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A VC perspective on Devops and Enterprise Cloud Adoption

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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

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A VC perspective on Devops and Enterprise Cloud Adoption

  1. 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. 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. 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. 4 Where We Came From Source: US Military Computer Image Archive Courtesy of Michael John Muuss
  5. 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. 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. 7 Mobile Networks (10PB/Day) Unmanned Aerial Vehicles (100PB/Day) Yesterday’s Big Data is today’s Small Data
  8. 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. 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. 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. 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. 12 Questions and Discussion
  13. 13. 13 Contact Us: http://www.divergentvc.com/itpro
  14. 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

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

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