The document discusses the growth of a company from 0 to 100 million users, focusing on the challenges and solutions related to database architecture and scaling. It highlights the transition from Postgres to MySQL and NoSQL databases like Cassandra, along with utilizing Amazon RDS and AWS Lambda for auto-scaling and serverless computing. Additionally, it emphasizes the importance of infrastructure as code for deployment and management efficiency.

1. Growing from 0
to 100 million
users
Andres Silva

2. Monolithic architecture

3. Decide which language is best for you!
Not all languages work the same way, and perhaps each approach specializes in certain
aspects.
Prototype.
Speed.
Mathematical Processes.
Access to database.
Processing of queues.
Synchronous.
Asynchronous.
RAM or CPU

6. Our first
million users

7. Bottleneck

8. Microservices

9. Uber
“Postgres worked well for us at the beginning, but we ran into
significant trouble scaling Postgres with our growth. Nowadays, we still
keep Postgres at some instances, but the chunk of our databases are
built on MySQL (typically using our Schemaless layer) or, in some
specific cases, NoSQL databases like Cassandra. Overall, we are
pretty happy with MySQL.”

10. Postgres

11. MySQL

12. Databases

13. Our case
36,000 Transactions per minute
52,000,000 Transactions per day
Microservice in Node js, with MYSQL

14. Our solution
Auto Scaling
Microservices
RDS
Http to Web Sockets

15. RDS
“ With Amazon Relational Database Service (Amazon RDS), it’s simple to configure, use
and scale a relational database in the cloud. It provides profitable capabilities of
customizable sizes and, at the same time, it manages the database’s tedious
administrative tasks, which allows for the focus to be placed on the app and the business.”

16. RDS

17. Protocols

18. Auto Scaling
“ Auto Scaling allows you to keep your app’s availability and automatically
increase or reduce Amazon’s EC2 capacity, based on the defined
conditions. You can use Auto Scaling to make sure that you are executing
the desired amount of Amazon EC2 instances. Auto Scaling can also
automatically increase the number of Amazon EC2 instances during
demand peaks, in order to maintain the performance and reduce capacity
during slower periods to minimize costs. ”

19. Auto Scaling

20. Our 10 million
users

21. Costs

22. Lambda
AWS Lambda allows you to run code without supplying or managing servers. You will
only pay for the computing time you use- there is no charge when the code is not running.
With Lambda, you can run code for almost any type of application or back-end service,
without having to manage a single thing. You only have to load the code. Lambda will
take care of everything you need to run and scale the code with high availability. You can
configure the code to activate automatically from other AWS services or do it directly from
any web or mobile application.

23. Major Prosecutions

24. Major Prosecutions

25. Micro Deploy

26. 50 million users and
we continue to
grow.

27. Infrastructure as Code
Define infrastructure as code to increase operator productivity and transparency.
COLLABORATE & SHARE
Terraform configuration can be stored in version control, shared, and
collaborated on by teams of operators.
EVOLVE YOUR INFRASTRUCTURE
Track the complete history of infrastructure versions.
AUTOMATION FRIENDLY
If it can be codified, it can be automated.

28. Application Load Balancer

29. Differences with elastic load balancer

30. Maintaining Quality at
Scale

31. Maintaining Quality at Scale

32. Micro Deploy

33. Real Cases

34. Netflix bandwidth usage
climbs to nearly 37% of
internet traffic at peak
hours.

36. Questions?