CSC SKILL Workbook-19CS3281S

SKILL WORKBOOK
19CS3281S-CLOUD SERVERLESS COMPUTING
Team CSC; Dr.V.NARESH, Dr.NAWEEN

K L UNIVERSITY | 19CS3281S-CLOUD SERVERLESS COMPUTING
19CS3281S-CLOUD SERVERLESS COMPUTING-SKILL
SKILL WORKBOOK
STUDENT NAME
REG. NO
YEAR
SEMESTER
SECTION
FACULTY Dr.V.NARESH,Dr.NAWEENKUMAR
1
Organization of the STUDENT SKILL WORKBOOK

The laboratory framework includes a creative element but shifts the time-intensive
aspects outside of the Two-Hourclosed laboratory period. Within this structure, each
laboratory includes three parts: Preskill, In-skill, and Post-skill.
a. Pre-SKILL
The Preskill exercise is a homework assignment that links the lecture with the
laboratory period - typically takes 2 hours to complete. The goal is to synthesize the
information they learn in lecture with material from their textbook to produce a
working piece of software. Preskill Students attending a two-hour closed laboratory
are expected to make a good-faith effort to complete the Preskill exercise before
coming to the skill. Their work need not be perfect, but their effort must be real
(roughly 80 percent correct).
b. In-SKILL
The In-skill section takes place during the actual laboratory period. The First hour of
the laboratory period can be used to resolve any problems the students might have
experienced in completing the Preskill exercises. The intent is to give constructive
feedback so that students leave the skill with working Preskill software - a significant
accomplishment on their part. During the second hour, students complete the In-skill
exercise to reinforce the concepts learned in the Preskill. Students leave the skill
having received feedback on their Preskill and In-skill work.
c. Post-SKILL
The last phase of each laboratory is a homework assignment that is done following
the laboratory period. In the Post-skill, students analyse the efficiency or utility of a
given system call. Each Post-skill exercise should take roughly 120 minutes to
complete.
2
2021-22 EVEN SEMESTER SKILL CONTINUOUS EVALUATION
In-skill
Sl. Pre-skill Postl skill Viva Voce Total Faculty
Date Experiment Name
No (5M) LOGIC EXECUTION RESULT ANALYSIS (5M) (5M) (50M) Signature
(10M) (10M) (10M) (5M)
3
2021-22 EVEN SEMESTER SKILL CONTINUOUS EVALUATION
4
WEEK Name of The Experiment / TOPIC Page

No.
1 Create a Simple Chat Bot Serverless Applicatin With Amazon LEX 6-14
2 Create a AWS S3 Bucket and Configuring as a Static Website Hosting 15-24
3 Create a AWS CloudFront Distribution for Content Delivery Network 25-33

to restrict s3 bucket
4 Implement Amazon API Gateway EndPoint and Writing it up to our 34-41
WebSite
5 Create an AWS Lambda Function to create a test case for our Lambda 42-50
Mock
6 Create A DynamoDB Table for seeding wheather table from CSV file 51-63
for API.
7 Build a serverless web application for Dynamic website hosting using 64-67
S3 , Route53 ,CloudFront and Certificate Manager
8 Develop Serverless WebApplication on AWS using GET-METHOD 68-70

getemployeedeails by email
9 Develop Serverless WebApplication on AWS using POST-METHOD 71-73
postemployeedeails using email
10 Build a Serverless Application for Amazon Rekognition Service for 74-76
given Image using Lambda, S3Bucket,IAM role and API Gateway.
11 Create First serverless applications in AWS,AZURE,GCP 77-82
a)AWS-Implementing a Serverless Architecture for the Cafe
b)AZURE- Create a WEB APP in Blob Storage and upload images

with Azure Functions
c)GCP- Building Serverless Front-End Applications Using Google

Cloud Platform
12 Build a Node.js Serverless Application using AWS SAM, Build 83-88
serverless application using Kubernetes and Create serverless
application using Openshift container platform web console
5
WEEK –1
SKILL 1:
Create a Simple Chat Bot Serverless Applicatin With
Amazon LEX
6
7
8
1. Can my cat go outside

2. Is it warm enough for my cat
3. Can I let my cat out in {city_str}
4. Should my cat wear booties in {city_str}
5. Will my cat stay dry in {city_str}
9
So you want to know if your cat can go out today in {city_str}?
Sorry, can you please repeat your initial question?
10
Congratulations
Refer:
1. https://www.coursera.org/learn/aws-fundamentals-building-serverless-
applications/supplement/rn0YB/exercise-1-1-creating-a-simple-bot-with-lex
11
QUIZ:
Amazon Lex
Question 1
What is an "intent"?
a) The response from Amazon Lex back to the user.

