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As technology and IT systems continue to evolve, so do the classification and meaning of data they produce. Regardless of its origin, data is produced in massive amounts, and every IT infrastructure has its own distinct data footprint. This data is composed of structured, unstructured, timestamped, real-time, machine, dark, and other data classifications. Whatever the composition, it is either big data that is primary to the business, or data that is classified as digital exhaust. This secondary type of data is a byproduct of IT systems and consumers.
This byproduct is usually unstructured machine data that is produced from servers, software, network logs, system logs, application logs, online activities, web browsers, Internet of Things (IoT) devices, and more. Even though machine data is secondary to big data, machine data exists in greater volume and has an unknown value. Unfortunately, because of its unknown value, machine data and other digital exhaust are rarely used and are purged. Insight engines, however, remove the obfuscation and bring clarity and value to the data.
This paper discusses using Elasticsearch and Elastic Stack with Dell PowerStore arrays to make the secondary type of data useful. This paper was developed with Elastic Stack deployed on Linux with storage served by a PowerStore 5200T single-appliance cluster. The information in this paper is applicable to other PowerStore models.
The Linux operating system used for this paper was Oracle Linux (OL) 8.5 with the Unbreakable Enterprise Kernel (UEK). The operating system information is applicable to OL7 UEK, and Red Hat Enterprise Linux 7 and 8 versions, but commands, specific processes, and compatible Elastic Stack versions may differ.
Some recommendations in the paper may not apply to all environments and may not be strictly required. For questions about the applicability of these guidelines in your environment, contact your Dell Technologies representative.
While the options for design and deployment of Elastic Stack are numerous and specific to each environment, this document discusses Elastic Stack design and deployment on PowerStore T models. This paper also covers Elastic Stack components and how they work together which will help the reader develop a more robust design and deployment strategy and configuration of their infrastructure.