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Tag Archives: Elasticsearch

Getting Started with ELK Stack on WildFly

Your typical business application would consist of a variety of servers such as WildFly, MySQL, Apache, ActiveMQ, and others. They each have a log format, with minimal to no consistency across them. The log statement typically consist of some sort of timestamp (could be widely varied) and some text information. Logs could be multi-line. If you are running a cluster of servers then these logs ...

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5 Reasons You Should Stop Hosting Your ELK Stack Locally

The hosted ELK stack: Centralizing and managing your logs for fun and profit You don’t look a gift-horse in the mouth. Especially if it’s not a horse and actually an elk. It will poke you with its antlers. Or get drunk on fermented apples and trash your backyard. That’s an occupational hazard we’re willing to accept though so let’s take ...

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Fixing Elasticsearch Allocation Issues

Last week I was working with some Logstash data on my laptop. There are around 350 indices that contain the logstash data and an index that holds the metadata for Kibana 4. When trying to start the single node cluster I have to wait a while, until all indices are available. Some APIs can be used to see the progress ...

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Use Cases for Elasticsearch: Analytics

In the last post in this series we have seen how we can use Logstash, Elasticsearch and Kibana for doing logfile analytics. This week we will look at the general capabilities for doing analytics on any data using Elasticsearch and Kibana. Use Case We have already seen that Elasticsearch can be used to store large amounts of data. Instead of ...

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Use Cases for Elasticsearch: Index and Search Log Files

In the last posts we have seen some of the properties of using Elasticsearch as a document store, for searching text content and geospatial search. In this post we will look at how it can be used to index and store log files, a very useful application that can help developers and operations in maintaining applications. Logging When maintaining larger ...

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Use Cases for Elasticsearch: Geospatial Search

In the previous posts we have seen that Elasticsearch can be used to store documents in JSON format and distribute the data across multiple nodes as shards and replicas. Lucene, the underlying library, provides the implementation of the inverted index that can be used to search the documents. Analyzing is a crucial step for building a good search application.   ...

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My Exprience using ElasticSearch NodeJS and ExpressJS

General requirement Part of a system I am currently working on is manipulating raw data. The data being sent from multiple client devices (Android/Iphone devices, etc..) ~ 100,000 requests per day. The raw data needs to be collected and ready for later use. It gotta be searchable and aggregated for calculations. I had little experience with Solr but this time ...

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