Powering your Elasticsearch Solution with Dell PowerEdge Servers and Intel® 4th Generation Xeon® Processors
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Summary
This joint paper outlines a brief discussion on the key hardware considerations when configuring a successful deployment and recommends configurations based on Dell 16th Generation PowerEdge servers.
Elasticsearch is a distributed, open-source search and analytics engine for all types of data including textual, numerical, geospatial, structured, and unstructured. This proposal contains recommended configurations for Elasticsearch clusters on the Kubernetes platform (Red Hat OpenShift Container Platform with Elastic Cloud on Kubernetes (ECK) operator) running on 16th Generation Dell PowerEdge servers with 4th Generation Intel Xeon Scalable processors.
Key considerations
- Faster and scalable performance - Elasticsearch running on the latest Dell PowerEdge servers is built on high-performing Intel architecture and configured with 4th Generation Intel Xeon Scalable processors. Indexing is faster and capacity can scale with your needs.
- Better energy and data center space efficient - Running Elasticsearch on the latest generation of PowerEdge servers can save energy and power an even more effective search experience. Moving to the latest generation of PowerEdge servers based on Intel Xeon can help reduce emissions, protect our environment, and reduce operating costs.
- Reduced search times and increased number of concurrent searches - As data grows and needs to be accessed across the cluster, data-access response times are critical, especially for real-time analytics applications. Elasticsearch running on the latest PowerEdge servers is built on high-performing Intel architecture, including Intel Ethernet network controllers, adapters, and accessories to enable agility in the data center and support higher throughput with low latency response times.
- Index more data - Elasticsearch can handle and store more data by increasing DRAM capacity and using PCIe Gen 4 NVMe disk drives. PowerEdge R760 servers are ideally suited to this requirement with memory capacity of up to 8TB and storage expansion of up to 24 high performance NVMe drives.
- Easy and secure installation - The Elastic Cloud on Kubernetes (ECK) operator is an official Elasticsearch operator certified on the Red Hat OpenShift Container Platform, providing ease of deployment, management and operation of Elasticsearch, Kibana, APM Server, Beats, and Enterprise Search on OpenShift clusters. Elasticsearch clusters are secure by default (with enabled encryption and strong passwords).
- Multi Data Tiers - As data grows, costs do not also need to increase. With multiple tiers of data, you can extend capacity and drive storage costs down without performance loss. Each capacity layer can be scaled independently by using larger drives or mode nodes (or both), depending on your needs.
Available configurations
Elasticsearch cluster on Kubernetes (Red Hat OpenShift Kubernetes) platform | ||
| OpenShift Control Plane Master Nodes | Elasticsearch Master / Ingest / Hot tier data nodes |
Functions | OpenShift services, | Elasticsearch roles: |
Platform | Dell PowerEdge R760 chassis with up to 24x2.5” NVMe Direct Drives | |
CPU | 2 x Intel Xeon Gold 6430 processors | 2 x Intel Xeon Platinum 8460Y+ processors |
DRAM | 128GB (16x 8GB DDR5-4400) | 512 GB (16 x 32GB DDR5-4800) |
Boot Device | Dell BOSS-S2 with 2x 240GB or 2x 480GB M.2 SATA SSD (RAID1) | |
Storage adapter | Not needed for all-NVMe configurations | |
Storage (NVMe) | 1x 1.6TB Enterprise NVMe Mixed-Use AG Drive U.2 Gen4 | 2x (up to 24x) 3.2TB Enterprise NVMe Mixed-Use AG Drive U.2 Gen4 |
NIC | Intel E810-CQDA2 for OCP3 (dual-port 100GbE) |
Learn more
Contact your Dell account team for a customized quote 1-877-289-3355.
Read the doc: What is Elasticsearch?
Read the doc: Data tiers | Elasticsearch Guide
Read the blog: Elastic Cloud on Kubernetes is now a Red Hat OpenShift Certified Operator