Inside Operator Day: Mastering software operators for Data and AI

Canonical

Jan 5, 2024

Welcome to this deep-dive series of Operator Day, where we highlight exclusive sessions from the most recent Operator Day for anyone interested in software operators and automating software operations.

We will explore the intricacies of three powerful tools in the Data & AI open source world - PostgreSQL, Apache Spark, and Kubeflow. If you're a technical enthusiast, database administrator, or cloud architect, this session is tailored just for you. Charmed PostgreSQL: Mastering High Availability
PostgreSQL, a stalwart in the open source database world, plays a pivotal role in online transaction processing and analytics. However, the challenge lies in deploying and maintaining a highly available, resilient PostgreSQL setup. Our database team has crafted Charmed PostgreSQL, a set of software operators for database administrators. These operators seamlessly handle the scaling , maintenance, and upgrades of your servers across both private and public clouds. In this presentation, you can witness how the charms for PostgreSQL simplify complex operations, providing you with the tools to operate with precision. Charmed Spark: the Power of Apache Spark on Kubernetes
The Charmed Spark solution is a simple key to unlocking distributed data processing workloads on Kubernetes. Join us in this session as we delve into the intricacies of Charmed Spark, demonstrating how software operators streamline the setup and operation of large-scale applications, ensuring optimal performance for your AI workloads. Charmed Kubeflow: Navigating Complex Setups and Operational Tasks for MLOps
Running AI at scale involves constructing large applications comprised of smaller, interconnected services. The intricacies of setup and the multitude of operational tasks required for optimal performance can be daunting. In this segment, we simply show how getting started looks like with the bare Kubeflow distribution and then show how the first steps look so much better with the Charms for Kubeflow.

🔗 Resources:
Learn more about PostgreSQL Charm
https://canonical.com/data/docs/postgresql/iaas
Dive into Charmed Spark
https://canonical.com/data/spark
Explore MLOps Charms
https://ubuntu.com/ai

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