b) An Amazon Lex feature that does natural langauge processing
c) A particular goal that the user wants to achieve.
Question 2
What is a slot?
a) Data that the user must provide to fulfill the intent.

b) The response from Amazon Lex back to the user.
Question 3
What service does Amazon Lex use for text-to-speech?
a) Amazon Alexa
b) Amazon Poly
c) Amazon Rekognition
d) Amazon Alexa
WRITE YOUR OBSERVATIONS HERE:
12
PASTE YOUR OUTPUT SCREEN HERE:
13
(For Evaluator’s use only)
Comment of the Evaluator (if Any) Evaluator’s Observation

Marks Secured: _______ out of ________
Full Name of the Evaluator:
Signature of the Evaluator Date of Evaluation:
14
WEEK – 2
SKILL 2:
Creating a S3 Bucket and Configuring as a Static
Website
15
16
17
{
"Version": "2012-10-17",
"Statement": [
{
"Sid": "AddPerm",
"Effect": "Allow",
"Principal": "*",
"Action": [
"s3:GetObject"
],
"Resource": [
"arn:aws:s3:::2019-03-01-er-website/*"
]
}
]
}
18
https://s3.amazonaws.com/awsu-hosting/CSA-TF-100-SCSRVL-10-EN/s3website.zip
+ images
- mobile.jpg
+ scripts
- config.js
- helper.js
- jquery.js
- text.js
- voice.js
+ styles
- reset.css
- text.css
- voice.css
+ cities.md
+ error.html
+ favicon.ico
+ index.html
+ README.md
+ text.html
+ voice.html
19
20
21
<h1>Too cold for my cat?</h1>
<h1>Too hot for my cat?</h1>
22
WRITE YOUR OBSERVATION HERE:
23

24
WEEK - 3
SKILL-3
Create a AWS CloudFront Distribution for Content
Delivery Network to restrict s3 bucket
25
26
27
28
29
"Version": "2012-10-17",
"Statement": [
{
"Sid": "AddPerm",
"Effect": "Allow",
"Principal": "*",
"Action": "s3:GetObject",
"Resource": "arn:aws:s3:::2019-03-01-er-website/*"
},
{
"Sid": "2",
"Effect": "Allow",
"Principal": {
"AWS": "arn:aws:iam::cloudfront:user/CloudFront Origin Access Identity E1KO2GAPIWFF7X"
},
}
]
}
"Version": "2012-10-17",
"Statement": [
{
"Sid": "2",
"Effect": "Allow",
"Principal": {
"AWS": "arn:aws:iam::cloudfront:user/CloudFront Origin Access Identity E1KO2GAPIWFF7X"
},
}
]
}
30
31
32

33
WEEK - 4
SKILL-4
Amazon API Gateway EndPoint and Writing it up to our

WebSite
34
"city_str": "VEGAS"
}
35
no data
{"Content-Type":"application/json"}
HTTP Method: POST, Resource Path: /
Method request path: {}

Method request query string: {}
Method request headers: {}
Method request body before transformations: {
"city_str": "VEGAS"
}
Method response body after transformations:
Method response headers: {Content-Type=application/json}
Successfully completed execution
Method completed with status: 200
"temp_int": 69
}
36
"city_str": "CHICAGO"
}
"temp_int": 69
}
{"Content-Type":"application/json"}
Execution log for request bc5f8d95-3f6b-11e9-9e4c-a7f1e746c2c6
Starting execution for request: bc5f8d95-3f6b-11e9-9e4c-a7f1e746c2c6

HTTP Method: POST, Resource Path: /
Method request path: {}
Method request query string: {}
Method request headers: {}
Method request body before transformations: {
"city_str": "CHICAGO"
}
37
Method response body after transformations: {
"temp_int": 69
}
Method response headers: {Content-Type=application/json}
Successfully completed execution
Method completed with status: 200
38
"message": "Missing Authentication Token"

}
var API_GATEWAY_URL_STR = null;
39
var API_GATEWAY_URL_STR = "https://Your-Invoke-URL.execute-api.us-east-1.amazonaws.com/test";
40

