Docker on VPS
Good for one application, an API, a panel, WordPress with helper services or a test environment.
Tool
Docker, Kubernetes and containers at DataHouse
A technology landing page for companies that want to run Docker, Kubernetes, containers, cloud servers and application migration to the cloud.
Docker, Kubernetes and containers help move applications from a single server into a predictable cloud environment. They support cleaner deployments, service separation and staged cloud migration.
VPS for Docker
Environment for applications, APIs and business services.
Cloud server
Server resources that can grow in stages.
Dedicated server
More resources for databases, storage and clusters.
SSL before production
Check the certificate after cloud migration.
DNS after migration
Verify delegation, records and DNSSEC.
Domain audit
Connect DNS, SSL/TLS, RDAP, mixed content and SecDNS.pl.
Docker and Kubernetes in a business cloud
Containers organize application dependencies, runtime versions, environment variables and deployment procedures. Kubernetes adds orchestration, health checks, rolling updates, service discovery and automatic recovery.
When Docker is enough and when Kubernetes helps
Cloud server for applications
Works well when the company wants to move step by step: application, database, storage, monitoring and backup.
Kubernetes
Useful for many services, frequent deployments, stronger availability needs and team-based operations.
Dedicated server for containers
Worth considering for databases, heavy I/O, private registries, build runners, storage and predictable load.
Practical migration order
- List applications and dependencies. Identify databases, storage, mail, cron jobs, certificates and VPN access.
- Choose the starting model. Start with VPS or cloud server plus Docker for simpler deployments; plan Kubernetes for larger service sets.
- Prepare DNS and SSL/TLS. After migration, check domain records, certificates, HTTPS redirects and mixed content.
- Protect data. Plan backups for databases, volumes, user files, logs and secrets.
- Add monitoring and rollback. Production containers need alerts, health checks, logs and a simple rollback path.
Typical DataHouse container use cases
- Running a business application on VPS or a cloud server.
- Migrating a system from one server to cloud without rewriting the application.
- Separating frontend, API, database, cache and workers.
- Test environments for software houses and DevOps teams.
- Preparing Kubernetes or Docker Compose for production.
FAQ: Docker, Kubernetes and cloud migration
How should I use this DataHouse page?
Use it as a technical checklist and connect it with the relevant diagnostic tools before or after a production change.