GKE Workload Optimization Reviews

Abhishek Y. · Reviewed about 1 month ago

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Pranjal V. · Reviewed about 1 month ago

Killua H. · Reviewed about 1 month ago

NA

Sri H. · Reviewed about 1 month ago

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Harsh U. · Reviewed about 1 month ago

Chinnari T. · Reviewed about 1 month ago

Malti M. · Reviewed about 1 month ago

Akshay L. · Reviewed about 1 month ago

Chinnari T. · Reviewed about 1 month ago

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. · Reviewed about 1 month ago

Chinnari T. · Reviewed about 1 month ago

Bharat B. · Reviewed about 1 month ago

nice

Vrutanshi G. · Reviewed about 1 month ago

Prince J. · Reviewed about 1 month ago

Nagothi N. · Reviewed about 1 month ago