The document discusses the evolution of computing from physical and virtual servers to serverless architecture, highlighting the benefits of increased scalability, agility, and reduced operational complexity. It provides insights on migrating to serverless solutions, including design and development strategies, with an emphasis on microservices, tools, and frameworks. Additionally, it includes cost comparisons between traditional and serverless deployments, illustrating potential savings for users.

1. Evolving Applications to
Serverless
25-April-2020
Ankit Sheth

2. I am Ankit Sheth
Founder, Datavizz
Hello!
@shethankkit

3. What is
serverless?
Build and run applications without
thinking about servers

4. Let’s look at the evolution of computing
Physical servers
in
data centers
Virtual
servers in
data centers
Virtual
servers in
the cloud

5. Each progressive step was better
Physical servers
data centers
Virtual servers
data centers
• Higher utilization
• Faster provisioning speed
• Improved uptime
• Disaster recovery
• Hardware independence
• Trade CAPEX for OPEX
• More scale
• Elastic resources
• Faster speed and agility
• Reduced maintenance
• Better availability and fault
tolerance
Virtual servers
in the cloud

6. But there are still limitations
Physical servers
data centers
Virtual servers
data centers
• Trade CAPEX for OPEX
• More scale
• Elastic resources
• Faster speed and agility
• Reduced maintenance
• Better availability and fault
tolerance
• Still need to administer
virtual servers
• Still need to manage
capacity and utilization
• Still need to size
workloads
• Still need to manage
availability, fault tolerance
• Still expensive to run
intermittent jobs
Virtual servers
in the cloud

7. Evolving
to serverless
SERVERLESS
Virtualservers
in the cloud
Physical servers
in data centers
Virtualservers
in data centers

8. Serverless changes how you deliver
Speeds
up time to
market
Dedicated
time to
innovation
Increases developer
productivity
Eliminates
operational complexity

9. Chatbots
• Powering
chatbot logic
• Alexa Skills for
Amazon Echo
Common use cases
Web applications
• Static
websites
• Dynamic
web apps
• Packages for
Flask and
Express
Backends
• Apps &
services
• Mobile
• IoT
</>
Media &
Log Processing
• Real-time data
• Streaming
data
Big Data
• MapReduce
• Batch

10. How to migrate
to serverless?

11. Monolith Applications

12. Monolith V/S Microservices
vs

13. Straightforward Migration?
Webserver
Data AccessService
App service
Visualization
Service
Lambda
function

14. How do we get there?
Deploy
Develop
Design

15. Visualization
Service
App Service
Database
Amazon
S3
Amazon
DynamoDB
AWS
Lambda
AmazonAPI
Gateway
• State?
• Compute?
• API?
• Storage?
• Security?
• Managed?
• Estimatedscale?
• Others
Where do we start? Design
Data Access
Service
Web Service

16. Rough Architecture - Design
Data stored
in Amazon
DynamoDB
Dynamic
content in
AWS Lambda
Amazon
API Gate
way
Browser
Amazon
CloudFront
Amazon
S3

17. Steps to Follow - Design
• Create a mind map of services
• Start with low risk, non-business critical modules
• Migrate incrementally to a newer stack with enough time for stability
• Services should have clear bounderies
• Every service should have its own data to work upon

18. How to Develop?
• How to manage codebase?
• Which tools to use?

19. How to manage codebase?
• Should I have one repo/ one service?
• Or should I have one repo for all my services?

20. How to start development?

23. Which tools/frameworks to use?

24. Steps to Follow - Develop
• Stick to the language you have in-house expertise upon
• Equip the developers with Microservices mindset
• Standardise the tools that you would be using for development
• Stick to one framework and evolve your expretise in it.
• Keep the functions simple and "Single-Purposed"

25. How to Deploy?

26. Aspects to cover
• Deployment Framework
• CI Tools
• Monitoring

27. Deployment Frameworks

28. CI Tools

29. Monitoring Tools

30. Tier Spec Monthly Cost
Load
Balancer
1x $18.30
Application
Server
1 X t2 micro $9.52
Database
Server
1 X t2 micro
100 GB
$23.95
Total Monthly $51.77
Tier Spec Monthly Cost
Load
Balancer
1x $18.30
Application
Server
2 X m4 large $121.18
Database
Server
2 X m4 large
100 GB
$198.93
Total Monthly $320.11
“DevelopmentGrade” Stack “Production Grade” Stack
What Does it cost now?

31. What Does it cost with
Serverless?
Assumption Unit
TotalPages/Day 10
Avg. Size of Page 200 kb
API
Requests/Page
5
Avg. Size of API
Req.
4 Kb
DB Ops Per Req 2 1r/1w
Storage (per
month)
500 kb
Tier Monthly Cost
Cloud Front Data Transfer 0.0051$
Cloud Front Request Pricing 0.0003
S3 Request Pricing 0.00102$
S3 DataTransfer 0.004345$
API GW DataTransfer 0.00054$
Lambda Request Pricing 0.0003
Lambda Duration Cost 0.000312
Dynamo DB IO Pricing 0
Dynamo DB Storage 0.000125
Total Monthly Cost/User $0.017282
Imagine the following daily customer
usage pattern:
Cost Per User/Month:

32. Thanks!
Any Questions?
You can find us at ahmedabad@serverlessdays.io