Dive deep into the technical underpinnings of FinOps and gain the expertise to optimize your cloud spending and drive business value. This comprehensive course is designed for cloud architects, engineers, and technical professionals seeking to master the tools, technologies, and strategies that empower effective cloud financial management.

What you'll learn

• Understand the core principles of FinOps and how it bridges the gap between technology and finance in the cloud.
• Explore proven techniques to identify cost inefficiencies, optimize resource utilization, and achieve significant savings.
• Utilize advanced monitoring tools and data-driven insights to track spending patterns, forecast costs, and make informed decisions.
• Implement effective cost allocation models to accurately attribute cloud expenses to specific teams or projects.
• Leverage IaC to automate cost management processes, enforce spending policies, and ensure consistent financial governance.
• Use industry-leading FinOps platforms and tools to gain comprehensive visibility into your cloud spending and optimize resource usage.
• Apply your knowledge to real-world scenarios through hands-on exercises and case studies.
• Foster a culture of cost awareness and accountability within your organization.

Who this course is for

Customers

Prerequisite

Knowledge of Google Cloud infrastructure as discussed in Google Cloud Fundamentals: Core Infrastructure

Course Modules

Foundations of FinOps on Google Cloud

• Financial governance challenges
• Google Cloud FinOps framework
• Cloud FinOps operating model
• Google FinOps journey

Exploring and Understanding Billing Data

• Google Cloud Billing accounts
• Cloud Billing dashboard
• Billing account access
• Billing export to BigQuery
• Connecting Looker Studio to Billing data

Resource Labeling and Tagging

• Labels
• Tags
• Label and tag information in billing data

Budgets and Alerting

• Budgets and alerts
• Budget roles and permissions
• Automating budget creation

BigQuery Cost Management and Optimization

• Query costs
• Storage costs
• Allocating costs of BigQuery
• Other BigQuery cost concerns

Compute and GKE Cost Management and Optimization

• Computing waste and cost management
• Compute Engine cost management
• Understanding network costs
• Google Kubernetes Engine cost management

Cloud Storage and Database Costs

• Cloud Storage
• SQL on Google Cloud
• NoSQL on Google Cloud

Machine Learning and Vertex AI Cost Management

• Machine learning model training and hosting
• Monitoring Vertex AI costs
• Generative AI costs

Automating Billing Activities

• Automating resource management
• Cloud asset inventory service
• Programmatic actions on budget alerts
• Google FinOps Hub 

Building a FinOps Practice

• FinOps Team
• Goals, Milestones, and Metrics
• Processes and Workflows
• Measuring Success
• Continuous Improvement