Meet Elastic Stack infrastructure challenges with HPE Storage

[StorageExperts]

Managing Elastic Search infrastructures can be complex and challenging. Check out the new technical solution brief and video offering details on how HPE Storage solutions are designed to help you meet these challenges.

–By John Elliott, Senior Technical Marketing Engineer, HPE

In today’s quickly shifting business envirounemt, successful enterprises are data driven. In fact, data drives decisions at every level of the organization – from product marketing and placement, to inventory management, and research and development.  Most of that data is generated mechanically or elelectronically by handheld devices, computers,  appliances, websites, and financial transactions, and the list continues to grow. 

Data is being created constantly, to the scale of petabytes, exabytes and beyond. Locked within that data are valuable insights that are essential for the success of enterprise organizations, but due to its size and rapid growth, conventional data management and analysis tools are totally ineffective. Sophisticated tools such as Elastic Stack are required.

Powerful software tools often place heavy demands on hardware infrastructure, data center staff, and data center resources, such as energy for operation and cooling, floor space and rack space. The cost of meeting those demands increases as data grows and workloads increase. Time and resource optimization are critical to the success of Elastic Stack deployment and maintenance. Data resilience and availability are even more important. To meet these requirements, the compute, network, and storage infrastructure must be highly scalable and reliable, while meeting the performance requirments of Elastic Stack. 

Here's what an Elastic Stack infrastructure built on the HPE product portfolio can do

With HPE Alletra storage, HPE ProLiant servers, and HPE Aruba network switches, you’ll get the hardware redundancy and reliability to achieve 99.9999% availability and higher. In addition, HPE InfoSight, powered by artificial intelligence, monitors your infrastracture 24/7.  With its predictive analytics, unexpected growth is no longer a challenge. Your infrastructure can be scaled proactively to ensure predictabile performance and sufficient storage capacity. Potential break/fix issues can be identified and resolved before they develop.  Performance issues can be resolved much more quickly, and many issues can be avoided altogether.  Rather than spending evenings and weekends tracking down tricky performance issues and performing unexpected repairs, valuable data center staff are able to focus on projects and initiatives that increase the success of the organization.

Using HPE Alletra storage arrays for Elasticsearch data decouples compute from storage, such that both resources can be scaled independently of each other.  Compute does not have to added to increase storage capacity and vice versa, resulting in higher utilization of both, and a reduction in unused resources.  Consequently, scaling the infrastructure to accommodate data growth and increases in workload becomes less expensive in terms of hardware, incremental floorspace, and incremental energy costs for cooling and operation.

HPE Alletra dHCI goes a step further. You’ll also get a single-pane-of-glass control plane based on Vcenter, fast setup, additional redundancy, and high scalability. One HPE Alletra dHCI cluster can scale out to 32 ESXi hosts, and the implementation of multiple clusters provides an even higher degree of scalibility for your Elastic Stack deployment.

To learn more about how HPE can help meet the challenges of running Elastic Stack, check out these new resources:

Technical solution brief: HPE Storage Solutions for Elastic Stack. Get an overview of HPE storage solutions and the value-add for Elastic Stack

Video: HPE Storage Solutions for Elastic Search.  See a demonstration of Elastic Stack and HPE InfoSight.

---

Meet Server Experts blogger John Elliott, Senior Technical Marketing Engineer, HPE

A member of the Worldwide Storage Solutions group at HPE, John has worked in the storage industry for more than 20 years. He specializes in in big data, and analytics, including Elastic Stack and Splunk. Connect with John on LinkedIn.

Storage Experts
Hewlett Packard Enterprise

twitter.com/HPE_Storage
linkedin.com/showcase/hpestorage/
hpe.com/storage