Managing multiple clusters
A Kubernetes cluster is powerful and can manage a lot of workloads (thousands of nodes, and hundreds of thousands of pods). As a startup, you may get pretty far with just one cluster. However, at enterprise scale, you’ll need more than one cluster. Let’s consider some use cases.
Geo-distributed clusters
Geo-distributed clusters are clusters that run in different locations. There are three main reasons for using geo-distributed clusters:
- Keeping your data and workloads close to their consumers.
- Compliance and data privacy laws where data must remain in its country of origin.
- High availability and disaster recovery in case of a regional outage.
Multi-cloud
If you run on multiple clouds, then naturally you need at least one cluster per cloud provider.
Running on multiple clouds can be complicated, but at enterprise scale, it may be unavoidable and sometimes desirable. For example, your company may...
