Documentation Introduction to Astralog
5 min read | June 24, 2026
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Introduction to Astralog

Astralog is a distributed, high-throughput event ingestion engine designed for modern, high-scale architectures.

It bridges the gap between distributed applications (Microservices, Serverless, Edge Functions) and high-performance analytical storage (ClickHouse) by introducing an intelligent, S3-backed “Shock Absorber” layer.

The Ingestion Problem

As systems scale, logging becomes a massive bottleneck. Sending events directly to a traditional database leads to:

  • Write Saturation: Databases struggle with thousands of small, concurrent write operations.
  • Latency Spikes: Your application waits for the database to acknowledge each event, slowing down the end-user experience.
  • Data Loss: If the database goes down or slows down, events are dropped or buffers overflow.
  • Prohibitive Costs: Traditional observability platforms charge high premiums for ingestion and storage.

The Astralog Solution

Astralog solves these issues by decoupling Ingestion from Storage:

  1. Non-Blocking Ingestion: Our native SDKs buffer events in-memory and send them in bulk.
  2. The Shock Absorber: The Astralog engine receives traffic and immediately persists it to S3-compatible storage as compressed GZIP objects. This ensures 99.999% durability at near-zero latency.
  3. Analytical Power: A background worker syncs the data into ClickHouse using large, optimized bulk inserts, enabling sub-millisecond SQL queries on millions of rows.

Why use Astralog?

FeatureThe Astralog Advantage
PerformanceIngest 500,000+ events per second on a single node.
DurabilityEvents are safe in S3 before they ever reach the database.
Cost9.3x average compression. 10x cheaper than enterprise tools.
SimplicityOne Go binary. One S3 bucket. One ClickHouse table.
QueryingPure ClickHouse SQL. No complex new languages to learn.

Who is it for?

  • SaaS Founders: Who need multi-tenant logging for their customers.
  • DevOps Engineers: Who are tired of managing heavy ELK clusters.
  • Platform Teams: Looking to reduce observability bills by 90% using their own cloud infrastructure.

Ready to start?

Get Astralog running on your machine in under 2 minutes with our Quickstart Guide.