👉 What this diagram is about (view)
This picture shows how Oracle Cloud and Google Cloud are directly connected by a fast private road.
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Oracle Cloud = one city
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Google Cloud = another city
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Interconnect = a private highway between the two cities
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No public internet involved
🔹 Simple story
Your application is in Google Cloud
Your database is in Oracle Cloud
Instead of sending data over the public internet (slow + risky),
Oracle and Google built a dedicated private connection just for customers.
🔵 Diagram 2: Oracle Database @ Google Cloud (September 2024)
👉 What this diagram is about (Layman view)
This picture shows Oracle Database running inside Google Cloud itself.
Not connected from outside — it is already there.
🔹 Simple story
Your application is in Google Cloud
Your Oracle database is ALSO in Google Cloud
Oracle installs and manages its database inside Google’s data center, but:
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Oracle still controls the database
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Google still controls the cloud
🔹 What happens here
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No cross-cloud traffic
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No interconnect needed
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App and DB talk like neighbors
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Extremely low latency
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Oracle handles DB operations
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Google handles infrastructure
Inside Google data center, Oracle does this:
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Oracle installs multiple independent racks
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Each rack group has:
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Independent power feeds
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Independent network paths
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Independent storage
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Oracle labels these internally as:
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AD-1
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AD-2
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FD-1 / FD-2 / FD-3
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⚠️ These AD/FD are OCI logical constructs,
not Google’s zones.
Who manages what (VERY IMPORTANT)
| Layer | Who manages it |
|---|---|
| Building, power, cooling | |
| Physical servers, storage | Oracle |
| Network between Oracle racks | Oracle |
| Oracle Exadata / ADB | Oracle |
| AD / FD logic | Oracle |
| Patching, backups, RAC | Oracle |
| App (VMs, GKE, Cloud Run) | You / Google |
So Oracle is running OCI inside GCP, not OCI on top of GCP.
Multi-AD / HA in Oracle DB @ GCP
Example: Autonomous Database
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Oracle deploys:
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Primary DB in one Oracle AD
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Standby DB in another Oracle AD
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Both ADs are inside same GCP region
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Failover handled by Oracle
👉 From DB point of view:
Same HA behavior as OCI region
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This diagram is not about architecture — it is about how easy Oracle Database@Google Cloud is to buy, operate, and use.
Think of it as customer journey + operations flow.
I’ll explain it step by step, in plain technical language, then summarize it in one clean mental model.
1️⃣ What this diagram represents (big picture)
Goal of the diagram:
👉 “Oracle Database behaves like a native Google Cloud service, even though Oracle manages it underneath.”
So this diagram answers:
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How do you buy it?
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How do you deploy & manage it?
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How do you use it with other GCP services?
2️⃣ Step 1: Purchase in Google Cloud Marketplace
What happens technically
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Oracle publishes Oracle Database@Google Cloud as a Marketplace offering
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You subscribe using:
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Your Google Cloud account
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Your Google billing
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No separate Oracle contract process
Key technical implication
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Billing appears in GCP Billing
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IAM access tied to GCP project
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Subscription links your GCP project ↔ Oracle tenancy
📌 Under the hood:
Google forwards subscription metadata to Oracle → Oracle activates OCI resources.
3️⃣ Step 2: Deploy, manage, and monitor from Google Cloud Console
This is the most important part of the diagram.
What you see
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Oracle Database appears as a service inside GCP Console
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You can:
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Create Exadata / Autonomous DB
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Scale CPU / storage
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View metrics
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Monitor health
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What happens under the hood
| Action in GCP Console | Actual execution |
|---|---|
| Create DB | Oracle Control Plane |
| Scale DB | OCI automation |
| Patch DB | Oracle SRE |
| Monitor DB | OCI metrics bridged to GCP Monitoring |
📌 UI = Google
📌 Brain = Oracle
4️⃣ Instance creation screen (middle image)
This screen shows:
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DB shape selection
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Storage sizing
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CPU configuration
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Region mapping
Important technical detail
You are not choosing GCP machine types.
You are choosing:
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Oracle Exadata shape
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Oracle storage layout
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Oracle HA configuration
Oracle maps this to its OCI hardware inside GCP DC.
5️⃣ Monitoring & metrics (graph screen)
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Metrics appear in Google Cloud Monitoring
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Data source is Oracle DB telemetry
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Metrics include:
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CPU utilization
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Storage usage
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I/O behavior
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📌 Monitoring is integrated, not duplicated
📌 No need to log into OCI console separately (unless deep DBA ops)
6️⃣ Step 3: Combine with your choice of Google Cloud services
This right-most part shows native GCP services:
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Compute Engine
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GKE
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Cloud Run
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BigQuery
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Vertex AI
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VPC Network
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Cloud Storage
Technical meaning
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Apps connect to Oracle DB over private OCI-managed network
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Latency is intra-datacenter
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No VPN, no Interconnect, no public IP
Result
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Google apps feel like they are talking to a native database
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Oracle DB keeps OCI-grade reliability
Google runs the application, Oracle runs the database — both inside the same Google Cloud zone, but with separate ownership.
🔁 Concept Mapping (Google ↔ Oracle)
🟦 Google Cloud side
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Project (Google) → Your billing + IAM + resources container
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VPC (Google) → Network for your applications
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Zone (Google) → Physical location where your app VM/GKE runs
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Application Subnet → App lives here
🟥 Oracle Cloud side (inside Google DC)
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Tenancy (Oracle) → Oracle’s account that owns the DB
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VCN (Oracle) → Oracle’s private network for DB
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AD (Oracle) → Oracle’s fault-isolated deployment unit
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Client / DB / Backup Subnets → Oracle DB traffic separation
🔌 How they connect
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App in GCP VPC talks to DB in OCI VCN
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Connection is via OCI-managed private network
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No public IP, no VPN, no interconnect
🧠 One-line memory trick
Project ↔ Tenancy
VPC ↔ VCN
Zone ↔ AD
App ↔ DB (private, Oracle-managed)
Note:-
