Design, Build, and Modernize Your Web Applications with AWS

© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Design, Build, and Modernize
Your Web Applications with
AWS
AWS Workshop Series
6 March 2018
Jakarta, Indonesia

Quick Introduction
Donnie Prakoso, MSc
AWS Technology Evangelist, ASEAN
@donnieprakoso
donnieprakoso
• Speak in Go and Python
• Machine Learning and Serverless
• I AWS User Groups

AWS User Group Indonesia
https://www.facebook.com/groups/awsindonesia/

Before We Start
• Take notes – a lot of it
• Ask our expert team
• Create a Qwik Labs account
• https://qwiklabs.com/

Agenda
Session 1
• Cloud Computing
• Why AWS?
• AWS Core Components
• Amazon EC2
• Use Cases
• Hands On
• Amazon VPC (Optional)

Agenda
Session 2
• Quick recap on Amazon EC2
• Amazon EC2 Auto Scaling
• Amazon Elastic Load Balancing
• Use Case
• Hands On Auto Scaling
• Hands On ELB

Agenda
Session 3
• AWS Lambda
• Demo
• Use Case
• Hands On
• Next Steps

Session 1
Starting your Cloud Journey
with AWS

WHAT IS CLOUD COMPUTING?
On-demand delivery of IT resources
via the Internet
with pay-as-you-go pricing

Indonesian Customers

WHY AWS?

Elasticity1

Elastic Capacity
• “Fork-lift”
uprades
• Cap Ex up front =
more risk
• Risk of
wasted
capacity
• Over-
provisioning
• Risk of
unavailability
• Under-
Provisioning
• Near 100%
utilization is
possible in the
cloud!

Cost Savings2

Cost Savings
Replace Costly IT budget with Utility model
Pay as you go, only for what you use
Prevent Overspending

Agility3

Increase Your Business Agility
Cloud-readiness: Fit the infrastructure to the app, or
fit the app to the infrastructure
Increase Test-Dev Opportunities
Take ideas to market faster

Breadth and Depth of Functionalities4

ENTERPRISE
APPS
DEVELOPMENT & OPERATIONSMOBILE SERVICESAPP SERVICESANALYTICS
Data
Warehousing
Hadoop/
Spark
Streaming Data
Collection
Machine
Learning
Elastic Search
Virtual
Desktops
Sharing &
Collaboration
Corporate
Email
Backup
Queuing &
Notifications
Workflow
Search
Email
Transcoding
One-click App
Deployment
Identity
Sync
Single Integrated
Console
Push
Notifications
DevOps Resource
Management
Application Lifecycle
Management
Containers
Triggers
Resource
Templates
TECHNICAL &
BUSINESS
SUPPORT
Account
Management
Support
Professional
Services
Training &
Certification
Security
& Pricing
Reports
Partner
Ecosystem
Solutions
Architects
MARKETPLACE
Business
Apps
Business
Intelligence
Databases
DevOps
Tools
NetworkingSecurity Storage
Regions
Availability
Zones
Points of
Presence
INFRASTRUCTURE
CORE SERVICES
Compute
VMs, Auto-scaling,
& Load Balancing
Storage
Object, Blocks,
Archival, Import/Export
Databases
Relational, NoSQL,
Caching, Migration
Networking
VPC, DX, DNS
CDN
Access
Control
Identity
Management
Key
Management
& Storage
Monitoring
& Logs
Assessment
and reporting
Resource &
Usage Auditing
SECURITY & COMPLIANCE
Configuration
Compliance
Web application
firewall
HYBRID
ARCHITECTURE
Data
Backups
Integrated
App
Deployments
Direct
Connect
Identity
Federation
Integrated
Resource
Management
Integrated
Networking
API
Gateway
IoT
Rules
Engine
Device
Shadows
Device
SDKs
Registry
Device
Gateway
Streaming Data
Analysis
Business
Intelligence
Mobile
Analytics

