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7 matches found for 'cassandra'

Snowflake

Introduction Twitter's Snowflake is a ID generation scheme that tackles all of the requirements below: ID fits under 64 bits ID will be used with distribution in mind (horizontal scale SQL, Cassandra, etc.

January 20, 2021

Data stores in Software Architectures

Use Cases There are many ways to store your data. In this article we'll walk through some examples of data storage in common system designs. Reminder: There is no single best storage choice and they may vary heavily depending on things such as access patterns and scale.

July 19, 2021

Distributed scaling with Relational Databases

Background A lot of articles will talk about how to scale databases. Typically, they will talk about the purpose and the general idea of sharding and replication, but often times these topics are explained separately and not so much in conjunction.

January 19, 2022

Design Concepts

In this article, I want to go over some fundamental design concepts that are useful for coming up with system design. Requirements Functional Requirements Describes specific behaviors i.e. If a URL is generated, it is composed of a Base64 encoded alias Non-functional Requirements Describes architectural requirements i.

November 20, 2019

Scaling Instragram Infrastructure

Notes Sending notifications to a person whose photo you liked: RabbitMQ -> Celery Django / Python for web server / application PostgreSQL to store users, medias, friendships, etc. Master with multiple replicas, where reads happen on replicas (Master-Slave Replication) To deal with increased latency with writes, by batching requests wherever possible Replication lag from Master to slave replicas was not a big issue (for them) Cassandra NoSQL (wide column store) to store user feeds, activities, etc.

December 26, 2020

NoSQL - the Radical Databases

NoSQL NoSQL is a category of databases that aren't relational. For example, MySQL would be a relational database, where as MongoDB would be a NoSQL database. Back then, relational databases were the tried-and-true, prevalent and reliable data stores.

December 31, 2020

Big Data Processing: Batching vs. Streaming

Intro In data processing, we often have to work with large amounts of data. The way in which this data is gathered comes in a few variants: batching, where we aggregate a collection of data (e.g., by hourly time), streaming for data that needs to be processed in real-time, and a unified variant which simply does not distinguish the technical difference between batching and streaming, allowing you to programmatically use the same API for both.

January 3, 2022