Module 9 - Migration and Innovation

Question 1

Perspectives

Answer 1

AWS Cloud Adoption Framework (AWS CAF) organises guidance into six areas of focus

• Each Perspective addresses distinct responsibilities.
o Planning process helps right people across organisation prepare for changes ahead.

Question 2

Business capabilities

Answer 2

Business, people and governance perspectives

Question 3

Technical capabilities

Answer 3

Platform, security and operations perspectives

Question 4

Business perspective

Answer 4

 Ensures IT aligns with business needs and IT investments link to key business results.
 Create strong business case for cloud adoption and prioritise cloud adoption initiatives.
 Ensure that your business strategies and goals align with your IT strategies and goals.

Question 5

Business perspective common roles

Answer 5

Business managers
Finance managers
Budget owners
Strategy stakeholders

Question 6

People perspective

Answer 6

Supports development of organisation-wide change management strategy for successful cloud adoption.

Question 7

People perspective common roles

Answer 7

Human resources
Staffing
People managers

Question 8

People perspective used to:

Answer 8

Evaluate organisational structures and roles

New skill and process requirements

Identify gaps

Helps prioritise training, staffing, organisational changes.

Question 9

Governance perspective

Answer 9

 Focuses on skills and processes to align IT strategy with business strategy.
 Ensures you maximise business value and minimise risks.
 Use to understand how to update staff skills and processes necessary to ensure business governance in cloud.
 Manage and measure cloud investments to evaluate business outcomes.

Question 10

Governance perspective common roles

Answer 10

• Chief Information Officer (CIO).
• Program managers.
• Enterprise architects.
• Business analysts.
• Portfolio managers.

Question 11

Platform perspective

Answer 11

 Includes principles and patterns for:
• Implementing new solutions on cloud.
• Migrating on-premises workloads to cloud.

 Use variety of architectural models to understand and communicate structure of IT systems and their relationships.

 Describe architecture of target state environment in detail.

Question 12

Platform perspective common roles

Answer 12

• Chief Technology Officer (CTO).
• IT managers.
• Solutions architects.

Question 13

Security perspective

Answer 13

	Ensures organisation meets security objectives for:
•	Visibility.
•	Auditability.
•	Control.
•	Agility.

 Use AWS CAF to structure selection and implementation of security controls that meet organisation’s needs.

Question 14

Security perspective common roles

Answer 14

• Chief Information Security Officer (CISO).
• IT security managers.
• IT security analysts.

Question 15

Operations perspective

Answer 15

 Helps you to enable, run, use, operate and recover IT workloads to level agreed upon with your business stakeholders.
 Define how day-to-day, quarter-to-quarter and year-to-year business is conducted.
 Align with and support operations of business.
 AWS CAF helps stakeholders define current operating procedures and identify process changes and training needed to implement successful cloud adoption.

Question 16

Operations perspective common roles

Answer 16

• IT operations managers.

* IT support managers.

Question 17

6 strategies for migration

Answer 17

Rehosting
Replatforming
Refactoring/re-architecting
Repurchasing
Retaining
Retiring

Question 18

Rehosting

Answer 18

Also known as “lift-and-shift” involves moving applications without changes.

Question 19

Replatforming

Answer 19

Also known as “lift, tinker and shift”.

o Involves making few cloud optimisations to realise tangible benefit.

o Optimisation achieved without changing core architecture of application.

Question 20

Refactoring/re-architecting

Answer 20

o Involves reimagining how application is architected and developed by using cloud-native features.

o Driven by strong business need to add features, scale or performance that would be difficult to achieve in application’s existing environment.

Question 21

Repurchasing

Answer 21

o Moving from traditional license to software-as-a-service model.

o E.g. migrating from customer relationship management (CRM) system to Salesforce.com

Question 22

Retaining

Answer 22

o Keeping applications that are critical for business in source environment.

o Might include applications that require major refactoring before they can be migrated or work postponed until later time.

Question 23

Retiring

Answer 23

Process of removing applications no longer needed

Question 24

Conditions to drive innovation with AWS (3):

Answer 24

Current state
Desired state
Problems you are trying to solve

Question 25

Innovate with AWS Services

Answer 25

Serverless applications
Artificial intelligence
Machine learning

Question 26

Serverless applications

Answer 26

o Serverless – applications that don’t require you to provision, maintain or administer services.

o Don’t need to worry about fault tolerance or availability.
 AWS handles capabilities for you.

o AWS Lambda example of service can use to run serverless applications.
 Design architecture to trigger Lambda functions to run your code – bypass need to manage fleet of servers.

o Building architecture with serverless applications enables developers to focus on core product instead of managing and operating servers.

Question 27

Artificial intelligence

Answer 27

o AWS offers variety of services powered by AI.

o Can perform tasks:
 Convert speech to text with Amazon Transcribe.
 Discover patterns in text with Amazon Comprehend.
 Identify potentially fraudulent online activities with Amazon Fraud Detector.
 Build voice and text chatbots with Amazon Lex.

Question 28

Machine Learning

Answer 28

o Traditional ML complex, expensive, time consuming, error prone.

o Amazon SageMaker to remove difficult work from process.
 Empower to build, train and deploy ML models quickly.

Question 29

Machine Learning used to:

Answer 29

Analyse data
Solve complex problems
Predict outcomes before they happen

Question 30

AWS Snow Family

Answer 30

Collection of physical devices that help to physically transport up to exabytes of data into and out of AWS.

Question 31

AWS Snow Family Members

Answer 31

AWS Snowcone

AWS Snowball (Snowball Edge Storage Optimised and Snowball Edge Compute Optimised)

AWS Snowmobile

Question 32

AWS Snowcone

Answer 32

o Small, rugged, and secure edge computing and data transfer device.

o Features 2 CPUs, 4 GB of memory, 8 TB of usable storage.

Question 33

AWS Snowball (Snowball Edge Storage Optimised)

Answer 33

• Well suited for large-scale data migrations and recurring transfer workflows and local computing with higher capacity needs.

Question 34

AWS Snowball (Snowball Edge Compute Optimised)

Answer 34

•	Provides powerful computing resources for use cases:
o	Machine learning.
o	Full motion video analysis.
o	Analytics.
o	Local computing stacks.

Question 35

AWS Snowmobile

Answer 35

o Exabyte-scale data transfer service used to move large amounts of data to AWS.

o Can transfer up to 100 petabytes of data per Snowmobile.
 45-foot long ruggedized shipping container pulled by semi-trailer truck.