516
24 48
6
1
82
159
280
722
1,01
7
LAUNCHES
2 0 0 8 2 0 0 9 2 0 1 0 2 0 1 1 2 0 1 2 2 0 1 3 2 0 1 4 2 0 1 5 2 0 1 6
1,300+
2 0 1 7
P A C E O F
I N N O V A T I O N
New capabilities daily

Shared Responsibility
Model

Go global in a minute5

AW S
REGIONAL
EXPANSION
18 Regions 53 AZs, 100+ edge

STATE OF THE CLOUD
44.1%
7.7%
3.0
%
2.3%
1.0%
1.4%
0.7%
2.2%
0.5%
0.9%

1
2
3
4
5
Agility
Cost Savings
Breadth and Depth of Functionalities
Elasticity
Go global in a minute

Because time is valuable

© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
By using AWS, Kumparan saves up to 30% on implementation
costs, compared to running an on-premise infrastructure. With
increased availability and close to zero downtime, we can focus on
our application delivery instead.
Autoscaling lets Kumparan deliver reliable services, even with up to
3X spike in traffic.
Using AWS allowed Kumparan to shorten time to market. It took
three months from web development to go ’live’, instead of six
months based on previous experience they had.
30%
Cost Saving
300%
Traffic
50%
Go To Market

© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
AWS Core Components

AWS Core Components
Amazon
EC2
Auto
Scaling
• Elastic Compute Cloud
• Allow users to use virtual machines per their
requirement
• Configuration options to scale up and down
• On demand compute power
• Allows to scale Amazon EC2 instance up and
down automatically per instructions set by user
• Effective for applications that fluctuate on hourly,
daily or weekly usage
• Conditions can be based off of traffic schedule

AWS Core Components
Elastic
Load
Balancing
• Automatically distributes
incoming traffic across multiple
EC2 in multiple availability
zones
• Serves as a single point of
contact for clients, which
increases the availability of the
application
Amazon
S3
• Scalable, high-speed, low cost,
web based service for online
backup and archiving of data
and application program
• Allows to upload, store
download any type of files up
to 5GB in size
CloudFront
• CloudFront is a CDN. It retrieves data from Amazon S3 bucket and distribute it
to multiple data center locations
• It delivers data through a network of data centers called edge locations
• The nearest edge location routed when user requests fro data, resulting in
lowest latency, low network traffic, fast access to data

Amazon
Route 53
Amazon
RDS
AWS Core Components
• Highly available and scalable Domain Name
System (DNS) web service.
• Designed for developers and corporates to
route the end users to internet application
• Connects user requests to infrastructure
running in AWS – such as Amazon EC2
instances, Elastic Load Balancing load
balancers, or Amazon S3 buckets
• Fully managed SQL database cloud service
• Allows to create and operate relational
database
• Using RDS to access files and database
anywhere in cost effective and highly scalable
way

AWS Compute offerings
AWS Lambda
Serverless compute
platform for stateless
code execution in
response to triggers
Amazon
ECS&EKS
Container management
service for running
Docker & Kubernetes on
a managed cluster of
EC2 instances
Amazon
EC2
Virtual servers
in the cloud

Compute Offerings
• 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
Amazon ECS
Amazon EC2
AWS Lambda

How do I choose?
• VMs
• “I want to configure machines,
storage, networking, and my OS”
• Containers
• “I want to run servers, configure
applications, and control scaling”
• Serverless
• “Run my code when it’s needed”
ECS
EC2
Lambda

What is EC2?
aws ec2 run-instances
--image-id ami-a10897d6
--instance-type c4.8xlarge
--count 1000
--security-group-ids sg-0ba94d6e
--key-name MyKeyPair

Host Server
Hypervisor
Guest 1 Guest 2 Guest n
Amazon EC2 Instances
Instancegeneration
c4.large
Instancefamily Instancesize

Instance sizing
c4.8xlarge 2 - c4.4xlarge
≈
4 - c4.2xlarge
≈
8 - c4.xlarge
≈

EC2 Terminology
AMI
Virtual Machine
Configuration
Instance
Running or
Stopped VM
VPC
AZ Availability Zone
Amazon S3
EBS EBS EBS
VPC
EBS EBS EBS
EBS
Snapshots
S3 Buckets
Region

