OpenShift Enterprise: Meeting Tomorrow's Expectations Today. Product Management:

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1 OpenShift Enterprise: Meeting Tomorrow's Expectations Today Product Management: 1

2 DEFINING PLATFORM AS A SERVICE Catalyst: What caused the Shift? Design Principles How are we solving those problems? Innovation Leader 2 Leader in Next Generation PaaS Design

3 Catalyst 3

4 INSANE INFORMATION; INSANE SPEED (last 60 secs) 204M s sent 1.4M Skype Connections 11K Pinterest Users on Line 2M Google searches 278K Tweets 104K Photos over snapchat 347 Wordpress Blog Posts 72 Hours of Youtube uploaded 571 New Websites over 70 New domains Who are you (Identity)? Where are you (GEO/spatial)? What time is it (Measured)? Services consumed (Societal and Technological)? How Long did it take (SLA)? What was your Health Telemetry (Raw Data)? How many others are like you (Modeling)? Suggested trends (Predictive Analysis)? 4

5 TECHNOLOGY CHANGES PaaS Enterprise Management Systems Provisioning Automation Infrastructure as Code DevOps Data Collection Data Warehousing Unstructured Data Big Data Logical/Virtual Networks Device Virtualization Fat Pipes SDN Shared Resources HW Domains Hypervisor Containers High Sockets High Clock speeds HyperThreading Code on Silicon Datacenters Managed Services Provider Hybrid Static Web Content Dynamic Appservers Statefull Stateless 3 Tier Architecture SOA Integrated Services Composite Vertical Horizontal Engineered Systems Cloud 5

6 DRAMATIC CHANGE IN RELATIONSHIPS Vs. 6

7 APPS MOVING TO CONTINIOUS DELIVERY 7

8 TOO EXPENSIVE AS WE STACK BUILD (IaaS+) Times 20x IDE Version Control Build Automated Testing Deploy Rollback Code Delivery and ALM How You Make Money w/ IT Business Services Application Stack and Topology Operating System Virtualization % Uptime Infrastructure and BC/DR Design 8

9 FUNDAMENTAL ARCHITECTURUAL CHANGES REQUIRED Datacenter are Cracking Features Repeatable Patterns Microservices Continuous Integration Continuous Delivery DevOps Intelligent Stacks Consumption Design Cloud Level Horizontal Scale Service AutoBind Security Data Integration 9 Requirements Social Media Business Analytics Big Data Mobile Compute Power Internet of Things Situational Applications Massive Data Stores App Stores Mobile Backends Unstructured Data Stateless LOB Polyglot

10 Design Principles 10

11 APPLICATIONS ACROSS THE INFRASTRUCTURE 11

12 APPLICATION LIFE CYCLE AND SERVICE SLAs 12

13 RED HAT SOLUTION FOR SERVICE DELIVERY 13

14 OPENSHIFT OFFERS A COMMON POLYGLOT EXPERIENCE IDE Version Control Build Automated Testing PaaS Deploy Rollback Code Delivery and ALM How You Make Money w/ IT Operating System Virtualization % Uptime Infrastructure and BC/DR Design 14

15 WHAT IS DIFFERENT THIS TIME ABOUT CONTAINERS? App1 App2 App3 Container Tech Container Tech Container Tech Ops tools Did Not Understand Containers No Mobility Difficult to patch Difficult to teach the applications about the container Harder to control Spraw Difficult to Monitor Not Many PolyGlot Options OLD Unix Hardware App1 App2 OS and Application Patching Container Placement Intelligence Container Mobility Understands Stateless and Stateful Requirements Application Framework Sizing Automation Developer Relationship to Application/Runtime Defined Ability to Idle and Bring Back High Level of Secure Isolation Leverages File System Namespacing for App Directories App3 NEW Container Tech Container Tech Linux Hardware 15 Container Tech OpenShift

16 RED HAT'S PAAS STRATEGY Open Source PaaS Project Public PaaS Service 16 On-premise or Private PaaS Software

17 OPENSHIFT SERVICE ECO-SYSTEM Open Source Best of Breed: 17 Open Clouds

18 OPENSHIFT DESIGN GOAL Enable Self Service Rapid Prototyping Deliver Continuous Integration and Delivery Force a DevOps Relationship Offer Automated Provisioning of Standard Environments Drive Situational Applications Survive High Velocity Change Introduction Obey Enterprise Regulations and Requirements Facilitate Application Life Cycle Management Allow for IaaS to be Abstracted and App be the Main POV/King 18

19 OPENSHIFT ZOOM IN 19

20 OPENSHIFT ZOOM OUT Cartridges autoscale MySQL JBoss Git repo 6.4 Node Git/ssh $ rhc activemq MCollective activemq mongodb mongodb RHEL Broker 20 mongodb Broker AUTH Node NAMING Node Node

21 DESIGN GOALS ACCOMPLISHED 21

22 Innovation 22

23 MEET CUSTOMER DEMANDS Dramatically broaden the ISV Cartridge ecosystem Create a certified ISV partner marketplace Leverage new advances in Linux containerization Allow for immutable, image-based update models Enable Continuous Integration & Continuous Delivery Continue enhancing the Developer experience 23

24 RHEL ATOMIC 24

25 OPENSHIFT ORIGIN GEARD 25

26 LARGEST CONTAINER ECO-SYSTEM: CERTIFIED 26

27 SOURCE TO IMAGE Developer 27 Codes Then Builds Binary Creates a Docker Layer Running App Cleaner Dependencies at the Docker Layer Level Faster Rollback Automated Down to 2 Commands $ sti build source imagename appname $ docker run appname

28 ELASTIC DOCKER LINKING Integrate multiple containers, spanning multiple hosts to build complex, composite applications using an IP-based container linking framework. 28

29 OPENSHIFT RECOGNIZED AT DOCKERCON 29

30 OPENSHIFT INTEGRATION Integrate OpenShift GearD and RHEL Atomic Host Nodes with Broker as part of OpenShift Enterprise 3.0 to leverage full OpenShift capabilities. 30

31 But Is It Working?

32 When given the right tools, we accomplish amazing things... 32

33 Michelangelo 33

34 Rembrandt 34

35 Vincent Van Gogh 35

36 Claude Monet 36

37 Salvador Dali 37

38 Jackson Pollock 38

39 We gave OpenShift to the World to see what would happen... 39

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