AWS Certified Data Analytics Specialty 2021 - Hands-On! - Amazon Elasticsearch Service Performance

The video tutorial discusses the challenges of memory pressure in clusters, particularly focusing on JVM memory issues caused by unbalanced shard allocations and excessive shards. It emphasizes the importance of managing shards effectively to prevent performance degradation. Solutions include reducing the number of shards by deleting old or unused indices and offloading data to archives like Amazon Glacier. The tutorial provides practical advice for avoiding JVM memory pressure errors, especially in Amazon Elasticsearch environments.

What can cause memory pressure in a JVM when dealing with shards?

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How can unbalanced shard allocations affect performance?

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Why might having too many shards in a cluster be problematic?

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What is a potential solution to reduce JVM memory pressure related to shards?

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What steps can be taken to manage unused indices in order to alleviate memory pressure?

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