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Reduced costs

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Bot and threat-actor traffic removal: Eliminating the approximately 40 percent of web traffic requests caused by bots frees up backend services — GCP charges by the bandwidth used and number of requests, so removing 40 percent of the traffic results in significant savings

Connection multiplexing: By re-using connections to backend resources, backend servers have less load, so fewer resources are needed to support the same load

Caching content: By serving cached content, NetScaler reduces the workload of the backend resources and, as a result, reduces the number of resources required

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Centralized management to save time and reduce configuration errors

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NetScaler works the same on GCP as it does on-premises: You use the same management plane and configuration commands for application delivery no matter where you host your application. From a single dashboard, you can streamline the management, monitoring, and troubleshooting of your application delivery on GCP.

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Stronger security without compromising performance

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To protect applications from attack, you could integrate security inspections into GCP’s load balancer. But layers of security introduce long delays, which can affect the application end-user experience. By using NetScaler instead, you benefit from its one-pass architecture for traffic processing, which performs many functions simultaneously — including security inspections — to reduce latency and improve performance.

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ADC auto-scaling from within a GKE cluster

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NetScaler works seamlessly with Google Kubernetes Engine (GKE) to provide consistent, reliable application delivery for Kubernetes applications. You can automate multi-cluster and multi-regional deployments and load balancing configurations from within GKE using NetScaler GSLB and Google Anthos Config Management.

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Automated canary deployments

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NetScaler integrates all components of continuous delivery to make it easier for application developers to roll out canary releases on GCP. NetScaler uses Spinnaker as the continuous delivery platform and Kayenta as the Spinnaker plug-in for canary analysis.