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In today's digital age, organizations generate vast amounts of data that need to be collected, processed, and analyzed in real-time. The ELK Stack, consisting of Elasticsearch, Logstash, and Kibana, has emerged as a popular solution for managing and visualizing this data. This blog post delves into the key components of the ELK Stack, the advantages of using a NoSQL database, the reasons behind Elasticsearch's speed, the mechanics of Elasticsearch sharding, and the importance of observability.
 By Victor Leung
By Victor LeungIn today's digital age, organizations generate vast amounts of data that need to be collected, processed, and analyzed in real-time. The ELK Stack, consisting of Elasticsearch, Logstash, and Kibana, has emerged as a popular solution for managing and visualizing this data. This blog post delves into the key components of the ELK Stack, the advantages of using a NoSQL database, the reasons behind Elasticsearch's speed, the mechanics of Elasticsearch sharding, and the importance of observability.

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