Alpina Tech builds production infrastructure on Akamai Connected Cloud (Linode) for teams that need reliable compute with straightforward pricing and developer-friendly tooling. We handle instance provisioning, Kubernetes clusters, managed databases, networking, and automation β delivering cloud infrastructure backed by Akamaiβs global network.
Compute Instance Provisioning & Configuration
We deploy Linode instances sized and configured for your workload:
- Plan selection β Shared CPU for general use, Dedicated CPU for consistent performance, High Memory for data-intensive workloads, GPU for ML inference and rendering
- Custom image deployment from snapshots or uploaded disk images with your runtime stack
- StackScripts for automated provisioning β installing packages, configuring services, and hardening the OS on first boot
- Block storage volumes for persistent data beyond the root disk
- Instance tagging and labeling for organized multi-environment management
Linode Kubernetes Engine (LKE)
For containerized workloads, we deploy and manage LKE clusters:
- Cluster provisioning with right-sized node pools and autoscaling policies
- Ingress controller setup with cert-manager for automatic TLS termination
- Helm-based application deployments with GitOps workflows (ArgoCD, Flux)
- Linode CSI driver for persistent volume claims backed by block storage
- NodeBalancer integration for external traffic routing to Kubernetes services
Networking & Security
We architect the network layer around your Linode infrastructure:
- VLAN configuration for private networking between instances without public internet exposure
- NodeBalancers for L4/L7 load balancing with health checks, SSL termination, and session persistence
- Cloud Firewall rules with least-privilege inbound and outbound policies
- SSH key management and secure access via Linode LISH console
- DNS management via Linode DNS Manager with API-driven record updates
Migration to Linode
We migrate workloads from other cloud providers and traditional hosting:
- AWS, DigitalOcean, Hetzner migration β mapping instance types to equivalent Linode plans
- Server transfer via disk image import, rsync, or containerization
- Database migration with replication-based cutover for minimal downtime
- DNS transition with Linode DNS Manager or external DNS providers
- Cost comparison report β before and after migration with projected savings
Managed Services & Databases
We configure Linodeβs managed offerings to reduce operational overhead:
- Managed MySQL and PostgreSQL databases with automated backups, failover, and maintenance windows
- Object Storage (S3-compatible) for files, media, backups, and static assets
- Linode Managed service for incident response, dashboard monitoring, and infrastructure support
- Marketplace one-click apps for common stacks β WordPress, GitLab, Prometheus, Grafana, and more
- Automated instance backups with configurable retention and cross-datacenter snapshot storage
We extend these setups with external monitoring and custom alerting pipelines.
How We Approach Linode Projects
Assessment & Plan Selection We evaluate your compute, memory, storage, and network requirements and map them to Linodeβs plan lineup. Shared CPU for most web applications, Dedicated CPU for production databases, GPU for specialized workloads β we size based on actual metrics.
Infrastructure as Code Every instance, firewall, NodeBalancer, and DNS record is defined in Terraform using the Linode provider. Your infrastructure is versioned, reviewed in pull requests, and reproducible across environments.
Incremental Deployment Infrastructure goes live in stages. We validate networking, firewall rules, application deployment, and monitoring at each layer before production traffic flows.
Optimization & Handoff We right-size instances based on utilization data, configure automated backups, and document the architecture. Your team receives Terraform modules, StackScripts, and runbooks for independent operation.
Technology Stack on Linode
Compute & Scaling
- Linode Compute Instances β Shared, Dedicated, High Memory, and GPU plans
- Linode Kubernetes Engine (LKE) β managed Kubernetes with autoscaling node pools
- NodeBalancers β L4/L7 load balancing with health checks and SSL termination
- GPU Instances β NVIDIA RTX GPUs for ML inference, rendering, and video processing
Data & Storage
- Managed Databases β MySQL and PostgreSQL with automated backups and failover
- Block Storage β NVMe-backed volumes attachable to any instance
- Object Storage β S3-compatible storage for files and static assets
- Automated Backups β daily, weekly, and bi-weekly snapshots with one-click restore
Infrastructure & Automation
- Terraform (linode provider) β infrastructure-as-code for all Linode resources
- Ansible β server configuration management and OS hardening
- StackScripts β bash-based provisioning scripts for automated instance setup
- Linode CLI + API β full resource management via REST API and command-line tooling
Business Benefits
- Transparent, flat-rate pricing β Linode bills at fixed monthly rates with no hidden fees. Compute, transfer, and IPv4 are included in the plan price. No surprise egress charges or per-request billing.
- Akamaiβs global network β since Akamaiβs acquisition, Linode instances benefit from Akamaiβs CDN and edge network infrastructure. Core compute in 25+ datacenters with distributed edge capabilities.
- Developer-first experience β Linodeβs API, CLI, and Terraform provider cover every resource. Clean documentation, responsive support, and a control panel designed for engineers, not enterprise procurement.
- Managed Kubernetes without premium pricing β LKE control plane is free. You pay only for worker node instances. Production Kubernetes clusters cost a fraction of EKS, GKE, or AKS equivalents.
- GPU instances for specialized workloads β NVIDIA RTX GPU instances available on-demand for ML inference, video transcoding, and scientific computing without long-term commitments or reservation requirements.
- Simple scaling path β start with a $5/month Shared instance and scale to Dedicated CPU, High Memory, or GPU plans as workloads grow. Resize instances or add LKE nodes without re-architecting.
Page Updated: 2026-03-11






