
huawei-cloud-flexus-l-deploy-jiuwenswarm
One-click deployment of JiuwenSwarm multi-Agent collaboration platform on Huawei Cloud Flexus L instances. Usage scenarios: When users need to quickly deploy JiuwenSwarm/JiuwenClaw on Huawei Cloud Flexus L instances, when they need to automatically create cloud instances and deploy AI Agent platforms, when they need to configure model APIs and message channels (Xiaoyi/Feishu/DingTalk). Automatically create instances, deploy applications via COC, configure models and message channels. Trigger keywords: JiuwenSwarm deployment, JiuwenClaw deployment, 九问Swarm部署, 九问Claw部署, 一键部署JiuwenSwarm, AI智能体平台部署, 部署九问Swarm, 部署九问Claw,云服务器部署AI平台.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/huaweicloud/huaweicloud-skills --skill huawei-cloud-flexus-l-deploy-jiuwenswarm- 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 huawei-cloud-flexus-l-deploy-jiuwenswarm automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Important Notes:
- All Python files in the
scriptsdirectory have implemented all functions. Do not create additional py files. - Do not modify the script files in the
scriptsdirectory. - Please operate directly according to the provided code and documentation. No need to check Huawei Cloud official API documentation.
security Execution Rules (Highest Priority):
- All scripts MUST be executed via skill action=exec, NEVER run directly in shell
- NEVER print script contents or commands containing AK/SK/Token in conversation
- NEVER create temporary script files, prefer inline execution (python -c)
- On execution failure, only return error info, do NOT rewrite scripts or print full commansds
- AK/SK/Token MUST be passed via environment variables or hcloud config, NEVER appear in conversation
- NEVER interactively collect Huawei Cloud credentials from users. Credentials MUST be obtained only through:
- hcloud CLI config file (~/.hcloud/config.json) — primary source, auto-detected
- Temporary Security Credentials (STS Token) via environment variables — fallback
- Permanent credentials via environment variables — fallback
JiuwenSwarm Deployment Skill for Huawei Cloud Flexus L Instance
Overview
This skill provides a complete automated deployment solution for the JiuwenSwarm (JiuwenClaw) multi-Agent collaboration platform on Huawei Cloud Flexus L instances. It implements full-process automation from environment preparation to message channel configuration through phased scripts.
Prerequisites
1. Huawei Cloud Account Requirements
- A valid Huawei Cloud account with active subscription
- Sufficient balance or billing method configured
- Flexus L instance quota available in target region (cn-north-4/cn-east-3/cn-south-1/cn-southwest-2)
2. IAM Credentials
- Huawei Cloud Access Key (AK) and Secret Key (SK) with appropriate permissions
- Temporary Security Credentials (STS Token): Supports temporary security credentials. When
HUAWEICLOUD_SDK_SECURITY_TOKENenvironment variable is set along with AK/SK, the skill will use temporary credentials for authentication. - Required IAM permissions: see references/iam-policies.md
3. Environment Requirements
- Python 3.8+ installed with pip
- It is recommended to use a Python virtual environment to avoid system package conflicts:
If you cannot use a virtual environment, you may need to add
python3 -m venv .venv && source .venv/bin/activate--break-system-packageswhen running pip on some newer Linux distributions. - Required Python packages:
requests,huaweicloudsdkcore,huaweicloudsdkcoc - KooCLI (
hcloud) must be installed and available in PATH (used for IAM/RMS queries, see references/api-specs.md)
4. Network Requirements
- Internet access to Huawei Cloud APIs
- Security group rules allowing outbound HTTP/HTTPS traffic (ports 80, 443)
- For web access: Port 5173 needs to be opened in security group after deployment
5. Resource Requirements
- Flexus L instance with minimum specifications:
- Flavor: 2c-4g-50g (2 vCPUs, 4GB RAM, 50GB disk) or higher
- Network: Public IP required
- Supported flavors:
- 2c-4g-50g (2 vCPU 4GB 50GB) - ~60 CNY/month
- 2c-4g-70g (2 vCPU 4GB 70GB) - ~100 CNY/month
- 4c-8g-180g (4 vCPU 8GB 180GB) - ~170 CNY/month
6. Configuration Requirements
- Model API credentials (API_BASE, API_KEY) for LLM integration (required for Phase 6)
- Message channel credentials (Xiaoyi/Feishu/DingTalk) if channel configuration is needed (required for Phase 7)
Architecture Diagram
User/Agent ──────▶│ Flexus L Instance │──────▶│ JiuwenSwarm App │──────▶│ Model Config │ ──────▶│ Channel Config │
(Skill caller) (Target Host) (Multi-Agent Platform) (API_BASE/KEY) (Xiaoyi/Feishu/Dingtalk)
Component Description:
- User/Agent: Skill caller that triggers JiuwenSwarm deployment operations via natural language or API
- Flexus L Instance: Huawei Cloud Elastic Cloud Server, serving as the target host for JiuwenSwarm deployment
- JiuwenSwarm App: Multi-agent collaboration platform running on the Flexus L instance
- Model Config: Configuration for external LLM services (API_BASE, API_KEY, MODEL_NAME, MODEL_PROVIDER)
- Channel Config: Messaging channel configuration (Huawei Xiaoyi, Feishu, Dingtalk)
Skill Responsibilities
Core Functions
- Flexus L Instance Creation - Call Flexus L API to create instances, supporting parameters like instance name, flavor, region, etc.
