Accidental DataOps

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Usually, DataOps means applying DevOps principles to existing data analytics projects. We accidentally reversed it, taking a DevOps initiative and catalyzing adoption of data-driven practices across our company. What started as a practical initiative to bring better reliability and visibility to our software product had the unexpected effect of catalyzing a transformation that helped our organization become more data-driven across the company. What we learned in the process was how and why DevOps principles can naturally expand the role of a traditional operations team and bring wider culture change to the organization.

How we matured our organization
with data, and how you can too!
Accidental DataOps
Steve Ross
@stevewritescode
DevOpsDays Detroit 2019

DevOpsDays Detroit 2019 @stevewritescode
Using data to help teams
is at the heart of
DevOps

DevOpsDays Detroit 2019 @stevewritescode
Petabytes
Facebook’s internal
analytics data
warehouse
Million
Builds per month
on CircleCI
Million
Github commits
last year
300 30 70

DevOpsDays Detroit 2019 @stevewritescode
You can do it!
Start small.
Help people with data.

8
Hi! I’m Steve.
(he/him)
@stevewritescode Software Architect
Mandiant, FireEye
Program Manager
GE, Microsoft
Data Engineering Manager
Endgame, Elastic
DevOpsDaysDC Organizer

DevOpsDays Detroit 2019 @stevewritescode
DataOps
The cross-functional
collaborative principles of DevOps
applied to data analytics

DevOpsDays Detroit 2019 @stevewritescode

DevOpsDays Detroit 2019 @stevewritescode
Our DataOps Story1
Spread The Word3
Challenges4
Tech Tips2
Today’s Talk

DevOpsDays Detroit 2019 @stevewritescode
Our DataOps Story
The Tip of the
Iceberg
1

DevOpsDays Detroit 2019 @stevewritescode
tarball
jq
grep
profit
?
SCP / email / ??
Analytics Hunting and Gathering

DevOpsDays Detroit 2019 @stevewritescode
tarball
jq
grep
profit
?
SCP / email / ??
Analytics Hunting and Gathering
Highly
recommend!

DevOpsDays Detroit 2019 @stevewritescode
tarball
jq
grep
profit
?
SCP / email / ??
Analytics Hunting and Gathering
Too much power,
too early
Annoying
free tier
Highly
recommend!

DevOpsDays Detroit 2019 @stevewritescode
Alert Volume by Customer
Total
User A
User B
User C
User D

DevOpsDays Detroit 2019 @stevewritescode
Alert Volume by Customer
Total
User A
User B
User C
User D
Global
Spike

DevOpsDays Detroit 2019 @stevewritescode
Alert Volume by Customer
Total
User A
User B
User C
User D
User D starts a trial
User
Spike!
Global
Spike

DevOpsDays Detroit 2019 @stevewritescode
Our DataOps Story
The Second
System Effect
1 2

DevOpsDays Detroit 2019 @stevewritescode
The Second System Design
HTTP/2

DevOpsDays Detroit 2019 @stevewritescode
Joining Data
Alert counts + Sales Lifecycle Data = Sales Indicators

DevOpsDays Detroit 2019 @stevewritescode
Joining Data
Alert counts + Sales Lifecycle Data = Sales Indicators
HTTP logs + User Industry/Size = Customer Engagement

DevOpsDays Detroit 2019 @stevewritescode
Our DataOps Story
Doubling
Down
1 2 3

DevOpsDays Detroit 2019 @stevewritescode
The Emergent Design
Under-utilized
streaming
processing

DevOpsDays Detroit 2019 @stevewritescode
Tech + Culture = DataOps

DevOpsDays Detroit 2019 @stevewritescode
Tech Tips

DevOpsDays Detroit 2019 @stevewritescode
Tech Tips
1. You Are Not Google

DevOpsDays Detroit 2019 @stevewritescode
Tech Tips
1. You Are Not Google
2. Invest in Self-Service

DevOpsDays Detroit 2019 @stevewritescode
Tech Tips
1. You Are Not Google
2. Invest in Self-Service
3. Join All The Data

DevOpsDays Detroit 2019 @stevewritescode
Spread the Word
1. Sales ● Trials / Pre-sales
● Renewal / Retention
● Upsell / Cross-sell
@stevewritescode

