Serverless Data Processing with Dataflow: Operations

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

• Perform monitoring and troubleshooting of Dataflow pipelines
• Test and deploy pipelines ensuring reliability
• Optimize pipeline performance for stability
• Scale pipelines efficiently using Dataflow templates
• Apply disaster recovery best practices

• Prior hands-on experience with core Dataflow concepts
• Ability to apply tools and methods independently