Cloud Providers #
Cloud strategy should align with your team capabilities, compliance needs, and workload profile.
Cloud provider comparison #
| Provider | Best fit | Kubernetes option | CI/CD integrations | IaC support | Learning curve | Cost predictability | Common DevOps use case |
|---|---|---|---|---|---|---|---|
| AWS | Large-scale, heterogeneous, regulated, and service-rich environments | Amazon EKS, ECS for non-Kubernetes containers | CodePipeline, CodeBuild, CodeDeploy, GitHub Actions, GitLab CI, Jenkins | Terraform/OpenTofu, AWS CloudFormation, AWS CDK, Pulumi, Ansible | High because of service breadth and IAM/account design | Medium; strong tooling, but many pricing dimensions | Multi-account platform, container services, serverless/event-driven apps, data platforms |
| Azure | Microsoft-centric enterprises, Entra ID-heavy organizations, and policy-driven governance | Azure Kubernetes Service (AKS) | Azure DevOps Pipelines, GitHub Actions, GitLab CI, Jenkins | Terraform/OpenTofu, Bicep, ARM templates, Pulumi, Ansible | Medium-high, especially around subscriptions, networking, and RBAC scopes | Medium; reservations and budgets help, but enterprise estates can sprawl | Enterprise landing zones, AKS/App Service platforms, hybrid Microsoft workloads |
| Google Cloud Platform | Kubernetes-first, data/AI-heavy, and managed container/serverless teams | Google Kubernetes Engine (GKE) | Cloud Build, GitHub Actions, GitLab CI, Jenkins | Terraform/OpenTofu, Google Cloud Deployment Manager, Config Connector, Pulumi, Ansible | Medium; project/folder/IAM model is opinionated but consistent | Medium; project budgets help, quotas and managed services need planning | GKE platforms, Cloud Run services, analytics-adjacent application delivery |
| DigitalOcean | Startups, small teams, and straightforward web/app hosting | DigitalOcean Kubernetes (DOKS) | GitHub Actions, GitLab CI, CircleCI, Jenkins, API-driven deployments | Terraform/OpenTofu, Pulumi, Ansible, doctl automation | Low-medium because the product surface is focused | High for common VM/Kubernetes/database patterns | Simple app stacks, DOKS clusters, managed databases, developer sandboxes |
| Linode | Linux-focused teams, SMB workloads, predictable VM-first infrastructure | Linode Kubernetes Engine (LKE) | GitHub Actions, GitLab CI, Jenkins, API/CLI-based deployments | Terraform/OpenTofu, Pulumi, Ansible, Linode CLI/API | Low-medium for VM-first operations; medium when building custom platform controls | High for VM-centric environments | Cost-conscious VM hosting, LKE for stateless services, lift-and-shift modernization |
The big three #
- AWS: breadth of services and ecosystem depth
- Microsoft Azure: strong enterprise and Microsoft stack integration
- Google Cloud Platform: data, AI, and Kubernetes strengths
Alternative providers #
- DigitalOcean: simple developer experience and predictable pricing
- Linode: straightforward infrastructure and cost transparency
Cloud decision checklist #
Use this shortlist when selecting a provider:
- workload fit (compute, data, edge, AI)
- regional availability and latency requirements
- IAM/security controls and compliance scope
- managed services maturity
- pricing model and cost tooling
- hiring and operational familiarity
Operating model recommendations #
- Start with a single primary cloud unless multi-cloud is required
- Use Terraform/OpenTofu modules to enforce consistency
- Standardize observability and security controls across accounts/subscriptions/projects
- Tag resources for ownership, environment, and cost allocation