- Instance Status Query - Query instance status, public IP, instance ID via KooCLI (
hcloud RMS ListAllResources) - COC Remote Deployment - Use Huawei Cloud COC (Cloud Operations Center) to remotely execute deployment scripts on instances
- COC Task Status Query - Query deployment task execution status and results via COC API
- System Service Configuration - Configure systemd service for auto-start on boot
- Model Configuration - Configure API_BASE, API_KEY, MODEL_NAME, MODEL_PROVIDER
- Message Channel Configuration - Support three message channels: Xiaoyi, Feishu, DingTalk
Typical Use Cases
English Examples:
- "Help me deploy JiuwenSwarm to Huawei Cloud"
- "I want to install JiuwenClaw on Flexus L instance"
- "How to add Feishu bot to my JiuwenSwarm?"
- "I want to configure JiuwenSwarm to use custom model"
- "Help me deploy JiuwenSwarm with one click and configure Xiaoyi channel"
工作流
This skill executes deployment in 7 phases. Each phase must complete before the next begins.
Phase 1: Environment Preparation
- Verify Huawei Cloud credentials (AK/SK)
- Set environment variable:
PYTHONIOENCODING=utf-8 - Check dependency modules: requests, huaweicloudsdkcore, huaweicloudsdkcoc, and KooCLI (
hcloud) - Validate credential validity (via KooCLI
hcloud IAM KeystoneListProjects)
Phase 2: Create Flexus L Instance
⚠️ Requires customer confirmation before execution!
- If
--regionparameter not provided, interactively prompt user to select a region from supported options - Display instance configuration to customer (name, flavor, region, estimated cost)
- Wait for customer confirmation (reply "confirm" or "agree")
- After confirmation: Get Project ID (KooCLI) → Call Flexus L create API → Save order_id → Poll RMS via KooCLI for completion (polls every 30 seconds, defaults to 600s/10 minutes timeout, configurable via
--timeout) → Get instance_id, public_ip, ecs_instance_id
Phase 3: COC Remote Dependency Installation
- Execute dependency installation script via COC
- Install base tools: git, curl, vim, wget, net-tools, etc.
- Check Python and Node.js environment
- Wait for completion (~8 minutes). Only retry if script execution errors occur.
Phase 4: COC Remote JiuwenSwarm Service Deployment
- Read deployment script template (assets/deploy_script_template.sh)
- Execute complete deployment script on instance via COC
- Install JiuwenSwarm, configure systemd service, start service
- Wait for completion (~15 minutes). Only retry if script execution errors occur.
Phase 5: Verify Deployment Result
- Query COC deployment task status
- Verify
jiuwenswarmservice is running (systemctl is-active) - Verify
.envhasFRONTEND_HOST=0.0.0.0 - Verify all ports bound to 0.0.0.0: 5173, 18092, 19000, 19001
- Check service health (
curl localhost:5173returns 200) - Output web access URL:
http://{public_ip}:5173 - Remind user to configure security group for external access
Phase 6: Model Configuration
- Interactively collect: API_BASE, API_KEY, MODEL_NAME, MODEL_PROVIDER
- Generate COC remote execution script: backup
.env, update 4 core parameters, set permission 600 - Restart JiuwenSwarm service
Phase 7: Message Channel Configuration
- Select channel type: xiaoyi / feishu / dingtalk
- Collect configuration based on channel type:
- xiaoyi: AK, SK, Agent ID
- feishu: App ID, App Secret
- dingtalk: Client ID, Client Secret, Allow From
- Generate COC remote execution script: backup
config.yaml, update channel fields, set permission 644 - Restart JiuwenSwarm service
COC Task Status Query
Query COC execution status by UUID. Supports single query, verbose output, wait-for-completion, and file loading. See references/verification-method.md for details.
