
When designing a storage infrastructure for an artificial intelligence (AI) or deep learning (DL) workload, the default assumption is that an all-flash array (AFA) or something even faster must be at the heart of the design. The problem is as…
When designing a storage infrastructure for an artificial intelligence (AI) or deep learning (DL) workload, the default assumption is that an all-flash array (AFA) or something even faster must be at the heart of the design. The problem is as…
Organizations need to re-think their storage architectures for the data-driven economy. How an organization captures, stores, and analyzes data, can dictate how successful it might be in this new economic model where data drives organizations. The data-driven economy is not…
How to Build a Multi-Cloud Data Pipeline for AI, ML and DL Artificial intelligence (AI), machine learning (ML) and deep learning (DL) are experiencing rapid adoption in a number of use cases, including autonomous vehicles, pharmaceutical drug research, predictive maintenance,…
Enterprises use Splunk because it derives insights from information that organizations already have. It is clear that the more information that is available to the environments the more valuable the applications are. Ideally, organizations want to store all data relevant…
Version 7.3 of the Splunk Enterprise machine data analytics and visualization platform is now available, and with it will come enhanced, more enterprise and production-grade support for Splunk’s SmartStore capability. This is significant because SmartStore stands to greatly lower the…
The need to solve data problems at scale is arguably the most prominent storage driver today — whether hardware, software or cloud services. In this regard, Splunk is quickly becoming a textbook use case. Splunk is an application that analyzes…
Solving the Data Management Challenges Created by Growth in Splunk Usage One of the biggest challenges when it comes to generating business intelligence from large, distributed datasets like Splunk is meeting very large capacity and very fast search performance requirements…
Splunk is one of the most broadly adopted analytics applications on the market today. The primary reason for its popularity is it analyzes data that organizations already have, like log and metadata generated from IT operations, enterprise security and various…
Splunk SmartStore enables organizations to achieve a high degree of compute/storage elasticity and makes it possible to achieve longer data retention without compromising performance or breaking the budget. A critical component of SmartStore is the storage system that it uses…
Previously, Storage Switzerland wrote about the need to be able to scale compute and storage independently, when it comes to serving distributed Splunk data sets for business intelligence. In this blog, we investigate Splunk’s recently launched SmartStore capability, and how…