Elasticsearch: ELK, Logstash, Kibana
Whether you’re looking for actions from a specific IP address, analyzing a spike in transaction requests, or hunting for a taco spot in a one-mile radius, the problems we’re all trying to solve with data boil down to search. Elasticsearch lets you store, search, and analyze with speed at scale.
What is Elasticsearch logstash?
Elasticsearch and Logstash are integral components of the Elastic Stack, working seamlessly to manage and analyze vast amounts of data. Elasticsearch serves as a powerful distributed search and analytics engine, ideal for storing and retrieving data in real-time. Complementing this, Logstash acts as a data processing pipeline, collecting, transforming, and enriching data before it’s stored in Elasticsearch. Together, they form a robust solution for handling and gaining insights from diverse data sources, making them particularly valuable for applications reliant on efficient log and event data processing.