ConfigGenerator

Kubernetes StatefulSet Generator (Beta)

Generate basic Kubernetes StatefulSet manifests for stateful applications. Configure replicas, containers, volume claims, and Headless Services.

Output:A ready-to-use configuration file for Kubernetes StatefulSet (Beta) with best practices applied.

Metadata

Specification

A headless Service (clusterIP: None) must exist with this name

Containers

Kubernetes StatefulSet Generator

What is this tool?

Generate Kubernetes StatefulSet manifests. Unlike a Deployment, a StatefulSet maintains a sticky identity for each of its Pods, making it ideal for databases (PostgreSQL, MySQL, MongoDB) and distributed systems (Kafka, ZooKeeper).

Testing Instructions

  • Validate against Kubernetes schemas:
  • kubeconform -strict statefulset.yaml
  • Dry-run against your cluster:
  • kubectl apply --dry-run=client -f statefulset.yaml

Frequently Asked Questions

Why use a StatefulSet instead of a Deployment?
Deployments treat Pods as stateless and interchangeable. StatefulSets guarantee stable, unique network identifiers via a Headless Service, making them ideal for databases and distributed systems that require stable pod identity.
What is a volumeClaimTemplate?
A volumeClaimTemplate automatically provisions a PersistentVolumeClaim (PVC) for every replica in the StatefulSet. Each replica gets its own dedicated PVC with stable, unique storage. Configure storage size, access modes, and storage class in the Volume Claim Templates section.
How do I add liveness and readiness probes?
Switch to Advanced or Expert mode to configure startup, liveness, and readiness probes for your containers.
How do I set environment variables from ConfigMaps or Secrets?
Currently, you must manually edit the generated YAML to add valueFrom configuration for ConfigMaps and Secrets. Full support for these features, as well as advanced scheduling (affinity/tolerations), is planned for a future release.

How We Keep Your Configs Safe & Valid

Built-in Error Checking

Every file is checked against official rules. We catch missing fields and bad syntax. YAML indentation errors are flagged right away. Kubernetes, Terraform, and Docker specs are all covered. API versions and labels are verified too. You get valid output every time you generate.

100% Private & Local

All tools run in your browser only. Your API keys never leave your machine. We do not use any tracking scripts. No data is sent to any server. Passwords and secrets stay on your device. Crypto operations use the Web Crypto API. Your privacy is fully protected at all times.

Secure Settings by Default

Configs use safe defaults out of the box. Containers run as non-root users. Root filesystems are set to read-only. Dangerous Linux capabilities are dropped. Network policies limit pod-to-pod traffic. TLS 1.3 is enabled for web servers. Security headers are added where needed.

Ready for CI/CD & Git

Output files are ready for your Git repo. Use them with ArgoCD, Flux, or GitHub Actions. Files use clear formatting and comments. Code review is easy for your team. Indentation and key order are consistent. Test in staging before going to production. Every file is clean and well-structured.

Infrastructure as Code

Store configs in Git alongside your code. Terraform modules include typed variables. Backend configs support remote state locking. Outputs work across multiple modules. Ansible playbooks use clear task steps. Chef and Puppet configs are also supported. Every file works with version control tools.

Monitoring & Tracing

Set up Prometheus with auto-discovery rules. Create Grafana dashboards with template variables. Add alerting rules with severity labels. Use OpenTelemetry for trace collection. Forward logs to Loki or Elasticsearch. Connect to Jaeger or Tempo for tracing. Monitor metrics, logs, and traces together.

Container & Docker Safety

Dockerfiles use multi-stage builds for small images. Base images are pinned to exact versions. Dev files are excluded from final images. Health checks are added for orchestrator use. Containers switch to non-root users. Docker Compose uses named volumes and networks. Resource limits are set in deploy configs.

Multiple Output Formats

Export as YAML, JSON, HCL, or TOML. Kubernetes uses YAML with proper separators. Terraform uses HCL with correct escaping. JSON output has consistent indentation. Copy to clipboard with one click. Preview output with syntax highlighting. Line numbers help you review quickly.