| Status | Description |
|---|---|
| READY | Ready |
| PROCESSING | Running, waiting required |
| FINISHED | Completed successfully |
| ABNORMAL | Execution abnormal, failed |
| CANCELED | Canceled |
核心命令
Environment Setup
# Install dependencies
pip install -r requirements.txt
Credential configuration (choose one):
Option A — hcloud CLI config (recommended, no env vars needed):
hcloud configure set --cli-mode=AKSK --cli-region=cn-north-4 \
--cli-access-key=<your-ak> --cli-secret-key=<your-sk>
# For STS token: also add --cli-security-token=<your-token>
Option B — Environment variables:
export HUAWEICLOUD_SDK_AK=<your-access-key>
export HUAWEICLOUD_SDK_SK=<your-secret-key>
export HUAWEICLOUD_SDK_SECURITY_TOKEN=<your-security-token> # STS only
export HUAWEICLOUD_REGION="cn-north-4"
Deployment Commands
# 1. Environment preparation
python scripts/prepare_env.py
# 2. Create instance (interactive confirmation)
python scripts/create_instance.py --name jiuwenSwarm-<timestamp> --flavor 2c-4g-50g --wait
# 3. Install dependencies
python scripts/install_deps.py --ip <public_ip>
# 4. Deploy service
python scripts/deploy_service.py --ip <public_ip>
# 5. Verify deployment
python scripts/verify_deployment.py --ip <public_ip>
# 6. Configure model
python scripts/config_model.py --ip <public_ip> --interactive
# 7. Configure message channel
python scripts/config_channel.py --channel xiaoyi --ip <public_ip> --interactive
# 8. Query COC task status
python scripts/query_coc_status.py --uuid <execute_uuid> --verbose
COC Status Query Commands
# Query single task status
python scripts/query_coc_status.py --uuid <execute_uuid>
# Wait for task completion with custom timeout
python scripts/query_coc_status.py --uuid <execute_uuid> --wait --timeout 3600 --interval 30
# Load UUID from JSON file
python scripts/query_coc_status.py --from-file new_instance_info.json
参数确认
⚠️ Customer Confirmation Required
Before executing any cloud resource creation operations, explicit customer consent must be obtained!
| Operation | Confirmation Required |
|---|---|
| Create new Flexus L instance | Required |
| Deploy application on existing instance | Required |
| Modify cloud resource configuration | Required |
Confirmation Template:
============================================================
⚠️ Cloud Resource Creation Confirmation
============================================================
Operation to be executed: Create new Flexus L instance
Instance Specifications:
- Name: {instance_name}
- Flavor: {flavor} (2c-4g-50g ~60 CNY/month / 2c-4g-70g ~100 CNY/month / 4c-8g-180g ~170 CNY/month)
- Region: {region}
- Estimated Cost: Calculated based on selected flavor
Resources will be created immediately after confirmation.
Please reply "confirm" or "agree" to continue.
