Serverless Data Processing with Dataflow: Operations

About this course

In the last installment of the Dataflow course series, we will introduce the components of the Dataflow operational model. We will examine tools and techniques for troubleshooting and optimizing pipeline performance. We will then review testing, deployment, and reliability best practices for Dataflow pipelines. We will conclude with a review of Templates, which makes it easy to scale Dataflow pipelines to organizations with hundreds of users. These lessons will help ensure that your data platform is stable and resilient to unanticipated circumstances.

What you will learn

• Perform monitoring, troubleshooting, testing and CI/CD on Dataflow pipelines.
• Deploy Dataflow pipelines with reliability in mind to maximize stability for your data processing platform