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New York City
JASON HAND |
DevOps Evangelist
• Over 17 years of experience as a
developer, system administrator,
and support specialist
• Fully emerged into the world of
agile development and the
DevOps movement with Colorado
tech startups
#DevOpsRoadTrip
@jasonhand
Agenda
12:00 - 1:00 p.m. - Lunch
1:00 – 1:15 p.m. – Opening Remarks – Jason Hand
1:15 – 2:05 p.m. – Jason Yee & Aaron Aldrich
2:05 – 2:20 p.m. - Break
2:20 – 3:25 p.m. – Break Out Sessions
3:25 – 3:35 p.m. - Break
3:35 – 4:30 p.m. – Dave Zwieback
4:45 – 6:00 p.m. – Happy Hour
A little about VictorOps…
Incident Management platform combining
real-time data, rich context, automation, and
group collaboration enabling teams to handle
incidents as they occur as well as continuously
improve people, processes, and tools over
time.
#DevOpsRoadTrip
Why Are
We Here?
Culture
Words are how we think – stories are how we link.
- Christina Baldwin
Oral narrative is and for a long time has been the
chief basis of culture itself.
- John D. Niles
Stories from the road
Jason Yee
Datadog
Technical Writer/Evangelist
Jason is a community builder,
developer, traveler and chef. He
currently works as a technical writer &
evangelist at Datadog. When he’s not
working you can often find him on a
plane trying to accumulate more miles
or in a restaurant cooking.
MONITORING 101JASON YEE, DATADOG @GITBISECT
@GITBISECT
EVANGELIST / DOCUMENTARIAN
DEVOPSDAYS PDX / WEB
TRAVEL HACKER
about me:
@DATADOGHQ
SAAS BASED MONITORING
TRILLION DATA POINTS PER DAY
WE’RE HIRING! BIT.LY/DATADOG-JOBS
about Datadog:
DAMON EDWARDS & JOHN WILLIS - DEVOPSDAY LOS ANGELES
WHAT IS DEVOPS? ▸ Culture
▸ Automation
▸ Metrics
▸ Sharing
TW: @gitbisect @datadoghq
TW: @gitbisect @datadoghq
TW: @gitbisect @datadoghq
METRICS
CULTURE, AUTOMATION & SHARING ARE GREAT, BUT WHAT ABOUT
TW: @gitbisect @datadoghq
TW: @gitbisect @datadoghq
TW: @gitbisect @datadoghq
Follow
@honest_update
on Twitter
TW: @gitbisect @datadoghq
COLLECTING DATA IS CHEAP;
NOT HAVING IT WHEN YOU
NEED IT CAN BE EXPENSIVE
SO INSTRUMENT ALL THE THINGS!
TW: @gitbisect @datadoghq
TW: @gitbisect @datadoghq
TW: @gitbisect @datadoghq
TW: @gitbisect @datadoghq
TW: @gitbisect @datadoghq
4 QUALITIES OF GOOD METRICS
NOT ALL METRICS ARE EQUAL
TW: @gitbisect @datadoghq
1. MUST BE WELL UNDERSTOOD
TW: @gitbisect @datadoghq
TW: @gitbisect @datadoghq
2. SUFFICIENT GRANULARITY
METRICS 101
HOW GRANULAR?
▸ AWS: “You can send custom metrics to
Amazon CloudWatch as frequently as you like,
but statistics will only be available at one
minute granularity.”
▸ MS Azure: 1m up to 24h; 1h up to 7d; 1d up
to 30d
▸ Google Stackdriver: 1m
TW: @gitbisect @datadoghq
3. TAGGED & FILTERABLE
TW: @gitbisect @datadoghq
TW: @gitbisect @datadoghq
TW: @gitbisect @datadoghq
Query Based Monitoring
“What’s the average throughput of
application:nginx per version ?”
“Alert me when one of my pod from replication
controller:foo is not behaving like the others?”
“Show me rate of HTTP 500 responses from nginx”
“… across all data centers”
“… running my app version 2….”
TW: @gitbisect @datadoghq
4. LONG-LIVED
TW: @gitbisect @datadoghq
METRICS 101
HOW LONG?
▸ AWS: “Metrics data are available for 2 weeks.
For longer term (>2 weeks) offline storage,
please retrieve your metrics using our
GetMetricStatistics API…”
▸ MS Azure: Minute: 48h; Hour: 30d; Day: 90d
▸ Google Stackdriver: “Time series data points
are kept for 6 weeks and then deleted.”
TW: @gitbisect @datadoghq
When to alert?
TW: @gitbisect @datadoghq
TW: @gitbisect @datadoghq
Cryptic Alerts
W
H
A
T
?
TW: @gitbisect @datadoghq
EVERY ALERT MUST BE ACTIONABLE
RECURSE UNTIL YOU FIND THE TECHNICAL CAUSES
TW: @gitbisect @datadoghq
A PARTICLE AT REST
OR IN MOTION
CONTINUES IN THAT
STATE UNLESS
COMPELLED BY
FORCES TO CHANGE IT.
Newton’s First Law of
Motion
TW: @gitbisect @datadoghq
Examples: Events
METRICS
ALERTING & RESOLVING ISSUES REQUIRES THE RIGHT
TW: @gitbisect @datadoghq
SLIDES: bit.ly/roadtrip-m101
Aaron Aldrich
Cage Data
Director of Support Services
Aaron Aldrich is the Director of Support Services
and DevOps Evangelist at Cage Data. Following
a career that’s been user-facing and
operationally focussed has given him an
empathetic view of technology’s role in our lives.
Aaron is a founding organizer of the DevOps CT
meetup. His writing can occasionally be found on
cagedata.com/blog if it’s greater than 140
characters or on twitter @crayzeigh if fewer.
