What is one way to ensure that applications in a GKE cluster can access shared resources without conflict?

Using Resource Quotas on shared namespaces is an effective strategy to ensure that applications within a Google Kubernetes Engine (GKE) cluster can access shared resources without conflict. Resource quotas limit the amount of resources (such as CPU and memory) that can be consumed by applications within a specific namespace. This helps prevent one application or team from monopolizing resources, which could lead to performance degradation or outages for others sharing the same namespace.

By establishing these quotas, you can maintain a balanced resource allocation and ensure that all applications have the necessary resources to function effectively. As a result, this promotes fair resource usage and reduces the likelihood of resource contention among applications in the shared namespace.

Other options, while they may stake their claim in resource management and security, do not directly address the prevention of resource conflicts as effectively as implementing resource quotas does. For instance, a default LimitRange helps set default limits for resource requests and limits for containers, but it might not restrict the total resources consumed by the entire namespace. Restricting network access to cluster nodes mainly affects connectivity and security rather than resource allocation. Similarly, enabling private service access focuses on how services interact but isn’t related to internal resource management among applications.