Hybrid Cloud

Open Hybrid Cloud and Big Data

Published On July 29, 2013 | By Kelly Passarelly | Internet

Most small businesses think in terms of gigabytes and megabytes, but big data in large corporations extends to terabytes, petabytes and even exabytes. This data extends over multiple nodes in a cluster to facilitate fast transactions, which are typically coded in structured query language (SQL). A hybrid cloud is used to balance the load between internal network databases and the “spillover” that occurs during high volume work hours.

Hybrid cloud architecture facilitates a load-balancing feature that detects high volume hours when the business servers are busy handling multiple requests. The balancing feature evaluates the load on the current internal servers including CPU and memory usage. If the resource usage is over a certain percentage, the load balancer redirects the traffic to a server that has most of its resources available. This can span over multiple servers, so the data clusters work in parallel to request and serve up the data to the user.

Big data

While this method seems excessive for small businesses, the term “big data” refers to very large amounts of data that can take years to accumulate. Some businesses can archive this data to reduce the load of data stored and queried, but for large companies, this data must be available for years. For instance, a large e-commerce store must keep records of each customer’s order. Archiving those records would disallow the customer from seeing older orders, so the tables can increase in size to several terabytes in storage capacity. Hybrid clouds can allow the business to keep these records online without the need to archive and delete records in the orders table.

Hybrid clouds can also be used to serve up reports and analytical application pages. Reporting servers don’t typically serve real-time data, but they too can grow to several terabytes of storage data. The hybrid cloud host can also ensure that data is served to geographically targeted users, meaning the closest data center sends the request to the user. Close proximity also helps reduce load time for the user, so large reports are displayed in the most efficient manner.

IT professionals can set up the hybrid using internal hardware, or the cloud hosting staff can help the business set up a hybrid that integrates hosting services and the internal network. The architecture can be an add-on to existing network architecture, so business traffic and applications remain unaffected.

The conversion is seamless as long as the company works with the cloud host to move data and configure the system to dynamically work with the large blocks of data storage.

The most important implementation procedures should focus around performance and security. For most cloud hosting companies, security is covered, but the data that travels in the cloud to the cloud host must be encrypted from the internal network. Performance is always an issue for companies that store large data, but it can be handled using high-powered data centers that transfer to the hybrid dynamically using load balancers.

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