Abstract
Maximizing resource utilization in Google Kubernetes Engine (GKE) can lead to cost savings and better performance.This case study examines how an organization optimizes IP address management and budget allocation in GKE bycombining static and dynamic IP addresses, reserved instances, and autoscaling. The organization found that static IPaddresses were useful for critical services, while dynamic IP addresses were more appropriate for non-critical services.Using reserved instances and autoscaling allowed the organization to minimize costs while ensuring that resourceswere available when needed. The findings of this study have implications for organizations using GKE, highlighting theimportance of effective resource utilization for achieving optimal performance and cost savings.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Science and Technology of Engineering, Chemistry and Environmental Protection
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
