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Home - Lessons - Google Cloud Fundamentals - M3 — Compute Options - Compute Engine VMs, machine types and images

Google Cloud Fundamentals Compute Engine VMs, machine types and images
Google Cloud Fundamentals
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M1 — Cloud Concepts and Google Cloud Structure
Why organisations move workloads to cloud
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Google Cloud regions, zones and edge locations
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Projects, folders, organisations and resource hierarchy
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Billing accounts, budgets, alerts and quota
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The service catalogue and how to read documentation
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Console tour and command line setup
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M2 — Identity and Access Management
Cloud IAM roles, principals and permissions
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Service accounts and workload identity federation
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IAM policies, allow and deny policies
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Basic, predefined and custom role differences
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Organisation policy constraints
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Access audit with Cloud Audit Logs
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M3 — Compute Options
Compute Engine VMs, machine types and images
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Managed instance groups and autoscaling
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Cloud Run for containerised services
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Cloud Functions for event-driven work
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Google Kubernetes Engine at a high level
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Choosing between compute options
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M4 — Storage and Databases
Cloud Storage classes and lifecycle rules
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Persistent disk and filestore
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Cloud SQL versus Cloud Spanner versus Firestore
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BigQuery as an analytics store
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Data transfer and export paths
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Backup, retention and recovery basics
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M5 — Networking and Edge
VPC networks, subnets and routes
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IP addressing, alias ranges and peering
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Cloud Load Balancing types
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Cloud DNS and Cloud CDN
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Cloud NAT for private egress
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Firewall rules and policy
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M6 — Security Baseline
Shared responsibility on Google Cloud
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Encryption at rest and in transit
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Secret Manager and key management
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VPC Service Controls overview
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Security Command Center posture
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Compliance reports and Assured Workloads
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M7 — Cost Management and Operations
Reading and forecasting a cloud bill
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Committed use and sustained use discounts
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Rightsizing and autoscaling for cost
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Cloud Monitoring metrics and dashboards
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Cloud Logging basics
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Tagging and cost allocation
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M8 — Capstone: Platform Assessment
Assess an on-premise estate for cloud readiness
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Draw the target resource hierarchy
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Propose a compute, storage and network design
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Estimate the monthly run cost
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Write the IAM and security baseline
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Present the recommendation with trade-offs
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