KEDA's HTTP Add-on enables efficient autoscaling for Kubernetes based on incoming traffic, improving resource allocation and reducing costs.
Kubernetes Go-live checklist for your Microservices
Successful production deployment of Kubernetes microservices requires detailed resource planning and performance testing for stability and scalability.
Kubernetes Go-live checklist for your Microservices
Effective resource management is essential for Kubernetes microservices to maintain stability and performance during production deployment.
Deezer Optimizes Kubernetes Autoscaling with Custom Metrics
Deezer enhances Kubernetes autoscaling accuracy by using custom metrics, particularly Event Loop Utilization, instead of default CPU and memory metrics.
HTTP request-based autoscaling with Keda
KEDA allows applications to scale automatically based on HTTP traffic, optimizing resource usage and costs.
8 advanced techniques for autoscaling and resource management in Kubernetes - Amazic
Autoscaling and resource management in Kubernetes optimize resource utilization for cost reduction and performance reliability.
HTTP request-based autoscaling with Keda
KEDA's HTTP Add-on enables efficient autoscaling for Kubernetes based on incoming traffic, improving resource allocation and reducing costs.
Kubernetes Go-live checklist for your Microservices
Successful production deployment of Kubernetes microservices requires detailed resource planning and performance testing for stability and scalability.
Kubernetes Go-live checklist for your Microservices
Effective resource management is essential for Kubernetes microservices to maintain stability and performance during production deployment.
Deezer Optimizes Kubernetes Autoscaling with Custom Metrics
Deezer enhances Kubernetes autoscaling accuracy by using custom metrics, particularly Event Loop Utilization, instead of default CPU and memory metrics.
HTTP request-based autoscaling with Keda
KEDA allows applications to scale automatically based on HTTP traffic, optimizing resource usage and costs.
8 advanced techniques for autoscaling and resource management in Kubernetes - Amazic
Autoscaling and resource management in Kubernetes optimize resource utilization for cost reduction and performance reliability.