kevwan/go-stash

Health v2 · maintenance only

Adoption not part of the score

1224 stars · 152 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

go-stash is a high-performance, open-source server-side data processing pipeline written in Go that ingests data from Kafka, applies configurable filters and transformations, and ships results to ElasticSearch. It claims roughly 5x Logstash throughput and deploys as a single executable or Docker container.

Use cases

• ship kafka logs to elasticsearch
• replace logstash with a faster pipeline
• filter and transform log events before indexing
• ingest kafka topics into elk stack
• drop noisy log entries before indexing
• remove unwanted fields from log documents
• build a lightweight log processing pipeline

When to choose

• you need higher throughput than logstash for kafka-to-elasticsearch flows
• you want a single-binary, easy-to-deploy log pipeline
• your pipeline is simple filtering and field removal on kafka streams

When to avoid

• you need inputs or outputs other than kafka and elasticsearch
• you require logstash's large plugin ecosystem
• you need complex grok-style parsing or enrichment

Facets

application · maturity active

streaming etl search-engine big-data analytics windows go cross-platform logstash-alternative kafka-consumer elasticsearch-indexer log-pipeline data-pipeline data-engineering logging linux macos docker

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markdown · JSON · MCP: product_card(name="kevwan/go-stash")