AWS Developers | Start building with PL/Rust in Amazon RDS for PostgreSQL - AWS Databases in 15 @awsdevelopers | Uploaded 1 year ago | Updated 1 hour ago
Rust combines the performance and resource efficiency of compiled languages like C with mechanisms that limit the risks from unsafe memory use. As a PostgreSQL trusted procedural language, PL/Rust provides memory safety so that an unprivileged user can run code in the database without the risk of crashing the database due to a software defect that corrupts memory. Developers can also package PL/Rust code as Trusted Language Extensions (TLE) for PostgreSQL to run on Amazon RDS. RDS for PostgreSQL customers can now use Rust to build high performance user defined functions to extend PostgreSQL for compute-intensive data processing.
In this session, we will provide a brief introduction to Rust, walk you through how to deploy RDS for PostgreSQL with PL/Rust enabled, and show you how to write high-performance Rust code directly to your database.
Learning Objectives:
* Objective 1: Get a brief introduction to PL/Rust.
* Objective 2: Learn how to deploy a RDS for PostgreSQL database instance with Rust enabled.
* Objective 3: See how you can write high-performance Rust code directly to your database, including an example of using Rust with TLE.
***To learn more about the services featured in this talk, please visit: aws.amazon.com/rds/postgresql
****To download a copy of the slide deck from this webinar visit: pages.awscloud.com/Start-building-with-PL-Rust-in-Amazon-RDS-for-PostgreSQL_2023_SN-0817-DAT_OD Subscribe to AWS Online Tech Talks On AWS:
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☁️ AWS Online Tech Talks cover a wide range of topics and expertise levels through technical deep dives, demos, customer examples, and live Q&A with AWS experts. Builders can choose from bite-sized 15-minute sessions, insightful fireside chats, immersive virtual workshops, interactive office hours, or watch on-demand tech talks at your own pace. Join us to fuel your learning journey with AWS.
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Rust combines the performance and resource efficiency of compiled languages like C with mechanisms that limit the risks from unsafe memory use. As a PostgreSQL trusted procedural language, PL/Rust provides memory safety so that an unprivileged user can run code in the database without the risk of crashing the database due to a software defect that corrupts memory. Developers can also package PL/Rust code as Trusted Language Extensions (TLE) for PostgreSQL to run on Amazon RDS. RDS for PostgreSQL customers can now use Rust to build high performance user defined functions to extend PostgreSQL for compute-intensive data processing.
In this session, we will provide a brief introduction to Rust, walk you through how to deploy RDS for PostgreSQL with PL/Rust enabled, and show you how to write high-performance Rust code directly to your database.
Learning Objectives:
* Objective 1: Get a brief introduction to PL/Rust.
* Objective 2: Learn how to deploy a RDS for PostgreSQL database instance with Rust enabled.
* Objective 3: See how you can write high-performance Rust code directly to your database, including an example of using Rust with TLE.
***To learn more about the services featured in this talk, please visit: aws.amazon.com/rds/postgresql
****To download a copy of the slide deck from this webinar visit: pages.awscloud.com/Start-building-with-PL-Rust-in-Amazon-RDS-for-PostgreSQL_2023_SN-0817-DAT_OD Subscribe to AWS Online Tech Talks On AWS:
youtube.com/@AWSOnlineTechTalks?sub_confirmation=1
Follow Amazon Web Services:
Official Website: aws.amazon.com/what-is-aws
Twitch: twitch.tv/aws
Twitter: twitter.com/awsdevelopers
Facebook: facebook.com/amazonwebservices
Instagram: instagram.com/amazonwebservices
☁️ AWS Online Tech Talks cover a wide range of topics and expertise levels through technical deep dives, demos, customer examples, and live Q&A with AWS experts. Builders can choose from bite-sized 15-minute sessions, insightful fireside chats, immersive virtual workshops, interactive office hours, or watch on-demand tech talks at your own pace. Join us to fuel your learning journey with AWS.
#AWS