EC2 Instance Families
Compute Optimized: C family
• Lowest price for compute performance
Memory Optimized: R and X families
• Lowest price per GiB of RAM
Storage optimized: I and D families
• Best value for IO performance or per GB instance storage
General purpose: M and T families
• Balance of compute, memory, and network resources
Accelerated Computing: F, G and P families
• Ideal for graphics and general purpose GPU compute applications

EC2 Security Groups
Security Group Rules
• Name
• Description
• Protocol
• Port range
• IP address, IP range,
Security Group name

On-Demand
Pay for compute
capacity by the hour
with no long-term
commitments
For spiky workloads,
or to define needs
Reserved
Make a low, one-
time payment and
receive a significant
discount on the
hourly charge
For committed
utilization
Spot
Bid for unused
capacity, charged at a
Spot Price which
fluctuates based on
supply and demand
For time-insensitive
or transient
workloads
Dedicated
Launch instances
within Amazon VPC
that run on hardware
dedicated to a single
customer
For BYOL and highly
sensitive/regulated
workloads
Use a purchasing option (mix) that best fits your workload

EC2 On-Demand Pricing
Short-term, Spiky and
unpredictable
Low cost and
flexible
Develop and test

EC2 Reserved Pricing
Upfront payments to
reduce costs
Steady State Reserved Capacity

Reserved Instance details
Options
No upfront
Partial upfront
All upfront
Commitment Level
1 Year
3 Year
RI Marketplace
* Dependent on specific AWS Service, size/type and Region

EC2 Spot Pricing
Users with urgent
computing needs or
large amounts of
additional capacity
Time or instance
flexible
Experiment and/or
build cost sensitive
businesses

Spot Instance details
Options
• Spot fleet to maintain Instance
Availability
• Spot block durations (1-6
hours) for workloads that must
run continuously
Commitment level
• None
* Compared to On Demand price based on specific EC2 instance type, region and availability zone

Spot Rules
Markets where the price of compute changes based on supply and
demand
You’ll never pay more than your bid.
50% Bid
of OD
75% Bid
of OD
25%
Bid
of ODYou pay the
market price
87% discount!

“By using AWS Spot instances, we've been able to save 75% a month
simply by changing four lines of code. It makes perfect sense for saving
money when you're running continuous integration workloads or
pipeline processing.”
Matthew Leventi, Lead Engineer, Lyft
Why use Spot – customer examples

Use a Combination of All Three!
1. Use Reserved Instances for
known/steady-state workloads
2. Set-up multiple Scaling groups
3. Scale using Spot, On-Demand or
both
0
2
4
6
8
10
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
/Spot
On Demand
Spot
Reserved Instance

Amazon VPC

VPC
AZ Availability Zone
Amazon S3
EBS EBS EBS
VPC
EBS EBS EBS
EBS
Snapshots
S3 Buckets
Region
• Amazon VPC is the networking layer
for Amazon EC2
• Virtual Private Cloud (VPC) is a
virtual network dedicated to your
AWS account
• Isolated with other virtual networks
• Public subnet or private subnet

Build secure architectures
Use VPC - Provision a logically isolated section of the AWS cloud
Control your virtual networking environment with:
• Subnets
• Route tables
• Security groups
• Network ACLs
• Flow logging (new!)
Control if and how your instances access the Internet
Connect to your on-premises network via a hardware VPN or AWS Direct Connect
Monitor all changes via Amazon CloudWatch Logs and AWS CloudTrail

Availability Zone 1a Availability Zone 1b
Internet
10.0.0.5
10.0.0.6
10.0.3.17
10.0.3.5
10.0.1.5
10.0.1.25
10.0.1.8
10.0.1.6
VPC Subnet
VPC Subnet
VPC Subnet
Virtual Private Gateway
Customer Gateway
VPN Connection
Internet Gateway
Customer Data Center