41
WEEK - 5
SKILL-5
Create an AWS Lambda Function to create a test case for
our Lambda Mock
42
"Version": "2012-10-17",
"Statement": [
43
{
"Effect": "Allow",
"Action": [
"logs:CreateLogGroup",
"logs:CreateLogStream",
"logs:PutLogEvents"
],
"Resource": [
"arn:aws:logs:*:*:*"
]
}
]
}
function handler(event, context, callback){

var
city_str = event.city_str,
response = {
city_str: city_str,
temp_int: 74
};
console.log(response);
callback(null, response);
}
exports.handler = handler;
44
"city_str": "LA"
}
45
46
47
{
"city_str": "SEATTLE"
}
"city_str": "SEATTLE",
"temp_int": 74
}
Sending request to https://lambda.us-east-1.amazonaws.com/2015-03-31/functions/arn:aws:lambda:us-east-

1:179741345863:function:get_weather/invocations
Method response body after transformations: {"city_str":"SEATTLE","temp_int":74}
48
WRITE YOUR OBSERVATIONS:
49

50
WEEK - 6
SKILL-6
CREATING A DynamoDB TABLE for seeding wheather table
from CSV file for API.
51
52
53
54
exports.handler = function(event, context, callback) {

var
AWS = require("aws-sdk"),
fs = require("fs"),
item = {},
some_temp_int = 0,
params = {},
DDB = new AWS.DynamoDB;
AWS.config.update({
region: "us-east-1"
});
fs.readFileSync("cities.csv", "utf8").split('\n').map(function(item_str)
{
params.ReturnConsumedCapacity = "TOTAL";
params.TableName = "weather";
params.Item = {
"sc": {
"S": item_str.split(",")[0]
},
"t": {
"N": String(item_str.split(",")[1])
55
}
};
DDB.putItem(params, function(err, data){
if(err){
console.error(err);
}else{
//ignore output
}
});
});
setTimeout(function(){
callback(null, "ok");
}, 1000 * 10);
}
56
57
58
function handler(event, context, callback){

var
AWS = require("aws-sdk"),
DDB = new AWS.DynamoDB({
59
apiVersion: "2012-08-10",
region: "us-east-1"
}),
city_str = event.city_str.toUpperCase(),
data = {
city_str: city_str,
temp_int_str: 72
},
response = {},
params = {
TableName: "weather",
KeyConditionExpression: "sc = :v1",
ExpressionAttributeValues: {
":v1":{
S: city_str
}
}
};
DDB.query(params, function(err, data){

var
item = {},
response = {
statusCode: 200,
headers: {},
body: null
};
if(err){
response.statusCode = 500;
console.log(err);
response.body = err;
}else{
// console.log(data.Items[0]);
var data = data.Items[0];
if(data && data.t){
console.log(data.sc.S + " and " + data.t.N);
item = {
temp_int:Number(data.t.N),
city_str: data.sc.S
};
}else{
item = {
city_str: event.city_str
//when we don't return a temp, the client can say city not fo
und
};
}
60
}
response = item;
// console.log(response);
callback(null, response);
});
}
exports.handler = handler;
"city_str": "DENVER"
}
"temp_int": 38,
"city_str": "DENVER"
}
"city_str": "PITTSBURGH"
}
"temp_int": 78,
"city_str": "PITTSBURGH"
}
61
WRITE YOUR OBSERVATIONS:
62

63
WEEK - 7
SKILL-7
Build a serverless web application for Dynamic website hosting
using S3 , Route53 ,CloudFront and Certificate Manager
STEP BY STEP:
1)Initially will create s3 bucket in N.Virginia
2)Upload index.html file and make it public
3)Enable static webhosting (index.html)
4)Bucket policy /*( copy only after https://) in browser
5)Freenom website(naresh123.ml)
6)Route53(naresh123.ml)-NS&SOA
7)CloudFront( *.naresh123.ml, naresh123.ml)
8)Redirect http to https
9)Request for Certificate Manager(N.Virginia)
64
10)Request CNAME into Route53
11)Certificate issue
12)Add certificate and add naresh123.ml
13)Copy cloudfront domainname in browser
14)Create A record in Route53 (alias choos cloudfront)
15) Paste https://naresh123.ml in browser
REFER:
https://kluniversityin-
my.sharepoint.com/:f:/g/personal/naresh_vurukonda_kluniversity_i
n/EhaiQ0-
b7xVBgUV06dW_Iw8B5FeWf4_RHuKwU6JB47OAFA?e=qRdpqV
OUTPUT SCREEN:
65
66

