关于“GKE 工作负载优化”的评价
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Abhishek Y. · 已于 about 1 month前审核
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Killua H. · 已于 about 1 month前审核
NA
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Chinnari T. · 已于 about 1 month前审核
You learned how you can create a container-native load balancer through ingress in order to take advantage of more efficient load balancing and routing. You ran a simple load test on a GKE application and observed its baseline CPU and memory utilization, as well as how it responds to spikes in traffic. Additionally you configured liveness and readiness probes along with a pod disruption budget to ensure your applications' availability. These tools and techniques in conjunction with each other contribute to an overall efficiency to how your application can run on GKE by minimizing extraneous network traffic, defining meaningful indicators of a well-behaved application and improving application availability.
Ayan S. · 已于 about 1 month前审核
Chinnari T. · 已于 about 1 month前审核
Bharat B. · 已于 about 1 month前审核
nice
Vrutanshi G. · 已于 about 1 month前审核
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