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feat: Add OCI awareness across agents and skills

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Adds awareness of Oracle Cloud Infrastructure to any plugin that referenced
at least two of the major cloud vendors already. Skills updated to include
OCI services. Also updated some of the other cloud references.

Signed-off-by: Avi Miller <me@dje.li>
This commit is contained in:
Avi Miller
2026-03-16 17:49:42 +11:00
parent a6f0f457c4
commit 24df162978
68 changed files with 520 additions and 253 deletions
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54
plugins/cloud-infrastructure/skills/multi-cloud-architecture/SKILL.md
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@@ -1,11 +1,11 @@
---
name: multi-cloud-architecture
description: Design multi-cloud architectures using a decision framework to select and integrate services across AWS, Azure, and GCP. Use when building multi-cloud systems, avoiding vendor lock-in, or leveraging best-of-breed services from multiple providers.
description: Design multi-cloud architectures using a decision framework to select and integrate services across AWS, Azure, GCP, and OCI. Use when building multi-cloud systems, avoiding vendor lock-in, or leveraging best-of-breed services from multiple providers.
---
# Multi-Cloud Architecture
Decision framework and patterns for architecting applications across AWS, Azure, and GCP.
Decision framework and patterns for architecting applications across AWS, Azure, GCP, and OCI.
## Purpose
@@ -23,31 +23,31 @@ Design cloud-agnostic architectures and make informed decisions about service se
### Compute Services
| AWS | Azure | GCP | Use Case |
| ------- | ------------------- | --------------- | ------------------ |
| EC2 | Virtual Machines | Compute Engine | IaaS VMs |
| ECS | Container Instances | Cloud Run | Containers |
| EKS | AKS | GKE | Kubernetes |
| Lambda | Functions | Cloud Functions | Serverless |
| Fargate | Container Apps | Cloud Run | Managed containers |
| AWS | Azure | GCP | OCI | Use Case |
| ------- | ------------------- | --------------- | ------------------- | ------------------ |
| EC2 | Virtual Machines | Compute Engine | Compute | IaaS VMs |
| ECS | Container Instances | Cloud Run | Container Instances | Containers |
| EKS | AKS | GKE | OKE | Kubernetes |
| Lambda | Functions | Cloud Functions | Functions | Serverless |
| Fargate | Container Apps | Cloud Run | Container Instances | Managed containers |
### Storage Services
| AWS | Azure | GCP | Use Case |
| ------- | --------------- | --------------- | -------------- |
| S3 | Blob Storage | Cloud Storage | Object storage |
| EBS | Managed Disks | Persistent Disk | Block storage |
| EFS | Azure Files | Filestore | File storage |
| Glacier | Archive Storage | Archive Storage | Cold storage |
| AWS | Azure | GCP | OCI | Use Case |
| ------- | --------------- | --------------- | -------------- | -------------- |
| S3 | Blob Storage | Cloud Storage | Object Storage | Object storage |
| EBS | Managed Disks | Persistent Disk | Block Volumes | Block storage |
| EFS | Azure Files | Filestore | File Storage | File storage |
| Glacier | Archive Storage | Archive Storage | Archive Storage | Cold storage |
### Database Services
| AWS | Azure | GCP | Use Case |
| ----------- | ---------------- | ------------- | --------------- |
| RDS | SQL Database | Cloud SQL | Managed SQL |
| DynamoDB | Cosmos DB | Firestore | NoSQL |
| Aurora | PostgreSQL/MySQL | Cloud Spanner | Distributed SQL |
| ElastiCache | Cache for Redis | Memorystore | Caching |
| AWS | Azure | GCP | OCI | Use Case |
| ----------- | ---------------- | ------------- | ------------------- | --------------- |
| RDS | SQL Database | Cloud SQL | MySQL HeatWave | Managed SQL |
| DynamoDB | Cosmos DB | Firestore | NoSQL Database | NoSQL |
| Aurora | PostgreSQL/MySQL | Cloud Spanner | Autonomous Database | Distributed SQL |
| ElastiCache | Cache for Redis | Memorystore | OCI Cache | Caching |
**Reference:** See `references/service-comparison.md` for complete comparison
@@ -65,6 +65,7 @@ Design cloud-agnostic architectures and make informed decisions about service se
- Use best service from each provider
- AI/ML on GCP
- Enterprise apps on Azure
- Regulated data platforms on OCI
