Most enterprise IT teams are under pressure from leadership to make hybrid happen – in one way or another. Driven by the public cloud’s promise of low costs and unlimited exibility, 71 percent of organizations are now using hybrid cloud (according to RightScale). That number increased by 58 percent during the previous year – which shows that interest and adoption certainly aren’t problems.
Download this eBook to learn about the myths of hybrid cloud and how to build out a successful hybrid cloud strategy.
Today, most enterprises maintain a secondary data center for running their critical applications that they can activate in the event of a disaster ( fire, flood, user error, electrical malfunction, etc.). With the traditional approach, companies need two sets of storage arrays and two copies of applications: one in the primary site and one in the DR site that they have to maintain and scale and, there must be high-speed network connections that provide transport for synchronous or asynchronous data replication between arrays.
Download this paper to learn how Clearsky Data is addressing this challenge.
Many organizations have deployed Splunk to analyze the machine data captured throughout their enterprise. The intelligence in that data can be extremely valuable for detecting trends, troubleshooting problems, investigating security incidents, and providing a wide variety of business insights and answers about their operations.
However, providing high-performance storage for accessing frequently searched data as well as economical storage for enormous amounts of cold and archival data is a challenge facing virtually all enterprises using Splunk. They’re forced to struggle with complex storage infrastructures that require disparate storage technologies and a great deal of administrative complexity.
Forty-two percent of all data will qualify as “machine generated” by 2020, according to IDC. This data is generated almost constantly, in copious amounts – in forms such as application logs, sensor data, business process logs and message queues – and it holds a potential gold mine for CIOs and business leaders. To keep up with data growth and seize its opportunities, companies need the right people and the right tools. One of the most prominent and useful tools for making the most of machine data is Splunk, now in use by an estimated 11,000 enterprises worldwide.
The current model for delivering and storing data emerged decades ago and hasn’t fundamentally changed since then. In a world where data volumes are exploding, and where agility and cost efficiency are crucial to business success, it’s no surprise that IT leaders often cite managing storage as one of their biggest challenges. Key issues plaguing them include the high cost and complexity of managing primary data storage, backup and disaster recovery, and the difficulty in categorizing and managing the performance and availability of data throughout its lifecycle. In addition, they need to respond to changes in how applications are run, which can now be in a traditional data center, colocation facility, private or public. IT is under growing pressure to deliver storage capacity quickly, wherever it’s needed — in an on-demand world, months-long provisioning cycles are no longer acceptable.
This paper examines how security is embedded in the fabric of the ClearSky solution. It describes the mechanisms that ensure customer data is always secure, isolated, and protected from the moment it enters the ClearSky service. It also examines how security is integrated into the design of the components that comprise the ClearSky service. In addition, it describes some of the best practice controls that ClearSky uses to ensure the security of its own operations.
While the ClearSky architecture is a radical departure from traditional enterprise storage, it incorporates security technologies that are very much in the mainstream for protecting data in multitenant cloud environments and in transit in a network. Customers can plug in with confidence, knowing that their data is secure.
Many innovative enterprise technologies and services have emerged in recent years, revolutionizing the way businesses run their applications and data centers. While the storage industry has also greatly evolved, the basic model for storing the data hasn’t changed in decades. With this model, all data is kept on hand for the application that consumes it, no matter how much data there is or how little is regularly used. To hold this data, companies deploy multiple, isolated primary storage systems for different workloads that are separately configured and managed, along with independent backup, archive and disaster recovery systems.
In today’s business environment, the costs, complexity and sheer rigidity of this legacy model have become untenable. In a world where data volumes are exploding, traditional data centers are being supplanted by widely distributed pools of applications and users, and where cloud computing and SaaS models provide a range of options, a new approach is needed.