Notes
Classroom Environment URL
https://qwiklabs.com/ilt/classrooms/15039
Upon log in, click on the
Catalog link in the top left-
hand corner of the screen

Hands On – Amazon EC2

Session 2
Dynamically Scale Web
Applications with Amazon EC2
Auto Scaling

0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
Serverload
Hour of day

0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
Serverload
Hour of day
Capacity of 1 server

0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
Serverload
Hour of day
Traditional capacity required

0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
Serverload
Hour of day
1 server for 8 hours

0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
Serverload
Hour of day
1 server for 8 hours 1 server for 8 hours

0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
Serverload
Hour of day

0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
Serverload
Hour of day
1/3rd
saving

0
1
2
3
4
5
6
0 2 4 6 8 10 12 14 16 18 20 22 24 26 28 30
Instancecount
Day of month

0
1
2
3
4
5
6
0 2 4 6 8 10 12 14 16 18 20 22 24 26 28 30
Instancecount
Day of month
Monthly
predictable
peak
processing

0
1
2
3
4
5
6
0 2 4 6 8 10 12 14 16 18 20 22 24 26 28 30
Instancecount
Day of month

0
1
2
3
4
5
6
0 2 4 6 8 10 12 14 16 18 20 22 24 26 28 30
Instancecount
Day of month
Elastic capacity

0
1
2
3
4
5
6
0 2 4 6 8 10 12 14 16 18 20 22 24 26 28 30
Instancecount
Day of month
75% savings
Elastic capacity

Example: 3-tier web application architecture

Scalable Web Apps
A very popular use-case for AWS services
Applications with growing, variable or cyclical demand fit AWS well
Elasticity and automation can be exercised to real advantage
AWS services allow you to accelerate application development

Compute & Networking
Autoscaling
Automatic re-sizing of compute clusters based
upon demand.
Trigger auto-
scaling policy
Feature Details
Control Define minimum and maximum instance pool sizes
and when scaling and cool down occurs
Integrated to
CloudWatch
Use metrics gathered by CloudWatch to drive
scaling
Instance types Run auto scaling for on-demand instances and spot.
Compatible with VPC
Actual
EC2
72
Databas
e
Analytic
s
AWS Global Infrastructure
Mobile
Services
Application Services
Security &
Identity
Compute
Managemen
t Tools
Developer
Tools
Networkin
g
Storage &
Content
Distribution
Application
s
IoT

Compute & Networking
Elastic Load Balancing
Create highly scalable applications.
Distribute load across EC2 instances in multiple availability zones.
Feature Details
Auto-scaling Automatically scales to handle request volume
Available Load balance across instances in multiple
availability zones
Health checks Automatically checks health of instances and
takes them in or out of service
Session stickiness Route requests to the same instance
Secure sockets layer Supports SSL offload from web and application
servers with flexible cipher support
Monitoring Publishes metrics to Cloud Watch
73
Databas
e
Analytic
s
AWS Global Infrastructure
Mobile
Services
Application Services
Security &
Identity
Compute
Managemen
t Tools
Developer
Tools
Networkin
g
Storage &
Content
Distribution
Application
s
IoT

WHY AWS FOR SCALABLE
WEB APPLICATIONS?

Websites & Digital Transformation

BEING IN THE CLOUD
GIVES
US THE
SCALABILITY
OF ADDING
APPLICATION
AND DATABASE
SERVERS
AS WE NEED
THEM.
Keith Mitchell
Programmer
reddit.com
• reddit is a San Francisco, CA company that provides
reddit.com, a social news and entertainment website where
users can submit and rank ideas, images, and links
• reddit originally operated reddit.com on physical servers, but
after the number of users quadrupled in 18 months, the
company realized it couldn’t scale with an on-premises
environment
• By migrating to AWS, reddit can scale to manage 4 billion
page views per month and run its website with only 20
employees
With AWS, reddit scales its social news site to handle 4 billion
page views per month with only 20 employees
Find out more here : aws.amazon.com/solutions/case-studies/reddit/

