Explore the power of F5 NGINXaaS for Azure—a fully managed, cloud-native Load Balancer-as-a-Service and ADC-as-a-Service. It highlights key features, use cases and provides a step-by-step guide to ...

Built on eBPF technology, the Isovalent Load Balancer is designed to run in any environment, from servers and virtual machines in the data center, to the public cloud, to Kubernetes containers.

Networking, observability, and security for Kubernetes and container networks involve substantial processing overhead. eBPF promises more efficiency, visibility, and control.

It is advised to load-test with multiple concurrent Python workers to understand how your specific Azure OpenAI instances, your limits, and your load balancer configuration function.

However, after running for a long time, Kubernetes clusters often suffer from uneven system load, leading to a performance decline. To address this issue, a load balancing strategy called K-TAHP, ...