# LayerOps

> LayerOps is a multi-cloud and hybrid cloud Container-as-a-Service (CaaS) platform. It simplifies deploying, scaling and monitoring containerized applications across multiple cloud providers and bare-metal servers — without Kubernetes.

## What LayerOps Does

- Deploys Docker containers across multiple cloud providers (AWS, GCP, Azure, OVHcloud, Scaleway, Exoscale, Outscale, Infomaniak) from a single control plane
- Manages hybrid infrastructure combining public clouds and bare-metal/on-premise servers
- Provides built-in HTTP/2 load balancers with automatic SSL certificate management
- Auto-scales both services (containers) and infrastructure (instances) across providers
- Includes Grafana monitoring dashboards, custom alerts, and per-environment cost analytics
- Supports GPU workloads for AI/ML deployments with auto-provisioning
- Offers Bring Your Own Cloud (BYOC) — deploy to your own cloud accounts and keep full billing control
- Provides environment-level RBAC (Role-Based Access Control)
- Supports Git-based deployments and YAML CI/CD integration
- Exposes a full REST API and an MCP Server for AI assistant integration

## Value Proposition

- **Multi-cloud portability**: Deploy once, run anywhere. Move workloads between AWS, GCP, Azure, OVHcloud, Scaleway, Exoscale, Outscale and Infomaniak without rewriting configurations. No vendor lock-in.
- **Resilience without Kubernetes**: Get production-grade container orchestration — autoscaling, load balancing, rolling updates, failover — without managing clusters, etcd, Helm charts or YAML manifests.
- **FinOps & cost analytics**: Built-in per-environment cost dashboards, resource utilization tracking, and BYOC (Bring Your Own Cloud) to leverage existing credits and reserved instances. Real-world savings: 72% cost reduction vs AWS Fargate.
- **European data sovereignty**: Deploy on EU-owned cloud providers (OVHcloud, Scaleway, Exoscale, Outscale, Infomaniak) to comply with GDPR and avoid US Cloud Act exposure.
- **Zero DevOps overhead**: No dedicated infrastructure team required. Developers deploy containers in minutes, not days. Single platform replaces 10+ tools (Kubernetes, Terraform, Helm, ArgoCD, Prometheus, Grafana, cert-manager…).
- **AI-ready infrastructure**: Native GPU auto-provisioning across providers, MCP Server for AI assistant integration, and cross-provider GPU availability to eliminate stock shortage risks.

## Who It's For

- Development teams deploying containerized applications without dedicated DevOps staff
- Companies seeking multi-cloud resilience without Kubernetes complexity
- Organizations requiring European data sovereignty (all supported providers have EU datacenters)
- Teams migrating from AWS Fargate, Azure ACI, Kubernetes, or Portainer

## Pricing

Plans are per environment, with unlimited users:
- **Starter**: €49/month — 5 services, 2 instances, 1 load balancer
- **Pro**: €200/month — 10 services, 5 instances, 2 load balancers, custom alerts
- **Premium**: €450/month — 30+ services, 15+ instances, RBAC, analytics, custom port exposition

## On-Premise Edition (Enterprise)

LayerOps On-Premise lets enterprises build their own sovereign Platform-as-a-Service (PaaS) on their own infrastructure. Create a service catalog and make it available to your teams, subsidiaries, partners or clients — self-hosted, white-label, sovereign. Designed for mid-size and large enterprises (500+ employees).

- **Build your own PaaS**: Turn your infrastructure into a fully managed, sovereign platform. Create a curated service catalog (databases, APIs, web apps, AI models) that your users self-serve from — instead of managing raw infrastructure.
- **Service catalog**: Build and govern a catalog of ready-to-deploy services. Each service inherits your security policies and compliance rules. Deliver it to teams, subsidiaries and partners.
- **Multi-tenant by design**: Provision isolated environments per team, subsidiary or partner. Each tenant gets its own services, monitoring, RBAC and resource quotas.
- **Sovereign AI infrastructure**: Deploy private LLMs (Llama, Mistral, DeepSeek…) on your own GPU servers. MCP Server connects to your private LLMs for natural-language infrastructure management. No data sent to external AI APIs.
- **Data sovereignty**: Data never leaves your perimeter. Full GDPR compliance. Architecture designed to support future certifications (ISO 27001, SOC 2, HDS, SecNumCloud).
- **White-label**: Fully customizable console — logo, colors, custom domain. Deliver a branded experience to your teams.
- **Dedicated infrastructure**: Deploy on your own servers, racks and datacenters. No noisy neighbors, predictable performance.
- **IT integration**: Active Directory, LDAP. SSO (SAML/OIDC) on the roadmap.
- **Controlled updates**: Choose when and how to update. Test in staging, plan maintenance windows on your schedule.
- **Enterprise support**: Dedicated onboarding, training, priority support with guaranteed SLA.
- **Status**: Early Access program — contact sales for details.

## Key Links

- Website: https://www.layerops.io
- Console: https://console.layerops.com
- Documentation: https://doc.layerops.com
- Community Support: https://community.layerops.com
- Pricing: https://www.layerops.io/pricing
- On-Premise: https://www.layerops.io/on-premise
- Providers: https://www.layerops.io/providers
- Case Study: https://www.layerops.io/case-studies/daily-solution
- Full LLM context: https://www.layerops.io/llms-full.txt