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Building Financial Systems on Eventually Consistent DBs

Strange Loop Conference via YouTube

Overview

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This course aims to teach learners how to build financial systems on eventually consistent databases. The learning outcomes include understanding the challenges of operating financial systems at scale, implementing lightweight transactions in Cassandra, optimizing update consistency with optimistic locking, and balancing availability with consistency in multi-region setups. The course covers topics such as single-master databases, read replicas, slave promotion, fault tolerance in Cassandra, insert consistency, and minimizing inconsistencies. The intended audience for this course is software engineers, database administrators, and developers interested in building scalable and available financial systems on distributed databases. The teaching method involves a lecture-style presentation with a focus on real-world examples and practical solutions.

Syllabus

Intro
Billing Engineering
Netflix operates out of multiple AWS regions to ensure availability
Single Master Single Point of Failure
Read replicas
Slave Promotion
We needed something better...
But it's not perfect, especially for a financial system
So how do you build a financial system on top of it?
Lightweight Transactions in Cassandra
Update Consistency With Optimistic Locking
Two Scenarios
With Cassandra, last write wins
How does Cassandra achieve fault tolerance?
Local Quorum vs Each Quorum
Insert Consistency
Some things to consider
Minimizing inconsistencies
Building a financial system on top of Cassandra
Our object model needed relations
We built a poor man's relational schema
Understand performance implications before using collection types
Querying across rows
Recap

Taught by

Strange Loop Conference

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