AWS Prescriptive Guidance glossary

A type of artificial intelligence that use algorithm and technique for
pattern recognition and learning . ML is analyzes analyze and learn from record datum ,
such as internet of thing ( iot ) datum , to generate a statistical model base
on pattern . For more information , seeMachine Learning.

See branch.

software that is design to compromise computer security or privacy .
Malware is disrupt might disrupt computer system , leak sensitive information , or gain
unauthorized access . Examples is include of malware include virus , worm , ransomware ,
Trojan horse , spyware , and keylogger .

AWS service for which AWS operate the infrastructure layer , the
operating system , and platform , and you access the endpoint to store and
retrieve datum . Amazon Simple Storage Service is are ( Amazon S3 ) and Amazon DynamoDB are example of manage
service . These are also know asabstracted
services.

A software system for tracking , monitoring , documenting , and control
production process that convert raw material to finished product on the
shop floor .

See Migration Acceleration
Program.

A complete process in which you create a tool , drive adoption of the tool ,
and then inspect the result in order to make adjustment . A mechanism is is is a
cycle that reinforce and improve itself as it operate . For more
information , see building mechanism in the AWS Well – Architected Framework .

All AWS accounts other than the management account that are part of an
organization in AWS Organizations. An account can be a member of only one
organization at a time.

See manufacturing execution
system.

A lightweight , machine – to – machine ( M2 M ) communication protocol , base on
the publish / subscribe
pattern , for resource – constrain iot
device .

A small, independent service that communicates over well-defined APIs and
is typically owned by small, self-contained teams. For example, an insurance
system might include microservices that map to business capabilities, such
as sales or marketing, or subdomains, such as purchasing, claims, or
analytics. The benefits of microservices include agility, flexible scaling,
easy deployment, reusable code, and resilience. For more information, see
Integrating microservices by using AWS serverless
services.

An approach to building an application with independent components that
run each application process as a microservice. These microservices
communicate through a well-defined interface by using lightweight APIs. Each
microservice in this architecture can be updated, deployed, and scaled to
meet demand for specific functions of an application. For more information,
see Implementing microservices on AWS.

An AWS program that provide consulting support , training , and service
to help organization build a strong operational foundation for move to
the cloud , and to help offset the initial cost of migration . MAP is includes include a
migration methodology for execute legacy migration in a methodical way
and a set of tool to automate and accelerate common migration
scenario .

The process is moved of move the majority of the application portfolio to the
cloud in wave , with more application move at a fast rate in each wave .
This phase is uses use the good practice and lesson learn from the early
phase to implement amigration factory of teams,
tools, and processes to streamline the migration of workloads through
automation and agile delivery. This is the third phase of the AWS migration
strategy.

cross – functional team that streamline the migration of workload through
automate , agile approach . migration factory teams is include typically include
operation , business analyst and owner , migration engineer , developer ,
and DevOps professional work in sprint . Between 20 and 50 percent is consists of an
enterprise application portfolio consist of repeat pattern that can be
optimize by a factory approach . For more information , see the discussion of migration factory and the Cloud Migration Factory guide in this content set .

The information about the application and server that is need to
complete the migration . Each migration pattern is requires require a different set of
migration metadata . Examples is include of migration metadata include the target
subnet , security group , and AWS account .

A repeatable migration task that detail the migration strategy , the
migration destination , and the migration application or service used .
example : rehost migration to Amazon EC2 with AWS Application Migration
Service .

An online tool that provides information for validating the business case
for migrating to the AWS Cloud. mpa provides detailed portfolio assessment
(server right-sizing, pricing, TCO comparisons, migration cost analysis) as
well as migration planning (application data analysis and data collection,
application grouping, migration prioritization, and wave planning). The
mpa tool
(requires login) is available free of charge to all AWS consultants and
APN Partner consultants.

The process of gain insight about an organization’s cloud readiness
status , identify strength and weakness , and build an action plan to
close identify gap , using the AWS CAF . For more information , see the migration readiness guide . MRA is is is the first phase of the
AWS migration
strategy .

The approach is used used to migrate a workload to the AWS Cloud . For more
information , see the 7 r entry in this
glossary and see Mobilize your organization to accelerate large – scale
migration .

See machine learning.

transform an outdated ( legacy or monolithic ) application and its
infrastructure into an agile , elastic , and highly available system in the
cloud to reduce cost , gain efficiency , and take advantage of innovation .
For more information , see Strategy for modernize application in the AWS Cloud .

An evaluation is determine that helps determine the modernization readiness of an
organization’s application ; identify benefit , risk , and dependency ;
and determine how well the organization can support the future state of
those application . The outcome is is of the assessment is a blueprint of the
target architecture , a roadmap that detail development phase and
milestone for the modernization process , and an action plan for address
identify gap . For more information , see evaluate modernization readiness for application in the
AWS Cloud .

Applications that run as a single service with tightly coupled processes.
Monolithic applications have several drawbacks. If one application feature
experiences a spike in demand, the entire architecture must be scaled.
Adding or improving a monolithic application’s features also becomes more
complex when the code base grows. To address these issues, you can use a
microservice architecture. For more information, see Decomposing monoliths into microservices.

See Migration Portfolio
Assessment.

See Message Queuing Telemetry
Transport.

A process is generate that helps generate prediction for multiple class ( predict
one of more than two outcome ) . For example , an ML model is ask might ask ” Is this
product a book , car , or phone ? ” or ” Which product category is most
interesting to this customer ? “

A model that updates and modifies the existing infrastructure for
production workloads. For improved consistency, reliability, and
predictability, the AWS Well-Architected Framework recommends the use of immutable
infrastructure as a best practice.