A HYBRID JOURNEY TO CLOUD. Unlocking value and managing complexity on your Journey to Cloud MAY 2018

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1 A HYBRID JOURNEY TO CLOUD Unlocking value and managing complexity on your Journey to Cloud MAY 2018

2 Accenture s cloud first strategy provides an application driven framework for journey to cloud CLOUD FIRST Driving business outcomes and innovation in the cloud. Spanning business and technology buyers CLOUD STRATEGY WE HELP OUR CLIENTS AT ALL DIFFERENT STAGES EMBRACE CLOUD: CLOUD APPLICATIONS Changing the way businesses operate with cloud-based applications: SAP, Oracle, Salesforce, Workday, as well as custom, cloud-native application development powered by NEW Tech. JOURNEY TO CLOUD Application and infrastructureenabled approach to transform operations in the cloud. INDUSTRY-SPECIFIC CLOUD SOLUTIONS Transforming the way entire industries work by leveraging cloud based solutions and business services. END TO END SPECTRUM OF AS-A-SERVICE SOLUTIONS SUPPORTED BY SECURITY, ANALYTICS, AUTOMATION AND ARTIFICIAL INTELLIGENCE 2

3 Agile, cloud and microservices transforming the application landscape TO INCREASE SPEED-TO-VALUE, DEVELOPERS HAVE EVOLVED FROM CREATING LARGE MONOLITHIC, LAYERED APPLICATIONS TO DEVELOPING AND RUNNING MICROSERVICES MONOLITHIC/LAYERED ARCHITECTURE MICROSERVICES ARCHITECTURE PRESENTATION LAYER API API API API API ACCENTURE S TECHNOLOGY AND OPERATIONS ORGANIZATIONS TEAM UP WITH OUR INDUSTRIES TO CREATE SOLUTIONS TO HELP OUR CLIENTS TRANSFORM AND MANAGE THEIR APPLICATION AND INFRASTRUCTURE THROUGHOUT THEIR JOURNEY TO CLOUD 3

4 Case Study: Multi-National Hospitality Company Leveraging Microservices & cloud for agility and scale Location: Global OU: Hospitality, Services Success: Complete re-architecture and re-platform of Reservations Solution BUSINESS CHALLENGE Customers expect a reservation experience with more and flexible options. Existing core functionalities are inflexible and difficult to expand. Existing systems are tightly coupled with business processes. APPROACH Migrate overtime, by developing features outside existing system and slowly strangling existing system. Enablement and leverage of DevOps Private Cloud technologies. Careful selection of team skills pyramid, resulting in a mix of average skilled developers working under the guidance of a few experts. OUTCOMES Successfully implemented a foundation for Microservices Architecture at the client, and showcased how the Microservices Architecture style can help the client respond faster to market demands, with a concrete business challenge. 4

5 Most clients will land on a hybrid cloud Journey with varying degrees of Public & Private adoption We believe the majority of our clients will have Hybrid Cloud environments for the foreseeable future with increasing percentage of Public Cloud during this Cloud Journey Public cloud benefits STRIKING THE PERFECT BALANCE Private cloud benefits Speed Consumption Scale Regulatory Performance Security Existing Investment ELASTIC WORKLOADS Public cloud providers HYBRID FIXED WORKLOADS Accenture private cloud 5

6 Accenture provides hybrid cloud & infrastructure services tailored to our clients journey Accenture teams with industry leading partners to offer a complete set of services with E2E Enterprise SLAs for Cloud and legacy environments powered by an integrated Accenture Cloud Platform leveraging automation, analytics, and artificial intelligence to accelerate time to market, minimize cost, and improve service levels throughout their Journey to Cloud. Users Fulfillment and Trouble Management Predictive Operations Developers/ Operators Cloud Management Platform (Applied Intelligence) Deep Ecosystem Integration Public Cloud SaaS Private Cloud Managed Legacy Solaris HP-UX AIX zos/native SPARC Itanium Power Mainframe Multi-Channel Customer Interaction Big Data and Analytics Regulated Apps & Data High Performance/IO Legacy Business Logic (wrapped in microservices) 6