DevOpsDays Detroit 2019 @stevewritescode
Spread the Word
1. Sales
2. Support
● Quick Triage
● Signal vs. Noise
● Ultimate self-service user
@stevewritescode

DevOpsDays Detroit 2019 @stevewritescode
Spread the Word
1. Sales
2. Support
3. Product
● Engagement & Usage
● Ad-hoc queries
@stevewritescode

DevOpsDays Detroit 2019 @stevewritescode
Spread the Word
1. Sales
2. Support
3. Product
4. Management
● Most in need of data
● Polished reports
● Sponsorship
@stevewritescode

DevOpsDays Detroit 2019 @stevewritescode
Challenges
1. Data Governance

DevOpsDays Detroit 2019 @stevewritescode
Challenges
1. Data Governance
2. Testing

DevOpsDays Detroit 2019 @stevewritescode
Challenges
1. Data Governance
2. Testing
3. Productization

DevOpsDays Detroit 2019 @stevewritescode
You can do it!
Start small.
Make data available.

DevOpsDays Detroit 2019 @stevewritescode
More Info
Ashish Thusoo, Joydeep Sen Sarma
“Creating a Data-Driven Enterprise with DataOps”
Oz Nova - “You Are Not Google”
https://medium.com/p/you-are-not-google-84912cf44afb
Nathen Harvey - “DevOps Is Dead” DevOpsDaysDC ‘16
https://youtu.be/H8M69Ljiito?t=11394

DevOpsDays Detroit 2019 @stevewritescode
Thank you!
@stevewritescode
We’re hiring!

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Managing Director - Dave Rohrer, YAHOO

DigiMarCon - Digital Marketing, Media and Advertising Conferences & Exhibitions

Everyday we are documenting and writing up JIRA tickets, talking with developers or clients, sending emails, submitting bugs, creating SEO recommendations, and much more. So what do business owners, clients, product teams and IT actually care about? Dave walks through his years of working in the agency, in-house and consulting spaces to help you get the most out of your time spent digging and doing various explainers and writeups.

Unlock your Big Data with Analytics and BI on Office 365

Brian Culver

Companies have huge amounts of data waiting to be explored. With Azure HDInsights you can realize the value of your data. With Microsoft Excel 2013 and Office 365, you have a complete platform for BI solutions and services. Power BI allows companies to manipulate and study a variety of data points, gain actionable insights and share their insights. PowerPivot, Power View, Power Query, Power Map and Power BI Sites let users analyze and make decisions using structured and unstructured data. Attendee Takeaways: 1. Learn to setup and configure HDInsights on Microsoft Azure. 2. Understand how to use Excel for BI capabilities. 3. Build a BI Dashboard in Office365.

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1. How we matured our organization with data, and how you can too! Accidental DataOps Steve Ross @stevewritescode DevOpsDays Detroit 2019

2. DevOpsDays Detroit 2019 @stevewritescode Using data to help teams is at the heart of DevOps

3. dashboards.gitlab.com

6. DevOpsDays Detroit 2019 @stevewritescode Petabytes Facebook’s internal analytics data warehouse Million Builds per month on CircleCI Million Github commits last year 300 30 70

7. DevOpsDays Detroit 2019 @stevewritescode You can do it! Start small. Help people with data.

8. 8 Hi! I’m Steve. (he/him) @stevewritescode Software Architect Mandiant, FireEye Program Manager GE, Microsoft Data Engineering Manager Endgame, Elastic DevOpsDaysDC Organizer

9. DevOpsDays Detroit 2019 @stevewritescode DataOps The cross-functional collaborative principles of DevOps applied to data analytics

10. DevOpsDays Detroit 2019 @stevewritescode

11. DevOpsDays Detroit 2019 @stevewritescode

12. DevOpsDays Detroit 2019 @stevewritescode Our DataOps Story1 Spread The Word3 Challenges4 Tech Tips2 Today’s Talk

13. DevOpsDays Detroit 2019 @stevewritescode Our DataOps Story The Tip of the Iceberg 1

14. DevOpsDays Detroit 2019 @stevewritescode tarball jq grep profit ? SCP / email / ?? Analytics Hunting and Gathering

15. DevOpsDays Detroit 2019 @stevewritescode tarball jq grep profit ? SCP / email / ?? Analytics Hunting and Gathering Highly recommend!

