Technical Foundations of FinOps on Google Cloud (TFFGC)

Module 1 - Foundations of FinOps on Google Cloud

Topics:

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

Objectives:

• Recognize financial governance challenges facing organizations today
• Understand the purpose of Google Cloud FinOps framework
• Implement the Google Cloud FinOps operating model
• Discern the three phases and five pillars of the Google FinOps journey

Module 2 - Exploring and Understanding Billing Data

Topics:

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

Objectives:

• Understand the Google Cloud Billing account management
• Navigate the Cloud Billing dashboard
• Control access to billing accounts with IAM and permissions
• Configure and use BigQuery billing to export data
• Visualize your costs with Looker Studio

Activities:

• Lab: Exploring the Billing Dashboard
• Lab: Visualizing your Costs with Looker Studio

Module 3- Resource Labeling and Tagging

Topics:

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

Objectives:

• Utilize labels on resources
• Define and bind tags to projects and resources
• Access label and tag information in billing data

Activities:

• Lab: Tagging Resources
• Lab: Examining Labels and Tags in BigQuery Billing Data

Module 4 - Budgets and Alerting

Topics:

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

Objectives:

• Understand the benefits of budgets and alerts
• Create a budget
• Create budgets with gcloud, Python, and Terraform

Activities:

• Demo: Using gcloud and Terraform to create budgets and alerts

Module 5 - BigQuery Cost Management and Optimization

Topics:

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

Objectives:

• Understand BigQuery compute and storage costs
• Use queries and tools to help understand and manage BigQuery costs
• Recognize best practices for BigQuery cost management

Activities:

• Lab: Examining BigQuery Costs Across the Project, Folder, and Organization

Module 6 - Compute and GKE Cost Management and Optimization

Topics:

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

Objectives:

• Use cloud resources efficiently and avoid waste
• Understand computing and network charges incurred in Google Cloud
• Understand additional Google Kubernetes Engine costs beyond computing and networking

Activities:

• Lab: Reviewing and Understanding Compute Billing
• Lab: Reviewing and Understanding Kubernetes Costs

Module 7 - Cloud Storage and Database Costs

Topics:

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

Objectives:

• Optimize Cloud Storage costs based on location, access patterns, and lifecycle
• Understand SQL database costs, including Cloud SQL, AlloyDB, and Spanner
• Utilize Database Committed Use Discounts (CUD).
• Understand NoSQL database costs, including Memorystore, Firestore, and Bigtable

Activities:

• Lab: Working with Cloud Storage Cost Management
• Lab: Reviewing and Understanding Database Billing

Module 8 - Machine Learning and Vertex AI Cost Management

Topics:

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

Objectives:

• Decipher charges associated with machine learning model preparation, training, and hosting
• Understand costs associated with generative AI usage, including subscriptions and API usage

Activities:

• Lab: Reviewing Vertex AI Costs in Billing Data

Module 9 - Automating Billing Activities

Topics:

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

Objectives:

• Use techniques for automating resource management
• Respond programmatically to budget alerts Pub/Sub messages
• Utilize the Cloud Asset inventory service
• View recommendations in the Google FinOps Hub

Activities:

• Lab: Automate Tagging upon Resource Creation Using Asset API, Pub/Sub and Cloud Run Functions
• Lab: Programming Budget Alert Actions Using Pub/Sub and Cloud Run Functions

Module 10 - Building a FinOps Practice

Topics:

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

Objectives:

• Establish a FinOps team and roadmap
• Implement processes and workflows for FinOps
• Define success for a FinOps strategy
• Recognize the need for continuous improvement and evolution of FinOps

Activities:

• Lab: FinOps Challenge Lab