GKE Workload Optimization Reviews

Nishant T. · Reviewed בערך 15 שעות ago

Sushil K. · Reviewed בערך 15 שעות ago

Tashu G. · Reviewed בערך 15 שעות ago

Pooja M. · Reviewed בערך 15 שעות ago

Arkya R. · Reviewed בערך 15 שעות ago

Rohit V. · Reviewed בערך 15 שעות ago

Pranjal V. · Reviewed בערך 16 שעות ago

Killua H. · Reviewed בערך 17 שעות ago

NA

Sri H. · Reviewed בערך 17 שעות ago

Sapna S. · Reviewed בערך 17 שעות ago

Harsh U. · Reviewed בערך 18 שעות ago

Chinnari T. · Reviewed בערך 18 שעות ago

Malti M. · Reviewed בערך 18 שעות ago

Akshay L. · Reviewed בערך 19 שעות ago

Chinnari T. · Reviewed בערך 19 שעות 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 בערך 19 שעות ago

Chinnari T. · Reviewed בערך 19 שעות ago

Bharat B. · Reviewed בערך 19 שעות ago

nice

Vrutanshi G. · Reviewed בערך 20 שעות ago

Prince J. · Reviewed בערך 21 שעות ago

Nagothi N. · Reviewed בערך 21 שעות ago

Aman K. · Reviewed בערך 21 שעות ago

Harika K. · Reviewed בערך 22 שעות ago

Maya K. · Reviewed בערך 22 שעות ago

Sohan S. · Reviewed בערך 22 שעות ago