67
WEEK - 8
SKILL-8
Develop Serverless WebApplication on AWS using GET-
METHOD getemployeedeails by email
REFER: https://kluniversityin-
my.sharepoint.com/:f:/g/personal/naresh_vurukonda_kluniversity_in/EqZzfykCMDBMixQkQqfnuoU
BgJKsYik1kWDBUyHvCTsXfQ?e=BalCVT
68
69
PASTE YOUR OUTPUT SCREENSHOT HERE:

70
WEEK - 9
SKILL-9
Develop Serverless WebApplication on AWS using POST-
METHOD postemployeedeails using email
REFER: https://kluniversityin-
my.sharepoint.com/:f:/g/personal/naresh_vurukonda_kluniversity_in/ErJU96i8QlBHuCMkV6HTkq0B
omak4hqMjWcqDqUiIpyMCw?e=kCuiMi
71
72

73
WEEK - 10
SKILL-10
Build a Serverless Application for Amazon Rekognition
Service for given Image using Lambda, S3Bucket,IAM
role and API Gateway
74
REFER:
https://kluniversityin-
my.sharepoint.com/:f:/g/personal/naresh_vurukonda_kluniversity_in/EmpPHQ43P1JLkfU9dal9oecB
AD9EgFqmeFmRS6E6_V_HiQ?e=a0D5mM
75

76
WEEK – 11
SKILL-11
Create First serverless applications in AWS,AZURE,GCP
A) AWS-Implementing a Serverless Architecture for the

Café
When you start the lab, your architecture will look like the following example:
At the end of this lab, your architecture should look like the following example:
77
Task 1: Downloading the source code
Task 2: Creating the DataExtractor Lambda function in the VPC
Task 3: Creating the salesAnalysisReport Lambda function
Task 4: Creating an SNS topic
Task 5: Creating an email subscription to the SNS topic
Task 6: Testing the salesAnalysisReport Lambda function
Task 7: Setting up an Amazon EventBridge event to trigger the Lambda function each day
Update from the café
Refer :
module13 challenge lab in awsacademy Architect Course:
78
B) AZURE- Create a WEB APP in Blob Storage and upload images with
Azure Functions
What is covered in this lab?

 Create an Azure Storage account and configure containers to host static websites and
images
 Create an Azure Function for uploading images to blob storage
 Resize images using Azure Functions
 Store image metadata in Cosmos DB
 Use Cognitive Services Vision API to auto-generate image captions
 Add authentication
In order to complete this lab you will need an Azure subscription. Please see the
prerequisite section for more details. If you don't have an Azure subscription, create
a free account before you begin
refer:
https://docs.microsoft.com/en-us/labs/build2018/serverlesswebapp/
79
80
C) GCP- Building Serverless Front-End Applications Using Google

Cloud Platform
The use of serverless applications by developers to handle the business logic of their
applications in on the high increase, but how does the Google Cloud — a major service
provider within the public cloud — allow developers to manage serverless applications?
Recently, the development paradigm of applications has begun to shift from manually having
to deploy, scale and update the resources used within an application to relying on third-party
cloud service providers to do most of the management of these resources. As a developer or
an organization that wants to build a market-fit application within the quickest time possible,
your main focus might be on delivering your core application service to your users while you
spend a smaller amount of time on configuring, deploying and stress testing your application.
If this is your use case, handling the business logic of your application in a serverless manner
might your best option. But how?
refer:
https://www.smashingmagazine.com/2020/11/serverless-frontend-
applications-google-cloud-platform/
81

82
WEEK - 12
SKILL-12
A) How to Build a Node.js Serverless Application using AWS SAM
In real life, you won’t be creating a lambda function in console. The best way to create and manage
lambda function is by using SAM or Serverless Application Model.
We are going to setup local development environment on a windows 10 system. And, we will do that
using SAM or Serverless Application Model. For your information, SAM is nothing but an open source
framework for building serverless applications.
nce environment is setup, we will create a Node.js lambda function. We will expose this lambda
function to internet using an API gateway endpoint. Once deployed to AWS cloud, we will test the
endpoint and complete this, During this journey, basically, we will be using below set of commands-
#Step 1 - Download a sample application sam init
#Step 2 - Navigate into project directory and Build your application cd

hello-world-app sam build
#Step 3 - Deploy your application sam deploy --guided
Prerequisite
 An AWS Account
 A Admin User With Access/Secret Key
 Admin right on local system to install software
 Basic Knowledge of SAM and Node.js
refer:
https://cloudkatha.com/how-to-build-a-node-js-
serverless-application-using-aws-
sam/?utm_source=rss&utm_medium=rss&utm_campa
ign=how-to-build-a-node-js-serverless-application-
using-aws-sam
Steps to Build a Node.js Serverless

