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chris.c.wegmann@accenture.com
chris.scott@accenture.com
tomlasz@amazon.com
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
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
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
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
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)
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
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
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.
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
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
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
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
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
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
• 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
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
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
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
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
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:
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.
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
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
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
Please give us your feedback on this session.
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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

Notas del editor

  1. 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
  2. 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.