Elasticsearch 7 and Elastic Stack - In Depth and Hands On! - Introducing Logstash

Logstash is a powerful tool for data processing, acting as a bridge between data sources and destinations like Elasticsearch. It can import data from various sources, transform it, and export it to multiple destinations. Logstash can structure unstructured data, filter, and anonymize it, ensuring legal compliance. It also offers buffering capabilities to manage data spikes and guarantees at least once delivery. Modern usage involves integrating with Filebeat for efficient data handling, while legacy methods involve direct use on servers. The ELK stack has evolved into the Elastic stack, emphasizing the Beats framework.

What is the primary function of Logstash in data processing?

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How does Logstash handle data from multiple sources?

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In what ways can Logstash transform data as it passes through?

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What are some of the output destinations that Logstash can send data to?

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Describe the modern way of publishing web logs into an Elasticsearch cluster.

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