What is the reason for introducing various resource limits in Kubernetes?

In Kubernetes, resource limits (CPU, memory) are introduced to prevent situations where a single container or pod consumes too many resources and negatively impacts the operation of other applications in the cluster.

Reasons for introducing limits:

• Ensuring fair distribution of resources among applications.
• Protecting against errors or memory leaks that could lead to node failures.
• Improving stability and predictability of the cluster's operation.
• Enabling resource planning and scaling.

For example, if a pod is not limited in memory, it can consume all available memory on the node, leading to the failure of other pods.