What are some effective data ingestion techniques for the ELK stack?
There are several techniques for ingesting data into the ELK stack, including Logstash, Beats, and Elasticsearch's REST API.
Can you explain how Logstash works for data ingestion?
Logstash is a data processing pipeline that ingests data from various sources, transforms it, and sends it to your desired destination, like Elasticsearch.
What are Beats and how do they differ from Logstash?
Beats are lightweight data shippers that send data directly to Logstash or Elasticsearch, while Logstash is more versatile and can handle complex data processing.
Are there any best practices for using these tools?
Yes, some best practices include optimizing your pipeline configuration, using filters wisely, and monitoring performance to ensure efficient data ingestion.
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