Elasticsearch 7 and Elastic Stack - In Depth and Hands On! - Index Alias Rotation

The video tutorial discusses strategies for adding capacity to applications using Elasticsearch. It explains the use of multiple indices and index aliases to manage data efficiently without reindexing. The tutorial provides examples of managing log data with aliases, demonstrating how to maintain current and historical data. It also covers alias rotation, syntax, and the benefits of using aliases to handle time-based requests, ensuring server capacity remains manageable.

What is one advantage of creating new indices over reindexing existing ones?

• It automatically updates all indices.

• It is easier to manage and does not affect old indices.

• It improves the speed of data retrieval.

• It requires less storage space.

How does Logstash typically organize log data?

• By storing data in a single file.

• By creating separate indices for each day.

• By creating a single index for all data.

• By using a single alias for all indices.

What is the purpose of using an alias like 'logs_current'?

• To point to the most recent month of data.

• To delete old indices automatically.

• To backup data to a snapshot.

• To merge all indices into one.

What happens when you search an alias that encompasses multiple indices?

• It searches only the most recent index.

• It searches all indices simultaneously.

• It searches all indices sequentially.

• It searches only the first index.

What is a potential benefit of deleting old data from aliases?

• It improves data accuracy.

• It increases the number of indices.

• It automatically updates the alias.

• It frees up space and maintains server capacity.