AWS Snowball User Guide
scripts—along with an application specification file (p. 115). Revisions are stored
in Amazon S3 (p. 113) bucket (p. 122)s or GitHub (p. 133) repositories. For
Amazon S3, a revision is uniquely identified by its Amazon S3 object key and its
ETag, version, or both. For GitHub, a revision is uniquely identified by its commit
ID.
application specification file AWS CodeDeploy (CodeDeploy) (p. 116): A YAML-formatted file used to map
the source files in an application revision to destinations on the instance; specify
custom permissions for deployed files; and specify scripts to be run on each
instance at various stages of the deployment process.
application version AWS Elastic Beanstalk (p. 118): A specific, labeled iteration of an application
that represents a functionally consistent set of deployable application code. A
version points to an Amazon S3 (p. 113) object (a JAVA WAR file) that contains
the application code.
AppSpec file See application specification file.
AUC Area Under a Curve. An industry-standard metric to evaluate the quality of a
binary classification machine learning model. AUC measures the ability of the
model to predict a higher score for positive examples, those that are “correct,”
than for negative examples, those that are “incorrect.” The AUC metric returns a
decimal value from 0 to 1. AUC values near 1 indicate an ML model that is highly
accurate.
ARN See Amazon Resource Name (ARN).
artifact AWS CodePipeline (p. 117): A copy of the files or changes that will be worked
upon by the pipeline.
asymmetric encryption Encryption (p. 130) that uses both a public key and a private key.
asynchronous bounce A type of bounce (p. 122) that occurs when a receiver (p. 147) initially accepts
an email message for delivery and then subsequently fails to deliver it.
atomic counter DynamoDB: A method of incrementing or decrementing the value of an existing
attribute without interfering with other write requests.
attribute A fundamental data element, something that does not need to be broken
down any further. In DynamoDB, attributes are similar in many ways to fields or
columns in other database systems.
Amazon Machine Learning: A unique, named property within an observation in a
data set. In tabular data, such as spreadsheets or comma-separated values (.csv)
files, the column headings represent the attributes, and the rows contain values
for each attribute.
Aurora See Amazon Aurora.
authenticated encryption Encryption (p. 130) that provides confidentiality, data integrity, and authenticity
assurances of the encrypted data.
authentication The process of proving your identity to a system.
Auto Scaling A web service designed to launch or terminate instance (p. 136)s automatically
based on user-defined policies (p. 144), schedules, and health check (p. 134)s.
See Also https://aws.amazon.com//autoscaling.
Auto Scaling group A representation of multiple EC2 instance (p. 129)s that share similar
characteristics, and that are treated as a logical grouping for the purposes of
instance scaling and management.
115
To Next Page
Loading...