Load balancing is the practice of distributing a workload across multiple servers for improved performance. Network traffic, SSL requests, database queries, or even hardware resources such as memory can be load balanced. In a virtual environment, load balancing is necessary to reduce the risk of overloaded servers and to guarantee consistent business continuity.
When using dedicated servers, applications can start to run slowly or crash if activity reaches a critical point. Virtualization facilitates load balancing so that, as the load increases, additional resources can be automatically provided to cope with the extra activity, thus distributing the load across the available servers. This keeps applications running at peak performance and prevents servers from overloading.
Load Balancing Minus the Complexity
With Parallels Remote Application Server, it’s easy to achieve a load balancing setup without complex network configuration or dedicated hardware. Parallels RAS ensures complete terminal server redundancy by checking server availability before forwarding a connection to a particular server.
This mode of operation includes automatic failover protection. In the event of system failure or downtime, Parallels RAS reroutes applications from overloaded servers to available hardware in an alternate location. The users’ application sessions are migrated to the new servers without their work being interrupted.
Parallels RAS Load Balancing Features
- Autoconfigured, with no extra configuration or settings required.
- Supports resource-based and round robin load balancing.
- Resource-based on number of existing user sessions, memory and CPU utilization.
- Automatic session reconnection.
- Business continuity: users never lose any work or data.
- Easy and flexible management.
- Uninterrupted availability and fault tolerance.
- Better scalability
It plays a critical role in remote desktops, application delivery and VDI. There are different solutions to help businesses to implement load balancing; unfortunately most are complex, expensive and difficult to manage. Parallels Remote Application Server distributes load among servers based on the resources available, significantly improving performance quality for the remote workforce. Parallels makes load balancing easy and cost-effective.