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What is Sincedb in Logstash?

What is Sincedb in Logstash?

By default, the sincedb file is placed in the data directory of Logstash with a filename based on the filename patterns being watched (i.e. the path option). Thus, changing the filename patterns will result in a new sincedb file being used and any existing current position state will be lost.

Can Logstash read from Kafka?

The Logstash Kafka consumer handles group management and uses the default offset management strategy using Kafka topics. Logstash instances by default form a single logical group to subscribe to Kafka topics Each Logstash Kafka consumer can run multiple threads to increase read throughput.

Can Logstash read from S3?

Logstash is going to need to be able to connect to the S3 bucket and will need credentials to do this. I recommend creating a new account with application/program access and limiting it to the “S3 Read Bucket” policy that AWS has.

What is the difference between Logstash and Filebeat?

The important difference between Logstash and Filebeat is their functionalities, and Filebeat consumes fewer resources. But in general, Logstash consumes a variety of inputs, and the specialized beats do the work of gathering the data with minimum RAM and CPU.

What does Logstash do?

Logstash is a light-weight, open-source, server-side data processing pipeline that allows you to collect data from a variety of sources, transform it on the fly, and send it to your desired destination. It is most often used as a data pipeline for Elasticsearch, an open-source analytics and search engine.

Why is Kafka in Elk?

Kafka acting as a buffer in front of Logstash to ensure resiliency, is the best way to deploy the ELK Stack to reduce logs overload. Apache Kafka is the most common buffer solution deployed together the ELK Stack.

Can Logstash have multiple outputs?

Your Logstash pipeline can use multiple input and output plugins to handle these requirements.

What is better than Logstash?

FluentD and Logstash are both open source data collectors used for Kubernetes logging. Logstash is centralized while FluentD is decentralized. FluentD offers better performance than Logstash. In fact, FluentD offers many benefits over Logstash.

Is Logstash push or pull?

Logstash acts as an aggregator — pulling data from various sources before pushing it down the pipeline, usually into Elasticsearch but also into a buffering component in larger production environments.

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