cloud-devops

Solid

Cloud infrastructure and DevOps workflow covering AWS, Azure, GCP, Kubernetes, Terraform, CI/CD, monitoring, and cloud-native development.

DevOps & Infrastructure 335 stars 29 forks Updated today

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Quality Score: 85/100

Stars 20%
84
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
80
License 10%
0
Description 5%
100

Skill Content

# Cloud/DevOps Workflow Bundle ## Overview Comprehensive cloud and DevOps workflow for infrastructure provisioning, container orchestration, CI/CD pipelines, monitoring, and cloud-native application development. ## When to Use This Workflow Use this workflow when: - Setting up cloud infrastructure - Implementing CI/CD pipelines - Deploying Kubernetes applications - Configuring monitoring and observability - Managing cloud costs - Implementing DevOps practices ## Workflow Phases ### Phase 1: Cloud Infrastructure Setup #### Skills to Invoke - `cloud-architect` - Cloud architecture - `aws-skills` - AWS development - `azure-functions` - Azure development - `gcp-cloud-run` - GCP development - `terraform-skill` - Terraform IaC - `terraform-specialist` - Advanced Terraform #### Actions 1. Design cloud architecture 2. Set up accounts and billing 3. Configure networking 4. Provision resources 5. Set up IAM #### Copy-Paste Prompts ``` Use @cloud-architect to design multi-cloud architecture ``` ``` Use @terraform-skill to provision AWS infrastructure ``` ### Phase 2: Container Orchestration #### Skills to Invoke - `kubernetes-architect` - Kubernetes architecture - `docker-expert` - Docker containerization - `helm-chart-scaffolding` - Helm charts - `k8s-manifest-generator` - K8s manifests - `k8s-security-policies` - K8s security #### Actions 1. Design container architecture 2. Create Dockerfiles 3. Build container images 4. Write K8s manifests 5. Deploy to cluster 6. Configu...

Details

Author
aiskillstore
Repository
aiskillstore/marketplace
Created
5 months ago
Last Updated
today
Language
Python
License
None

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