Cloud computing is all the rage. “It’s become the phrase du jour,” says Gartner senior analyst Ben Pring, echoing many of his peers. The problem is that (as with Web 2.0) everyone seems to have a different definition. As a metaphor for the Internet, “the cloud” is a familiar cliché, but when combined with “computing,” the meaning gets bigger and fuzzier. Some analysts and vendors define cloud computing narrowly as an updated version of utility computing: basically virtual servers available over the Internet. Others go very broad, arguing anything you consume outside the firewall is “in the cloud,” including conventional outsourcing. Cloud computing comes into focus only when you think about what IT always needs: a way to increase capacity or add capabilities on the fly without investing in new infrastructure, training new personnel, or licensing new software. Cloud computing encompasses any subscription-based or pay-per-use service that, in real time over the Internet, extends IT’s existing capabilities. Cloud computing is at an early stage, with a motley crew of providers large and small delivering a slew of cloud-based services, from full-blown applications to storage services to spam filtering. Yes, utility-style infrastructure providers are part of the mix, but so are SaaS (software as a service) providers such as Salesforce.com. Today, for the most part, IT must plug into cloud-based services individually, but cloud computing aggregators and integrators are already emerging. Cloud computing is all the rage. “It’s become the phrase du jour,” says Gartner senior analyst Ben Pring, echoing many of his peers. The problem is that (as with Web 2.0) everyone seems to have a different definition. As a metaphor for the Internet, “the cloud” is a familiar cliché, but when combined with “computing,” the meaning gets bigger and fuzzier. Some analysts and vendors define cloud computing narrowly as an updated version of utility computing: basically virtual servers available over the Internet. Others go very broad, arguing anything you consume outside the firewall is “in the cloud,” including conventional outsourcing. Cloud computing comes into focus only when you think about what IT always needs: a way to increase capacity or add capabilities on the fly without investing in new infrastructure, training new personnel, or licensing new software. Cloud computing encompasses any subscription-based or pay-per-use service that, in real time over the Internet, extends IT’s existing capabilities. Cloud computing is at an early stage, with a motley crew of providers large and small delivering a slew of cloud-based services, from full-blown applications to storage services to spam filtering. Yes, utility-style infrastructure providers are part of the mix, but so are SaaS (software as a service) providers such as Salesforce.com. Today, for the most part, IT must plug into cloud-based services individually, but cloud computing aggregators and integrators are already emerging.

Private Cloud – Most Important Advantages And Disadvantages

Private Cloud and its advantages and issues

Private cloud is similar to public cloud except that its services are delivered through a proprietary architecture. As opposed to delivering services to multiple organizations, private clouds offer dedicated services to a single organization.

With public clouds, security is always a concern. Hence organizations that need to secure their data and also maintain direct control over their environments prefer private clouds. This increases their cost, but when security is paramount, there can be no compromise.

On-premise IT manages the private cloud. That requires staffing, management, maintenance, and capital expenses which are borne by the company that deploys it.

Rackspace and VMware deploy private cloud infrastructure for companies looking to reduce their IT footprint. Private clouds take care of the security concern that companies face with public ones. Using a firewall, it limits access to users and reduces worries.

There are some problems however in the market with using private clouds. Some enterprises use virtualization believing it to be private cloud. It may be because some enterprises use virtualization for on-premise infrastructures.

The private cloud offers several advantages like automation, agility, control, cost-efficiency, plus that enterprises control resources and manage costs.

Some of the Concerns Private Cloud Users deal with

Though private clouds are used mainly for their security, however, it is not complete secure. Precautions are taken to ensure security. This includes continuously testing cloud’s security and setting protocols for cloud access. Permissions are granted selectively. Since private clouds are responsible for the infrastructure, the responsibility of protecting their data also rests on them. An in-house team should in place to handle any emergency if it occurs.

Continuous monitoring and testing for weaknesses are the only way as of now for private clouds to maintain security.

To make the best use of a private cloud, its performance should be monitored. A strong design is the starting point of a high-performing cloud. The management decides on the performance standards to meet the required QoS. It is also important to design scalable sites specifically for private clouds. Applications otherwise might suffer from latency and poor performance.

Spikes in demand may result in bandwidth issues and noisy neighbors. To avoid these issues optimization is necessary.

As with other infrastructures, there should be a failover plan or a business continuity plan should a failure occur.

Some applications use more capacity than others. In such cases, cloud bursting is the solution. Using cloud bursting, enterprises can burst an application from the private cloud to the public cloud to meet higher application demands and free up storage capacity. It also helps save some money since public clouds are pay-per-use and mostly cost-efficient.
However, not all applications are meant for cloud bursting. Mission-critical applications or those with sensitive data aren’t for use in public clouds. They must also comply with security regulations.

Cost concerns – Big enterprises have several business units, and they may incur several expenses which needs to be tracked. Enterprises use chargeback. Companies can bill individual teams or department for their cloud usage.

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