
hybrid-cloud-networking
Configure secure, high-performance connectivity between on-premises infrastructure and cloud platforms using VPN and dedicated connections. Use when building hybrid cloud architectures, connecting data centers to cloud, or implementing secure cross-premises networking.
- Installs
- 10.7K
- Last 24h
- +30
- Trending rank
- #4416
- Security
- Pass
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/wshobson/agents --skill hybrid-cloud-networking- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads hybrid-cloud-networking automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
Security audits
Independent scans of the skill's instructions and bundled files.
SKILL.md
The instructions your agent reads when the skill is triggered.
Hybrid Cloud Networking
Configure secure, high-performance connectivity between on-premises and cloud environments using VPN, Direct Connect, ExpressRoute, Interconnect, and FastConnect.
Purpose
Establish secure, reliable network connectivity between on-premises data centers and cloud providers (AWS, Azure, GCP, OCI).
When to Use
- Connect on-premises to cloud
- Extend datacenter to cloud
- Implement hybrid active-active setups
- Meet compliance requirements
- Migrate to cloud gradually
Connection Options
AWS Connectivity
1. Site-to-Site VPN
- IPSec VPN over internet
- Up to 1.25 Gbps per tunnel
- Cost-effective for moderate bandwidth
- Higher latency, internet-dependent
resource "aws_vpn_gateway" "main" {
vpc_id = aws_vpc.main.id
tags = {
Name = "main-vpn-gateway"
}
}
resource "aws_customer_gateway" "main" {
bgp_asn = 65000
ip_address = "203.0.113.1"
type = "ipsec.1"
}
resource "aws_vpn_connection" "main" {
vpn_gateway_id = aws_vpn_gateway.main.id
customer_gateway_id = aws_customer_gateway.main.id
type = "ipsec.1"
static_routes_only = false
}
2. AWS Direct Connect
- Dedicated network connection
- 1 Gbps to 100 Gbps
- Lower latency, consistent bandwidth
- More expensive, setup time required
Reference: See references/direct-connect.md
Azure Connectivity
1. Site-to-Site VPN
resource "azurerm_virtual_network_gateway" "vpn" {
name = "vpn-gateway"
location = azurerm_resource_group.main.location
resource_group_name = azurerm_resource_group.main.name
type = "Vpn"
vpn_type = "RouteBased"
sku = "VpnGw1"
ip_configuration {
name = "vnetGatewayConfig"
public_ip_address_id = azurerm_public_ip.vpn.id
private_ip_address_allocation = "Dynamic"
subnet_id = azurerm_subnet.gateway.id
}
}
2. Azure ExpressRoute
- Private connection via connectivity provider
- Up to 100 Gbps
- Low latency, high reliability
- Premium for global connectivity
GCP Connectivity
1. Cloud VPN
- IPSec VPN (Classic or HA VPN)
- HA VPN: 99.99% SLA
- Up to 3 Gbps per tunnel
2. Cloud Interconnect
- Dedicated (10 Gbps, 100 Gbps)
- Partner (50 Mbps to 50 Gbps)
- Lower latency than VPN
OCI Connectivity
1. IPSec VPN Connect
- IPSec VPN with redundant tunnels
- Dynamic routing through DRG
- Good fit for branch offices and migration phases
2. OCI FastConnect
- Private dedicated connectivity through Oracle or partner edge
- Suitable for predictable throughput and lower-latency hybrid traffic
- Commonly paired with DRG for hub-and-spoke designs
Hybrid Network Patterns
Pattern 1: Hub-and-Spoke
On-Premises Datacenter
↓
VPN/Direct Connect
↓
Transit Gateway (AWS) / vWAN (Azure)
↓
├─ Production VPC/VNet
├─ Staging VPC/VNet
└─ Development VPC/VNet
Pattern 2: Multi-Region Hybrid
On-Premises
├─ Direct Connect → us-east-1
└─ Direct Connect → us-west-2
↓
Cross-Region Peering
Pattern 3: Multi-Cloud Hybrid
On-Premises Datacenter
├─ Direct Connect → AWS
├─ ExpressRoute → Azure
├─ Interconnect → GCP
└─ FastConnect → OCI
Routing Configuration
BGP Configuration
On-Premises Router:
- AS Number: 65000
- Advertise: 10.0.0.0/8
Cloud Router:
- AS Number: 64512 (AWS), 65515 (Azure), provider-assigned for GCP/OCI
- Advertise: Cloud VPC/VNet CIDRs
Route Propagation
- Enable route propagation on route tables
- Use BGP for dynamic routing
- Implement route filtering
- Monitor route advertisements
Security Best Practices
- Use private connectivity (Direct Connect/ExpressRoute/Interconnect/FastConnect)
- Implement encryption for VPN tunnels
- Use VPC endpoints to avoid internet routing
- Configure network ACLs and security groups
- Enable VPC Flow Logs for monitoring
- Implement DDoS protection
- Use PrivateLink/Private Endpoints
- Monitor connections with CloudWatch/Azure Monitor/Cloud Monitoring/OCI Monitoring