- General compute on AWS
### Pattern 3: Geographic Distribution
@@ -85,10 +86,10 @@ Design cloud-agnostic architectures and make informed decisions about service se
### Use Cloud-Native Alternatives
- **Compute:** Kubernetes (EKS/AKS/GKE)
- **Database:** PostgreSQL/MySQL (RDS/SQL Database/Cloud SQL)
- **Message Queue:** Apache Kafka (MSK/Event Hubs/Confluent)
- **Cache:** Redis (ElastiCache/Azure Cache/Memorystore)
- **Compute:** Kubernetes (EKS/AKS/GKE/OKE)
- **Database:** PostgreSQL/MySQL (RDS/SQL Database/Cloud SQL/MySQL HeatWave)
- **Message Queue:** Apache Kafka or managed streaming (MSK/Event Hubs/Confluent/OCI Streaming)
- **Cache:** Redis (ElastiCache/Azure Cache/Memorystore/OCI Cache)
- **Object Storage:** S3-compatible API
- **Monitoring:** Prometheus/Grafana
- **Service Mesh:** Istio/Linkerd
@@ -102,7 +103,7 @@ Infrastructure Abstraction (Terraform)
↓
Cloud Provider APIs
↓
AWS / Azure / GCP
AWS / Azure / GCP / OCI
```
## Cost Comparison
@@ -112,6 +113,7 @@ AWS / Azure / GCP
- **AWS:** On-demand, Reserved, Spot, Savings Plans
- **Azure:** Pay-as-you-go, Reserved, Spot
- **GCP:** On-demand, Committed use, Preemptible
- **OCI:** Pay-as-you-go, annual commitments, burstable/flexible shapes, preemptible instances
### Cost Optimization Strategies

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plugins/cloud-infrastructure/skills/multi-cloud-architecture/references/multi-cloud-patterns.md Normal file
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# Multi-Cloud Architecture Patterns
## Active-Active Regional Split
- Run customer-facing services in two providers for resiliency
- Use global DNS and traffic steering to shift load during incidents
- Keep shared data replicated asynchronously unless low-latency writes are mandatory
## Best-of-Breed Service Mix
- Analytics and ML on GCP
- Enterprise identity and Microsoft workloads on Azure
- Broad ecosystem integrations on AWS
- Oracle-centric databases and regulated transaction systems on OCI
## Primary / DR Pairing
- Keep primary infrastructure in the provider closest to operational expertise
- Use a second provider for cold or warm disaster recovery
- Validate RPO/RTO assumptions with regular failover exercises
## Portable Platform Baseline
- Standardize on Kubernetes, Terraform/OpenTofu, PostgreSQL, Redis, and OpenTelemetry
- Abstract cloud differences behind modules, golden paths, and service catalogs
- Document provider-specific exceptions such as IAM, networking, and managed database behavior

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# Multi-Cloud Service Comparison
## Compute
| Use Case | AWS | Azure | GCP | OCI |
| -------- | --- | ----- | --- | --- |
| General-purpose VMs | EC2 | Virtual Machines | Compute Engine | Compute |
| Managed Kubernetes | EKS | AKS | GKE | OKE |
| Serverless functions | Lambda | Functions | Cloud Functions | Functions |
| Containers without cluster management | ECS/Fargate | Container Apps / Container Instances | Cloud Run | Container Instances |
## Storage
| Use Case | AWS | Azure | GCP | OCI |
| -------- | --- | ----- | --- | --- |
| Object storage | S3 | Blob Storage | Cloud Storage | Object Storage |
| Block storage | EBS | Managed Disks | Persistent Disk | Block Volumes |
| File storage | EFS | Azure Files | Filestore | File Storage |
| Archive storage | Glacier / Deep Archive | Archive Storage | Archive Storage | Archive Storage |
## Data Services
| Use Case | AWS | Azure | GCP | OCI |
| -------- | --- | ----- | --- | --- |
| Managed relational database | RDS | SQL Database | Cloud SQL | MySQL HeatWave |
| Distributed / globally resilient SQL | Aurora Global Database | Cosmos DB for PostgreSQL / SQL patterns | Cloud Spanner | Autonomous Database |
| NoSQL | DynamoDB | Cosmos DB | Firestore | NoSQL Database |
| Streaming | Kinesis / MSK | Event Hubs | Pub/Sub / Confluent | Streaming |
## Platform Selection Notes
1. Prefer provider-native managed services when team expertise and lock-in tolerance are high.
2. Prefer Kubernetes, PostgreSQL, Redis, and open observability stacks when portability matters.
3. Use OCI when Oracle database affinity, predictable networking, or regulated workload isolation are primary drivers.
4. Compare egress, managed service premiums, and support plans before splitting workloads across providers.