Elasticsearch, built on top of Lucene, can automatically detect and map new fields for users with its dynamic mapping feature. When users index low cardinality fields, such as height and age, they often use numbers to represent these values. Elasticsearch will infer these fields as "long" data types and use the BKD tree as the index for these long fields. As the data volume … [Read more...] about Optimizing Lucene caching: A solution to lock contention
Optimizing
Optimizing cloud resources and cost with APM metadata in Elastic Observability
From left to right, we want to focus on the very first chart. We have the bars representing the CPU as average in green and 95th percentile in blue on top. It goes from 0 to 100% and is normalized, meaning that even with 8 CPU cores, it will still read 100% usage and not 800%. The line graph represents the transaction duration, the average being in red, and the 95th percentile … [Read more...] about Optimizing cloud resources and cost with APM metadata in Elastic Observability