The document provides an overview of AWS Lambda, a serverless compute service that executes code in response to events, automatically managing resources and scaling. It discusses key features such as cost efficiency, automatic scaling, and integration with other AWS services, along with practical steps for deploying code using various methods. Additionally, it covers use cases and logging capabilities for monitoring execution within a serverless architecture.

1. Auto Retweet Using AWS
Lambda
Srushith R
@SrushithR
CodeOps Technologies
Krishna Kishore (KK)

2. How will the application
handle server hardware failure?
How can I control
Serversaccess from my servers?
When should I decideto
scale out my servers?
When should I decideto
scale up myservers?
What size servers are
right for my budget?
How much remaining
capacity do my
servers have?
(AAHHHHHHHHH!!)
How will I keep
my server OS
patched?
How many
servers should I
budget for?
Content source: https://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-getting-started-with-
serverless-architectures-cmp211
2

3. • VMs
• Machine as the unit of scale
• Abstracts the hardware
• Containers
• Application as the unit of scale
• Abstracts the OS
• Serverless
• Functions as the unit of scale
• Abstracts the language runtime
AWS Lambda
Amazon ECS
Amazon EC2
What is Serverless
computing?
Content source: https://www.slideshare.net/AmazonWebServices/aws-reinvent-2016-
getting-started-with-serverless-architectures-cmp211
3

4. AWS Lambda 4

5. Topics covered: AWS
Lambda
 Overview
 Key features
 Working with Lambda
 Developing, deploying and testing on Lambda
 Demo
 Logging
 Benefits
 Use cases
5

6. Lambda: Overview
 AWS Lambda is a serverless compute service that
runs your code in response to events and
automatically manages the underlying compute
resources for you
 It executes your code only when needed and scales
automatically, from a few requests per day to
thousands per second
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Content source: https://aws.amazon.com/documentation/

7. Lambda: Overview
 You pay only for the compute time you consume -
there is no charge when your code is not running
 With AWS Lambda, you can run code for virtually any
type of application or backend service - all with zero
administration
7
Content source: https://aws.amazon.com/documentation/

8. Lambda: Key features 8
Extend Other
AWS Services
with Custom
Logic
Build Custom
Back-end
Services
Completely
Automated
Administration
Built-in Fault
Tolerance
Automatic
Scaling
Run Code at
Edge Locations
Integrated
Security Model

9. Classical Architecture 9
Content source: https://blog.couchbase.com/serverless-faas-aws-lambda-java/

10. Serverless Architecture
Content source: https://blog.couchbase.com/serverless-faas-aws-lambda-java/
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11. Lambda integrated with
other services
11
Content source: https://www.slideshare.net/AmazonWebServices/aws-lambda-and-the-serverless-cloud

12. Triggers for Lambda 12
Content source: https://www.slideshare.net/AmazonWebServices/aws-lambda-and-the-serverless-cloud

13. Working with Lambda 13
Content source: https://aws.amazon.com/lambda/

14. Bring your own code
• Node.js, Java, Python
• Bring your own libraries
(even native ones)
Simple resource model
• Select power rating from
128 MB to 1.5 GB
• CPU and network
allocated proportionately
• Reports actual usage
Flexible authorization
• Securely grant access to
resources, including
VPCs
• Fine-grained control
over who can call your
functions
Flexible use
• Call or send events
• Integrated with other
AWS services
• Build whole serverless
ecosystems
Using Lambda 14

15. Lambda execution
environment
15
Linux kernel version –
4.4.51-
40.60.amzn1.x86_64
Public Amazon Linux AMI
version (AMI name: amzn-
ami-hvm-
2016.03.3.x86_64-gp2)
Image source: https://en.wikipedia.org/wiki/Linux_kernel

16. Lambda runtime
Lambda supports the following runtime versions:
16
Node.js
• v4.3.2
• v6.10.2
Java
• Java 8
Python
• Python
3.6
• Python
2.7
.NET Core
• .NET
Core
1.0.1 (C#)
Note: If you are using any native binaries in your code, make sure they are compiled in this
environment. Also note that only 64-bit binaries are supported on AWS Lambda

17. Three ways to create a
Lambda function
17
Content source: https://aws.amazon.com/documentation/
Lambda
AWS Lambda
console (web
User
Interface)
AWS SDK
(Software
Development
Kit)
AWS CLI
(Command
Line Interface)

18. Deploying you code 18
There are three ways to deploy your code :

19. Logging in AWS Lambda
19
Your Lambda function can contain logging statements. AWS Lambda
writes these logs to CloudWatch. Logging can be done in two ways:
Content source: https://aws.amazon.com/documentation/
Logging
Print statements
Language specific
logging libraries

20. Amazon CloudWatch logs
 You can use Amazon CloudWatch Logs to monitor,
store, and access your log files from AWS
Lambda. You can then retrieve the associated log
data from CloudWatch Logs
 Archive Log Data—You can use CloudWatch Logs to
store your log data in highly durable storage
20
Content source: https://aws.amazon.com/documentation/

21. Accessing CloudWatch logs
for lambda
21
Content source: https://www.slideshare.net/AmazonWebServices/aws-lambda-and-the-serverless-cloud

22. Lambda limits 22
Content source: http://docs.aws.amazon.com/lambda/latest/dg/limits.html

23. 1
No Servers to
Manage
2
Continuous
Scaling
3
Subsecond
Metering
Benefits 23

24. Lambda use cases 24
Content source: https://www.slideshare.net/AmazonWebServices/aws-lambda-and-the-serverless-cloud

25. 25
DEMO!

26. Python code sample 26
The code is available in the github repo:
https://github.com/CodeOpsTechnologies/Real_time_retweets
Prerequisites for the zip file:
1. Python-twitter module:
The module must be installed into a separate folder. Use
the modified pip command:
pip install --target <target folder path> python-twitter
Note: The python code uses boto3 module, but installing it is not
required as it is available as a default module in AWS Lambda

27. Steps to deploy code to
Lambda
1. Create a zip file with the python code and dependency
modules (python-twitter).
2. Create a Lambda function
 Upload the zip file
 Define environment variables and encrypt them
3. Create an event to schedule the lambda every one hour
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28. Create Lambda 28

29. Encrypt Environment Variables 29
Enable encryption to
encrypt the environment
variables
choose an
encryption key

30. Lambda function handler 30
handler is of the format:
<python code file
name>.lambda_handler
IAM role with logging
permissions

31. Input to the Lambda 31
twitter user name you
want to retweet from
(without ‘@’)

32. Schedule an event 32
choose ‘rules’ under
‘events’ in CouldWatch
select ‘schedule’

33. 33
schedule a fixed rate or as
a cron expression
Schedule an event

34. Select target Lambda 34
select the target
Lambda function

35. Pass the input event 35
select ‘constant’ and add
the input event in JSON
format

36. Create! 36

37. Schedule rule 37

38. Output 38

39. Serverless Summit
Join us at India’s first
conference on serverless
technologies!
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