InfluxData
● Customer examples
● Questions & Answers

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Introduction
Russ Savage, Product Manager Chris Churilo, Dir. Product Marketing

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At a glance
Founded
Mission
Focus
Difference
Traction
Business Model
2013
San Francisco Headquarters
Be the Modern Engine for metrics and events
Purpose built Time Series Data Platform
Sensor, Infrastructure and Business Process Monitoring
One foundation platform to monitor and control the physical and virtual world
Purpose built, fastest time to awesome, real actions in real-time
Clear leadership in the fastest growing segment of the database work
~110,000 unique active deployments, 365+ customers
Including: IBM, Cisco, PayPal, SAP, Comcast, Tesla, and Siemens
Open source distribution with closed source economics
12,116 Github stars

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Three Massive
Changes to the
Technology
Landscape

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TRENDS
1 APPLICATIONS
From Mono to Micro
MicroservicesMonolithic
Client/
Server
N-Tier
2
3
INFRASTRUCTURE
Mainframe to Containers
DATA CAPTURE
Explosion of IoT Sensors
Mainframe Servers VMs
Laptops Machines Wearables
Containers
Sensors

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Challenges our customers continue to face
¨ Many monitoring solutions including multiple monitoring point solutions (system, app
performance, & business process)
¨ Limitations of existing solutions
¨ Ability to create aggregation of visualizations
¨ Restrictive data retention policies
¨ Metrics are locked down
¨ Capacity planning is manual
¨ Collecting new metrics is time consuming

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Collect
Correlate
& Triage
Notify &
Act
Predict
What if
analysis
Monitoring Maturing Model
Identify
Trends

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¨ Inventory what you are collecting today
¨ Why are you collecting data - understanding the goal
¨ How do you collect
¨ Known file locations or specialized agents
¨ Push vs Pull metric collection
¨ What are you missing
1 STEP 1:
Collect the data

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¨ Data dimensionality: different frequencies, different
time frames & different sources
¨ Established baselines for basic availability
¨ What are you missing?
2 STEP 2:
Correlate and triage

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¨ Forecast based on historical data
¨ Establish thresholds for alerting
¨ Managing inventory - do you know what your safety
levels are?
3 STEP 3:
Identify trends

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¨ Manual
¨ Automate
¨ Faster
4 STEP 4:
Notify and act

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¨ The nirvana of the DevOps world
¨ Optimal point to balance costs and availability
5 STEP 5:
Predict (What if analysis)

14. How InfluxData can help

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• High volume of real-time writes
• Irregular (events) and regular (metrics)
• Retention policies
New workload requirements
• Aggregation and summation time-based functions
• Large range scans of many records
• Ordering, ranking, and limiting
Time-based queries
• Distributed by design
• Fast and consistent
• Always available
Scalability and availability
Introducing
The Modern Engine for Metrics and Events

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Nordstrom, Inc. is an
American chain of
department stores. The
company has 349 stores
operating across North
America.
DEVOPS USE CASE: Nordstrom
Why InfluxData:
⠕ Feature rich - It is fast, uses less space and has a rich retention policy capability
⠕ Full life-cycle management – easy to manage the full life-cycle of their
time-series data
⠕ Support – Enterprise support
Lisa Gao - Developer Manager at Nordstrom
We use InfluxData company wide to gather
operational metrics for the business. It is fast,
requires minimal space, and has a rich
retention policy capability.
“

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Purpose built for the cloud,
Coupa delivers the only
spend management platform
that unifies business
processes across all the
ways employees spend
money.
DEVOPS USE CASE: Coupa
Why InfluxData
⠕ Multiple monitoring point solutions
⠕ Solutions with severe limitations (data not accessible, restrictive data retention
policy, metrics locked in SaaS data store)
⠕ Collecting additional metrics was time consuming
⠕ Capacity planning & forecasting was manual and complex
Sanket Naik - VP Cloud & Security at Coupa
We process a high volume of transactions daily
and are constantly looking to provide a
near-100% uptime… when we looked at our
monitoring landscape in 2016 we realized we
needed to refactor our approach in order to meet
the success criteria & deliver on ensuring
customer success.
“

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NewVoiceMedia is a Cloud
based Contact Centre
solution - Intelligently
manage inbound or
outbound communication
across voice, email, chat,
social media
DEVOPS USE CASE: NewVoiceMedia
Why InfluxData:
⠕ Support for high resolution data to support 99.999% guarantee
⠕ Full control over retention policies and rollups
⠕ Ability to collect data from any system - custom data from an app (in a plug
and play fashion) or from legacy systems
Jack Tench - Senior Software Engineer
There was no way we could react to change
with our existing solution. The only thing we
could react to were customer complaints.
“

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Collect
Correlate
& Triage
Notify &
Act
Predict
What if
analysis
Monitoring Maturity Model
Identify
Trends

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Questions?

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Next Steps
Visit InfluxData.com
Download the TICK Stack or try InfluxEnterprise
Ask Questions on the community: community.influxdata.com