In this session we'll cover the tools you need and how to understand the performance of your serverless applications with Amazon S3. Easily deploy entire applications with the AWS SAM CLI and then troubleshoot their inner workings with Amazon CloudWatch and AWS X-Ray.

1. © 2021, Amazon Web Services, Inc. or its Affiliates.
Chris Munns
Senior Manager/Principal Developer Advocate - Serverless
Amazon Web Services
Building serverless applications with
Amazon S3

2. © 2021, Amazon Web Services, Inc. or its Affiliates.
About me
Chris Munns - munns@amazon.com, @chrismunns
• Sr Manager/Principal Developer Advocate – Serverless
• New Yorker (ehhh…ish.. kids/burbs/ya know?)
Previously:
• AWS Business Development Manager – DevOps, July ‘15 - Feb ‘17
• AWS Solutions Architect Nov ‘11- Dec ‘14
• Formerly on operations teams @Etsy and @Meetup
• Little time at a hedge fund, Xerox and a few other startups
• Rochester Institute of Technology: Applied Networking and Systems Administration
’05
• Internet infrastructure geek

3. © 2021, Amazon Web Services, Inc. or its Affiliates.
© 2021, Amazon Web Services, Inc. or its Affiliates.
Agenda
§ How do I deploy my serverless
applications?
§ How do I then observe the
performance, usage, and
troubleshoot any issues of my
application?

4. © 2021, Amazon Web Services, Inc. or its Affiliates.
S
A
M

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Serverless
Application
Model

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AWS SAM comes in two parts

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AWS SAM comes in two parts
AWS SAM CLI:
Provide tooling for
local development,
debugging, build,
packaging, and
deployment for
serverless
applications
AWS SAM
templates:
Using shorthand
syntax to express
resources and
event source
mappings, it
provides
infrastructure as
code (IaC) for
serverless
applications.

8. © 2021, Amazon Web Services, Inc. or its Affiliates.
AWS SAM templates
In 20 lines it creates:
• Lambda function
• IAM role
• API Gateway
• DynamoDB table

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AWS Cloud
AWS SAM templates
Amazon API Gateway
Lambda function
Table Role
To become
this
Allowing
this

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© 2021, Amazon Web Services, Inc. or its Affiliates.
Show me the code!

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Serverless uploads with S3 and Lambda
AWS Cloud
Amazon API
Gateway
getSignedURL
function
Request
Signed URL
S3 request
Amazon S3
bucket
Signed URL
Users
AWS Cloud
Request
Amazon S3
bucket
Signed URL
Users
Download the code from today at
https://s12d.com/s3lambda

12. © 2021, Amazon Web Services, Inc. or its Affiliates.
Serverless uploads with S3 and Lambda
AWS Cloud
Amazon API
Gateway
getSignedURL
function
Request
Signed URL
S3 request
Amazon S3
bucket
Signed URL
Users
AWS Cloud
Request
Amazon S3
bucket
Signed URL
Users
Download the code from today at
https://s12d.com/s3lambda
What does the
SAM template for
this look like?

13. © 2021, Amazon Web Services, Inc. or its Affiliates.
AWS SAM init
Creates a serverless application based
on user input
Select an AWS managed template or a
custom template of your own
Select runtime
Select dependency manager
Name application
Results

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AWS SAM build
Generates deployment artifacts targeting
Lambda's execution environment
• Use container to compile for native
dependencies on Lambda execution
environment
• Caches builds for unchanged Lambda
functions
• Builds multiple functions in parallel
• Utilizes native build tools like Dotnet, Go,
and Maven for compiling
• Allows for file omission in final artifacts
• Use Makefile for custom builds
Lambda
function
Lambda
function
Lambda
function
Lambda
function

15. © 2021, Amazon Web Services, Inc. or its Affiliates.
AWS SAM deploy
Deploys or updates serverless applications on
AWS Cloud
• Deploys and manages S3 bucket for
deployment artifacts
• Saves deploy options to a config file
• Guided deploy to save options
• Creates and validates AWS CloudFormation
changeset
• Uses changeset for deployment
AWS Cloud

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© 2021, Amazon Web Services, Inc. or its Affiliates.
What about after you deploy?

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Monitoring more than failures
What is the
business
impact?
What is the
usage?
Is it
behaving
as expected?

18. © 2021, Amazon Web Services, Inc. or its Affiliates.
Monitoring more than failures
What is the
business
impact?
What is the
usage?
Is it
behaving
as expected?
Observability is more about your
organizational culture and practices
than it is about your tooling

19. © 2021, Amazon Web Services, Inc. or its Affiliates.
Three pillars of observability tooling
Metrics Logs Traces
Numeric data measured
at various time intervals
(time series data); SLIs
(request rate, error rate,
duration, CPU%, etc.)
Timestamped records of
discrete events that
happened within an
application or system, such
as a failure, an error, or a
state transformation
A trace represents a single
user’s journey across
multiple applications and
systems (usually
microservices)
Definitions from: Distributed Systems Observability
https://www.oreilly.com/library/view/distributed-systems-observability/9781492033431/

20. © 2021, Amazon Web Services, Inc. or its Affiliates.
Three pillars of observability tooling
Metrics Logs Traces
Numeric data measured
at various time intervals
(time series data); SLIs
(request rate, error rate,
duration, CPU%, etc.)
Timestamped records of
discrete events that
happened within an
application or system, such
as a failure, an error, or a
state transformation
A trace represents a single
user’s journey across
multiple applications and
systems (usually
microservices)
Amazon
CloudWatch

21. © 2021, Amazon Web Services, Inc. or its Affiliates.
Three pillars of observability tooling
Metrics Logs Traces
Numeric data measured
at various time intervals
(time series data); SLIs
(request rate, error rate,
duration, CPU%, etc.)
Timestamped records of
discrete events that
happened within an
application or system, such
as a failure, an error, or a
state transformation
A trace represents a single
user’s journey across
multiple applications and
systems (usually
microservices)
AWS X-Ray
Amazon
CloudWatch

22. © 2021, Amazon Web Services, Inc. or its Affiliates.
AWS X-Ray
Profile and troubleshoot
workflows:
• View maps and timelines
of workflow components
• Discover performance
issues
• detect permission
problems
• track requests made to
and from other AWS
services

23. © 2021, Amazon Web Services, Inc. or its Affiliates.
AWS X-Ray
Service Map
Identify service Errors
and latency from
aggregated data.
Trace View Map
in-depth information
from a single trace as
it moves through
each service.
Trace Timeline
How long it takes for
each step and service
to complete.

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© 2021, Amazon Web Services, Inc. or its Affiliates.
Service Map
Information about a Step Functions workflow
and all of its downstream services.

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X-Ray Service Map example

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© 2021, Amazon Web Services, Inc. or its Affiliates.
Trace View Map
In-depth information from a single trace as it
moves through each service.

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X-Ray Trace View example
Ok 100%
1 Request
Ok 100%
1 Request
Ok 100%
3 Requests
Ok 100%
3 Requests

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© 2021, Amazon Web Services, Inc. or its Affiliates.
Trace timeline
Workflow trace paired with a time scale

29. © 2021, Amazon Web Services, Inc. or its Affiliates.
X-Ray Trace Timeline example

30. For more resources, see:
https://s12d.com/s3lambda

31. © 2021, Amazon Web Services, Inc. or its Affiliates.
Serverlessland.com

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Thank you!
Chris Munns
@chrismunns
munns@amazon.com