In large cloud environments, visibility and governance are huge challenges. When your Oracle Cloud Infrastructure (OCI) footprint spans multiple regions, tenancies, and service types, tracking what’s deployed, how resources relate to each other, and whether everything is compliant becomes a full-time job.
This is where OCI Resource Analytics comes in — a relatively new OCI service that provides a centralized, near-real-time inventory of your cloud resources with rich analytics, SQL access, graph visualizations, and customizable dashboards. In 2026, this service has grown from early previews into a capable platform for cloud teams.
What Is OCI Resource Analytics?
OCI Resource Analytics (RA) is essentially a cloud inventory + analytics platform built natively on OCI using an Autonomous Data Warehouse (ADW) and optionally Oracle Analytics Cloud (OAC) for dashboarding. It continuously ingests resource metadata from across all your OCI tenancies and regions, structures it into a relational model, and lets you explore it using SQL, graphs, and visual analytics.
At its core, RA answers questions like:
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Which compute instances exist across all tenancies?
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What networking resources are tied to specific compute workloads?
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What resources don’t have tags and might be unmanaged?
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Are my databases backed up? What dependencies exist between services?
Key Components of OCI Resource Analytics
OCI Resource Analytics is built around four major pillars:
1. Autonomous Data Warehouse (ADW)
RA provisions an ADW instance in your tenancy that serves as a centralized inventory database. All resource metadata, relationships, and configuration details are stored here in a structured, query-friendly schema.
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You can connect via SQL clients.
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Data is updated continuously to reflect near-real-time cloud state.
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Useful for automated inventory queries and custom analytics.
Think of this as your “cloud inventory lakehouse” — a data model designed for analytics, not just reporting.
2. Graph Visualization with Graph Studio
One of the standout features of RA is visual graphs that map how resources relate to one another.
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Compute ➜ network ➜ storage ➜ DB dependencies
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Visualize relationships across tenants/regions
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Drill into nodes for deeper insight
Graph Studio lets you visually connect the dots between resources — extremely helpful for troubleshooting and architecture reviews.
3. Prebuilt Dashboards via Oracle Analytics Cloud (OAC)
RA can optionally create an OAC instance with ready-made dashboards:
Common dashboards include:
| Dashboard | Purpose |
|---|---|
| Resource Inventory | Complete overview of resources by type |
| Resources Without Tags | Identify untagged assets |
| Compute & Tag Insights | Correlates compute instances with tagging |
| Load Balancer & Networking | Zoom into networking resources |
| Database Insights | Database resource details & tags |
These dashboards provide domain-specific views with filters and visual analytics — ideal for governance, auditing, and cloud cost reviews.
What’s New in 2026 (Why This Matters)
Oracle continues enhancing Resource Analytics throughout 2026 with new subject areas, dashboards, graph notebooks, and OAC improvements:
Expanded Data Coverage
The latest 2026 update includes ADW views and subject areas for:
- Kubernetes Engine (OKE)
- Object Storage usage
- Logging infrastructure
- OpenSearch clusters
- OCI Cache (Redis/DLM)
- Oracle Integration Cloud metadata
- Network Firewall details
- … and more.
This means Resource Analytics now covers more critical cloud services than ever before, letting you analyze:
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Storage usage patterns
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Logging and audit data infrastructure
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Cache performance and dependencies
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Kubernetes clusters and nodes
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Network security policies and firewall rules
Enhanced Dashboards & Filters
Dashboards in OAC now include filters like:
Tenancy Name
Compartment Name
…instead of just OCIDs, making the UI far more human-friendly.
This significantly improves the usability of analytics for teams managing large hierarchies of compartments and organizational units.
Why Resource Analytics Matters
Centralized Inventory Across Clouds & Regions
Gone are the days of manually gathering OCI resources from regions and tenancies. RA gives you one source of truth.
Accelerated Troubleshooting
Graph visualizations help you understand dependencies quickly — for example, how a compute instance is connected to networking and storage — speeding up root cause analysis.
Better Compliance & Governance
Unify your inventory for audits, compliance monitoring, and operational oversight. You can even enrich inventory data with custom datasets to build organization-specific reports.
Best Practices for Implementing RA
Here’s how you can get the most value from Resource Analytics:
1. Enable RA Across All Tenancies
Make sure every region and compartment you care about is included in the ingestion scope.
2. Integrate with Enterprise Dashboards
Connect OAC dashboards to internal governance systems — it’s perfect for compliance teams and cloud ops.
3. Automate Compliance Checks
Use SQL queries against the inventory lakehouse to automatically audit configurations, tagging compliance, and security hardening.
4. Blend with Internal Metadata
Join RA data with your org’s internal metadata (e.g., team ownership, project cost centers) for powerful cross-reference reporting.
Wrap-Up: A Cloud Inventory Game-Changer
OCI Resource Analytics is still a fresh innovation in 2026, evolving rapidly and filling a critical gap in cloud governance and inventory visibility. With its centralized data model, powerful dashboards, SQL access, and graph-based visualization, it’s much more than an inventory tool — it’s a solid foundation for enterprise-grade monitoring, compliance, and strategic cloud management.
If you manage OCI at scale — especially in multi-region or multi-tenancy environments — this service deserves your attention. Start exploring RA today and watch your cloud visibility skyrocket
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