
To optimize the performance of Ingress Nginx Controller in a GKE environment, consider the following.

 1. Use of NodeLocal DNS Cache.
 Enabling NodeLocal DNSCache on GKE nodes can reduce DNS query latency and improve performance [1].

 2. Adjust the resource limit.
 According to the actual traffic demand, appropriately increase the CPU and memory resource limit of Ingress Controller.

 3. Enable HPA (Horizontal Pod Autoscaler).
 Configure HPA to automatically scale the number of replicas of Ingress Controller according to the load.

 4. Using GCE Load Balancer.
 Take advantage of GCE load balancer features, such as SSL offloading, HTTP/2 support, and so on.

 5. Enable PROXY protocol.
 Enable the PROXY protocol on the GCE load balancer to obtain the client's real IP.

 6. Adjust keepalive settings.
 Optimize the keepalive_timeout and keepalive_requests parameters to improve connection reuse efficiency.

 7. Enable Gzip compression.
 Enable Gzip compression for appropriate content types to reduce the amount of data transferred.

 8. Use of caching: Configure appropriate caching policies to reduce the amount of data transferred.
 Configure appropriate caching policies to reduce the load on back-end services.

 9. Monitoring and tuning.
 Use tools such as Prometheus and Grafana to monitor the performance of Ingress Controller and make adjustments according to the actual situation.

 10. Upgrade to the latest version.
 Keep the version of Ingress Nginx Controller up to date for performance improvements and bug fixes.

 These optimizations can significantly improve the performance and scalability of Ingress Nginx Controller in a GKE environment.

 Sources
 [1] Installation Guide ¶ https://kubernetes.github.io/ingress-nginx/deploy/
 [2] Performance Testing NGINX Ingress Controllers in a Dynamic ... https://www.f5.com/company/blog/nginx/performance-testing-nginx-ingress-controllers-dynamic-kubernetes-cloud-environment
 [3] How to expose GKE managed services through Nginx-Ingress https://www.linkedin.com/pulse/how-exposed-gke-managed-services-through- pallavi-udhane?trk=pulse-article_more-articles_related-content-card
 [4] NGINX Tutorial: Reducing Kubernetes Latency with Autoscaling https://www.f5.com/company/blog/nginx/microservices-march-reduce-kubernetes -latency-with-autoscaling
 [5] GKE Ingress for Application Load Balancers - Google Cloud https://cloud.google.com/kubernetes-engine/docs/concepts/ingress




要在GKE环境中优化Ingress Nginx Controller的性能,可以考虑以下几个方面:

1. 使用节点本地DNS缓存:
在GKE节点上启用NodeLocal DNSCache,可以减少DNS查询延迟,提高性能[1]。

2. 调整资源限制:
根据实际流量需求,适当增加Ingress Controller的CPU和内存资源限制。

3. 启用HPA(Horizontal Pod Autoscaler):
配置HPA以根据负载自动扩展Ingress Controller的副本数。

4. 使用GCE负载均衡器:
利用GCE负载均衡器的特性,如SSL卸载、HTTP/2支持等。

5. 开启PROXY协议:
在GCE负载均衡器上启用PROXY协议,以获取客户端真实IP。

6. 调整keepalive设置:
优化keepalive_timeout和keepalive_requests参数,以提高连接复用效率。

7. 启用Gzip压缩:
对适当的内容类型启用Gzip压缩,减少传输数据量。

8. 使用缓存:
配置适当的缓存策略,减少后端服务的负载。

9. 监控和调优:
使用Prometheus和Grafana等工具监控Ingress Controller的性能指标,并根据实际情况进行调优。

10. 升级到最新版本:
保持Ingress Nginx Controller的版本为最新,以获得性能改进和bug修复。

通过这些优化措施,可以显著提升GKE环境中Ingress Nginx Controller的性能和可扩展性。

Sources
[1] Installation Guide ¶ https://kubernetes.github.io/ingress-nginx/deploy/
[2] Performance Testing NGINX Ingress Controllers in a Dynamic ... https://www.f5.com/company/blog/nginx/performance-testing-nginx-ingress-controllers-dynamic-kubernetes-cloud-environment
[3] How to exposed GKE managed services through Nginx-Ingress https://www.linkedin.com/pulse/how-exposed-gke-managed-services-through-pallavi-udhane?trk=pulse-article_more-articles_related-content-card
[4] NGINX Tutorial: Reduce Kubernetes Latency with Autoscaling https://www.f5.com/company/blog/nginx/microservices-march-reduce-kubernetes-latency-with-autoscaling
[5] GKE Ingress for Application Load Balancers - Google Cloud https://cloud.google.com/kubernetes-engine/docs/concepts/ingress