Application using AWS SAM
1. Install Node.js Runtime
2. Install and Configure AWS CLI
83
3. Install SAM CLI
4. Install Git
5. Create a New Serverless Project
6. Understanding the Created Project
7. Build the Application
8. Deploy Your Serverless Application to Cloud
9. Verify the Serverless Application
10. Clean Up
84
B) Build serverless application using Kubernetes
85
86
C) Create serverless application using Openshift container platform web

console
87

88

CSC SKILL Workbook-19CS3281S

Uploaded by

Copyright:

Available Formats

CSC SKILL Workbook-19CS3281S

Uploaded by

Document Information

Original Description:

Copyright

Available Formats

Share this document

Share or Embed Document

Sharing Options

Did you find this document useful?

Is this content inappropriate?

Copyright:

Available Formats

CSC SKILL Workbook-19CS3281S

Uploaded by

Copyright:

Available Formats

SKILL WORKBOOK

19CS3281S-CLOUD SERVERLESS COMPUTING

Team CSC; Dr.V.NARESH, Dr.NAWEEN

Organization of the STUDENT SKILL WORKBOOK

2021-22 EVEN SEMESTER SKILL CONTINUOUS EVALUATION

WEEK Name of The Experiment / TOPIC Page

2 Create a AWS S3 Bucket and Configuring as a Static Website Hosting 15-24

3 Create a AWS CloudFront Distribution for Content Delivery Network 25-33

8 Develop Serverless WebApplication on AWS using GET-METHOD 68-70

a)AWS-Implementing a Serverless Architecture for the Cafe

b)AZURE- Create a WEB APP in Blob Storage and upload images

c)GCP- Building Serverless Front-End Applications Using Google

1. Can my cat go outside

So you want to know if your cat can go out today in {city_str}?

Sorry, can you please repeat your initial question?

a) The response from Amazon Lex back to the user.

a) Data that the user must provide to fulfill the intent.

WRITE YOUR OBSERVATIONS HERE:

PASTE YOUR OUTPUT SCREEN HERE:

(For Evaluator’s use only)

Comment of the Evaluator (if Any) Evaluator’s Observation

Full Name of the Evaluator:

Signature of the Evaluator Date of Evaluation:

<h1>Too cold for my cat?</h1>

<h1>Too hot for my cat?</h1>

WRITE YOUR OBSERVATION HERE:

PASTE YOUR OUTPUT SCREEN HERE:

(For Evaluator’s use only)

Comment of the Evaluator (if Any) Evaluator’s Observation

Full Name of the Evaluator:

Signature of the Evaluator Date of Evaluation:

WRITE YOUR OBSERVATIONS HERE:

PASTE YOUR OUTPUT SCREEN HERE:

(For Evaluator’s use only)

Comment of the Evaluator (if Any) Evaluator’s Observation

Full Name of the Evaluator:

Signature of the Evaluator Date of Evaluation:

Amazon API Gateway EndPoint and Writing it up to our

HTTP Method: POST, Resource Path: /

Method request path: {}

Execution log for request bc5f8d95-3f6b-11e9-9e4c-a7f1e746c2c6

Starting execution for request: bc5f8d95-3f6b-11e9-9e4c-a7f1e746c2c6

"message": "Missing Authentication Token"

var API_GATEWAY_URL_STR = null;

var API_GATEWAY_URL_STR = "https://Your-Invoke-URL.execute-api.us-east-1.amazonaws.com/test";

WRITE YOUR OBSERVATIONS HERE:

PASTE YOUR OUTPUT SCREEN HERE:

(For Evaluator’s use only)

Comment of the Evaluator (if Any) Evaluator’s Observation

Full Name of the Evaluator:

Signature of the Evaluator Date of Evaluation:

function handler(event, context, callback){

Sending request to https://lambda.us-east-1.amazonaws.com/2015-03-31/functions/arn:aws:lambda:us-east-

Method response body after transformations: {"city_str":"SEATTLE","temp_int":74}

WRITE YOUR OBSERVATIONS:

PASTE YOUR OUTPUT SCREEN HERE:

(For Evaluator’s use only)

Comment of the Evaluator (if Any) Evaluator’s Observation

Full Name of the Evaluator: