Presentation at IC3 IT and Cloud Computing conference in Seattle April 17, 2015 (http://icee3.com/). A look at DevOps, Big Data, Startups, Changes in Software Engineering and Business, and their implications for Enterprise IT

1. Straightforward Capital and Advice for Technical Entrepreneurs
Enterprise Adoption of Cloud and DevOps
Divergent Ventures Managing Director Todd Warren
(www.divergentvc.com )twitter @toddwseattle

2. 2
Agenda
• A short history of software development
• What technology and cultural trends are driving change
• Decisions and Puzzles in the current IT Landscape
• Scoring Cultural and Process Maturity Compared to Startups

3. 3
Where I come from
Beginning
• Small Teams
• Simple Toolset
• Limited Dependencies
• Static Deliverables
• 12 to 18 mo cycles
Middle
• Massive Teams
• Networked Tools
• High Interdependency
• Semi-Dynamic Delivery
• 24month+ Cycles
Today
• 2 Pizza Teams
• Cloud
• Service Composition
• Continuous Delivery
• Weekly to Daily Cycles

4. 4
Where We Came From
Source: US Military Computer Image Archive Courtesy of Michael John Muuss

5. 5
60’s
• Compiler (Grace
Hopper)
• Large Scale Software
Systems
(Brooks/Humphreries)
70’s
• Modular, Portable
Systems (UNIX)
• Source Control
(SCCS)
• (Thompson,
Kernighan, Ritchie..)
80’s
• Waterfall
methodologies
• Modular and Object
oriented systems (Ada
etc.)
• Modeling Language
(e.g. UML)
90’s
• Open Source
Software
• Agile Methodologies
• Graphical
Development
Environments
• Patterns
2000’s
• ‘Data Center as the
Computer’
• Stateless Protocols
• Eventually
Consistent
A Brief History of Software Engineering
Today:
• ‘Dev Ops’
• Continuous Deployment
• Very Large Scale
Frameworks
• Cloud Services
• Distributed Source Code
Control

6. 6
Tech Trends
Storage
Cheaper, Denser(<$.05/GB)
Faster (Flash Below $5/GB)
Data
Sensors
Machine Activity
Human Activity
Cloud
Elastic
Distributed
Need for Security
Utility Computing
Multi-Device
Mobile
Occasionally Connected
BYOD

7. 7
Mobile
Networks
(10PB/Day)
Unmanned Aerial
Vehicles
(100PB/Day)
Yesterday’s Big Data
is today’s Small Data

8. 8
Some of Divergent’s Bets
Value Trend
Hardware Independent
OpenStack Implementation
Private Cloud
Elastic Computing
Realtime Spatial Data Analysis
at Scale
Even Bigger Data
Sensors
GeoSpatial
Message Queueing
Asynchronous Task Management
Composable Web Services
Elastic Scale
On-Demand Computing
Distributed Security for
SQL and Hadoop
Secure Data Access
Hadoop
Hybrid Application Enablement
Social Proof at Scale
for Brands
Mining of Social Data
Composable Services
Next Generation eCommerce

9. 9
Entrepreneurial API:
A cultural Revolution
+
+
Part 1
Part 2
Agile Engineering
Part 3
Build
MeasureLearn
• Focus on Value
• “Minimum Viable Product”
• Analytics
• A/B Testing
• Cohort Analysis
• Scale for Good Enough
• Refactor, Revise, Redeploy
• Swarm to solve problems

10. 10
What does this mean for Enterprise?
• Business Value is and should drive Cloud implementation
• Better connection with customers
• Better Access to information for decisions
• Will Hybrid and Private Cloud Really Happen?
• Private Cloud Nearly Flat in 20141
• Yet companies still indicate they will implement
• Refactoring Applications for composability, hybrid enablement
Join the Divergent IT Council: http://www.divergentvc.com/itpro
1-Source:Rightscale 2015 state of the cloud

11. 11
Is your development culture prepared for the
new world?
Using Git and Github for better Management of Projects
Continuous Integration and Continuous Deployment Mindset
Focus on Value Delivery: Build, Measure, Learn
Refactor to Enable
Compose vs. Build

12. 12
Questions and Discussion

13. 13
Contact Us:
http://www.divergentvc.com/itpro

14. Straightforward Capital and Advice for Technical Entrepreneurs
Office:
1652 20th Ave.
Seattle, WA 98122
Todd Warren (see http://toddwarreninc.com
Twitter: @toddwseattle
Contact Us: http://www.divergentvc.com/itpro