In this talk we will cover: 1. Using concurrency to maximize hardware (Elixir, Clojure, Haskell) 2. Serverless technologies for backend architecture (Amazon AWS Lambda, Microsoft Azure Cloud Functions) 3. BaaS – Backend as a Service (Google Firebase, etc)

1. The Future of Cloud
Programming
Is Serverless and Concurrent

2. What’s this all
about?
Concurrent Programming
Erlang, Java
Go, Elixir, Scala
Serverless Architecture
AWS Lambda
Azure Cloud Functions
Backend as a Service (Baas)
Google Firebase

3. Concurrency
Doing a lot of things at once

4. The Basics
● Utilize multi-core systems
● Scale across multiple servers
● Low latency

5. Complications
● Hard to develop
● Hard to debug
● Different mindset
● Fewer developers

6. Benefits of
Functional
Programming
● Super Fast
● Fewer Bugs
● Easy to Test
● Concurrent by Default

7. 2 Million Websocket Connections
On a SINGLE SERVER

8. The Future
● Better Languages
○ Elixir
○ Clojure
○ Scala
○ Go
● Strong VMs
○ JVM
○ Erlang VM
● More prolific

9. Serverless
Functions as a Service (FaaS)

10. How it Works
● No Servers *
● Host provides resources
● Resources are on demand
● Function is executed

11. Advantages
● Scalability
● Cost
● Programming Model
● Deployment Process
● Reliability
● Throughput

12. MLB
Statcast
30 JSON docs / second / game
~1k - 50k / JSON

13. Disadvantages
● Limited resources
● Short execution time
● Hard to debug
● Slow when unused
● Hard to monitor
● Hard to replicate

14. Serverless
Providers

15. Serverless
Frameworks

16. BaaS
“Backend as a Service”
- or -
“How to stop worrying and love the cloud”

17. How it Works MAGIC!

18. Google someone
hosts and maintains a
centralized database
How it Works

19. Advantages
● Centralized DB
● Near Real Time
● Updated by Multiple Users
● Cross Platform API
● Hosting Included (required)

20. Disadvantages
● Centralized DB
● Hosting Included (required)
● May be overkill
● Expensive at scale
● Not SQL (JSON)

21. Alternatives
to Firebase

22. Review
Concurrency
● Functional
Programming
● Low Latency
● High Scale
● Maximize
Resources
Serverless
● High Throughput
● Low Cost
● High Scale
● Frequent small
tasks
BaaS
● Rapid Development
● Prototyping
● Near Real Time
● Central DB
● Frequent Updates

23. Jason Straughan
@JDStraughan
Grok Interactive
@GrokInteractive
www.GrokSA.com