Reader small image

You're reading from  Elasticsearch 5.x Cookbook - Third Edition

Product typeBook
Published inFeb 2017
Publisher
ISBN-139781786465580
Edition3rd Edition
Right arrow
Author (1)
Alberto Paro
Alberto Paro
author image
Alberto Paro

Alberto Paro is an engineer, manager, and software developer. He currently works as technology architecture delivery associate director of the Accenture Cloud First data and AI team in Italy. He loves to study emerging solutions and applications, mainly related to cloud and big data processing, NoSQL, Natural language processing (NLP), software development, and machine learning. In 2000, he graduated in computer science engineering from Politecnico di Milano. Then, he worked with many companies, mainly using Scala/Java and Python on knowledge management solutions and advanced data mining products, using state-of-the-art big data software. A lot of his time is spent teaching how to effectively use big data solutions, NoSQL data stores, and related technologies.
Read more about Alberto Paro

Right arrow

Introduction


In Elasticsearch ecosystem, it can be immensely useful to monitor nodes and cluster to manage and improve their performance and state. There are several issues that can arise at cluster level, such as:

  • Node overheads, where some nodes can have too many shards allocated and can become a bottleneck for the entire cluster

  • Node shutdown can happen due to many reasons, for example, full disks, hardware failures, and power problems

  • Shard relocation problems or corruptions, in which some shards are unable to get an online status

  • Too large shards happens when a shard is too big; the index performance decreases due to Lucene massive segments merging

  • Empty indices and shards waste memory and resources, but because every shard has a lot of active threads if there is a huge number of unused indices and shards, the general cluster performance is degraded

  • Node problems such as high CPU usage or disk full

Detecting malfunction or bad performances can be done via API or via some frontends that are...

lock icon
The rest of the page is locked
Previous PageNext Page
You have been reading a chapter from
Elasticsearch 5.x Cookbook - Third Edition
Published in: Feb 2017Publisher: ISBN-13: 9781786465580

Author (1)

author image
Alberto Paro

Alberto Paro is an engineer, manager, and software developer. He currently works as technology architecture delivery associate director of the Accenture Cloud First data and AI team in Italy. He loves to study emerging solutions and applications, mainly related to cloud and big data processing, NoSQL, Natural language processing (NLP), software development, and machine learning. In 2000, he graduated in computer science engineering from Politecnico di Milano. Then, he worked with many companies, mainly using Scala/Java and Python on knowledge management solutions and advanced data mining products, using state-of-the-art big data software. A lot of his time is spent teaching how to effectively use big data solutions, NoSQL data stores, and related technologies.
Read more about Alberto Paro