Monthly Archives: January 2010

Microsoft Online Services / BPOS in India !

Posted on   by  Betrand

Microsoft recently launched its Online services called Business Productivity Online Standard Suite (BPOS) in India, which comes with powerful productivity capabilities of Microsoft Exchange Server, Microsoft Office SharePoint Server, Microsoft Office Communications Server, and Microsoft Office Live Meeting —all hosted online and all up and running quickly and easily without the upfront costs of an on-premise deployment. The suite of productivity tools enables your workers to communicate and collaborate effectively, while enabling your IT team to focus on more business-critical tasks. And with services hosted by Microsoft, you can have peace of mind knowing that experts are managing your IT and that your services will be available when you need them.

Seems like Microsoft changes the name from HostSpark to BPOS to compete with Google Apps. However as a partner of Microsoft Online Services / BPOS, IBEE offers discounted prices on setup, integrate and migration to Microsoft Online Services.

Click here for more details on pricing and how to enroll for Microsoft Online Services.

Contact IBEE at 09949922500 / mail at info@ibeehosting.com for more details.

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What is Cluster Web Hosting?

Posted on   by  Betrand

To understand about Cluster Web Hosting, first you need to know what is Cluster computing. In this article i discuss about how to use cluster computing for Web hosting needs and increase the profits for web hosting companies.

Cluster Computing:
Cluster Computing means getting the large and complex computations done by using multiple computers or computational resources. In other words, It is a group of internally linked computers working together as a single computer. All the computers or computational resources may or may not be connected through LAN. Clusters are used mostly for enhancing the performance and scalability for a single computer and it is a cost-effective solution. In other terms it can used for Load Balancing and High Availability with 99.99% uptime.

Different types of clusters are High Availbility clusters, Load Balancing clusters, Compute Clusters and Grid Computing. Clustering has been available since 1980′s, used for Mainframes. A typical example for a new age cluster is a Load Balancing cluster used for Huge Traffic website.

Using the Cluster technique in Web hosting, you can achieve the scalability, uptime and redundancy. You can use Load Balancing cluster technique for Shared Web Hosting servers to counter high need of CPU resources and disk space. By dividing the tasks performed by one server into multiple tasks and assigning each to one computational resource and managing all of them using open source projects like Linux HA; you can cluster the web hosting servers.

More information about how to use cluster computing for Web Hosting companies can be available at a request. Contact IBEE at 09949922500 or mail to info@ibeehosting.com for more information.

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What is the difference between Cloud computing and Grid Computing?

Posted on   by  Betrand

You might have heard many times about these buzz words Cloud Computing and Grid Computing by now and you might be really thinking about what is the real difference about these two technologies. Everyone talks about Cloud nowadays, what actually is cloud and grid? here l discuss about the similarities and differences between Grid and cloud computing.

Both Cloud and Grid computing are Scalable. Cloud computing evolved from Grid computing. you might have heard about SaaS, IaaS and PaaS. All these buzz words have a link with cloud and Grid computing. All of them are inter linked. Grid is mostly used for High intensive computational requirements where as cloud can be used for High CPU usage, High storage and bandwidth etc.

Cloud Computing:
Using Cloud Computing, companies can scale upto High capacities immediately without investing in new infrastructure, training the people or new software licensing. It is more useful for small and medium scale businesses who wants to outsource their Data Center infrastructure, or some larger companies also prefer if they want to cut down the costs of building data-centers internally in order to get peak load capacity. In short, consumers use what they need and pay accordingly.

Additional advantages for the consumer are, they no longer has to be at a computer to use the application. they can access it by using smartphones, PDA or which the medium Cloud supports. By adopting cloud, consumer does not need to own the infrastructure, software and also consumer doesn’t need to worry about the network maintenance. By choosing this he can reduce the capital expenses, Upfront costs and operating expenses.

Grid Computing:
Grid Computing is the parent of Cloud computing, cloud actually evolves from Grid Computing. Grid is more useful in provisioning resources on-demand. Some people say Grid computing can also be called Cloud computing but it depends on what type of users using the Grid, if they are system administrators and integrators, they bother about how things are maintained in the Cloud and their work is to upgrade, install and virtualise the servers and applications. Consumers don’t care about how things are running at the system end, they simply try to check whether their application is working or not.

Grid Computing needs a software to divide and farm out into pieces of a program as one large system image to several thousands of computers. Major disadvantage with Grid Computing is, if one piece of software on a node fails, other pieces of the software on the other nodes may fail. It can be rectified by installing a failover component on other nodes, but when some components depend on other components the same problem may arise. To Build and Manage a Grid you may incur huge capital and operational expenses.

Some of the concerns i still have with Cloud and Grid computing are: Security, Privacy, Network latency when integrating with in-house sytems or during peak loads and hidden costs etc. Though scalability is the common factor between the Grid and Cloud Computing and scalability can be achieved by using load balancing techniques and connecting application through web service but Scalability in Grid is, for a company who wants to scale their computational resources and scalability in cloud is, for a consumer who wants to scale their application resources.

Contact IBEE for more information about Grid and Cloud computing at info@ibeehosting.com

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