tcp cloud's technology for continuous delivery of cloud infrastructure will be integrated with Mirantis OpenStack, enabling Mirantis to manage customer infrastructure "as a code" and perform seamless rolling updates.

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Today the term big data draws a lot of attention, but behind there is a simple story. For decades, companies have been making business decisions based on transactional data stored in relational databases. Beyond that critical data, however, is a potential treasure trove of non-traditional, less structured data: weblogs, social media, email, sensors, and photographs that can be mined for useful information. Decreases in the cost of both storage and compute power have made it feasible to collect this data - which would have been thrown away only a few years ago. As a result, more and more companies are looking to include non-traditional yet potentially very valuable data with their traditional enterprise data in their business intelligence analysis. Big Data is usually administered in high performance cloud computing environment. This data is sets in files whose size can not capture, manage and process commonly used software tools. tcp cloud offers openssource solution to acquire and organize these diverse data types and analyze them alongside your existing data to find new insights and capitalize on hidden relationships. With the support of Hadoop and Spark, which are tools for processing Big Data as well as upcoming support fordatabases like Cassandra and MongoDB it still comes a difficult task within a bare-metal deployment of the infrastructure over which these services will be launched. This architecture changes the dynamic group of these machines into pools of compute, storage and network resources. While providing a high availability infrastructure for running multiple distributed development frameworks. It means more speed in providing an infinite number of virtual IT resources for end-users on the contrary for administrators it provides maximum simplicity of liberty in adding and removing physical performance in their own private cloud. The ability to control storage policy means that it is possible to assign individual drives Poolum. Whether there is any big, temporary Voluma for Hadoop workloads or high-performance block devices for NoSQL datastore, it will never need these hard drives divide.