Edka
10 sections. Edka isn't messing around.
Edka is revolutionizing cloud infrastructure with its efficient Kubernetes solutions. By leveraging Hetzner, they offer a way to deploy powerful clusters swiftly, slashing costs and eliminating vendor lock-in. It’s all about control and performance!
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Edka's llms.txt Insights
Overachiever
10 sections. Most sites can barely manage 3. This one went all in.
Goldilocks zone
69 lines — not too long, not too short. AI loves this.
What's inside Edka's llms.txt
Edka's llms.txt contains 11 sections:
- Edka
- Key Benefits:
- Features:
- How It Works
- Documentation
- Blog Posts
- Kubernetes Add-ons
- Applications
- Resources
- Company Resources
- Optional
How does Edka's llms.txt compare?
| Edka | Directory Avg | Top Performer | |
|---|---|---|---|
| Lines | 69 | 1029 | 163,447 |
| Sections | 10 | 17 | 3207 |
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Edka's llms.txt preview
First 69 of 69 lines
# Edka
> Production-ready Kubernetes clusters on your own Hetzner account. Cut your cloud costs by 70% while keeping full control.
Last updated: 2026-02-19
Provision, scale, and manage your Kubernetes clusters on Hetzner with GitOps workflows, one-click add-ons, and built-in monitoring.
## Key Benefits:
- Reduce cloud infrastructure costs by up to 70% using Hetzner's competitive pricing
- Maintain full root access and control over your infrastructure
- Deploy production ready Kubernetes clusters in under 2 minutes
- Eliminate complexity with preconfigured add-ons and automated deployments
- Exit anytime - no vendor lock-in, keep full access to your infrastructure
## Features:
- K3s-based lightweight Kubernetes clusters optimized for performance
- One-click deployment of essential add-ons (cert-manager, metrics-server, Gateway API controllers)
- Automated application deployments with semantic versioning and instant rollbacks
- Built-in GitOps workflows for infrastructure as code
- Integrated monitoring, logging, and alerting out of the box
- Autoscaling, persistent volumes, and secrets management
- Minimal configuration UIs for databases, monitoring stacks, and more
## How It Works
- **Layer 1 - Cluster Provisioning**: Creates optimized K3s clusters on your own Hetzner infrastructure
- **Layer 2 - Add-ons**: One-click deploy essential Kubernetes operators and tools
- **Layer 3 - Applications**: Deploy databases, monitoring, and services with minimal config
- **Layer 4 - Deployments**: Automated updates, rollbacks, scaling, and traffic management
## Documentation
- [Documentation](https://edka.io/docs/): Complete guide to using Edka
- [Getting Started](https://edka.io/docs/get-started/): Quick start tutorials
## Blog Posts
- [GitHub Deployments, Preview Environments and Wildcard TLS](https://edka.io/blog/branch-deployments-previews-tls/): Git-based branch deployments with PR previews and managed wildcard TLS for domains
- [MySQL on Edka with MOCO](https://edka.io/blog/mysql-ha-with-moco/): Highly available MySQL clusters with backups and point-in-time recovery powered by the MOCO operator
- [Join Our Beta Today](https://edka.io/blog/join-our-beta/): Public beta of Edka platform - deploy your application in minutes with one free cluster
## Kubernetes Add-ons
- [Cert Manager](https://edka.io/add-ons/cert-manager/): Automate TLS certificate issuance and renewal across Kubernetes
- [Envoy Gateway](https://edka.io/add-ons/envoy-gateway/): Managed Gateway API controller with public and private entry points for Kubernetes workloads
- [Nginx Ingress](https://edka.io/add-ons/nginx/): Legacy ingress controller support for workloads that still rely on Kubernetes Ingress resources
- [Metrics Server](https://edka.io/add-ons/metrics-server/): Enable resource metrics and autoscaling in Kubernetes with CPU and memory metrics
- [Keel](https://edka.io/add-ons/keel/): Automate Kubernetes deployments with automated updates and continuous delivery
- [External Secrets](https://edka.io/add-ons/external-secrets/): Securely sync secrets from AWS Secrets Manager, Vault, GCP Secret Manager and more
- [CloudNative PG](https://edka.io/add-ons/cloudnative-pg/): Production-grade PostgreSQL operator with automated failover, backups, and high availability
## Applications
- [PostgreSQL](https://edka.io/apps/postgresql/): Production-ready PostgreSQL database with automated backups and high availability (Free plan)
- [Redis Stack](https://edka.io/apps/redis-stack/): High-performance in-memory data store with caching and real-time analytics (Free plan)
- [Prometheus Stack](https://edka.io/apps/prometheus-stack/): Complete monitoring and alerting with Prometheus, Grafana, and AlertManager (Standard plan)
- [Elasticsearch](https://edka.io/apps/elasticsearch/): Distributed search and analytics engine for real-time data exploration (Pro plan)
- [Varnish Cache](https://edka.io/apps/varnish/): Kubernetes-native HTTP caching with automatic service discovery (Pro plan)
- [WordPress](https://edka.io/apps/wordpress/): Popular CMS platform with MySQL database for websites and blogs (Pro plan)
## Resources
- [Changelog](https://edka.io/changelog/): Latest features and improvements
- [Pricing](https://edka.io/pricing/): Simple, transparent pricing starting free
- [Contact Sales](https://edka.io/contact/): Talk to our team
## Company Resources
- [Contact](https://edka.io/contact/): Get in touch with us
- [Privacy](https://edka.io/privacy-policy/): Privacy policy
- [Terms](https://edka.io/terms-conditions/): Terms of service
## Optional
- [llms-full.txt](https://edka.io/llms-full.txt): Extended version with full content descriptions
What is llms.txt?
llms.txt is an open standard that helps AI language models understand your website. By placing a structured markdown file at /llms.txt, websites provide AI search engines like ChatGPT, Claude, and Perplexity with a clear map of their content, services, and documentation. Companies like Edka use it to ensure AI accurately represents their brand when answering user queries. Read the spec.
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