Conf42: Cloud Native 2022

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PostgreSQL Distributed & Secure Database Ecosystem Building

Trista Pan
CTO & Co-Founder @ SphereEx

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As the most popular open source relational database in the world, PostgreSQL keeps attracting the significant attention it deserves. With the ever increasing data storage and query requirements, new challenges are brought forward for horizontal elastic expansion and security of the PostgreSQL database.

How to provide existing PostgreSQL databases with incremental capabilities such as data sharding, data encryption and other functions is of great concern to many PostgreSQL users.

This will focus on introducing how to empower PostgreSQL thanks to the ecosystem provided by Apache ShardingSphere - an open source distributed database, plus an ecosystem users and developers need for their database to provide a customized and cloud-native experience.

ShardingSphere doesn’t quite fit into the usual industry mold of a simple distributed database middleware solution. ShardingSphere recreates the distributed pluggable system, enabling actual user implementation scenarios to thrive and contributing valuable solutions to the community and the database industry. The aim of ShardingSphere is the Database Plus concept.

Database Plus sets out to build a standard layer and an ecosystem layer above the fragmented database’s basic services. A unified and standardized database usage specification provides for upper-level applications, and the challenges faced by businesses due to underlying databases fragmentation get minimized as much as possible. To link databases and applications, it uses traffic and data rendering and parsing. It provides users with enhanced core features, such as a distributed database, data security, database gateway, and stress testing.

ShardingSphere uses a pluggable kernel architecture for Database Plus. That means there’s modularity, which provides flexibility for the user. Demos and notable use cases in production environments that are from the Asia equivalents of FAANG (Facebook, Amazon etc.) will be used to introduce the use and implementation of these functions for PostgreSQL databases.

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