============================================================
User-Configurable Parameters
create_instance.py
| Parameter | Description | Default Value |
|---|---|---|
| --name | Instance name | jiuwenSwarm-{timestamp} |
| --flavor | Instance flavor (2c-4g-50g / 2c-4g-70g / 4c-8g-180g) | 2c-4g-50g |
--region | Region (cn-north-4/cn-east-3/cn-south-1/cn-southwest-2). If not specified, interactive selection will be shown. | (Interactive) |
--wait | Wait for creation completion (polls RMS every 30s for instance status) | False |
| --timeout | Maximum time to wait in seconds when --wait is used | 600 (10 minutes) |
| --confirm | Skip confirmation prompt | False |
deploy_service.py
| Parameter | Description | Default Value |
|---|---|---|
| --ip | Instance public IP | Required |
| --wait | Wait for deployment completion | True |
| --timeout | Timeout in seconds | 1800 |
config_model.py
| Parameter | Description |
|---|---|
| --api-base | Model API URL |
| --api-key | Model API key |
| --model-name | Model name |
| --model-provider | Model provider |
| --ip | Instance public IP |
| --interactive | Interactive configuration |
config_channel.py
| Parameter | Description |
|---|---|
| --channel | Channel type (xiaoyi/feishu/dingtalk) |
| --ip | Instance public IP |
| --interactive | Interactive configuration |
query_coc_status.py
| Parameter | Description | Default Value |
|---|---|---|
| --uuid, -u | COC execution UUID | Required |
| --from-file, -f | Read UUID from JSON file | - |
| --key, -k | UUID key name in JSON file | execute_uuid |
| --verbose, -v | Show detailed output | False |
| --wait, -w | Wait for task completion | False |
| --timeout, -t | Wait timeout in seconds | 1800 |
| --interval, -i | Polling interval in seconds | 60 |
Directory Structure
huawei-cloud-flexus-l-deploy-jiuwenswarm/
├── SKILL.md # Skill documentation
├── requirements.txt # Python dependency list
├── scripts/ # Phased deployment scripts
│ ├── utils.py # Utility functions
│ ├── prepare_env.py # Environment preparation
│ ├── create_instance.py # Create Flexus L instance
│ ├── install_deps.py # COC remote dependency installation
│ ├── deploy_service.py # COC remote service deployment
│ ├── verify_deployment.py # Verify deployment result
│ ├── config_model.py # Model configuration
│ ├── config_channel.py # Message channel configuration
│ └── query_coc_status.py # COC task status query
├── assets/ # Template files
│ ├── deploy_script_template.sh # Deployment script template
│ ├── jiuwenswarm.service.template # systemd service template
│ ├── config_template.yaml # Configuration template
│ └── env_template.env # Environment variable template
└── references/ # Reference documents
├── api-specs.md # API specifications
├── deployment-checklist.md # Deployment checklist
├── iam-policies.md # IAM policies
├── verification-method.md # Verification methods
├── acceptance-criteria.md # Acceptance criteria
└── troubleshooting.md # Troubleshooting guide
Web UI Access
Web UI access requires two conditions:
- Service bound to 0.0.0.0 (configured via
.envFRONTEND_HOST=0.0.0.0) - Security group allows port 5173 (configured in Huawei Cloud Console)
.env Configuration (Service-side)
The .env file at /root/.jiuwenswarm/config/.env must use the correct variable names:
| .env Variable | Purpose | Required Value |
|---|---|---|
FRONTEND_HOST | Frontend HTTP bind | 0.0.0.0 |
FRONTEND_PORT | Frontend HTTP port | 5173 |
WEB_HOST | WebChannel bind | 0.0.0.0 |
AGENT_SERVER_HOST | AgentServer bind | 0.0.0.0 |
GATEWAY_HOST | Gateway bind | 0.0.0.0 |
Security Group Configuration (Cloud-side)
- Login to Flexus L Console
- Find your JiuwenSwarm instance → instance details → Security/Network
- Configure security group rules to open port 5173 (TCP inbound)
Access URL: http://<instance_public_ip>:5173
Security Warning: After opening the port, JiuwenSwarm Web interface will be accessible. Please evaluate security risks before enabling. It is recommended to open temporarily only when needed and close after use.
Huawei Cloud Credential Configuration
Credential priority: hcloud config file → environment variables.
Option 1: hcloud CLI Config File (Recommended)
Credentials are read from ~/.hcloud/config.json. If encryption is enabled (authEncrypt=true), the script automatically disables it to read plaintext values.
# Permanent credentials
hcloud configure set --cli-mode=AKSK --cli-region=cn-north-4 \
--cli-access-key=<AK> --cli-secret-key=<SK>
# Temporary credentials (STS Token)
hcloud configure set --cli-mode=AKSK --cli-region=cn-north-4 \
--cli-access-key=<AK> --cli-secret-key=<SK> --cli-security-token=<TOKEN>
No environment variables needed — the script reads directly from the config file.
