Tired of complex OpenStack deployments and migration risk? FSD-Tech delivers FishOS using a zero-downtime, 7-step methodology and provides expert 24/7 managed services across the GCC, guaranteeing performance and stability.
Accelerate your OpenStack and Kubernetes cloud deployments with FishOS, an enterprise-grade private cloud platform offering full-stack automation, rapid provisioning, and AI-driven operational intelligence for GCC markets and beyond.

FSD-Tech brings localized expertise and business-aligned cloud transformation services built on FishOS, an advanced platform that integrates OpenStack, Kubernetes, and Ceph. Designed for enterprises, telcos, and service providers, FishOS simplifies complex cloud infrastructure management with:






Unlike typical cloud stacks, FishOS offers complete automation from Day-1 deployment to Day-2 operations, reducing costs, accelerating time-to-market, and ensuring SLA-driven reliability.

Automated deployment of OpenStack, Kubernetes, and Ceph across diverse hardware environments.
Orchestrate system upgrades, scaling, and patching with zero downtime—a critical feature for regulated environments.
The AI Health Engine automates workload tuning and resource scheduling, proactively preventing downtime and maximizing efficiency.
Centralized monitoring, logging, and policy enforcement from a single, intuitive dashboard.
Leverage your existing x86 server hardware and deployment footprint to maximize ROI.
| Feature | FishOS | VMware vSphere | OpenStack (Vanilla) | AWS Outposts |
|---|---|---|---|---|
| AI-Ops Automation | 11 ML engines (placement, health, power) | Basic analytics | Manual scripting | Limited on-prem |
| Cost Savings | 50–85% vs. public cloud | High licensing | Free but ops-heavy | Hyperscaler pricing |
| Zero-Downtime Upgrades | Built-in Upgrader | Patches risky | Complex process | Vendor-dependent |
| GCC Compliance | FSD-custom NESA/TDRA | Add-ons needed | Custom dev | Regional but costly |
| Scalability | S/M/L bundles to hyperscale | Enterprise-only | DIY scaling | Pay-per-use lock-in |
FishOS’s “Intelligent Heartbeat” is an AI-driven system that continuously monitors and optimizes your cloud. By using predictive analytics, it foresees and prevents issues before they happen.
Key features include:
Analyzes real-time data to predict failures and maintain smooth operations.
AI automatically places and rebalances workloads without downtime.
Powers down idle servers during low usage to save energy and reduce costs.
Maximizes server use, cutting cloud expenses by up to 10x.
Enables seamless updates with self-healing to keep systems running non-stop.


Comprehensive analysis of your server footprint, network topology, compliance needs, and business goals across GCC.

Collaborative workshops defining cloud enablement strategies, licensing optimization, and edge compute integration.

Fully automated one-click FishOS installer ensures stable OpenStack, Kubernetes, and Ceph clusters within hours.

Our AI Health Engine proactively monitors, rebalances workloads, and automates rolling upgrades with zero downtime.

24×7 monitoring, usage insights, audits, policy tuning, and SLA-backed support tailored for GCC regulations.

24×7 monitoring, usage insights, audits, policy tuning, and SLA-backed support tailored for GCC regulations.
| Step | Focus | FSD-Tech Deliverable |
|---|---|---|
| Day 0: Discovery | Infrastructure & Goals | Detailed assessment of server footprint and business priorities across GCC markets. |
| Day 1: Provisioning | Automated Deployment | One-Click Installer deploys OpenStack, Kubernetes, and Ceph in hours. |
| Day 2: Migration | Data Transition | Zero-Downtime Migration Plan executed, mapping dependencies and converting legacy VMs. |
| Day 3: Optimization | AI Enablement | Activate FishOS AI Health Engine for self-healing and automatic workload rebalancing. |
| Day 4: Governance | Policy Enforcement | Implement robust Multi-Tenant Security and Role-Based Access Controls (RBAC). |
| Day 5: Resilience | Lifecycle Management | Configure Rolling Upgrades and live maintenance features to eliminate patch-cycle disruption. |
| Day 6+: Ongoing Support | Operations & Tuning | 24/7 Managed Services, compliance audits, and proactive cost optimization. |
FishOS is a fully-automated private cloud management platform integrating OpenStack, Kubernetes, and Ceph for scalable hybrid cloud deployments.
It uses a one-click automated installer to deploy production-ready OpenStack, Kubernetes, and Ceph clusters within hours, not weeks.
FishOS includes controller nodes for OpenStack services, compute nodes for workload resources, storage nodes with Ceph, a traffic balancer, and a deployer for upgrades.
Three nodes ensure high availability, fault tolerance, safe storage replication, and enable zero-downtime rolling upgrades.
Yes, FishOS supports hybrid cloud orchestration, allowing seamless workload mobility between private data centers and public clouds.
FishOS automates lifecycle management including provisioning, scaling, health monitoring, rolling upgrades, and workload rebalancing with AI.
Its AI Health Engine continuously analyzes metrics to proactively rebalance workloads, prevent bottlenecks, and optimize resource usage.
Yes, it enforces tenant isolation, quota management, and role-based access control to secure shared environments.
It exposes telemetry and metrics compatible with Prometheus, Grafana, and other observability platforms via APIs.
By using Ceph’s distributed replicated storage designed for fault tolerance and supporting backup automation with FishOS Cannery.
FishOS offers volume discounts starting at 500 cores and reduces TCO via AI-driven workload consolidation and efficient resource use.
Yes, the advanced FishOS package supports GPU scheduling for specialized high-performance applications.
FishOS performs rolling, zero-downtime upgrades coordinated across nodes to maintain continuous operation.
FSD-Tech offers 24×7 SLA-backed support with expert engineering assistance, tailored for the GCC market
Yes, FishOS is compatible with a broad range of hardware and integrates via APIs to fit within existing monitoring and deployment workflows.