- Implement redundancy (dual tunnels)
- Regular security audits
High Availability
Dual VPN Tunnels
resource "aws_vpn_connection" "primary" {
vpn_gateway_id = aws_vpn_gateway.main.id
customer_gateway_id = aws_customer_gateway.primary.id
type = "ipsec.1"
}
resource "aws_vpn_connection" "secondary" {
vpn_gateway_id = aws_vpn_gateway.main.id
customer_gateway_id = aws_customer_gateway.secondary.id
type = "ipsec.1"
}
Active-Active Configuration
- Multiple connections from different locations
- BGP for automatic failover
- Equal-cost multi-path (ECMP) routing
- Monitor health of all connections
Monitoring and Troubleshooting
Key Metrics
- Tunnel status (up/down)
- Bytes in/out
- Packet loss
- Latency
- BGP session status
Troubleshooting
# AWS VPN
aws ec2 describe-vpn-connections
aws ec2 get-vpn-connection-telemetry
# Azure VPN
az network vpn-connection show
az network vpn-connection show-device-config-script
# OCI IPSec VPN
oci network ip-sec-connection list
oci network cpe list
Cost Optimization
- Right-size connections based on traffic
- Use VPN for low-bandwidth workloads
- Consolidate traffic through fewer connections
- Minimize data transfer costs
- Use dedicated private links for high bandwidth
- Implement caching to reduce traffic
Related Skills
multi-cloud-architecture- For architecture decisionsterraform-module-library- For IaC implementation
FAQ
What does the hybrid-cloud-networking skill do?
Configure secure, high-performance connectivity between on-premises infrastructure and cloud platforms using VPN and dedicated connections. Use when building hybrid cloud architectures, connecting data centers to cloud, or implementing secure cross-premises networking.
How do I install hybrid-cloud-networking?
Run npx skills add https://github.com/wshobson/agents --skill hybrid-cloud-networking in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/hybrid-cloud-networking/ (personal) or .claude/skills/hybrid-cloud-networking/ (project).
Which AI agents can use hybrid-cloud-networking?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is hybrid-cloud-networking safe to install?
Security partners have reviewed it: Gen Agent Trust Hub passed; Socket passed; Snyk passed; Runlayer passed; ZeroLeaks passed. As with any skill, read the SKILL.md and bundled scripts before installing.
Who maintains hybrid-cloud-networking?
It is published by wshobson in wshobson/agents. It has 10,679 recorded installs.
More from wshobson/agents
typescript-advanced-types
wshobson/agents
Master TypeScript's advanced type system including generics, conditional types, mapped types, template literals, and utility types for building type-safe applications. Use when implementing complex type logic, creating reusable type utilities, or ensuring compile-time type safety in TypeScript projects.
tailwind-design-system
wshobson/agents
Build scalable design systems with Tailwind CSS v4, design tokens, component libraries, and responsive patterns. Use when creating component libraries, implementing design systems, or standardizing UI patterns.
nodejs-backend-patterns
wshobson/agents
Build production-ready Node.js backend services with Express/Fastify, implementing middleware patterns, error handling, authentication, database integration, and API design best practices. Use when creating Node.js servers, REST APIs, GraphQL backends, or microservices architectures.
brand-landingpage
wshobson/agents
Brand-first landing page designer — runs a brand-identity interview (colors, typography, shape language), then generates and iterates on a polished landing page via Stitch with deployment-ready HTML. Use when the user asks to create, design, or build a landing page, homepage, or marketing page and has no established visual direction. Skip when they have a design mockup, need a dashboard or app UI, are working at component level, building a multi-page app, or restyling with known design tokens — use frontend-design instead.
python-testing-patterns
wshobson/agents
Implement comprehensive testing strategies with pytest, fixtures, mocking, and test-driven development. Use when writing Python tests, setting up test suites, or implementing testing best practices.
python-performance-optimization
wshobson/agents
Profile and optimize Python code using cProfile, memory profilers, and performance best practices. Use when debugging slow Python code, optimizing bottlenecks, or improving application performance.
