GKE Workload Optimization Reviews

Abhishek Y. · Reviewed yaklaşık 1 ay ago

Venoth R. · Reviewed yaklaşık 1 ay ago

Yawar B. · Reviewed yaklaşık 1 ay ago

kuldeep d. · Reviewed yaklaşık 1 ay ago

Nishant T. · Reviewed yaklaşık 1 ay ago

Sushil K. · Reviewed yaklaşık 1 ay ago

Tashu G. · Reviewed yaklaşık 1 ay ago

Pooja M. · Reviewed yaklaşık 1 ay ago

Arkya R. · Reviewed yaklaşık 1 ay ago

Rohit V. · Reviewed yaklaşık 1 ay ago

Pranjal V. · Reviewed yaklaşık 1 ay ago

Killua H. · Reviewed yaklaşık 1 ay ago

NA

Sri H. · Reviewed yaklaşık 1 ay ago

Sapna S. · Reviewed yaklaşık 1 ay ago

Harsh U. · Reviewed yaklaşık 1 ay ago

Chinnari T. · Reviewed yaklaşık 1 ay ago

Malti M. · Reviewed yaklaşık 1 ay ago

Akshay L. · Reviewed yaklaşık 1 ay ago

Chinnari T. · Reviewed yaklaşık 1 ay 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 yaklaşık 1 ay ago

Chinnari T. · Reviewed yaklaşık 1 ay ago

Bharat B. · Reviewed yaklaşık 1 ay ago

nice

Vrutanshi G. · Reviewed yaklaşık 1 ay ago

Prince J. · Reviewed yaklaşık 1 ay ago

Nagothi N. · Reviewed yaklaşık 1 ay ago