We already know that Kubernetes revolutionized cloud-native computing by helping developers deploy and scale applications more easily. However, configuring Kubernetes clusters so they are optimized for security, efficiency, and reliability can be quite difficult. The 2024 Kubernetes Benchmark Report analyzed over 330,000 K8s workloads to identify common workload configuration issues as well as areas where software developers and the infrastructure teams that support them have made noticeable improvements over the last several years.
1. Optimize Cost Efficiency
Efficient resource management is key to optimizing cloud spend. The Benchmark Report shows significant improvements in this area: 57% of organizations have 10% or fewer workloads that require container right-sizing. Software developers can use open-source tools such as Goldilocks, Prometheus, and Grafana to monitor and manage resource utilization. Appropriately setting CPU and memory requests and limits helps developers prevent resource contention issues and optimize cluster performance. Right-sizing means increasing resources to improve reliability or lowing resources to improve utilization and efficiency based on the requirements of each application and service.