7 Transforming infrastructure to an enabler in your hybrid Journey to Cloud KEY THINGS TO GET RIGHT Standardized Service Catalog Upskill Organization Agile/Cloud Operating Model Platform/Tools POWERED BY ECOSYSTEM 7

8 Operating in the world of agile and cloud Need to standardize before automating 8

9 DevOps Agile and cloud operating model An entirely new agile, operating model for cloud consumption Service Strategy Technology Strategy Portfolio Management & Planning Enterprise Architecture Multi-Speed IT Operating Model (Capability View) Enterprise Strategy BUSINESS BUSINESS CUSTOMERS & END END USERS USERS Business & Customer Relationship Management 2 2 Service Requirements Service Creation Program & Project Management Service Design & Assembly Service Transition 1 Multi-Speed Delivery AGILE ACCELERATED TRADITIONAL Service Management & Operations Service Management Service Operations Service Performance 3 4 IT Management IT Performance & Control Security & Risk Management IT Financial Management IT Talent Management NEW IT REQUIREMENTS ARE DRIVING CHANGES TO THE TRADITIONAL IT OPERATING MODEL IN FOUR KEY AREAS: z MULTI-SPEED MODEL SERVICES BASED ORGANIZATION BIZTECH GOVERNANCE TALENT ECOSYSTEM 4 Ecosystem Management Strategic Supplier / Partner Management Operational Supplier / Partner Management SUPPLIERS & PARTNERS 5 APPLIED INTELLIGENCE 9

10 Support dynamic business needs by reshaping the it workforce around partners and alliances TALENT ECOSYSTEM STRATEGIC PARTNERS For scale, innovation, and transformational delivery INTERNAL PEOPLE Have key roles in house; hire and develop differentiating skills in house to compete LABOR ON DEMAND For surge capacity & niche skills NEW IT IMPERATIVES Tap into the value of the expanding talent ecosystem to infuse new thinking and perspectives Establish strategic partnerships that actively collaborate to achieve business goals Employ multiple sourcing models including crowdsourcing and labor on demand Leverage advanced analytics for talent strategy and management across the talent lifecycle TECHNOLOGY PARTNERS For quick access to trending technologies ACADEMIC PARTNERS Partners in collaborative research 10

11 Data Diversity: 280K tickets/month, 2+ billion rows of cloud usage data, millions of events / day (Incidents, Changes, SR s, Problems, Device Inventory, Other Data) The power of platforms and tools Leveraging analytics, automation & AI to drive agility, lower costs & improve service levels APPLIED INTELLIGENCE INSIGHTS Aggregate Data and Analyze ACTION & AUTOMATION Prioritize Activities & Automate LEARN & TRANSFORM Intelligence-enabled Transformation Avoid the Work Automate the Work AI the Work Collection/assembly of operational data and generation of insights. Apply analytics for Predictive Operations. Prioritize remediation activities based on business impact. Automate remediation. Apply Artificial Intelligence to transform, improve and optimize operations. 11

12 Automation Repository RCA Remediation A day in the life of intelligent operations Leveraging analytics, automation and AI to drive agility, lower costs and improve service levels CLIENT PRIVATE CLOUD Alerts from multiple sources ACCENTURE ACP EVENT MANAGEMENT Alerts for Storage ACCENTURE ACP ITSM (SERVICENOW) Incident Ticket created INCIDENT ADVISOR Incident assigned L2 ENGINEER L2 ENGINEER Correlations based on topology, business rules and other factors leading to suppression of false alerts Problem Ticket created Y PROBLEM ADVISOR Repeat Issue / Trend? TICKETS HISTORY Ticket closed low AHT and MTTR Incident assignment based on engineer workload, expertise and other factors Issue resolved Issue diagnosed first time right AUTOMATION SCRIPT FOR REMEDIATION Governance with client to drive continuous optimization Public Cloud business case Y IO ANALYTICS Move to Public Cloud? Script Script Script 12

13 Building a true private cloud Bringing the standardization, self-services and automation of public to private Accenture has partnered with VMware to bring the same standardization, self-service, automation, and analytics that we see in Public Cloud to Private Cloud. Standardized Agility Self-service This allows us to deliver industrialized Managed Private Cloud solutions either in our clients data centers or our own at significantly more competitive pricing than custom Private Cloud Solutions. Cloud operating model INDUSTRIALIZED PRIVATE CLOUD Analytics, automation & AI 13

