The document discusses serverless architectures and how they rely on third-party backend services (BaaS) or custom code run in ephemeral containers through Function as a Service (FaaS) platforms like AWS Lambda. It provides the example use case of processing uploaded XML files and storing them in a database. Amazon S3 object storage and AWS RDS relational database services are introduced as components that can be used for serverless applications.

1. WAVELABS

2. Serverless architectures refer to applications that
significantly depend on third-party services (knows as
Backend as a Service or "BaaS") or on custom code that's run
in ephemeral containers (Function as a Service or "FaaS"),
the best known vendor host of which currently is AWS
Lambda.
Serverless computing, is billed by an abstract measure of the
resources required to satisfy the request, rather than per
virtual machine, per hour.
SERVERLESS ARCHITECTURE

3. USE CASE
"Process uploaded XML and store in DB"

4. AWS LAMBDA

5. Amazon Simple Storage Service (Amazon S3) is object
storage with a simple web service interface to store and
retrieve any amount of data from anywhere on the web.
It is designed to deliver 99.999999999% durability, and
scale past trillions of objects worldwide.
S3 is used as primary storage for cloud-native applications;
as a bulk repository, or "data lake," for analytics; as a
target for backup & recovery and disaster recovery; and with
serverless computing.
AWS SIMPLE STORAGE SERVICE

6. RDS is a web service that makes it easier to set up,
operate, and scale a relational database in the cloud.
It provides cost-efficient, resizeable capacity for an
industry-standard relational database and manages
common database administration tasks.
AWS RELATIONAL DATA SERVICE

7. LETS SEE LIVE