Container native load balancing on gke cloud next 18

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container native load balancing on gke with cloud next 18 features: a deep dive

this tutorial provides a comprehensive guide to setting up and understanding container native load balancing on google kubernetes engine (gke), leveraging features showcased at cloud next 18 and beyond. we'll cover the benefits, configuration, and best practices to ensure a robust and scalable application infrastructure.

*what is container native load balancing?*

traditionally, load balancing in kubernetes involves routing traffic through a kubernetes service to one or more pods running your application. however, traditional load balancing solutions typically route traffic to kubernetes nodes and then rely on the node's kube-proxy to forward that traffic to the pods.

container native load balancing (cnlb) offers a more efficient and direct approach. instead of routing through nodes, the load balancer directly targets the pods. this leads to several advantages:

*improved performance:* eliminates the extra hop through the kube-proxy, reducing latency and improving overall performance.
*better scalability:* reduces the load on nodes, enabling them to handle more pods and improving the overall scalability of your cluster.
*health checks:* load balancers can now perform health checks directly against the pods, resulting in faster detection and remediation of failures.
*enhanced observability:* provides more granular traffic metrics and insights into individual pod performance.

*key cloud next 18 features & concepts*

while cnlb existed before cloud next 18, the conference highlighted several key enhancements and features that made it more accessible and powerful:

*network endpoint groups (negs):* negs are the foundation for cnlb. they represent a group of endpoints (in this case, pods) that can be targeted by a load balancer. negs are dynamically updated as pods are created and deleted.
*ingress for neg-based load balancing:* using ingress ...

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Container native load balancing
GKE cloud
Kubernetes load balancing
Google Cloud load balancing
service mesh
traffic management
ingress controller
cloud-native applications
autoscaling
microservices architecture
application performance
resilient applications
container orchestration
network policies
multi-cloud deployment