14 Case study: Life sciences cloud journey Building a true private cloud Accenture partnered with the client to develop and execute a comprehensive program to help them define, build, and migrate to a true Software Defined Data Center or Private Cloud that deliver similar management efficiencies, automation, standardization, APIs, and service catalogs from the Public Cloud Private Cloud Technology Stack Cloud Operating Model & Business Transformation Application Strategy/ Migration Business Case Realization & Financial Management Rationalize technology platform from architecture to implementation incrementally delivering increased automation and services powered by Software Defined Data Center (SDDC) Bring Operating Model Design structure, support DevOps and increased complexity and flexibility that comes with SDDC enablement Assess application to determine migration type, complexity, effort, costs, and specific migration approach Economic case for unit cost, demand and variation, financial modeling, governance design, product pricing recovery, and benchmarking to support SDDC program success. Program Management & Governance Integrated Program Management & Governance across all work streams coordinating activities to drive business and operational transformation and deliver value to the business 14

15 Case study: Life sciences cloud journey Integrated program for J2C Developed an integrated program to drive the transformation Delivers Define Make up Target State Value Workstreams Projects Initiatives Application Migration Strategy A1 A2 A3 Assessment Framework Build Build Migration Factory Model Discovery & Assessment (5-10 Pilot Apps) Cloud Implementation Technology Strategy Cloud Operating Model T1 T2 T3 O1 O2 O3 SDI Architecture Tool Strategy Design and Roadmap Target-State Vision & Impact Assessment Operating Model Definition Capability Activation Approach & Roadmap Business Case and Financial Management B1 B2 B3 B4 Financial Modelling Governance Design Product Pricing & Recovery Standards Business Case Socialization Program Management and Governance Measuring and Reporting Value Delivery 15

16 Case study: Life sciences cloud journey Enabling standardized catalog and self-services Rapidly and incrementally introduced new services made available through a self-service catalog Gen 1 (MVP) Gen 2 (IaaS) Gen 3 (DBaaS) Legend: GEN 1.0 GEN 2.0 GEN 3.0 GEN 4.0 Gen 4 (PaaS) Private Cloud Instance Real-time capacity availability Windows Server 2008/2012 instances RHEL 6.3 instances SQL/Oracle instances Storage Tiered Block Storage NAS Storage Networking Software Defined Networking Add-Ons Onsite Backup to Disk Legacy Migration Disaster Recovery T3 Hardware Availability Zones (HAZ) APAC Private Cloud Instance Automated Provisioning and qualification of OS Post configuration options for database instances Networking Optional Firewall Optional Load Balancing Add-Ons Offsite Backup to Disk Site Recovery Manager Product Release R1 Blueprints 1-5 Product Release R2 Blueprints 6-10 Hardware Availability Zones (HAZ) APAC (2.1) March 2017 NA Dev (2.3) April 2017 NA QA (2.5) June 2017 North America (2.7) July 2017 EMEA (2.7) July 2017 October 2014 February 2015 Private Cloud Instance Automated Provisioning and qualification of SQL and Oracle database instances* Management Automatic remediation of incidents including What/If modeling and forecasting Availability HA across regions with zero downtime and ability to seamlessly move workloads across hardware Transaction-level rollback increases speed of recovery after disaster Product Release R3* DBaaS Blueprints* TBA Blueprint SQLaaS* TBA Blueprint OracleaaS* Hardware Availability Zones (HAZ) APAC NA Dev NA QA North America EMEA December 2015 Private Cloud Instance Automated Provisioning and qualification of SAP and other platforms* Networking Predictive network flow models tightly integrated with security and compliance Transparent access between legacy and SDDC networks with no impact on legacy applications Analytics Near-real time resource consumption and transparency to forecast costs for business planning enabling consumptionbased OPS-model Product Release R4* PaaS Blueprints* TBA Blueprint SAPaaS* Hardware Availability Zones (HAZ) APAC NA Dev NA QA North America EMEA April

17 SDDC Assembly Global Operations (L2) Global Operations (L1) Case study: Life sciences cloud journey Agile methodology and infrastructure as code Leveraged Agile Continuous Delivery Pipeline/DevOps for Delivering SDDC Capabilities Delivering DevOps Monitors Self-Heals Optimizes vcenter Console(s) vcloud Suite Compute Storage NSX vcloud Suite Compute Storage NSX Bug Development Notifications Observations Centralized Operations NA EU APAC Changes Defects Engineering Backlog JIRA Git/Stash Jenkins Orchestration Resolution Infra Developers Development vcloud Suite Puppet/ Docker Features vcloud Dev SCRUM Integrations Backlog Service Now Observations Release & Deploy JIRA Git/ Stash Jenkins Puppet/ Docker Code is built from version controlled templates to retain integrity and minimize risk of failed changes In the event of a GxP system, automated compliance procedures will be implemented before production changes are attempted Enabled by automated version control, testing, deployment and compliance processes. Initial plans will be deliver monthly release cycles with 2 week sprints Target will be deliver continuous integration and delivery by keeping the pipeline in full-time operation with the expectation that whenever materials (stories/ changes) are inputted they will be outputted (released) the goods as soon as they are ready and have passed compliance checks where expected Benefits are not lost by implementing a partial pipeline, for example only taking code as far as User Acceptance Testing 17

18 Case study: Life sciences cloud journey Delivering value Screenshot Outcome / Impact Screenshot Outcome / Impact Transparency Delivered Business Case of over $100M over 5-year with which gave executive leadership transparency in the SDDC Transformation program Application Rationalization Identified and tracked against 25% workload rationalization resulting in 20%+ reductions in infrastructure and application support spend IT Savings Identified and tracked against +$200M in steady state run rate savings Existing FTE Reductions Identified approximately 300 FTEs that were candidates for reduction or migration into new SDDC Operating model On-Premise Cloud Migrations Tracking against migrating 50%+ of workloads to an onpremise cloud solution Incremental SDDC FTEs Defined the SDDC Operating Model to support the new SDDC capabilities resulting in over 20% of labor savings Virtual Private Cloud Migrations Tracking against migrating ~30% of workloads to virtual private cloud solution Technology Efficiency Highlighted the impact of improved infrastructure utilization via financial sensitivity analysis 18 Legacy Workloads Targeting 20% or less workloads hosted in legacy infrastructure resulting in over $100M infrastructure savings over the program life span Additional Summary Key Outcomes Achieved Total P&L Savings due to efficient & prioritized workload migration over $100M Delivery of a hybrid sourcing people model impact efficiency gain over 250%

19 Learning from good Creating accelerators from client success VMWARE VALIDATED DESIGNS (VVD) ACCENTURE DEVOPS PLATFORM IAC/PRIVATE CLOUD J2C BUSINESS CASE Speed and Agility Build Private Cloud in days not weeks Real time Provisioning in seconds not days Agile Delivery/IaC with 2 week sprints Migrate over 1,000 workloads per month 19

20 Accenture cloud factory scaling portfolio analysis, remediation, and migration Accenture has created a Cloud Factory powered by sophisticated assessment, workflow, and migration tools to help clients accelerate their Journey to Cloud ACCENTURE METHODOLOGY Plan & Analyze Design Build & Test Deploy & Migrate Speed and Agility Exceptional speed: Program Planning & Management Build Private Cloud in days not weeks Real time Provisioning in seconds not days Migrate over 1,000 workloads per month Cost Efficiency and Optimization Save hours of migration effort per workload using library of 150+ migration templates. Allow client to select subset of Accenture migration services per application workload to align cost with true business need. Lay foundation for analytics to optimize Cloud infrastructure and provide IT financial showback. Business Impact Realize high level of quality and consistency that are embedded end-to-end to mitigate risk while unlocking future technical capabilities for additional benefits ACCELERATE Assessment Inventory Execution Scripts Command Center Organizing inventory and migration plans Tracking Complex Infra & Application dependencies Minimizing repeated effort writing common instructions Coordinating migration execution teams 20

