---
title: "Watch Emerging Global Clouds"
source: Panaversity Learn Agentic AI
source_url: https://github.com/panaversity/learn-agentic-ai
licence: Apache-2.0
domain: agentic-ai
subdomain: panaversity-agentic
date_added: 2026-04-25
---

# Watch Emerging Global Clouds

## Overview
This guide provides detailed instructions for monitoring and evaluating emerging global cloud providers and their Kubernetes offerings, ensuring awareness of new opportunities and capabilities in the cloud landscape.

## Prerequisites
- Access to cloud provider documentation
- kubectl configured
- Basic understanding of cloud concepts
- Access to create and modify resources

## Provider Evaluation Framework

### 1. Define Evaluation Criteria
```yaml
# evaluation-criteria.yaml
apiVersion: v1
kind: ConfigMap
metadata:
  name: provider-evaluation
  namespace: planning
data:
  criteria.yaml: |
    evaluation:
      categories:
        - name: "Infrastructure"
          metrics:
            - "Region Coverage"
            - "Network Performance"
            - "Storage Options"
            - "Compute Options"
        - name: "Kubernetes Support"
          metrics:
            - "Managed Service"
            - "Version Support"
            - "Add-on Support"
            - "Integration Options"
        - name: "Security"
          metrics:
            - "Compliance Certifications"
            - "Data Protection"
            - "Access Control"
            - "Monitoring"
        - name: "Cost"
          metrics:
            - "Pricing Model"
            - "Reserved Instances"
            - "Spot Instances"
            - "Data Transfer"
```

### 2. Configure Provider Monitoring
```yaml
# provider-monitoring.yaml
apiVersion: v1
kind: ConfigMap
metadata:
  name: provider-monitoring
  namespace: monitoring
data:
  providers.yaml: |
    providers:
      - name: "Alibaba Cloud"
        regions:
          - "ap-southeast-1"
          - "us-west-1"
          - "eu-central-1"
        features:
          - "ACK (Alibaba Cloud Kubernetes)"
          - "Serverless Kubernetes"
          - "Edge Kubernetes"
      - name: "Tencent Cloud"
        regions:
          - "ap-guangzhou"
          - "ap-shanghai"
          - "ap-hongkong"
        features:
          - "TKE (Tencent Kubernetes Engine)"
          - "Serverless Kubernetes"
          - "Edge Computing"
      - name: "Oracle Cloud"
        regions:
          - "us-ashburn-1"
          - "uk-london-1"
          - "ap-tokyo-1"
        features:
          - "OKE (Oracle Kubernetes Engine)"
          - "Container Engine"
          - "Functions"
```

## Feature Tracking

### 1. Configure Feature Database
```yaml
# feature-database.yaml
apiVersion: v1
kind: ConfigMap
metadata:
  name: feature-database
  namespace: planning
data:
  features.yaml: |
    features:
      - name: "Serverless Kubernetes"
        providers:
          - name: "Alibaba Cloud"
            status: "GA"
            launch_date: "2020-01-01"
            regions: ["ap-southeast-1", "us-west-1"]
          - name: "Tencent Cloud"
            status: "Preview"
            launch_date: "2021-06-01"
            regions: ["ap-guangzhou"]
      - name: "Edge Kubernetes"
        providers:
          - name: "Alibaba Cloud"
            status: "GA"
            launch_date: "2020-07-01"
            regions: ["ap-southeast-1"]
          - name: "Tencent Cloud"
            status: "Preview"
            launch_date: "2021-09-01"
            regions: ["ap-guangzhou"]
```

### 2. Configure Feature Monitoring
```yaml
# feature-monitoring.yaml
apiVersion: monitoring.coreos.com/v1
kind: PrometheusRule
metadata:
  name: feature-monitoring
  namespace: monitoring
spec:
  groups:
  - name: feature-updates
    rules:
    - alert: NewFeatureReleased
      expr: feature_release_date > time() - 86400
      for: 1h
      labels:
        severity: info
      annotations:
        summary: New feature released
        description: {{ $labels.feature }} has been released by {{ $labels.provider }}
    - alert: FeatureStatusChanged
      expr: feature_status_changed > 0
      for: 1h
      labels:
        severity: warning
      annotations:
        summary: Feature status changed
        description: {{ $labels.feature }} status changed to {{ $labels.status }} in {{ $labels.provider }}
```

## Performance Monitoring

### 1. Configure Performance Tracking
```yaml
# performance-tracking.yaml
apiVersion: v1
kind: ConfigMap
metadata:
  name: performance-tracking
  namespace: monitoring
data:
  metrics.yaml: |
    metrics:
      - name: "Network Latency"
        providers:
          - name: "Alibaba Cloud"
            regions:
              - name: "ap-southeast-1"
                latency: "50ms"
                last_updated: "2023-01-01"
          - name: "Tencent Cloud"
            regions:
              - name: "ap-guangzhou"
                latency: "45ms"
                last_updated: "2023-01-01"
      - name: "Storage Performance"
        providers:
          - name: "Alibaba Cloud"
            regions:
              - name: "ap-southeast-1"
                iops: "3000"
                throughput: "100MB/s"
                last_updated: "2023-01-01"
```

### 2. Create Performance Dashboard
```yaml
# performance-dashboard.yaml
apiVersion: integreatly.org/v1alpha1
kind: GrafanaDashboard
metadata:
  name: provider-performance
  namespace: monitoring
spec:
  json: |
    {
      "dashboard": {
        "title": "Provider Performance",
        "panels": [
          {
            "title": "Network Latency",
            "type": "graph",
            "datasource": "Prometheus",
            "targets": [
              {
                "expr": "provider_network_latency",
                "legendFormat": "{{provider}} {{region}}"
              }
            ]
          },
          {
            "title": "Storage Performance",
            "type": "graph",
            "datasource": "Prometheus",
            "targets": [
              {
                "expr": "provider_storage_iops",
                "legendFormat": "IOPS {{provider}}"
              },
              {
                "expr": "provider_storage_throughput",
                "legendFormat": "Throughput {{provider}}"
              }
            ]
          },
          {
            "title": "Compute Performance",
            "type": "table",
            "datasource": "Prometheus",
            "targets": [
              {
                "expr": "provider_compute_performance",
                "legendFormat": "{{provider}} {{instance_type}}"
              }
            ]
          }
        ]
      }
    }
```

## Best Practices

### 1. Provider Evaluation
- Regular assessment
- Feature tracking
- Performance monitoring
- Cost analysis
- Documentation

### 2. Feature Monitoring
- Regular updates
- Version tracking
- Region coverage
- Documentation
- Reviews

### 3. Performance Analysis
- Regular testing
- Benchmarking
- Documentation
- Reviews
- Updates

## Next Steps
1. Implement monitoring
2. Regular evaluation
3. Documentation
4. Training
5. Regular reviews
