Enterprise Use Case for Docker Shift to a Hybrid Infrastructure

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

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

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

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

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

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

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

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

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