information architectures, Intel-based servers are increasingly being deployed to support business critical applications. Not only are departmental applications, such as messaging and collaboration evolving to play a more vital role, dramatic increases in the price/performance of Intel servers are also enabling them to take the place of proprietary, and more expensive RISC-based technology.

With this increased responsibility comes increased risk. Business integration, globalization, collaboration are just three factors that are driving the need for organizations to focus on ensuring availability of business critical applications. No longer can system downtime be measured in hours or days, when business success and customer loyalty are measured in minutes and seconds.

Unfortunately, in IT the maxim of "what can go wrong will go wrong" has never been more true. Despite significant improvements in server, storage and network architectures, growing transaction volumes and complex application and database integration serve to maintain a relatively high risk of failure.

There is a solution. By combining commodity Intel servers running Linux or Windows with High Availability (HA) clustering solutions from Synchroweb, businesses can achieve between 99.99% and 99.999% uptime for business critical applications at a fraction of the cost historically associated with proprietary RISC-based systems.

We offer 4 type of Clustering solutions

1. High Availability ( Active - Passive )

High-availability clusters are implemented primarily for the purpose of improving the availability of services which the cluster provides. They operate by having redundant nodes, which are then used to provide service when system components fail. The most common size for an HA cluster is two nodes, which is the minimum required to provide redundancy. HA cluster implementations attempt to manage the redundancy inherent in a cluster to eliminate single points of failure

2. High Availability (Active - Active 2 way failover )

The Active - active method are same as above but where two node application will failover to each other and vice versa, this improve the ROI of your investment as it help you to utilize both node instead of one.

3. Load Balancing ( Active - Active , Load sharing )

Load-balancing clusters operate by having all workload come through one or more load-balancing front ends, which then distribute it to a collection of back end servers. Load balancing ensure your traffic are redirect evenly and provide high availability feature as well, with Load balancing you can increase the load of your servers and network.

4. High-performance (HPC) clusters

High-performance clusters are implemented primarily to provide increased performance by splitting a computational task across many different nodes in the cluster, and are most commonly used in scientific computing. One of the more popular HPC implementations is a cluster with nodes running Linux as the OS and free software to implement the parallelism. This configuration is often referred to as a Beowulf cluster. Such clusters commonly run custom programs which have been designed to exploit the parallelism available on HPC clusters. Many such programs use libraries such as MPI which are specially designed for writing scientific applications for HPC computers. HPC clusters are optimized for workloads which require jobs or processes happening on the separate cluster computer nodes to communicate actively during the computation. These include computations where intermediate results from one node's calculations will affect future calculations on other nodes

Contact Us for your clustering requirement