Elasticsearch 7 and Elastic Stack - In Depth and Hands On! - Choosing Your Cluster's Hardware

The video tutorial provides guidance on setting up Elasticsearch production indexes, focusing on hardware requirements. It emphasizes the importance of RAM, recommending 64GB per machine, with 32GB for Elasticsearch and 32GB for the OS and disk cache. It advises against exceeding 32GB for Elasticsearch to avoid inefficiencies. The tutorial also highlights the need for fast SSDs and proper IO schedulers, while noting that CPU is less critical. A fast network is essential due to data replication. Local SSDs are preferred over network-attached storage. For cloud setups, medium to large configurations are recommended to balance performance and cost.

What is the recommended amount of RAM per machine for optimal Elasticsearch performance?

• 128GB

• 64GB

• 16GB

• 32GB

Why is it advised to use SSDs for Elasticsearch?

• They consume less power

• They provide faster disk IO operations

• They have more storage capacity

• They are cheaper than HDDs

What type of disk redundancy is recommended for Elasticsearch?

• RAID 1

• RAID 5

• No RAID

• RAID 0

Why should network-attached storage be avoided for Elasticsearch?

• It is more expensive

• It can cause performance issues

• It is not secure

• It is difficult to set up

When choosing hardware configurations, why is it recommended to avoid too many small boxes?

• They are harder to manage

• They consume more power

• They may not fit enough indices or shards

• They are more expensive