metadata
language:
- en
license: apache-2.0
size_categories:
- 100K<n<1M
task_categories:
- text-generation
- question-answering
tags:
- devops
- kubernetes
- infrastructure
- sft
- synthetic
- ci-cd
- helm
- terraform
- gitops
- argocd
pretty_name: DevOps and Kubernetes SFT 100K
DevOps and Kubernetes SFT 100K
A synthetic supervised fine-tuning dataset of 100,000 high-quality DevOps and Kubernetes conversations designed to train AI assistants capable of supporting platform engineers, SREs, and DevOps practitioners.
Dataset Description
This dataset covers production-grade Kubernetes operations, cloud infrastructure, CI/CD pipelines, GitOps workflows, and platform engineering across 13 specialized categories. Each record follows the ShareGPT conversation format with practical, copy-paste-ready examples.
Categories
| Category | Description |
|---|---|
kubernetes_troubleshooting |
Pod debugging, CrashLoopBackOff, pending pods |
kubernetes_networking |
Ingress, Services, NetworkPolicies, DNS |
kubernetes_security |
RBAC, PodSecurity, NetworkPolicy, secrets management |
kubernetes_storage |
PVCs, StatefulSets, StorageClasses, volume snapshots |
kubernetes_autoscaling |
HPA, VPA, KEDA, Cluster Autoscaler |
kubernetes_debugging |
Ephemeral containers, network debugging, pprof |
kubernetes_cost_optimization |
Right-sizing, Spot instances, waste identification |
ci_cd_pipelines |
GitHub Actions, Docker build, deployment pipelines |
infrastructure_as_code |
Terraform, EKS, VPC, IRSA |
helm_charts |
Helm chart creation, lifecycle hooks, best practices |
gitops_argocd |
ArgoCD, multi-environment promotion, App of Apps |
monitoring_observability |
Prometheus, Grafana, SLO alerting, kube-prometheus-stack |
devops_platform_engineering |
IDP, Backstage, Crossplane, ephemeral environments |
Format
ShareGPT format:
{
"conversations": [
{"from": "human", "value": "...DevOps question..."},
{"from": "gpt", "value": "...structured answer with code examples..."}
],
"metadata": {"category": "...", "context": "..."},
"id": "uuid"
}
Use Cases
- Fine-tuning AI coding assistants for platform engineering
- SRE and DevOps chatbot development
- Kubernetes operational runbook automation
- Internal developer platform AI agents
- DevOps training and certification preparation
Quality Notes
All responses include working code examples, production-ready configurations, and best practice guidance. YAML, shell commands, and Terraform examples are copy-paste ready.