Go-powered tooling is showing up across three threads: a high-throughput data replication tool, durable workflow orchestration with Go and PostgreSQL, and a Go module proxy backed by SQLite storage.
Post 1 — High-throughput replication with Go OLake's high-throughput replication tool runs on Go and is pitched as the fastest data replication tool in the world [1]. It ties into the Iceberg Go ecosystem, with a partitioned fan-out writer and efficient Parquet flush as target files fill up [1]. The runtime’s concurrency model helps coordinate partition writers, batching, and backpressure, while small static binaries make edge and sidecar ingestors easy to ship [1]. Benchmarks are showcased to back the claims [1].
Post 2 — Durable workflow orchestration with Go and PostgreSQL DBOS is a library you can install into your app, offering durable workflow execution with Go and PostgreSQL—checkpoints let a failed workflow recover from the last completed step [2]. The project contrasts its model with external orchestrators, noting bindings across languages (Python, TypeScript, Java coming soon) and self-hosted recovery options [2]. Native queue priorities are supported, helping multi-workflow mixes stay responsive [2].
Post 3 — Go module proxy – sqlite3 storage A Show HN post highlights a Go module proxy backed by SQLite storage from astera (the repo linked in the discussion) and a weak cache model [3]. This lightweight storage pairing demonstrates Go’s suitability for local module provenance with compact binaries and offline-friendly workflows [3].
Closing thought: Go is enabling end-to-end, reliable data pipelines—from edge capture to module hosting—without heavyweight runtimes or JVM tails.
References
We built the fastest data replication tool in the world using Go
Go-based high-throughput replication tool enables partitioned Iceberg writes, direct ingestion path, cooperation with Iceberg-go ecosystem, and community collaboration and benchmarks.
View sourceDbos: Durable Workflow Orchestration with Go and PostgreSQL
Discusses DBOS durability, architecture vs Temporal; library embedding; multi-language bindings; recovery, scaling, versioning, and observability via Postgres control-plane design debates.
View sourceShow HN: Go Module proxy – sqlite3 storage
Shows a Go module proxy backed by SQLite3 with a weak cache, sharing a GitHub project for storage implementation details.
View source