Pick your platform
Use your favourite tools
Grow & shrink capacity to match demand
Spend your money on what matters
Take your app or site global in minutes
Never make your customers wait

RULE BOOK FOR SCALABLE WEB
APPLICATIONS ON AWS

Service all requests
Service requests as fast as possible
Handle requests at any volume
Simply your architecture
Automate operations & management
Use the unique properties of the cloud

Service all requests1
DNS APPLICATION DATA

DNS APPLICATION DATAREQUEST

DNS APPLICATION DATAREQUEST ╳

100%
Availability
SLA
aws.amazon.com/route53/sla
Global Delivered from AWS global edge locations for fast
and reliable domain name resolution
Scalable Automatically scales based upon query volumes
Latency based
routing
Supports resolution of endpoints based upon
latency, enabling multi-region application delivery
Integrated Integrates with other AWS services allowing Route
53 to front elastic load balancers, S3 and EC2
Secure Integrates with IAM giving fine grained control over
DNS record access

1
Region
Region
Elastic
Load
Balancer
Elastic
Load
Balancer
Availability Zone
Availability Zone
Availability Zone
Availability Zone
Elastic load balancing
Multi-availability zone
Multi-region

1
Region
Region
Elastic
Load
Balancer
Elastic
Load
Balancer
Availability Zone
Availability Zone
Availability Zone
Availability Zone
Amazon
DynamoDB
Amazon
DynamoDB

Service requests as fast as possible2

1) Chose the ‘closest’ endpoint
2
REQUEST
Amazon
Route 53
Region A Region B

2
REQUEST
Amazon
Route 53
Region A Region B
16ms 92ms

2
Amazon
Route 53
Region A Region B
16ms
REGION A DNS ENTRY
REQUEST

2) Offload your application servers
2
London
Paris
NY
Served from S3
/images/*
3
Served from EC2
*.php
2
Single CNAME
www.mysite.com
1
Amazon CloudFront
Content delivery web service
Integrates with other Amazon Web Services
Products
Easily distribute content to end users with
low latency, high data transfer speeds, and
no minimum usage commitments
aws.amazon.com/cloudfront

2
Without Amazon CloudFront
EC2 Instances running web and application
servers are loaded with user requests for content
assets

2
With Amazon CloudFront
A significant proportion of the load from user
requests is handled by Amazon CloudFront and
the EC2 cluster can be scaled down
Offload
Scale
Down

2
Offload
Scale
Down
ResponseTime
ServerLoad
ResponseTime
ServerLoad
ResponseTime
Server
Load
No CDN CDN for
Static
Content
CDN for
Static &
Dynamic
Content

3) Cache it if you can
2
Amazon ElastiCache
A web service that makes it easy to deploy,
operate, and scale an in-memory cache
Allows you to retrieve information from fast,
managed, in-memory caches, instead of
relying entirely on slower disk-based
databases
Supports two open-source in memory
caching engines: Memcached & Redis

4) Single digit latencies where it matters
2
DatabaseQueryPerformance
Desired consistency & predictability
Scale

2
Scale
Actual performance
degrades with scale

Scale
Actual performance
degrades with scale
Filling this gap requires:
Database sharding
Data caching
Provisioning
Cluster management
Fault management
2

Amazon DynamoDB Query Performance
Scale
Relational Database
Query Performance
Amazon
DynamoDB
2

Amazon
DynamoDB
Amazon DynamoDB
A fast and flexible NoSQL database service
Consistent, single-digit millisecond latency at
any scale
Fully managed
Supports both document & key-value store
models
aws.amazon.com/dynamodb
2
aws.amazon.com/solutions/case-studies/adroll/

3 Handle requests at any volume & scale
1) Scale up
Basic unit of compute capacity
Broad range of CPU, memory & local disk options
7 families available, from micro to compute, memory & storage optimized
Scale up with Elastic Compute Cloud (EC2)

2) Scale out
Trigger auto-
scaling policy
Auto Scaling
Amazon EC2 Auto
Scaling
Allows you to scale your EC2 capacity up or
down automatically according to conditions
that you define
Increase the number of Amazon EC2
instances during demand spikes to maintain
performance & decrease capacity during lulls

