Migrating thousands of workloads to AWS at enterprise scale
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This session was delivered at AWS reInvent in 2015. Interesting to reflect on how the same guiding principals apply today.
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Migrating thousands of workloads to AWS at enterprise scale
- 2. Accenture is a global management consulting, technology services, and outsourcing company of more than 305,000 employees. We help organizations assess how to maximize their performance and work with them to achieve their vision We develop and implement technology solutions to improve our clients’ productivity and efficiency – and may run parts of their business Ultimately, we enable our clients to become HIGH-PERFORMANCE businesses and governments We deliver through Accenture Strategy, Accenture Digital, Accenture Technology, and Accenture Operations
- 3. Accenture implements AWS solutions for our clients, and we also extensively use AWS for our internal solutions and client offerings. Using AWS for more than 8 years, we have learned how to effectively manage our cloud usage and develop offerings that are agile and scale to meet our client demand. 2014 • Released ACP 3.0 with discovery capabilities for AWS • Leveraging AWS to run ACP • Moved more production Systems to AWS with higher levels of data calcification • Accenture Analytics based on AWS • Released our AWS Migration Framework • Introduced our AWS COE • Accenture.com moving to AWS • Business Services built on AWS 2012 • Release our first set of AWS assets and production solutions • Release of Accenture consumer goods and services on AWS 2010 Starting moving dev and test environments to AWS 2008 Signed our first enterprise agreement with AWS 2006 Started using Amazon EC2 and Amazon S3 in Accenture Lab
- 4. Client Solutions Showcase Accenture is delivering cross-industry, enterprise solutions for big data, analytics, and management in the cloud, all run on AWS Download brochure Cloud-based architectures help Discovery Networks International plan for growth and changing business needs Accenture implemented a scalable, flexible, and cost-effective hosting solution on Amazon Web Services for DNI, without compromising on security and availability. Download brochure Public credentials:Example projects: Global electronics retailer Web presence, cloud bursting, continuous development, search, recommendations engine Global pharmaceutical Architecture, application development/delivery US gas/oil Divestiture program, AWS QA/performance review Global insurance Architecture, management, Cloud CoE US financial SharePoint deployment and management South American mining SAP PoC / Nonproduction environment
- 5. We see many enterprises moving to cloud and AWS. To get started, we typically see one of the below patterns: Use cloud for test and development environments to improve development agility Develop new applications in the cloud. Building for the cloud, utilizing IaaS+, takes best advantage of cloud benefits Use the cloud to improve current applications. Cloud services can be used for cheap storage, global content delivery, or failover Build new cloud applications that integrate back to applications on premises. Examples include databases on premises or thick clients Move existing applications to cloud. Migrate options include lift and shift and refactoring the application to use cloud services Move wholesale to the cloud. (Has not been historical enterprise use case, but beginning to hear interest from a few of our clients.) Examples include Netflix, Pinterest, etc. Test/dev New apps, greenfield Augment Integrate All-in Migrate
- 6. Within the last 6 months, we have seen significant client demand for migrations. Clients are seeking to migrate hundreds to thousands of workloads to AWS. We are hearing the following form our clients: Challenges / concerns • Security • Operational impacts • Lack of resources • Lack of cloud experience • Pressures of shadow IT • Older platforms • Complexity of migrating systems and interfaces Value drivers / benefits • Agility • Capital to operational expense • Responsiveness to business needs • Cost savings (in some scenarios)
- 7. Migrating to the cloud can take one of many paths Discover, assess (enterprise architecture and applications) Lift and shift (minimal change) Migration and UAT testing Operate Refactor for AWS Application lift and shift Move the app infrastructure Plan migration and sequencing Determine migration path Decommission Do Not Move Create cloud strategy Design, build AWS environment Move the application Determine migration process Manually move app and data Third-party tools AWS VM import Refactor for AWS Rebuild application architecture Vendor S/PaaS (if available) Third-party migration tool Manually move app and data Determine migration process Replatform (typically legacy applications) Recode app components Rearchitect application Recode application Architect AWS environment and deploy app, migrate data Signoff Tuning Cutover Org/ops impact analysis Identify ops changes Change management plan
- 8. To support the massive internal and client demand to migrate existing workloads to AWS. Accenture and AWS partnered together to develop a repeatable and scalable method to migrate at scale. The AWS Migration Framework assists organizations to: • Build an AWS business case, strategy, TCO • Rationalize the application portfolio • Design a robust and scalable AWS architecture • Define a migration approach and leverage automation tooling • Integrate with and augment existing IT processes • Manage cloud environments through support models such as Accenture Cloud Platform Cloud assessment, planning and pilots AWS enterprise cloud architecture Cloud migration deployment and testing Cloud management Cloud strategy
- 9. Unlocking the potential of the cloud requires a shared vision and roadmap for business and IT Defining the cloud strategy Our cloud IT strategy services help you shape the direction of IT, taking advantage of cloud computing to maximize shareholder and business value while controlling IT spend. Priorities and business case for the cloud Determine how cloud services can be implemented and integrated to deliver greater value to your business: • Align IT with business strategy to determine how cloud computing can support growth • Prioritize cloud investments and align to business imperatives to drive bottom-line impact Agree on the capabilities for the cloud Confirm the new business and IT capabilities, technologies, and strategies you’ll need to take advantage of new business opportunities created by the cloud. Determine the best approach to realizing the cloud-enabled future. Pragmatic roadmap to the cloud Generate alignment and buy-in to the pragmatic, actionable roadmap of change required to take advantage of cloud computing. Sequence initiatives for the most efficient and effective journey to the cloud.
- 10. Building the TCO model is an important step in the overall strategy and determining what is the best fit for cloud computing. Understand current fully burdened cost per instance — both physical and virtual. DON’T FORGET TO INCLUDE: Physical space Electricity / fuel Blade chassis Compute Storage Hardware cycles Backup Infrastructure licensing • Infrastructure labor such as virtualization management and physical data center management • Cost of unused capacity • Costs of physical data center security • Match your on-premises amortization with cloud reserved capacity • Include cloud provider tiered pricing • Don’t forget the cost–benefits of automation • Cloud providers will typically provide • Data center procurement
- 11. Assessment factory Assessment framework Client and Accenture project teams Obtain access to environments Discovery Assessment and analysis Initial assessment ready Deliver assessment report Questionnaire CMDB / other DB Existing data gathered Selected applications Application documentation Deliver interim. assessment review Review and sign-off Feedback Assessment tools Kick-off assessment
- 12. Defining the criteria to assess your applications is an important step in defining your cloud candidates. Security / compliance / regulatory • Data privacy (PII, PCI, etc.) • Encryption Availability • SLA requirements • Production / business criticality • Vertical / horizontal scaling • Network clustering Database • Size (DBs > 50 TB may be an issue) • Performance • Clustering Additional hardware • Hardware acceleration • Specialized hardware • Hardware architecture (generally Intel 64 best) • USB devices / USB key licensing Integration • Number of interfaces • Data transfer requirements • Printing / faxing requirements Support • Vendor support • Vendor licensing Design / platform • Cloud provider technical limits • Alignment with cloud strategy • Operating system • Programming language • Application style (best for web) Data / storage Data retention period Shared storage
- 13. Defining a practical cloud migration roadmap that incorporates sequencing constrained by target environment feature availability, application dependencies, investment appetite, and business calendar is a key outcome for this step of cloud migration activities. Discovery Tools, Assessment Framework and Tools Source Apps Migration with significant remediation (x %) • Apps requiring major remediation in order to be migrated • Detailed assessment and thorough testing required to validate • Re-platforming, re-architecting, or re-engineering of applications • Combination of automated and manual remediation and deployment Migration with minor remediation (y %) • Apps requiring minor code changes or remediation in order to be migrated • OS changes, version upgrade, reference changes • Limited configuration changes • Automated and manual remediation; automated deployment • Requires fit-for-purpose migration testing Like for like migration (z %) • No code changes or remediation required • Scripted/ automated • Minimal or no impact to business • Minimal testing required • Roadmap marries together outcome of assessment activities, discovery and target cloud arch • Includes business case updates and realization plan • Focus on early value, momentum Cloud Migration Roadmap Pilot Migrations Updated Business Case PACKAGED/COTS CUSTOM CLOUDMIGRATION COMPLEXITY&EFFORT
- 14. Design and architecture of the cloud environment is important to enable benefits such as agility and cost savings. Key components of cloud architecture include: Key areas of focus: Network architectures • Convergence of on- premises networks to cloud environments • Using application and cloud oriented protocols • Homogenous network constructs • IP scheme and addressing Security architectures • Authentication/federation • Risk • Audits • Compliance • Asset management • IDS/IPS/HIDS • Logging • MFA • IAM Governance • Billing • Cost management • Asset management • Inventory • Controls • Architecture standards • SLA/SLO • Procurement Data management • RPO/RTO • Retention policies • Replication • Storage optimization • ILM Monitoring • Notifications/alerting • Application level awareness • Thresholds • Service desk integration
- 15. Defining your architecture requires mapping on-premises to AWS solutions: Technology stack On-premises solution AWS Network VPN, MPLS Amazon VPC, VPN, AWS Direct Connect Security Firewalls, NACLs, routing tables, disk encryption, SSL, IDS, IPS AWS security groups, AWS CloudHSM, NACLs, routing tables, disk encryption, SSL, IDS, IPS Storage DAS, SAN, NAS, SSD Amazon EBS, Amazon S3, Instance storage (SSD), GlusterFS Compute Hardware, virtualization Amazon EC2 Content delivery CDN solutions Amazon CloudFront Databases DB2, MS SQL Server, MySQL, Oracle, PostgresSQL, MongoDB, Couchbase Amazon RDS, Amazon DynamoDB, DB2, MS SQL Server, MySQL,PostgesSQL, Oracle, MongoDB, Couchbase Load balancing Hardware and software load balancers, HA Proxy Elastic Load Balancing, software load balancers, HA Proxy Scaling Hardware and software clustering, Apache ZooKeeper Auto Scaling, software clustering, Apache ZooKeeper Domain name services DNS providers Amazon Route 53
- 16. • Language re-platforming: COBOL, PowerBuilder to Java, .Net • Use of automated tooling such as Accenture’s Legacy2Cloud based upon Blue Age software Re-platforming • Major remediation required in order to be migrated, e.g., moving apps using EJB containers to lightweight Java containers such as Tomcat • Detailed assessment and thorough testing required to validate • Combination of automated and manual remediation and deployment • Minor code changes required to be migrated • OS changes, version upgrade • Limited configuration changes • Automated and manual remediation; automated deployment • No code changes or remediation required • Scripted/ automated • Minimal or no impact to business • Minimal testing required Migration with significant remediation Migration with minor remediation Like for like migration COMPLEXITY&EFFORT
- 17. Repeatable processes ensure predictable outcomes with measurable results and clearly defined milestones CUTOVER & DECOMMISSION • Obtain go-live approval • Schedule and perform cutover (go-live) • Start of “enhanced support” • SME support provided by project to BAU support teams • Perform postmigration review to collect lessons learned • Execute technical decommission activities and release original resources TESTING AND CERTIFICATION • Perform acceptance testing (as required) – Integration – Regression – UAT – Performance – Interface • Complete operational assessment tests (OAT) • Obtain sign-off on migration • Plan cutover • Submit request to go-live MIGRATE • Perform remediation, code changes • App code migration • Data, interfaces, and dependencies migration • Code retrofitting • Document code changes performed • Perform unit testing, validate app • Plan acceptance testing • Confirm overall migration timeline ON-GOING WORKLOAD, RESOURCE, AND PIPELINE MANAGEMENT Migrated code/app, documentation Validated migrated application in target environment Migration planned App migrated and ready for acceptance test App ready to go-live Application live In target environment Migrated application
- 18. More than 50 delivery centers, across 5 continents, with 194,000 deeply skilled professionals. Accenture can scale to meet the largest AWS migrations. Migration at enterprise scale
- 19. There are seven key components to an IT operating model. Each component is impacted by cloud. IT operating model Functions Processes Interfaces Governance Organization, roles, and sourcing Performance metrics Tools How we organize ourselves to deliver IT services 1 How we execute the work2 How we interact to deliver consistent IT services 3 How we make, sponsor & enforce the right decisions around IT4 What enabling technology we use to deliver IT services 7 How we measure IT effectiveness6 Who is accountable for doing the work5
- 20. The journey to the cloud is different for every organization. The impact of the cloud on IT operations is most significant for organizations of lower maturity levels. • Services not defined • No service catalog • No SLAs LOW MATURITY HIGH MATURITYKEY CAPABILITY AREA SERVICE DEFINITION SERVICE MANAGEMENT SERVICE COSTING PROVISIONING VIRTUALIZATION • No service managers • No service metrics • Cost of service delivery unknown at service level • No chargeback/ show back • Manual provisioning • Virtualization not in place • Automated service catalog • External and internal services defined • SLAs in place • Service managers in place • Managers manage services to optimize service metrics • Service costs known, tracked & managed down over time • Cost of services transparent to users of service (chargeback) • Provisioning fully automated • Self-service provisioning implemented • Virtualization pervasive HIGH TO VERY HIGH MODERATE TO LOW Amount of preparation required for cloud
- 21. High impact Moderate impact Service developmentService strategy Service management and operations IT management Business/customer relationship management Supplier relationship management IT strategy formulation Demand and supply Management EA planning and governance Planning and Scheduling Portfolio delivery Management Prog and project Management Analyse Design Build Test Incident management Business demand management Business impact management Problem management Service request management Enterprise performance mgmt. Knowledge management HR operations and support Finance and accounting ops Finance performance mgmt. Investment Planning Technology innovation mgmt. Architecture development Business service level management Strategic supplier management Operational supplier management Change management Service introduction Release and deploy management Access management Service catalogue management Service reporting Event management Asset & config Management Availability management Element Management Provisioning management Capacity Management Technical security mgmt Commercial services mgmt. Quality management Talent management Business continuity and DR Risk management Infrastructure security Service Charging Information Protection Application Security Almost all points of IT operations are affected when moving to the cloud, although there are number of higher impact areas:
- 22. To meet our internal and client demand and challenges, we developed Accenture Cloud Platform. Cloud management services Service and policy management Self service with governance Key challenges SHADOW IT Business demand continues to grow and requires IT to respond quickly. Slow response threatens to IT’s ability to meet business needs. GOVERNANCE While business demands increase, IT needs to respond and add governance controls without holding back the pace of innovation. BILLING / CHARGEBACK Understanding cloud provider billing and showing detailed invoices with IT services and be able to buy smart. MANAGEMENT IT is pressed to provide services on a granular pricing basis. Existing IT operations and tools do not often work “out of the box” with the cloud.
- 23. Key challenges Agility Rapid demand for new rapid technology development to advance the customer experience. Governance While business demands increase, IT needs to respond and run the solutions that are developed without holding back the pace of innovation. Billing / chargeback Understanding cloud provider billing and showing detailed invoices with IT services and be able to buy smart. Management IT is pressed to provide services on a granular pricing basis. Existing IT operations and tools do not often work “out of the box” with the cloud. Cloud management services Service and policy management Self service with governance
- 24. Ran a full appraisal of current infrastructure > COSTS Down by 73%> Developed a plan for the move to AWS Carried out the necessary development work and content migration Tested the system >AGILITY Site up in a day >SCALING Automatic >CAPITAL OUTLAY None
- 25. Beginning your cloud journey should start with a few key steps: Define the business needs and drivers Establish cloud use cases Develop TCO model and cost estimates Define your cloud strategy Assess your application portfolio and move applications Apply governance controls Understand the impact to the organization
- 26. Please give us your feedback on this session. Complete session evaluations and earn re:Invent swag. http://bit.ly/awsevals
Editor's Notes
- #4: What have we learned Migration is not easy, need to be well planed an executed In the enterprise governess is critical and mandatory to get the full value out of AWS Embedding the cloud concept is not easy
- #16: Without getting into the industry debate about public vs. private cloud it’s clear that most cloud benefits cannot be realized with on-premise virtualization technologies. In the on-premise virtualization model, you often have to buy expensive hardware and software which virtually eliminates the cost benefits of cloud computing. Although on-premise virtualization allows you to quickly provision new servers, your ability to scale up is limited to your physical infrastructure. You still need to buy physical servers to grow. If you want to scale down you won’t see significant cost-savings as you already paid for the hardware. These limitations of the on-premise virtualization model impact your ability to innovate fast and free up money to invest in new projects. NAS is file based, SAN is block based. Short for Multiprotocol Label Switching, an IETF initiative that integrates Layer 2 information about network links (bandwidth, latency, utilization) into Layer 3 (IP) within a particular autonomous system--or ISP--in order to simplify and improve IP-packet exchange. MPLS gives network operators a great deal of flexibility to divert and route traffic around link failures, congestion, and bottlenecks.