NetScaler on AWS use cases
Phased cloud migration
Why NetScaler on AWS?
Bot and threat-actor traffic removal: AWS charges by the bandwidth used and number of requests, so removing approximately 40 percent of the traffic requests caused by bots frees up backend services and 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
NetScaler’s GSLB capability connects multiple NetScaler ADCs — regardless of their locations — so you can deploy your ADCs in multiple on-premises locations and on AWS with full connectivity between them and full visibility into ADC and application performance metrics.
Stronger security with no performance hit
IT teams often integrate security inspections into native cloud load balancers to protect applications from attack. But layers of security introduce long delays, which can affect the application end-user experience. NetScaler is the only application delivery and security platform that uses a single-pass architecture for traffic processing for applications hosted on AWS. This capability enables NetScaler to perform many functions simultaneously — including security inspections — to reduce latency and improve performance.
Centralized management to save time and reduce configuration errors
NetScaler works the same on AWS 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 AWS — including AWS Outposts for on-premises workloads.
“We didn’t know we needed something like NetScaler — we just went with the old way of doing things. Now we have a streamlined way of handling auto-scaling in AWS, which means we also save money since we don’t need to have all the capacity allocated all the time.”