Introduction In this last article we will see together how you can monitore and troubleshoot your Elasticsearch cluster. Let’s start with Elasticsearch Responses. Elasticsearch Responses HTTP Errors As explained in previous articles, Elasticsearch uses the REST APIs. Several HTTP responses status can be displayed : Index Response Body Write operations like delete, index, create and update return shard information : “_shards”: …

Elastic Search Series : Monitoring and Troubleshooting Read More »

Introduction Elasticsearch Aggregations provide you with the ability to group and perform calculations and statistics (such as sums and averages) on your data by using a simple search query. An aggregation can be viewed as a working unit that builds analytical information across a set of documents.  Let’s see together different types of aggregations ! …

Elastic Search Series : Aggregations Read More »

Introduction In this article we will see 2 important concepts related to Elasticsearch : Mappings and Text Analysis. Let’s start with mappings ! Mappings Mapping is the process of defining how a document, and the fields it contains, are stored and indexed. For instance, use mappings to define: A mapping contains : In many uses …

Elastic Search Series : Text Analysis and Mappings Read More »

Communication through ElasticSearch There are 2 important network communication mechanisms in Elasticsearch to understand : The REST APIs of Elasticsearch are exposed over HTTP. The HTTP module binds to localhost by default and the default port is the first available between 9200-9299. Each call that goes from one node to another uses the transport module. …

Elastic Search Series : Nodes and Shards Read More »

Recall and Precision Through Elasticsearch we have seen previously that we can send queries in order to get results. There are 3 important principles related to this with Elasticsearch : Basic search examples In this example, we search all documents with the word “morgan” or “freeman” in the field content in the “blogs” index ; …

Elastic Search Series : Queries Read More »

Introduction In this new series, we will discuss about Elastic Search. This search Engine developed in Java is now very popular. It provides a distributed search engine with an HTTP Interface and schema-free JSON documents. Let’s see the fundamentals together ! Overview Elastic is based on Lucene Library which is a free search engine software …

Elastic Search Series : Fundamentals Read More »

Introduction Splunk and ELK Stack (Elasticsearch, Logstash, and Kibana) are the “big 2” log analytic engines on the market. They have a lot in common and it’s pretty tricky to find which one suits your needs. They capture, index, and correlate real-time data in a searchable repository from which it can generate graphs, reports, alerts, dashboards, and …

Splunk vs ELK Stack Read More »