Logstash Filters and Pipelines
Explore advanced Logstash configuration, including conditional logic, multiple pipelines, and custom filters for intricate data transformations.
Intro to Advanced Logstash
Welcome to an advanced look at Logstash! So far, you've learned how to get logs into Logstash and apply basic filters. But what happens when your data gets more complex?
In this lesson, we'll explore powerful techniques like conditional logic, managing multiple pipelines, and leveraging advanced filters for intricate data transformations. This will help you handle real-world logging challenges.
Conditional Logic: The 'if' Statement
Not all logs are created equal! You might have different log formats coming from various services, or you might want to process events differently based on their content.
Conditional logic allows Logstash to apply filters or outputs only when certain conditions are met. This is achieved using if statements, similar to programming languages.
- Use
ifto check field values, tags, or other event properties. - Apply specific filters or actions only to matching events.
All lessons in this course
- Elasticsearch Query Language (DSL)
- Logstash Filters and Pipelines
- Kibana Discover and Lens
- Index Lifecycle Management (ILM)