16. DevOpsDays Detroit 2019 @stevewritescode tarball jq grep profit ? SCP / email / ?? Analytics Hunting and Gathering Too much power, too early Annoying free tier Highly recommend!

17. DevOpsDays Detroit 2019 @stevewritescode Alert Volume by Customer Total User A User B User C User D

18. DevOpsDays Detroit 2019 @stevewritescode Alert Volume by Customer Total User A User B User C User D Global Spike

19. DevOpsDays Detroit 2019 @stevewritescode Alert Volume by Customer Total User A User B User C User D User D starts a trial User Spike! Global Spike

20. DevOpsDays Detroit 2019 @stevewritescode Our DataOps Story The Second System Effect 1 2

21. DevOpsDays Detroit 2019 @stevewritescode The Second System Design HTTP/2

22. DevOpsDays Detroit 2019 @stevewritescode Joining Data Alert counts + Sales Lifecycle Data = Sales Indicators

23. DevOpsDays Detroit 2019 @stevewritescode Joining Data Alert counts + Sales Lifecycle Data = Sales Indicators HTTP logs + User Industry/Size = Customer Engagement

24. DevOpsDays Detroit 2019 @stevewritescode Joining Data Alert counts + Sales Lifecycle Data = Sales Indicators HTTP logs + User Industry/Size = Customer Engagement HTTP logs + Machine Learning = Recommendation Engines

25. DevOpsDays Detroit 2019 @stevewritescode Joining Data Alert counts + Sales Lifecycle Data = Sales Indicators HTTP logs + User Industry/Size = Customer Engagement HTTP logs + Machine Learning = Recommendation Engines Big batches! 🤯

26. DevOpsDays Detroit 2019 @stevewritescode Our DataOps Story Doubling Down 1 2 3

27. DevOpsDays Detroit 2019 @stevewritescode The Emergent Design Under-utilized streaming processing

28. DevOpsDays Detroit 2019 @stevewritescode Tech + Culture = DataOps

29. DevOpsDays Detroit 2019 @stevewritescode Tech Tips

30. DevOpsDays Detroit 2019 @stevewritescode Tech Tips 1. You Are Not Google

31.

32. DevOpsDays Detroit 2019 @stevewritescode Tech Tips 1. You Are Not Google 2. Invest in Self-Service

33. Point and click SQL!

34. DevOpsDays Detroit 2019 @stevewritescode Tech Tips 1. You Are Not Google 2. Invest in Self-Service 3. Join All The Data

35. Spread The Word

36. DevOpsDays Detroit 2019 @stevewritescode Spread the Word 1. Sales ● Trials / Pre-sales ● Renewal / Retention ● Upsell / Cross-sell @stevewritescode

37. DevOpsDays Detroit 2019 @stevewritescode Spread the Word 1. Sales 2. Support ● Quick Triage ● Signal vs. Noise ● Ultimate self-service user @stevewritescode

38. DevOpsDays Detroit 2019 @stevewritescode Spread the Word 1. Sales 2. Support 3. Product ● Engagement & Usage ● Ad-hoc queries @stevewritescode

39. DevOpsDays Detroit 2019 @stevewritescode Spread the Word 1. Sales 2. Support 3. Product 4. Management ● Most in need of data ● Polished reports ● Sponsorship @stevewritescode

40. Challenges

41. DevOpsDays Detroit 2019 @stevewritescode Challenges 1. Data Governance

42. DevOpsDays Detroit 2019 @stevewritescode Challenges 1. Data Governance 2. Testing

43. DevOpsDays Detroit 2019 @stevewritescode Challenges 1. Data Governance 2. Testing 3. Productization

44. DevOpsDays Detroit 2019 @stevewritescode You can do it! Start small. Make data available.

45. DevOpsDays Detroit 2019 @stevewritescode More Info Ashish Thusoo, Joydeep Sen Sarma “Creating a Data-Driven Enterprise with DataOps” Oz Nova - “You Are Not Google” https://medium.com/p/you-are-not-google-84912cf44afb Nathen Harvey - “DevOps Is Dead” DevOpsDaysDC ‘16 https://youtu.be/H8M69Ljiito?t=11394

46. DevOpsDays Detroit 2019 @stevewritescode Thank you! @stevewritescode We’re hiring!

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