When users work with Elasticsearch, they may encounter common errors such as cluster failures, slow queries, or mapping issues. Resolving these problems requires careful monitoring of logs, optimizing queries for efficiency, adjusting configuration settings, and adhering to best practices.
Did you mean to ask a question?
yes @dadoonet
What is your question? Could you be specific?
You can use AI Assistant for various cases and can be very useful. There are many information on Youtube, Elastic blogs, documentation.
If you want the best practice for a specific case, as David said be more specific.
Someone asked a similar Q on Reddit a while back. Around “common pitfalls”.
IMHO, the most common errors are routed in the deployer’s lack of basic /knowledge/experience.
If you start with experienced and knowledgeable people, you will avoid a lot of pain. If you don’t, you learn as you go, which is fine, we all need to learn by doing, ,but it has a bunch of costs, particularly in risk.
Suggestion - @KS_Tomar look through the last few weeks posts here and you’ll get a decently representative sample of real world problems and suggested solutions. IF you can do that, and learn from it, you are in a decent place.
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