In this chapter, we discussed ingest nodes which help us to preprocess and enrich the data within the Elasticsearch cluster itself before the actual indexing takes place. We also covered the concept of federated search in Elasticsearch and how it can be achieved with the help of tribe nodes.
Our next chapter is dedicated to Elasticsearch performance improvements under different loads and the right way of scaling production clusters along with covering insights into garbage collection and hot thread issues and how to deal with them. We will also talk about query profiling and query benchmarking to know which part of the query is taking more time to execute. In the end, we will talk about general Elasticsearch cluster tuning advice under high query rate scenarios versus high indexing throughput scenarios.