Presented @ CampIT Conferences September 8th, in Rosemont, IL

1. Journey to the Programmable
Data Center
Modernizing our Data Centers – Strategy and Approach
Geremy Reiner – greiner@psclistens.com
www.psclistens.com

2. Agenda
Programmable datacenter components
Networking concepts
Storage considerations
API instruction sets
Orchestration and automation
Application deployment automation
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We need to be focused on how to
help others deliver value

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Don’t just talk technical!
There’s more to innovation
than just the technology
solution
Always keep asking
questions

4. Why build programmable datacenters?
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Provides a business-focused approach
Simplifies data center management
Increases the speed of service delivery
Extends benefits of automation and orchestration

5. Back then…
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6. Progress?
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8. Datacenter in a box
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10. Datacenter ascendancy
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Traditional datacenter
•Stable
•Secure
•Reliable
•Large physical footprint
•Utilization less than 20% on average.
•Expensive to scale
•High management costs
•High Server Sprawl
Virtualization
•Increased scalability
•Easier management
•Utilization exceeds 50%
•Some automation
•Faster deployment times
Cloud Computing
•IT as a service
•Highly automated
•Self service portals
•Highly agile
•Abstracted hardware and software
•Global footprint
•Elastic capacity
•Capacity on demand
•Fully Automated Workload Mobility
•Highly integrated
•Proxy handoff

11. Organization maturity model
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Collaboration
Automation
Process

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On-Premise
Cloud
Infrastructure
as a Service
Platform
as a Service
Software
as a Service
Cloud Management Services
Applications
Data
Runtime
Middleware
Operating System
Virtualization
Server Hardware
Storage
Networking
Applications
Data
Runtime
Middleware
Operating System
Virtualization
Server Hardware
Storage
Networking
Applications
Data
Runtime
Middleware
Operating System
Virtualization
Server Hardware
Storage
Networking
Applications
Data
Runtime
Middleware
Operating System
Virtualization
Server Hardware
Storage
Networking
Self Service Portal
Automation EngineCentralized ManagementMeasurement Services
Cloud Service
Model and
Responsibilities
Matrix
Your responsibility
Provider
Responsibility

13. Cloud consumption
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IaaS PaaS SaaS
Infrastructure as a service
Storage as a Service
Deployment Platform that
abstracts the hardware layer
Think:
Cloud Based Datacenters
Virtualization Platforms
Hosted Storage
Platform as a service
Development Platform that
abstracts the hardware,
Operating System, and
middleware layers
Think:
App Development Environments
Streaming Services
Database Platforms
Development Tools
Software as a service
Application Platform that
abstracts hardware, Operating
system, Middleware and
Application layers
Think:
CRM
ERP
Email
Virtual Desktop

14. Software defined datacenter
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Key Components
Process Automation
Continuous Delivery Model
Server Automation
Network Automation
Database & Middleware
Automation
Policy Automation
Client Automation
Application
Control
Infrastructure
Operations
Security
Governance
BusinessProcess
Containers Client – Server PaaS
Orchestration Automation Monitoring
Virtual Infrastructure
Physical Infrastructure
vCompute vStorage vNetworking vSecurity
Compute Storage Networking Security
Infrastructure
Automation
Applications
Business
process
and
oversight

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Application
Control
Infrastructure
Operations
Security
Governance
BusinessProcess
Containers Client – Server PaaS
Orchestration Automation Monitoring
Virtual Infrastructure
Physical Infrastructure
vCompute vStorage vNetworking vSecurity
Compute Storage Networking Security
Infrastructure
Automation
Applications
Business process
and oversight

16. Process Automation
Scheduled task
Service Requests
Incidents and Problems
Change Control
Event orchestration
Ad hoc changes and
requests
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Ordered ChangeOrdered Change
Scheduled taskScheduled task
RequestRequestIncidentIncident
Ad hoc ActivitiesAd hoc ActivitiesTriggered EventTriggered Event

17. Continuous delivery
Test
Build
Release
M
onitor
Deploy
Continuous
integration
and testing
Continuous
Delivery and
operations
Continuous Assessment
Continuous Assessment
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18. Server and network automation
Self Service
Portals
• Automated deployment
• Event driven workflow
Software Defined
Networking (SDN)
• Flexible, quick release, networks
• Micro-Segmentation
Server lifecycle
management
• Automated scale-out and de-provisioning
• Simplified capacity planning
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19. Database and Middleware
Automation
Compliance adherence
Capacity management
Automation of data motion
Workflow integration for self service
Operational monitoring and analytics
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20. Policy Automation
Policy
model
•External, Internal,
pass-through
Role model
•Groups based
authorization
Identity
warehouse
•SSO, Kerberos
Token, LDAP,
Database, or
Stand-alone
Risk model
•Security level
breakdowns
(Secret,
Confidential,
Internal, Public)
Workflow
Engine
•Levels of
automation
expected for
authorization and
access
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21. Tools and Technologies
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Technical Content Ahead
Template based deployments
Log aggregation and analytics
Change management and monitoring
Virtualization extension

22. © 2016 PSC Group LLC
Microsoft Azure Amazon Web Services (AWS)
Available Regions |Azure Regions |AWS Global Infrastructure
Compute Services |Virtual Machines (VMs) |Elastic Compute Cloud
|Cloud Services |Amazon Elastic Beanstalk
|Azure Websites and Apps |
|Azure Visual Studio |None
Container Support |Docker Virtual Machine |EC2 Container Service
Scaling Options |Azure Autoscale |Auto Scaling
Analytics/Hadoop |HDInsight (Hadoop) |Elastic MapReduce (EMR)
Government Services |Azure Government |AWS GovCloud
App/Desktop Services |Azure RemoteApp |Amazon WorkSpaces
| |Amazon AppStream
Storage Options |Azure Storage |Amazon Simple Storage
Block Storage |Azure Blob Storage |Amazon Elastic Block
Hybrid Cloud Storage |StorSimple |None
Backup Options |Azure Backup |Amazon Glacier
Storage Services |Azure Import Export |Amazon Import / Export
|Azure File Storage |AWS Storage Gateway
|Azure Site Recovery |None
Content Delivery Network |Azure CDN |Amazon CloudFront
Database Options |Azure SQL Database |Amazon Relational Database Service
| |Amazon Redshift
NoSQL Database Options |Azure DocumentDB |Amazon Dynamo DB

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JSON files—simpler than they look

26. Monitoring and Log Analytics
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27. Contact Information
© 2016 PSC Group LLC
• Geremy Reiner
• Email: greiner@psclistens.com
• Web: www.psclistens.com
• LinkedIn : /in/geremyreiner

28. © 2016 PSC Group LLC