1. Enterprise Use Case for Docker
Shift to a Hybrid Infrastructure

2. HPE IT Use Case: Docker in Action
Software Development and Pipeline
Infrastructure as Code
Docker Enterprise Edition on Synergy
Continuous Delivery Pipeline on Synergy
Container Data Mobility
HPE on HPE: IT Docker in the Data Center (DiDC)
PointNext DC-IA
Docker in Action

3. Evolution of HPE IT SW Development Methodology
Customers
QA + Customers
Analysis + Design
Develt
Testing
MTP + Operations
Dev team (waterfall)
IT Operations
Waterfall
2-4 releases/year
3-9 month cycles
Agile
Analysis + Design
Development
Testing
Iterations 1 2 3 4
MTP?
Agile brings welcomed flexibility but, alone, does not deliver value fast enough to business
Customers
Project Team
MTP + Operations
IT Operations
4-8 releases/year
1-3 month cycles
examples:
Github Enterprise – 8/month, ~100/year
Peoplefinder – 2-4/month, ~40/year
Support becomes user centric instead of Process centric
Customers
Dev & test
IT Operations
Micro changes (in scope, in target)
Fast analysis, development, testing, MTP
Collaboration between business, dev and operations
Several MTP per month, per week, per day
As much automated as possible
Augmented feedback loop from operations back to dev, test and business (monitoring)
CD / DevOps
12+ releases/year
<1 month cycles
MTP = Move to Production
Docker in Action

4. Continuous Delivery Pipeline at a Glance
Continuous Integration (Push)
Ideas / Backlog
Development
Continuous Integration
Automated Unit Tests
Deploy to Test
Run automated tests
Version Control
Deploy to QA / Prod
Automated and manual tests
Monitor / Dashboards
Deploy: Ops and QA (Pull)
OK to Release
Team & Pipeline collaboration: ChatOps
GitHub
HPE ALM
HPE UFT
EntMon
Hubot
Docker in Action

5. Infrastructure-as-code
Enterprise Platform: Everything-as-Code with automated workloads
Composable Infrastructure
Terraform
ImageStreamer
SDK/language binding
I.E. oneview-golang
Resource pool
HPE OneView
template
Unified API
What
is Code?
The Hardware
The Provider
Ansible
Docker
The Cluster
The Application
Docker in Action
© Copyright 2016 Hewlett Packard Enterprise. The information contained herein is subject to change without notice. Hewlett Packard Enterprise Confidential

6. Docker Enterprise Edition on Synergy
Everything-as-Code with Configuration Management 1
Synergy frame connected to OneView
OneView
OneView Provider executes Terraform script: n compute modules are provisioned with chosen OS image 2
OneView SDK 3
After OS is loaded, Ansible launches Playbooks to build a Docker Master and add the other Docker nodes to the Docker EE cluster 4
N node Docker Cluster:
ready for developers and/or operators to deploy applications
Docker in Action

7. Continuous Integration use cases with Synergy
Docker in Datacenter
Slave Go
Slave
Java
Slave
Python
Slave
Java
Slave
Perl
Slave
NodeJs
Slave Go
Slave
NodeJs
Slave
Python
Scenario 1: Master provisioning slaves on same Infrastructure
Scenario 2: Master provisioning slaves in other Cloud providers
Azure
Slave Go
Java
NodeJs
Openstack
Slave
Python
Perl
NodeJs
Scenario 3: Other Jenkins instances using Synergy to provision slaves on demand
Docker in Action

8. HPE Storage: Container Data Mobility
Docker UCP Node
Docker UCP Node
Docker UCP Node
Docker UCP Node
Application Containers
App 1
App 2
App3
HPE Docker
Volume Plugin
HPE Plugin Container
etcd cluster
etcd
iSCSI
HPE 3PAR StoreServ with iSCSI or
HPE StoreVirtual VSA 11.5+
StoreVirtual
Docker in Action
WWAS 2017 | HPE & Partner Confidential

9. Delivering on-premises IT with cloud like speed & simplicity
Move from capital expense to variable expense
Stop guessing capacity
Developer centric architecture
Remove undifferentiated heavy lifting
Flexible Capacity
Pay only for what you use at competitive metered rates; Capacity in minutes, not months
Infrastructure Automation
Enable Infrastructure, as Code. Access to experts and Curated DevOps tools.
Operational Support and Proactive Services
Experts and tools to monitor and operate your infrastructure globally
The Public Cloud has some qualities that offer a new levels of simplicity to its consumers, and these qualities to be understood & embraced by IT and on-prem infrastructure providers such as HPE. At HPE we have examined these qualities closely and have translated them into on premise capability requirements that will dramatically simplify our customers experience whether they are running traditional or private Cloud based workloads.
Datacenter Care service is the best platform to deliver these capabilities from.
Datacenter Care is all about supporting and evolving a customer through their IT journey and its where we are act as a true partner.
We provide a team of people who understand your business and it’s a simple choice to make when you need support or advise – One number to call
We have developed three DC modules that directly address the requirements for on-premise simplicity.
We’ll talk today about Datacenter Care – Infrastructure Automation, but it’s worth mentioning that two other components should be considered as outlined here – Flexible Capacity and Operational Support Services. We do leverage other Proactive Services throughout Datacenter Care.
HPE Datacenter Care
Your team from HPE
One number to call
Docker in Action

10. HPE Datacenter Care – Infrastructure Automation
Advice, Best Practices and Coaching for your Ops and Dev teams
Enable Infrastructure, as Code
Requirements review
Advice on process, collaboration and customer- acquired tools
24x7 remote access to engineering experts
Curate DevOps Tools
Knowledge transfer and enablement on customer-acquired tools
Coaching on tools use, IT automation lifecycle, audit, compliance and security
Optimization review and assessment report
To summarize HPE Datacenter Care – Infrastructure Automation, we offer Advice, Best Practices and Coaching for your Ops and Dev teams in two ways:
We help you enable infrastructure, as Code
24x7 remote access to DC-IA engineers provides full-stack view of where problems may occur, from app to hardware.
Guidance, coaching and advice to assist with the implementation of specific automation projects.
DC Automation Optimization Reviews and Assessments to pinpoint opportunities for datacenter automation with the greatest ROI/impact.
And we help to curate DevOps Tools
Technical enablement focused on specific tools for continuous delivery such as HPE OneView, Chef, Docker and other open-source-based tools.
Review of infrastructure automation requirements to architect best possible automation solution(s) leveraging open source tools.
Best practices and sample code specifically related to projects identified by customer IT teams.
Global HPE Engineering Experts
Ansible
Chef
Docker
ELK Stack
Jenkins
Github
HashiCorp
Mesosphere
Puppet
Docker in Action