Managing Fires
leadership’s role in incident management
@CrayZeigh
Aaron Aldrich
@CrayZeigh
DevOps Consultant
Cage Data, Inc.
cagedata.com/devops/
use your tools for little fires
@CrayZeigh
context
@CrayZeigh
runbooks
@CrayZeigh
automation engines
@CrayZeigh
escalation
processes
@CrayZeigh
crisis requires a team and
leadership
@CrayZeigh
bestow
leadership
before
crisis
@CrayZeigh
crisis leaders should be authorized to make
important business decisions
@CrayZeigh
delegate authority as far as
possible
@CrayZeigh
Troubleshooting
101
@CrayZeigh
“Never let a serious crisis go to waste. What I mean
by that it’s an opportunity to do things you think
you could not do before.”
-Rahm Emanuel
@CrayZeigh
take it incrementally
@CrayZeigh
what will make it work?
@CrayZeigh
what will make it whole?
@CrayZeigh
“Brevity is the
soul of wit.
Specificity is
the soul of
narrative
[getting work
done]”
@CrayZeigh
make work
visible to all
@CrayZeigh
@CrayZeigh
leaders handle human
problems
@CrayZeigh
More on the plate,
less on the mind
@CrayZeigh
manage your bench
@CrayZeigh
make sure team
members are available
to make substitutions
@CrayZeigh
tell people to stop
working and get
rest
@CrayZeigh
@CrayZeigh
public communication
@CrayZeigh
communicate
quickly
@CrayZeigh
update
your
customers
often
@CrayZeigh
be honest
@CrayZeigh
empower your team,
remove barriers
@CrayZeigh
Q&A
Break Time
Breakout Sessions
◻ Burnout – Aaron Aldrich
◻ Why + How ChatOps? – Jason Hand
◻ Learning Reviews – Dave Zwieback
◻ Monitoring – Jason Yee
#DevOpsRoadTrip
Dave Zwieback
x.ai
VP of Engineering and Data Science
Dave Zwieback has been working with complex,
mission-critical I.T. services and teams for two
decades. His career spans small high-tech
startups, non-profits, and behemoth engineering,
financial services, and pharmaceutical firms. He
is currently the VP of Engineering and Data
Science at x.ai. Dave is the author of “Beyond
Blame: Learning From Failure and Success”
(http://bit.ly/beyondblame). You can follow follow
Dave @mindweather.
Q&A
What we really want is to..
Continuously
Improve
Automatio
n
Awarenes
s
Collaboratio
n
Documentatio User Empathy
Learnin
g
Key Themes
The systems we engineer, maintain, and improve are
Complicated
.. or ..
Known
unknowns
The systems we engineer, maintain, and improve are
ComplexUnknown
unknowns
Failure in a complex
system is inevitable which
is EXACTLY why learning
from it is so critical.
jhand.co/DRT_NYC
Learning
Failure not seen as opportunity to learn
Source: “Six Trends Shape DevOps Adoption, Q1 2015”, Forrester report
Awareness
http://blog.vmware.co
© 2015 Forrester Research, Inc. Reproduction Prohibited 19
Single Source Of Truth Lacking In Many
Orgs – 95% only most of the time or less
Source: April 15, 2015 “Six Trends That Will Shape DevOps Adoption”, Forrester report
Collaboration
http://neolivemarketing.com/wp-content/uploads/2015/09/Collaboration.jpg
Teams siloed throughout life cycle
Source: “Six Trends Shape DevOps Adoption, Q1 2015”, Forrester report
User Empathy
https://open.buffer.com/wp-content/uploads/2015/12/empathy3.jpg
© 2015 Forrester Research, Inc. Reproduction Prohibited 23
IT teams aren’t measured on customer
experience goals.
Automation
http://thelifedesignproject.com/wp-content/uploads/2009/09/373881476_217d24ef6d.jpg
Delays In Notifications Leads To
Customers Finding the Problem First
Source: “Six Trends Shape DevOps Adoption, Q1 2015”, Forrester report
Documentation
Reduce MTTR
State of DevOps Report (2015)
– by Puppet Labs
Automatio
n
Awarenes
s
Collaboratio
n
Documentatio User Empathy
Learnin
g
Key Themes
jhand.co/DRT_NYC
Raffle
How do you
Score?
TimeToRepair(TTR)
Continuous Improvement Efforts
Reactive (0 – 4)
(chaotic)
Tactical (5 – 9)
(obvious)
Integrated (10 -14)
(complicated)
Strategic (15 – 18)
(complex)
✓ No automation
✓ No operational stack
awareness
✓ Poor collaboration between
teams (Dev & Ops)
✓ Documentation not available
✓ No standardized
communication
✓ High focus on consistent
continuous learning
✓ Uses a NOC
✓ Some monitoring & alerting
instrumentation
✓ Collaboration in crisis
✓ "Mission critical" processes are
available
✓ Understood crisis
communication protocols
✓ Remediation data available to
IT Operations
✓ Team rotations, paging
policies, role hunting
✓ Continuous improvement of
key health indicators
✓ Technical collaboration across
all incidents
✓ Docs up to date and easily
accessible
✓ Consistent real-time
communication practices
✓ Automated docs and remediation
✓ Actionable Alerts with full context
✓ High collaboration among all teams
✓ Documentation part of remediation
✓ Targeted, proactive crisis comms
✓ High focus on continuous learning
Incident
Management
Maturity
2016 State Of On-call Survey:
jhand.co/SOOC2016
Happy Hour
Co-Sponsored by
#DevOpsRoadTrip
DENVER - SEATTLE - SAN FRANCISCO - MINNEAPOLIS - NEW YORK CITY

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