3
Manually
Send an API call or use CLI to
launch/terminate instances – Only
need to specify capacity change (+/-)
By Schedule
Scale up/down based on date and time
By Policy
Scale in response to changing
conditions, based on user configured
real-time monitoring and alerts
Auto-Rebalance
Instances are automatically
launched/terminated to ensure the
application is balanced across multiple
Azs
Handle requests at any volume & scale
2) Scale out

3
Manually
By Schedule
By Policy
Auto-Rebalance
Azs
Preemptive manual scaling of
capacity
Adding 10 more instances before a
marketing event
2) Scale out

3
Manually
By Schedule
By Policy
Auto-Rebalance
Azs
capacity
marketing event
Regular scaling up & down of
instances
Scaling from 0 to 2 to process SQS
messages every night or doubling
capacity on a Friday night
2) Scale out

3
Manually
By Schedule
By Policy
Auto-Rebalance
Azs
capacity
marketing event
instances
Dynamic scaling based on
custom metrics
Scaling on SQS queue depth, average
CPU load or ELB latency
2) Scale out

3
Manually
By Schedule
By Policy
Auto-Rebalance
Azs
capacity
marketing event
instances
Dynamic scaling based on
custom metrics
Scaling on SQS queue depth, average
CPU load or ELB latency
Maintaining capacity across
availability zones
Instance availability is maintained in
the event of AZ becoming unavailable
2) Scale out

3) Dial up throughout
Elastic Block Store
Provisioned IOPS up to 20,000
per EBS volume
Predictable performance for
demanding workloads such as
databases
DynamoDB
Provisioned read/write
performance per table
Predictable high performance
scaled via console or API
https://aws.amazon.com/blogs/aws/auto-scale-
dynamodb-with-dynamic-dynamodb/

4 Simplify your architecture with services
Relational Database Service
Database-as-a-Service
No need to install or manage database instances
Scalable and fault tolerant configurations
DynamoDB
Provisioned throughput NoSQL database
Fast, predictable performance
Fully distributed, fault tolerant architecture
Use RDS for relational
databases such as
MySQL or Oracle
Use DynamoDB as high
performance document
or key-value database

4 Simplify your architecture with services
Amazon SQS
Reliable, highly scalable, queue
service for storing messages as they
travel between instances
Reliable message
queuing without
additional software
Elastic MapReduce
Elastic Hadoop cluster
Integrates with S3 & DynamoDB
Leverage Hive & Pig analytics scripts
Integrates with instance types such as
spot
Process large volumes of
data cost effectively with
Amazon EMR
Amazon SQS
Processing
task/processing
trigger
Processing results

5
Access everything via
CLI, API or Console
Achieve the highest levels of
automation with ease
Find out more at: aws.amazon.com/developers/getting-started/
Automate operations & management
1) Everything is programmable

5 Automate operations & management
2) Think immutable, one click-deployments
AWS CloudFormation
An easy way to create & manage a collection of
related AWS resources, called a ‘stack’
Automate creation of ‘stacks’ in a repeatable way
Version control your infrastructure as you do your
software
Feature Details
Platform support Support for AWS resources from EC2 to IAM
Resource creation Creates AWS resources behind the scenes and reports
on progress
Declarative Specify stacks in JSON format and source control your
environments
Customizable Drive stack creation with paramaters

5 Automate operations & management
3) Design for availability, implement self healing
Customize instance startup
Get instances to ask ‘who am I?’
question on startup and be
configured dynamically upon being
answered
Maintain capacity of
instances
Using a minimum pool size
will maintain capacity in the
event of instance failures
Know what’s going on, take
automated actions
Use CloudWatch standard and
custom metrics to create alarms.
Respond with automated
administration actions
Bootstrapping Auto-scaling CloudWatch

