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Global Load Balancing

Take advantage of global application presence and intelligently distribute application traffic across multiple geographic locations. This ensures the high availability of applications and optimal user experience.

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Are You Making Effective Use of Global Data Centers and Clouds?

With the growth of the internet and proliferation of devices, users expect “always-on” connectivity to their business applications whenever and wherever they are. Having at least one back-up site is essential, but you need to have a way to utilize multiple data centers effectively to avoid service disruption.

Single Site Availability Is Not Enough

Two is better than one. However, you may waste your precious resources if these data centers are not effectively used to back each other up or distribute traffic load intelligently. If one of the sites is overly subscribed, it will impact service level with slowness and also increase a risk of service disruption due to overflow.

Disaster Recovery

A site failure can happen anytime due to unexpected events such as natural disasters, fiber cuts, power outages and so on. Services hosted on the site can also be inaccessible due to a scheduled service maintenance work, including upgrades and migrations. Organizations must have a disaster recovery solution to avoid costly downtime and ensure uninterrupted service during a site failure.

Regulatory Compliance

Regulatory compliance mandates data processing and security based on specific geo-location. For example, GDPR defines that EU-based users must be served by local servers for certain application requirements. Organizations need to serve a global user base in a manner that complies with government regulations and delivers localized content.

Case Study

UCLA

Challenge
Needed a new application delivery solution for a deployment of UCLA’s revitalized home page/portal that offers performance, scalability and a rich feature set including application optimization and GSLB.

 

Solution
The A10 Networks Thunder ADC solution was chosen primarily for performance, price and a robust feature set. It met the scalability, service availability and global site failover demands of the university’s network.

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