Course Outline:
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, Foundations of FinOps on Google Cloud, Exploring and Understanding Billing Data, Resource Labeling and Tagging, Budgets and Alerting, BigQuery Cost Management and Optimization, Compute and GKE Cost Management and Optimization, Cloud Storage and Database Costs, Machine Learning and Vertex AI Cost Management, Automating Billing Activities, Building a FinOps Practice
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