Unplanned downtime
Strongly reduced thanks to High Availability Kubernetes and automatic failoverManaged service
Managed high-availability infrastructure for critical applications
If downtime costs you money, reputation or users, a single server is not enough. FRAI designs and manages High Availability Kubernetes (K3s) infrastructure for production systems: automatic failover, zero-downtime deployments and resilient operations — all built as code and operated for you.
Custom software built, operated, and improved by FRAI. AI is included only where it improves a defined workflow.
Deployment risk
Minimized with GitOps and zero-downtime rolling updatesOperational reliability
Production-grade stability without internal Kubernetes expertise01 — The constraint
Problems We Solve
Recognize the operational friction before choosing another tool.
- 01
Your website or application is business-critical and downtime directly impacts revenue or lead generation.
- 02
You rely on a single server without automatic failover or a tested disaster-recovery plan.
- 03
Deployments cause outages, stress or late-night interventions.
- 04
You need production-grade reliability but do not want to manage Kubernetes yourself.
- 05
You want predictable uptime without hiring an internal DevOps team.
02 — The system
What This Service Does for You
Designed as a maintainable operating capability, not a disconnected feature.
01
High Availability Kubernetes architecture with no single point of failure
We design and deploy High Availability Kubernetes (K3s) clusters with multiple nodes working together. If a server fails, workloads are rescheduled automatically and traffic is redirected without downtime.
02
Zero-downtime deployments with GitOps
Your application is deployed using GitOps. Changes in Git trigger controlled, rolling updates so new versions go live without interrupting users or traffic.
03
Infrastructure as Code for predictable operations
All infrastructure is defined using Terraform and Git-based configuration. Servers, networking and clusters are reproducible, auditable and easy to redeploy — no hidden manual steps.
04
Managed Kubernetes without the complexity
FRAI operates the Kubernetes platform for you: cluster health, upgrades, configuration and operational stability. You use Kubernetes benefits without carrying Kubernetes operational risk.
05
Built for production workloads
This service is designed for live production systems where uptime, reliability and controlled change matter. It is a production-ready Kubernetes platform, not a lab setup.
03 — Delivery
How We Build Your High Availability Kubernetes Platform
A visible sequence from scope to operation, with responsibility clear at every step.
- 01
Application and uptime analysis
We review how your application works, traffic patterns, critical paths and acceptable downtime to define a High Availability Kubernetes strategy.
- 02
HA Kubernetes architecture design
We design the K3s cluster, networking, load balancing and failover mechanisms required to eliminate single points of failure.
- 03
Infrastructure as Code implementation
Using Terraform and Git, we define all infrastructure components so the environment can be deployed or recreated in a predictable way.
- 04
GitOps-based application deployment
Your application is deployed and updated via GitOps, enabling safe, repeatable and zero-downtime releases.
- 05
Failover and deployment testing
We validate failover behavior, rolling updates and recovery scenarios to ensure the platform behaves correctly under stress.
- 06
Go-live and managed operations
The system goes live and FRAI manages the Kubernetes platform, ensuring stability, availability and controlled evolution.
04 — Commercial signal
Expected Results
Operating indicators and targets are defined against your baseline, scope, and measurement period.
Unplanned downtime
Deployment risk
Operational reliability
Scalability
DevOps workload
05 — Operating fit
Where the service connects and creates value
Integrations & Capabilities
Connected systems and capabilities
- 01
High Availability Kubernetes (K3s) clusters for production.
- 02
Infrastructure as Code using Terraform.
- 03
GitOps Kubernetes deployments.
- 04
Load balancers and ingress controllers.
- 05
Zero-downtime rolling updates.
- 06
Automatic failover and self-healing workloads.
- 07
Cloud and VPS providers such as Hetzner, OVH and DigitalOcean.
- 08
Fully managed Kubernetes operations by FRAI.
Best-fit use cases
- 01
Revenue-driving websites where downtime means lost sales or leads.
- 02
SaaS platforms requiring continuous availability during deployments.
- 03
Marketplaces, booking systems or funnels with high traffic peaks.
- 04
Automation platforms and APIs that must remain online 24/7.
- 05
Founders and teams who need managed Kubernetes without hiring DevOps engineers.
06 — Commercial boundary
Where this service fits — and where it does not
A useful service page should make the buying boundary explicit before a proposal is discussed.
Best fit
- 01
Applications where measured downtime has material operational or revenue impact.
- 02
Teams prepared to fund redundancy, tested failover and ongoing operational complexity.
Not the right fit
- 01
Low-impact websites that can recover acceptably from a single managed server.
- 02
Projects without defined recovery objectives, monitoring or failure-testing ownership.
07 — Applied contexts
Examples by Sector
The same operating logic, adapted to the constraints and decisions of each sector.
SaaS & Tech Startups
Run production workloads on High Availability Kubernetes from day one.
E-commerce & Lead Generation
Protect revenue-critical traffic during promotions, ads and launches.
Digital Platforms
Ensure consistent uptime for user-facing applications and dashboards.
Automation-Driven Businesses
Operate n8n-based automation and orchestration platforms with failover.
Internal Business Systems
Keep critical internal tools available without single-server risk.
Agencies & Service Providers
Offer clients enterprise-grade reliability without building infrastructure in-house.
08 — Decision support
Comparisons
A practical view of what changes when the service is built around your workflow.
Single server vs High Availability Kubernetes (K3s)
- Single server: one failure brings everything down. — HA Kubernetes: automatic failover keeps services online.
- Single server: manual recovery. — HA Kubernetes: self-healing workloads.
- Single server: risky deployments. — HA Kubernetes: zero-downtime rolling updates.
Manual deployments vs GitOps Kubernetes deployments
- Manual: error-prone and stressful. — GitOps: controlled and repeatable.
- Manual: downtime during releases. — GitOps: zero-downtime updates.
- Manual: undocumented changes. — GitOps: full version history in Git.
DIY Kubernetes vs Managed Kubernetes by FRAI
- DIY: steep learning curve and operational risk. — FRAI: managed Kubernetes platform.
- DIY: time-consuming maintenance. — FRAI: focus on your product.
- DIY: fragile setups. — FRAI: production-tested patterns.
09 — Before we start
Frequently Asked Questions
Direct answers to the questions that usually determine fit, scope, and responsibility.
01Is this a managed Kubernetes service?+
Yes. FRAI designs, deploys and operates the High Availability Kubernetes (K3s) platform for you.
02Is this suitable for production systems?+
Absolutely. The service is designed specifically for production workloads where uptime and reliability are critical.
03Do deployments cause downtime?+
No. Deployments are handled through GitOps and rolling updates to ensure zero downtime.
04Do I need Kubernetes expertise?+
No. You interact through Git and your normal development workflow while FRAI manages the platform.
05Can this replace a single-server setup?+
Yes. This service is ideal when you have outgrown single-server infrastructure and need automatic failover.
06How long does implementation take?+
Typically between 2 and 6 weeks, depending on application complexity and requirements.
The operating boundary
Run Your Application on Infrastructure That Doesn’t Go Down
FRAI builds and manages High Availability Kubernetes (K3s) infrastructure so your production systems stay online, deploy safely and scale with confidence.
No generic package. No disconnected pilot. One accountable path from scope to operation.