Elasticsearch is a powerful search engine that fully supports metrics and log monitoring. It is also able to suggest intelligent results based on prior search queries and can easily return accurate results for terms entered with misspellings or near matches. You may have seen Elasticsearch in action when using sites like T-mobile, eBay or Walmart.
While this open-source search engine is free initially and can be hosted for smaller-scale use cases in-house, when it comes to larger organisations it can be extremely difficult and expensive to configure, upgrade and maintain Elasticsearch reliability without risking losing access to data that generates faster than Elasticsearch can ingest and process.
Common errors that can arise from self-managed Elasticsearch include cluster size issues, combinatorial explosions, bloated index templates and improper mapping.