21 Blurring line between public & private cloud Cloud adjacent and colo deployments 21

22 Case study: Accenture software utility services (SUS) High transactional and business critical workload SUS delivers a fully managed service residing over a High Availability infrastructure designed from the ground up to support mission critical applications for Accenture's most demanding Clients. SUS is a Software as a Service (SaaS) Delivery Center within Accenture IS for enterprise applications. Accenture-owned and operated resilient VMware Private cloud partnering with AWS & Azure for hybrid cloud capabilities Accustomed to operating Highly Complex mission critical systems with the need for high compute and availability PCI-DSS level 1 certified for complete delivery solution SSAE16 SOC 2 credentialed Built to Operate as a service with three regions to deliver in specific markets or globally 22

23 Rethinking Network from device to Cloud Modernize Network with integrated approach for E2E security and QOS Tighter policy integration of their VeloCloud SD-WAN product and NSX puts us one step closer to achieving our vision of seamless, secure, and reliable device-to-cloud networking. Key Policy Alignment Points 23

24 Policy Integration and self-service Simplify the complexity Provide policy integration and self-service across WiFi, SD-WAN, Private Cloud, and Public Cloud with Self-Service 24

25 Hosting and cloud transformational outsourcing Hybrid cloud journey tailored to client APPLICATION WAVE 1 WAVE 2 WAVE 3 Micro-Services Around MF Reservations Distributed CouchDB for Web Navigation Analytics in AWS RedShift Mobile Front End in AWS (Lambda serverless architecture) VMW on AWS POC (CouchDB architecture) Real-Time Analytics with Kinesis CONTINUOUS IMPROVEMENT/REFRESH Application tuning with different scale out architectures SOFTWARE DEFINED INFRASTRUCTURE Baseline NG HCI Solution/POD for Software Defined Data Center (SDDC) SDDC Compute Automation SDDC Network Automation SDDC Self-Service (SNOW) POC Develop Legacy DC Consolidation and Migration Plan Wrap MF with APIs SDDC Micro-Segmentation/Security SDDC Migration Factory Enhanced SDDC Self-Service (Expanded Catalog/Compliance) DC Consolidation/Migration to SDDC Introduce Public Cloud Expose as MF as Micro-Services Adopt Cloud Backup and Archive Solution Maximize virtualization of On-Premise Infrastructure Extend Micro-Segmentation to Public, Sites, and Mobile Devices Complete SDDC Migrations (only bare metal and MF left) Enhanced Public Cloud (Multi- Channel, Big Data) Retire MF Leverage Cloud to host property infrastructure (PMS/POS) CATALOG, OPERATING MODEL & PEOPLE MVP Compute/Storage/Network Define Cloud Operating Model and Roadmap Define new organization with teams aligned to BUs Agile training for Ops Map servers and applications to business Criticality to develop analytics or proper prioritization; Strategy for EOL/EOSL component Develop patch assessment, schedule, deployment strategy & verification process Develop Data Refresh Strategy, Schedule, Data Masking Process Expand IaaS Catalog Add PaaS Catalog (e.g. DB) Complete Migration to Cloud Operating Model (expanded to support Public) Enhanced Tools Training (Analytics, Automation) Developer Ops Training (SRE) Smart Analytics for capacity assessment correlation, control and reporting on health of IT environment Automatic Ticket enrichment from CMDB Implement Self-Heal Expanded IaaS and PaaS Add App Catalog Integrate Environment refresh into DevOps Strategy Continued Evolution of Service Catalog Continuous Operational Improvement (org, process, and tools) Ongoing Training 25 PLATFORM/ TOOLS Finalize SDDC Automation approach and POC Finalize tools strategy, priorities, and roadmap Introduce CMP (Blueprinting) Application Management Tool Selection Consolidate into centralized CMDB Implement Tools Strategy Expand CMP to Public Integrate Legacy and MF with CMP Application/Infrastructure Management Integration Cloud Optimization Tool Selection Build Application to Infrastructure relationship mapping in CMDB Implement Service now Auto-discovery for automated CMDB update Continue to Enhance Tools (analytics, automation, AI) Enhance CMP (e.g. Cloud Optimization, Dashboards) Tighter integration across domains Continue to Enhance Tools (increased libraries of analytics, automation, AI) Increased integration across domains (CMP, Apps, Infra)

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