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.
This paper examines how the ClearSky architecture and its Smart Tiered CachingTM map to the Splunk architecture to match the high performance of local storage as well as cloud-based economics.
Download this webinar replay with Storage Switzerland president and founder, George Crump to learn which storage architecture is best for splunk analytics.
George Crump and Neil Glazebrook are discussing the pros and cons of the three most common storage architectures for Splunk, enabling you to decide which makes the most sense for your organization.
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.
Download this white paper to learn how ClearSky Data is reinventing high-performance storage for splunk
Data is the lifeline of the digital enterprise. Machine data is the fastest-growing segment, projected to increase 15 times by 2020. Analyzing this data presents a tremendous opportunity, but scaling infrastructure to manage it presents an equally large challenge.
This solution brief takes you through 5 important things Splunk customers should know about data storage.