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Secure, Scalable Data Pipelines with Terraform and GCP - A Real-World Industrial Use Case

HashiCorp via YouTube

Overview

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Learn how to architect and automate highly resilient data pipelines for industrial telemetry at scale using Terraform and Google Cloud Platform in this 15-minute conference talk. Discover practical insights from a real-world case study at Telus International, where millions of data points from IoT devices were ingested using GCP services like Pub/Sub, Dataflow, and BigQuery—all provisioned and secured via Terraform. Explore edge-to-cloud security strategies for telemetry ingestion, implement role-based access and GCP service account management through infrastructure-as-code, and integrate observability solutions with Datadog and custom alerting. Master techniques for managing infrastructure-as-code for analytics stacks, automating secret rotation with Vault, and optimizing costs through dynamic provisioning. Gain actionable patterns for version-controlling Terraform modules across development, test, and production environments while understanding the critical trade-offs between security and scale in cloud-native data platforms. Walk away with reusable Terraform modules and proven strategies for building secure, scalable data infrastructure in today's data-driven industrial landscape.

Syllabus

Secure, Scalable Data Pipelines with Terraform and GCP: A Real-World Industrial Use Case

Taught by

HashiCorp

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