Cloud Computing

We manage your infrastructure. Cloud, on-prem, or both.

Whether you're running workloads on AWS, Azure, GCP, VMware, or bare-metal servers, Graf Clouds provides full-lifecycle infrastructure management — from architecture design and migration to day-to-day operations and cost optimization.
We don't just move you to the cloud. We build, manage, and continuously optimize your entire infrastructure so your team can focus on building products.

Cloud & On-Prem Management

Most organizations don't operate in a single environment. Production runs on AWS, legacy systems sit on VMware, edge workloads live on bare metal, and compliance requirements keep certain data on-premises. We manage all of it as a unified platform.
- Public Cloud: AWS, Azure, GCP — full operational management
- On-Premises: VMware vCenter, Hyper-V, bare-metal servers
- Hybrid: Unified management across cloud and on-prem environments
- Networking: pfSense firewalls, VPN tunnels, DNS, load balancers
- Containers: Kubernetes clusters, Docker workloads, service mesh
- Databases: PostgreSQL, MongoDB, MySQL, Redis — managed or self-hosted

Cloud Migration

Migration is not a forklift operation. Every workload has dependencies, performance requirements, and compliance constraints that must be mapped before a single resource is moved. We plan and execute migrations that minimize downtime and eliminate surprises.
- Assessment & Planning: Workload analysis, dependency mapping, TCO comparison
- Lift & Shift: Rehost existing applications with minimal code changes
- Re-architecture: Redesign applications for cloud-native scalability
- Data Migration: Zero-downtime database and storage migrations
- Hybrid Transition: Phased migration with on-prem/cloud coexistence
- Validation: Performance testing, failover testing, rollback procedures

Cost Optimization

Cloud spend grows silently. Unused instances, oversized databases, idle load balancers, and forgotten snapshots accumulate costs month after month. We identify waste, right-size resources, and implement guardrails that keep your cloud bill under control — without sacrificing performance.
- Cost Audit: Per-service spend analysis across all cloud accounts
- Right-Sizing: AI-driven recommendations to match resources to actual usage
- Reserved & Spot Strategy: Savings plans, reserved instances, spot fleet management
- Waste Elimination: Detect idle instances, unused volumes, old snapshots
- Budget Alerts: Proactive thresholds and anomaly detection
- Ongoing Governance: Automated policies that prevent cost drift

Cloud Strategy

Choosing the right cloud strategy is a business decision, not just a technical one. Security, compliance, cost models, vendor lock-in, and team capabilities all play a role. We help you define the approach that fits your organization.

Single Cloud

Best for teams that want deep integration with one provider. Reduced complexity, unified tooling, and optimized pricing — but requires careful vendor lock-in management.

Multi-Cloud

Ideal when different workloads have different requirements. Run compute on AWS, analytics on GCP, and identity on Azure — with the flexibility to shift providers as needs evolve.

Hybrid Cloud

The reality for most enterprises. Keep sensitive data on-premises, burst to cloud for scale, and maintain unified visibility across both environments.

AINFRA — Our AI Infrastructure Platform

We built AINFRA — an AI-powered infrastructure monitoring and management platform that we use internally and offer to our clients. It provides a single pane of glass across cloud, on-prem, and hybrid environments.
- 25+ monitoring check types across servers, APIs, databases, containers, and network devices
- Auto-discovery for AWS, Azure, GCP, Hetzner, Cloudflare, VMware vCenter, Kubernetes
- AI-powered responses with automated remediation and smart diagnostics
- Cost tracking & optimization with per-service breakdowns and right-sizing recommendations
- Security analysis with vulnerability scanning and penetration testing
- Infrastructure diagrams with interactive topology maps per provider
- Multi-tenant management for MSPs and enterprise teams
- Distributed agents that deploy in minutes via Docker Compose

Site Reliability Engineering

Uptime is not a feature — it's a requirement. Our SRE team designs, monitors, and maintains infrastructure that stays reliable at scale. We combine proactive monitoring, automated incident response, and infrastructure-as-code to keep your systems running and your team sleeping.
- Proactive monitoring with AINFRA, Prometheus, Grafana, Datadog
- Automated alerting, escalation, and incident response
- Infrastructure as Code with Terraform, Ansible, Pulumi
- Backup strategies and disaster recovery planning
- Capacity planning and auto-scaling configuration
- On-call support and 24/7 incident management