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14 posts

Linode and Akamai Cloud: Connecting Classic VPS Compute to Edge and Managed Kubernetes

Linode is now the compute foundation of Akamai Cloud Computing; VMs, LKE, storage, and databases retain regional and network boundaries, so the Akamai brand does not imply complete integration.

CoreWeave: An AI Cloud Built from Kubernetes, GPU Fabric, and Storage

CoreWeave is more than rented GPUs: it combines Kubernetes, GPU networking, storage, and inference into AI infrastructure, while platform engineering and capacity governance remain yours.

Crusoe Cloud: From GPU VMs and Managed Kubernetes to Managed AI

Crusoe offers both Infrastructure Cloud and Managed AI: GPU VMs and clusters provide control, while serverless and dedicated inference provide higher abstractions with different responsibilities.

DigitalOcean: A Simplified Cloud from Droplets to App Platform

DigitalOcean covers common product architectures with Droplets, DOKS, Managed Databases, and App Platform; simplicity comes from a smaller surface, not from eliminating OS, network, backup, or HA design.

Google Kubernetes Engine: GKE Autopilot Reduces Node Operations, Not Kubernetes

GKE manages the Kubernetes control plane and Autopilot manages most node infrastructure, while workloads, policy, networking, upgrade compatibility, and cost governance remain yours.

Kubernetes: Container Orchestration from Pods and Controllers to Declarative Reconciliation

Kubernetes is fundamentally API objects, controllers, and reconciliation loops—not YAML; it manages workload lifecycles without solving application state, data consistency, or organizational governance.

Lambda Cloud: GPU Compute from One VM to Multi-Node AI Clusters

Lambda Cloud provides on-demand GPU VMs and 1-Click Clusters; it offers direct AI compute environments rather than automatically solving training, serving, and MLOps.

Nebius AI Cloud: A Full Platform for GPU Clusters, Managed Kubernetes, and Serverless AI

Nebius combines GPU VMs and clusters, Kubernetes, Slurm, storage, and Serverless AI; choose the responsibility layer before comparing hardware and price.

Oracle Cloud Infrastructure: Start with Compartments, VCNs, and Fault Domains

OCI is a full hyperscale cloud; architecture starts with tenancy and compartment IAM, region/AD/fault domains, and VCNs before selecting Compute, OKE, databases, and storage.

OVHcloud: Combining Public Cloud, OpenStack, vRack, and Dedicated Servers

OVHcloud combines Public Cloud, OpenStack APIs, Managed Kubernetes, vRack, and dedicated or private cloud; that flexibility also creates more networking and responsibility boundaries.

Scaleway: European Cloud Instances, Kapsule, Serverless, and Managed Data

Scaleway now spans compute, Kapsule, serverless, databases, storage, AI, and IAM rather than only low-cost VMs; maturity and integration still require per-region verification.

Teleport: Infrastructure Access with Short-Lived Credentials, RBAC, and Session Audit

Teleport is a protocol-aware infrastructure access platform: its Auth Service signs short-lived credentials, while Proxies and Agents mediate SSH, Kubernetes, database, and app access with audit evidence.

Vultr: Choosing Between Cloud Compute, VKE, and GPUs

Vultr spans VMs, bare metal, GPUs, VKE, databases, and storage; breadth and regional choice help, but product availability alone does not create an integrated architecture.

OpenClaw Installation Guide (Part 2): Four Decisions for Cloud Deployment, and the Real Traps on K8s

Deploying OpenClaw to the cloud comes down to four decisions: where the Gateway binds, where state lives, who can reach it, and how you recover. Which platform you pick is the least important of them.