I will deploy coolify, dokploy, caprover, dokku, kubernetes, vllm gpu deployment for ai
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About this Gig
Need reliable infrastructure for your SaaS or AI application? I deploy Coolify, Dokploy, CapRover, Dokku and Kubernetes for self-hosted production environments.
Get Docker deployments, secure routing, backups, monitoring and vLLM GPU inference configured to your requirements.
What I Deploy:
- Coolify deployment
- Dokploy setup
- CapRover deployment
- Dokku deployment
- self-hosted PaaS setup
- VPS application migration
- Docker Compose deployment
- Git-based deployment
- Docker container deployment
- Docker networking setup
- Traefik reverse proxy
- Nginx reverse proxy
- SSL certificate configuration
- CI/CD pipeline setup
- GitHub Actions deployment
- container registry setup
- Kubernetes cluster setup
- Kubernetes production deployment
- Helm chart deployment
- Kubernetes ingress setup
- Kubernetes secrets management
- Kubernetes autoscaling
- Kubernetes monitoring
- Kubernetes cluster migration
- vLLM deployment
- GPU inference server
- LLM inference endpoint
- private LLM deployment
- OpenAI compatible API setup
- multi GPU inference
- CUDA container configuration
- GPU memory opt
- Prometheus Grafana monitoring
- zero downtime migration
From a single VPS to multi server infrastructure, every engagement starts with a clearly defined scope.
Other DevOps Engineering Services I Offer
FAQ
Can you deploy my AI model using vLLM?
Yes, for compatible models and infrastructure. Please provide your model details, GPU specifications, VRAM capacity, expected traffic, and inference requirements so feasibility can be assessed first.
Can you migrate my application from another hosting provider?
Yes. Migration scope depends on your source environment, application architecture, data volume, dependencies, and acceptable downtime.
Will you configure security, HTTPS, backups, and monitoring?
These can be included according to your package and agreed scope. Advanced security audits and complex disaster recovery implementations require separate assessment.
Can you configure a Kubernetes cluster for production?
Yes, where the requested architecture matches my demonstrated capabilities. Cluster size, networking, storage, access control, and availability requirements must be established before work begins.
Can you deploy on my existing VPS or dedicated GPU server?
Yes, subject to provider compatibility, operating system, available resources, network access, and the server's existing configuration.