Popular devops & cloud skills
microsoft-foundry
microsoft/azure-skills
Build, deploy, evaluate, optimize, fine-tune, and manage Microsoft Foundry agents, models, and resources end to end. USE FOR: foundry, azd ai agent, azd provision/deploy, hosted agent scaffold/develop/run/deploy/troubleshoot, prompt agent create, managed harness agent create, GitHub Copilot harness agent, create agent, update agent, add tool to agent, invoke agent, agent insights, evaluate agent, batch eval, continuous eval, continuous monitoring, agent CI/CD, optimize prompt, improve prompt, optimize agent instructions, Agent Optimizer scaffold, dataset curation from traces, deploy model, model fine-tuning (SFT/DPO/RFT), Foundry project, RBAC, role assignment, permissions, quota, capacity, region, deployment failure, AI Services, create Foundry resource, knowledge index, customize deployment, onboard, availability, training-data, grader, distillation, large file upload. DO NOT USE FOR: Azure Functions, App Service, general Azure deploy (use azure-deploy), general Azure prep (use azure
azure-diagnostics
microsoft/azure-skills
Debug Azure production issues on Azure using AppLens, Azure Monitor, resource health, and safe triage. WHEN: debug production issues, troubleshoot app service, app service high CPU, app service deployment failure, troubleshoot container apps, container app 503 or target port mismatch, troubleshoot functions, function telemetry missing or stopped after a config/connection-string change, troubleshoot AKS, VM RDP, Linux SSH, VM black screen, can't connect to VM, reset VM password, NSG or firewall blocking, kubectl cannot connect, kube-system/CoreDNS failures, pod pending, crashloop, node not ready, upgrade failures, analyze logs, KQL, insights, image pull failures, cold start issues, health probe failures, resource health, root cause of errors, troubleshoot event hubs, troubleshoot service bus, messaging SDK error, AMQP connection failure, message lock lost, lock renewal during long-running processing, service bus dead letter.
azure-prepare
microsoft/azure-skills
Prepare azd-based Azure projects for deployment: generates azure.yaml, infrastructure (Bicep/Terraform), and Dockerfiles for the Azure Developer CLI (azd) workflow. USE ONLY when the user explicitly wants to use azd as the deployment tool, or the project already has an azure.yaml file. DO NOT USE FOR: non-azd deployments, Python App Service code-only deploys (use python-appservice-deploy), or cross-cloud migration (use azure-cloud-migrate). WHEN: prepare app for azd, create azure.yaml, set up azd infrastructure, modernize app for Azure with azd, deploy with azd, function app, timer trigger, service bus trigger, event-driven function, managed identity, generate Bicep, generate Terraform, create and deploy to Azure.
azure-ai
microsoft/azure-skills
Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech.
azure-deploy
microsoft/azure-skills
Execute Azure deployments for ALREADY-PREPARED applications that have existing .azure/deployment-plan.md and infrastructure files. DO NOT use this skill when the user asks to CREATE a new application — use azure-prepare instead. This skill runs azd up, azd deploy, terraform apply, and az deployment commands with built-in error recovery. Requires .azure/deployment-plan.md from azure-prepare and validated status from azure-validate. WHEN: "run azd up", "run azd deploy", "execute deployment", "push to production", "push to cloud", "go live", "ship it", "bicep deploy", "terraform apply", "publish to Azure", "launch on Azure". DO NOT USE WHEN: "create and deploy", "build and deploy", "create a new app", "set up infrastructure", "create and deploy to Azure using Terraform" — use azure-prepare for these.
azure-validate
microsoft/azure-skills
Pre-deployment validation for Azure readiness. Run deep checks on configuration, infrastructure (Bicep or Terraform), RBAC role assignments, managed identity permissions, and prerequisites before deploying. WHEN: validate my app, check deployment readiness, run preflight checks, verify configuration, check if ready to deploy, validate azure.yaml, validate Bicep, test before deploying, troubleshoot deployment errors, validate Azure Functions, validate function app, validate serverless deployment, verify RBAC roles, check role assignments, review managed identity permissions, what-if analysis, validate Container Apps deployment.