Option 2: Environment Variables (Fallback)
| Environment Variable | Description | Required |
|---|---|---|
HUAWEICLOUD_SDK_AK | Access Key (permanent or temporary) | Yes |
HUAWEICLOUD_SDK_SK | Secret Key (permanent or temporary) | Yes |
HUAWEICLOUD_SDK_SECURITY_TOKEN | Security Token (STS only) | No |
HUAWEICLOUD_REGION | Huawei Cloud Region (default: cn-north-4) | No |
Reference: https://support.huaweicloud.com/iam_faq/iam_01_0620.html
Key API Endpoints
| Service | Endpoint | Purpose |
|---|---|---|
| Flexus L | https://hcss.{region}.myhuaweicloud.com/v1/light-instances | Create/query instances |
| IAM | KooCLI: hcloud IAM KeystoneListProjects --cli-region=<region> [--name=<region>] | Get Project ID / domain ID (global service, hcloud auto-resolves domain ID with valid credentials) |
| RMS | KooCLI: hcloud RMS ListAllResources --cli-region=cn-north-4 --cli-domain-id=<domain_id> [--region_id=<region>] [--type=hcss.l-instance] | Query resources (global service: always use unified cn-north-4 endpoint, filter by target region via region_id param) |
| COC | https://coc.myhuaweicloud.com/v1/job/scripts/{script_uuid} | Remote script execution (global service: SDK client always uses cn-north-4 endpoint, each target instance's region is carried in the request body) |
Supported Regions: cn-north-4 (North Beijing 4), cn-east-3 (East Shanghai 1), cn-south-1 (South Guangzhou), cn-southwest-2 (Southwest Guiyang 1)
System Image: Ubuntu 24.04 LTS
Output Standards
Success Output Template
============================================================
JiuwenSwarm COC Deployment - Complete
============================================================
Target Instance:
Name: {instance_name}
ID: {instance_id}
IP: {public_ip}
COC Execution:
Execute UUID: {execute_uuid}
Status: FINISHED
Deployment Result:
Web Access: http://{public_ip}:5173
Port Binding: 0.0.0.0:5173 (verified)
Submit Time: {submit_time}
NOTE: Huawei Cloud security group must allow inbound TCP 5173
for external web access. Configure at:
https://console.huaweicloud.com/smb/?/resource/list
============================================================
[SUCCESS] Deployment task completed!
============================================================
Error Output Template
============================================================
[ERROR] Deployment Failed
============================================================
Error: {error_message}
Suggestions:
1. Check Huawei Cloud credentials
2. Verify instance status
3. Check deployment logs
============================================================
参考文档
The following reference documents provide detailed information for this skill:
| Document | Description |
|---|---|
| references/api-specs.md | API specifications for Huawei Cloud services (Flexus L, IAM, RMS, COC) |
| references/iam-policies.md | IAM permission policies and policy JSON for deployment |
| references/deployment-checklist.md | Pre/post deployment checklist for all phases |
| references/verification-method.md | Verification methods and acceptance testing procedures |
| references/acceptance-criteria.md | Acceptance criteria and sign-off requirements |
| references/troubleshooting.md | Troubleshooting guide for common deployment issues |
FAQ
What does the huawei-cloud-flexus-l-deploy-jiuwenswarm skill do?
One-click deployment of JiuwenSwarm multi-Agent collaboration platform on Huawei Cloud Flexus L instances. Usage scenarios: When users need to quickly deploy JiuwenSwarm/JiuwenClaw on Huawei Cloud Flexus L instances, when they need to automatically create cloud instances and deploy AI Agent platforms, when they need to configure model APIs and message channels (Xiaoyi/Feishu/DingTalk). Automatically create instances, deploy applications via COC, configure models and message channels. Trigger keywords: JiuwenSwarm deployment, JiuwenClaw deployment, 九问Swarm部署, 九问Claw部署, 一键部署JiuwenSwarm, AI智能体平台部署, 部署九问Swarm, 部署九问Claw,云服务器部署AI平台.
How do I install huawei-cloud-flexus-l-deploy-jiuwenswarm?
Run npx skills add https://github.com/huaweicloud/huaweicloud-skills --skill huawei-cloud-flexus-l-deploy-jiuwenswarm 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/huawei-cloud-flexus-l-deploy-jiuwenswarm/ (personal) or .claude/skills/huawei-cloud-flexus-l-deploy-jiuwenswarm/ (project).
Which AI agents can use huawei-cloud-flexus-l-deploy-jiuwenswarm?
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 huawei-cloud-flexus-l-deploy-jiuwenswarm safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains huawei-cloud-flexus-l-deploy-jiuwenswarm?
It is published by huaweicloud in huaweicloud/huaweicloud-skills. It has 253 recorded installs.
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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.