6 Use the unique properties of the cloud
1) Optimize costs with different instance types
Choose an instance
that best meets your basic
requirements
Start with memory & then
choose closest virtual cores
Assess peak IOPS storage
requirements
Deploy & run multiple instances
in multiple Availability Zones
Change instance size up or
down based upon monitoring
Use CloudWatch & Trusted
Advisor to assess
Start Deploy & ScaleTune

6 Use the unique properties of the cloud
1) Optimize costs with different instance types
00:00 01:00 02:00 03:00 04:00 05:00 06:00 07:00 08:00 09:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00
100%
75%
58%
38%
13%
8%On Demand Instance
Reserved Instance

Hands On – Auto Scaling

Hands On – Elastic Load
Balancer

Session 3
Go Serverless! Modernize Your
Applications with AWS Lambda

Lambda – Serverless code
execution?

High performance at any scale;
Cost-effective and efficient
No Infrastructure to manage
Pay only for what you use: Lambda
automatically matches capacity to
your request rate. Purchase
compute in 100ms increments.
Bring Your Own Code
Stateless, trigger-based code execution
Run code in a choice of standard
languages. Use threads, processes,
files, and shell scripts normally.
Focus on business logic, not
infrastructure. You upload code; AWS
Lambda handles everything else.
AWS Lambda Functions

Lambda – Why use it?

No Server is Easier to Manage
Than No Server

Architect to be Serverless
Fully managed
• No provisioning
• Zero administration
• High availability
Developer productivity
• Focus on the code that
matters
• Innovate rapidly
• Reduce time to market
Continuous scaling
• Automatically
• Scale up and scale down

Components of Lambda
• A Lambda function (that you write)
• An event source
• The AWS Lambda service
• The function networking environment

Event Sources
• When should your function
execute?
• Many AWS services can be
an event source today:
• Amazon S3
• Amazon Kinesis
• Amazon SNS
• Amazon DynamoDB
• Amazon CloudWatch
• AWS Config Rules
• Amazon Echo
• Etc.
• …and Amazon API
Gateway (more later)

What’s Unique About Lambda?
Abstraction at the code/function level (arbitrary, flexible,
familiar)
The security model (IAM, VPC)
The pricing model
The community
Integration with the AWS service ecosystem!
• Scale
• Triggers

Lambda – How do I use it?

Key Lambda scenarios
Data processing
Stateless processing of
discrete or streaming
updates to your data-
store or message bus
Control systems
Customize responses
and response workflows
to state and data
changes within AWS
App backend
development
Execute server side
backend logic in a cross
platform fashion

Amazon API Gateway: Serverless APIs
Internet
Mobile
apps
Websites
Partner
Services
AWS Lambda
functions
API
Gateway
response
cache
Endpoints on
Amazon EC2
Any publicly
accessible
endpoint
Amazon
CloudWatch
Amazon
CloudFront
API
Gateway

Serverless Website
AWS Lambda
function
web browser
Amazon S3
Dynamic content
Amazon API
Gateway
Static content
Amazon
DynamoDB

AWS Lambda use case – Data processing

Hands On – AWS Lambda

Your
Business
70%
Infrastructure
that you own
& operate
30%
Managing All of the
“Undifferentiated Heavy Lifting”
Simplify your architecture with AWS

Your
Business
70%
Infrastructure
that you own
& operate
30%
Managing All of the
“Undifferentiated Heavy Lifting”
AWS
Cloud-Based
Infrastructure
More Time to Focus on
Your Business
Configuring Your
Cloud Services
30%70%
Simplify your architecture with AWS

AWS Activate | Builders
Benefits
• $1,000 AWS Promotional Credit, valid up to 2 years
• AWS Business Essentials Online Training ($600 value)
• AWS Technical Essentials Online Training ($600 value)
• 80 credits for self-paced labs ($80 value)
http://bit.ly/AWSActivateBuilders

Another View
of
Shifting Perspective

Builders
Data scientist
CEO
Web Developer
Dev Ops

People who are building for
tomorrow
Builders

Thank you!
For being a builder.

Design, Build, and Modernize Your Web Applications with AWS

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