![]() ![]() Kibana is a visualization layer that works on top of Elasticsearch, providing users with the ability to analyze and visualize the data. To replace its log processing capabilities, most turn to lightweight alternatives like Fluentd, which can also collect logs from data sources and forward them to Elasticsearch. It’s important to know that many modern implementations of ELK do not include Logstash. Logstash is a log aggregator that collects data from various input sources, executes different transformations and enhancements and then ships the data to various supported output destinations. The introduction and subsequent addition of Beats turned the stack into a four legged project.Įlasticsearch is a full-text search and analysis engine, based on the Apache Lucene open source search engine. Up until a year or two ago, the ELK Stack was a collection of three open-source products -The ELK Stack began as a collection of three open-source products - Elasticsearch, Logstash, and Kibana - all developed, managed and maintained by Elastic. Logz.io made this migration to stay true to the open source community, and to pass the OpenSearch product advantages to our customers. Logz.io’s fully-managed log management platform is built around OpenSearch and OpenSearch Dashboards – which eliminates the need to install, scale, manage, upgrade, or secure the logging stack yourself, while unifying your logs with metric and trace data. These differences also motivated Logz.io’s migration from ELK to OpenSearch. Learn more about these technologies in our guide. ML tools are premium features in Elasticsearch.įor these reasons, combined with the project’s commitment to remaining open source under the Apache 2.0 license, Logz.io recommends OpenSearch and OpenSearch Dashboards over the ELK Stack.
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