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Discover the best hardware requirements for deploying an Elasticsearch cluster handling 20MB daily data retention for 180 days. Get insights on node configuration and performance optimization.
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Optimal Hardware Recommendations for Your Elasticsearch Cluster Deployment

When deploying an Elasticsearch cluster, especially for the first time, determining the right hardware specifications can be a daunting task. One of the most commonly asked questions in the Elasticsearch community is about the optimal requirements for handling a specific amount of data. In this post, we'll address a scenario where you are working with 20MB of data per day and have a retention period of 180 days. Let's dive into the ideal hardware setup for your use case.

Understanding Your Data Needs

Given your scenario:

Daily Data Generation: 20MB

Time-to-Live (TTL): 180 days

Total Data Size Calculation

First, let's calculate the total data size you will work with over the 180-day retention period:

Total Data = Daily Data x TTL

Total Data = 20MB x 180 = 3600MB or 3.6GB

This amount of data is relatively small, so the good news is that you don't need extensive hardware to support it.

Recommended Hardware Configuration

Node Configuration

In your case, with a data volume of only 3.6GB, you have a couple of options for your Elasticsearch cluster:

Single Node: You can run both the data node and the master node on one machine. This is suitable given that data capacity is not a concern.

Multiple Nodes: If you anticipate growth in data or user queries, it's wise to plan for future scalability by creating multiple nodes later on.

Master and Data Nodes

For the initial setup:

1 Node: This node should serve dual purposes:

Master Node: Controls cluster operations, such as the addition of new nodes and index management.

Data Node: Stores your data, handles queries, and executes data analytics.

Hardware Specifications

When it comes to CPU and memory, it's essential to tailor these specifications based on your anticipated search and indexing traffic. Here are some general guidelines:

CPU: Multi-core processors are recommended, as they will enable parallel processing of queries. A quad-core processor is typically sufficient for smaller data sets.

RAM:

It's recommended to provide at least 8GB of RAM.

Elasticsearch Heap Size: Allocate 50% of your total RAM to Elasticsearch for optimal performance. For 8GB total, this means you will set a heap size of 4GB.

Considerations for Cloud Deployment

If you are using a cloud provider such as AWS to create your Elasticsearch nodes, aim for instance types that fit these requirements. Most cloud providers have options that are sufficiently powerful for your needs.

Summary

To sum up, for a cluster managing 20MB of data a day with a 180-day retention period, a single node setup will suffice.

Hardware Recommendation:

1 Node for both master and data roles.

At least 8GB of RAM (adjust heap size to 50% for Elastics search).

By ensuring these specifications, you can optimize your Elasticsearch deployment while preparing for future growth should your data needs increase. Happy searching!