Number of services
The more APIs, workers, queues, frontends and integrations exist, the more useful orchestration becomes.
Tool
Kubernetes for business applications
When Kubernetes makes sense, when Docker is enough, and how to plan clusters, rolling updates, monitoring, storage and application backup.
Kubernetes helps operate many application services, roll out changes and recover processes automatically. It still requires storage, backup, ingress, certificates, monitoring and conscious cluster administration.
Docker before Kubernetes
Check whether a simpler environment is enough.
Cloud server
Plan nodes, storage and traffic.
Cluster backup
Protect databases, volumes and configuration.
Cluster monitoring
Use alerts, logs, HTTP checks, resources and certificates.
Cloud migration
Move an application into the new environment in stages.
DNS and SSL
Verify the domain after ingress is launched.
Kubernetes for business applications
Kubernetes makes sense when an application has many services, frequent deployments, higher availability needs or several repeatable environments. For a single small application, Docker Compose on VPS may be simpler and easier to maintain.
What decides whether Kubernetes is worth it?
Deployments and rollback
Rolling update, health checks and quick rollback are core advantages.
Storage and data
Databases, volumes, backup and data migrations are usually the hardest part.
Monitoring and alerts
Without monitoring, Kubernetes can hide problems instead of solving them.
Cluster preparation order
- Start with the application. Decide what is stateless, what needs storage and what should remain outside the cluster.
- Prepare ingress and DNS. Plan domains, certificates, HTTP routing and post-switch tests.
- Define the data model. Databases, files and queues need their own backup and restore strategy.
- Add monitoring. Watch health checks, resources, logs, certificates, errors and backup status.
- Test updates. Practice rolling update and rollback before a critical deployment.
Where Kubernetes helps most
- Many microservices and helper services.
- Frequent application deployments by a development team.
- Automatic pod recovery and health checks.
- Several environments such as test, staging and production.
- Consistent deployment, rollback and monitoring procedures.
FAQ: Kubernetes
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.