As organizations embrace containerization and orchestration for their applications, Kubernetes has emerged as the go-to solution. Its ability to automate deployment, scaling, and management of containerized applications is unparalleled. However, to further optimize Kubernetes deployments and overcome network-related challenges, an Application Delivery Controller (ADC) plays an essential role.
By complementing Kubernetes' capabilities with advanced load balancing, security, service discovery, and more, ADCs offer a significant performance boost. Here are ten key usage scenarios demonstrating how an ADC can elevate your Kubernetes deployments:
- Load Balancing in Kubernetes Clusters: ADCs effectively distribute traffic across multiple pods, preventing bottlenecks.
- Service Discovery: ADCs facilitate efficient service discovery by updating the load balancer with new services or pods.
- Health Monitoring and Auto-Scaling: ADCs monitor pod health and automate scaling based on pre-defined metrics.
- Securing Kubernetes Applications: ADCs provide robust security for applications running in Kubernetes clusters.
- Multi-tenancy Support: In multi-tenant Kubernetes environments, ADCs ensure tenant isolation.
- Traffic Shaping and Control: ADCs manage and control traffic flow in Kubernetes clusters, enabling QoS management.
- Kubernetes Ingress Control: ADCs function as an Ingress controller, managing external access to services.
- Application Performance Optimization: ADCs optimize performance for Kubernetes applications, reducing latency.
- Multi-cluster and Multi-region Deployments: ADCs ensure consistent application delivery across multiple Kubernetes environments.
- Microservices and Containerized Applications: ADCs manage inter-service communication within Kubernetes, enhancing performance and security.
Read more about Application Delivery for Kubernetes
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