In this session, I will walk through real-world DevOps and data engineering use cases implemented on Google Cloud using Kubernetes (GKE), BigQuery, and various native tools.

We’ll start by demonstrating how DBT workflows can be automated on GCP using GKE and BigQuery, enabling scalable and auditable transformations for data teams.

Next, we’ll shift to DevOps automation by showcasing a case study where we implemented automatic GCP health checks and alerting mechanisms for service resilience.

Finally, the session will cover security and networking in Kubernetes environments. This includes a walkthrough of how to implement Kubernetes Network Policies to enforce pod-level security and traffic controls.

Whether you’re a DevOps engineer, data engineer, or cloud architect, this session will provide actionable insights into building secure, automated, and production-ready workflows on GCP.