# LogPulse

> AI-powered log management platform for modern engineering teams. Search, detect anomalies, analyze with LPQL, and build robust ETL pipelines.

For full content including complete blog posts, see [llms-full.txt](https://logpulse.io/llms-full.txt).

LogPulse is an affordable alternative to Splunk, Datadog, and Elastic for log management and observability. Built on ClickHouse for sub-200ms search across billions of log entries.

## Key Features

- **LPQL Search**: A purpose-built query language that compiles to optimized ClickHouse SQL. Sub-200ms P95 search latency.
- **AI Anomaly Detection**: Z-score based anomaly detection with configurable sensitivity. Integrates with Slack, email, and Microsoft Teams for alerts.
- **Cloud Integrations**: Planned native integrations with AWS, GCP, Azure, Kubernetes, and Docker.
- **Visual ETL Pipelines**: Drag-and-drop pipeline builder with 18 node types for log transformation, filtering, and routing.

## Documentation

- [Quickstart Guide](https://logpulse.io/docs/getting-started/quickstart): Ship your first log in 5 minutes
- [LPQL Syntax Reference](https://logpulse.io/docs/search/lpql-syntax): Complete query language reference
- [AI Query Generator](https://logpulse.io/docs/search/ai-query-generator): Natural language to LPQL query conversion
- [Anomaly Detection](https://logpulse.io/docs/anomaly-detection/overview): AI-powered anomaly detection with z-score baselines
- [Alerting & Notifications](https://logpulse.io/docs/anomaly-detection/alerting): Set up alerts and anomaly detection
- [Cloud Setup](https://logpulse.io/docs/integrations/cloud-setup): Connect Azure DevOps, GitHub Actions, and Railway
- [HTTP API Reference](https://logpulse.io/docs/integrations/http-api): REST API for log ingestion and querying
- [Vector Agent Setup](https://logpulse.io/docs/integrations/vector-agent): Configure Vector for log forwarding
- [Kubernetes Integration](https://logpulse.io/docs/integrations/kubernetes): Deploy on Kubernetes with Helm
- [Building Pipelines](https://logpulse.io/docs/etl/building-pipelines): Visual ETL pipeline builder
- [Dashboard & UI](https://logpulse.io/docs/platform/dashboard): Navigate the LogPulse dashboard
- [Authentication](https://logpulse.io/docs/platform/authentication): Auth, roles, and team management
- [Data Retention](https://logpulse.io/docs/platform/data-retention): Storage plans and retention policies

## API

- **Base URL**: `https://api.logpulse.io`
- **Ingest Endpoint**: `POST /api/v1/logs` — Send single log or array of logs
- **Query Endpoint**: `GET /api/v1/logs?query=<LPQL>` — Search logs with LPQL
- **Authentication**: Bearer token via `Authorization` header

### Log Schema

```json
{
  "level": "info | warn | error | debug | trace",
  "event": "string or structured object",
  "source": "service-name",
  "attributes": { "key": "value" }
}
```

All fields are optional with sensible defaults.

## Pricing

LogPulse is currently in beta with founder pricing:
- **Starter**: Free — Up to 5 GB/day, 14-day retention
- **Growth**: Founder pricing (locked for 12 months) — Up to 50 GB/day, 30-day retention
- **Enterprise**: Custom pricing — Unlimited ingestion, 90-day retention

## Blog

- [Why We Built LogPulse on ClickHouse](https://logpulse.io/blog/why-we-built-logpulse-on-clickhouse): How ClickHouse gives us sub-200ms search across billions of log entries — and why we chose it over Elasticsearch.
- [Introducing Visual ETL Pipelines](https://logpulse.io/blog/introducing-visual-etl-pipelines): Build complex log transformation pipelines with our new drag-and-drop editor. No code required.
- [The True Cost of Log Management in 2026](https://logpulse.io/blog/true-cost-of-log-management-2026): We analyzed pricing from Splunk, Datadog, and ELK. Here is what 100GB/day actually costs — and how to cut it by 100x.
- [LPQL: A Query Language Designed for Speed](https://logpulse.io/blog/lpql-a-query-language-designed-for-speed): Deep dive into LPQL architecture: how we parse, optimize, and execute queries against ClickHouse in under 200ms.

## Links

- [Homepage](https://logpulse.io)
- [Blog](https://logpulse.io/blog)
- [Documentation](https://logpulse.io/docs/getting-started/quickstart)
- [Comparison vs Splunk/Datadog/ELK](https://logpulse.io/compare)
- [Security](https://logpulse.io/security)
- [Changelog](https://logpulse.io/changelog)
- [Contact](https://logpulse.io/contact)
- [RSS Feed](https://logpulse.io/feed.xml)