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Logstash Learning Roadmap

Server-side data processing — ingest, transform, and ship logs at scale.

Estimated time:2–3 weeks

1🌱

Phase 1 — Fundamentals

Pipeline structure: input/filter/output

Common inputs (beats, file, kafka)

Common outputs (elasticsearch, opensearch)

Codecs (json, plain, multiline)

2🔧

grok patterns for unstructured logs

mutate, date, and json filters

Conditional filtering

Dead-letter queues for failed events

3⚙️

Persistent queues

Backpressure handling

Pipeline-to-pipeline communication

Monitoring Logstash itself

4📈

important

Multiple pipelines & pipeline.yml

Scaling horizontally with Kafka as buffer

Resource tuning (JVM heap, workers)

Comparing Logstash vs lightweight shippers (Filebeat)

Begin with interview questions to assess your current level.