Technical Foundations of FinOps on Google Cloud

Customers

• 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

Module 01 Foundations of FinOps on Google Cloud

Topics 01

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

Objectives 01

• 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 02 Exploring and Understanding Billing Data

Topics 02

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

Objectives 02

• Understand 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 02

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

Module 03 Resource Labeling and Tagging

Topics 03

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

Objectives 03

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

Activities 03

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

Module 04 Budgets and Alerting

Topics 04

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

Objectives 04

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

Activities 04

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

Module 05 BigQuery Cost Management and Optimization

Topics 05

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

Objectives 05

• 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 05

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

Module 06 Compute and GKE Cost Management and Optimization

Topics 06

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

Objectives 06

• 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 06

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

Module 07 Cloud Storage and Database Costs

Topics 07

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

Objectives 07

• 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 07

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

Module 08 Machine Learning and Vertex AI Cost Management

Topics 08

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

Objectives 08

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

Activities 08

• Lab: Reviewing Vertex AI Costs in Billing Data

Module 09 Automating Billing Activities

Topics 09

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

Objectives 09

• 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 09

• 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 10

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

Objectives 10

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

Activities 10

• Lab: FinOps Challenge Lab

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