Log monitoring
without the cost spiral.

Parseable lets teams search, filter, visualize, and investigate logs from any source in plain English or SQL, all from one platform.

Log monitoringAI native

Any source

Fluent Bit, Logstash, Vector, OpenTelemetry Collector, or direct HTTP. Parseable accepts logs from every shipper your stack already uses, with no re-instrumentation required.

SQL or plain English

Query logs with the SQL your team already knows, or ask a question in plain English and let Parseable generate and run the query. Dashboards and alerts use the same interface.

AI summaries & forecasting

Spot patterns before they spread. Use AI summaries to understand log patterns quickly and forecasting to identify unusual trends earlier. Parseable helps teams move from reactive searching to proactive log monitoring.

Log monitoring without the
usual overhead

Designed for teams that prefer to excel
at one task rather than juggle multiple tasks ineffectively.

Columnar Parquet on object storage, purpose-built for logs

Query in plain English or SQL

Unified observability at scale

Summarise, cluster, & explain log bursts

Threshold, anomaly, & absence alerts

Use cases

Designed for teams that prefer to excel at one task rather than juggle multiple tasks ineffectively.

Search application and infrastructure logs alongside the traces and metrics from the same request. Follow an error across services without switching tools or losing the surrounding context.

  • Correlate application errors with infrastructure signals
  • Filter logs by service, pod, region or trace ID
  • Investigate latency and failures in the same time window
See OpenTelemetry log ingestion

Frequently asked questions?

Find answers about log ingestion, storage, SQL querying, AI investigation, and retention in Parseable.

Reach out to us

Parseable accepts logs over HTTP, OpenTelemetry (OTLP), Fluent Bit, Logstash, and Vector. Any source that can POST JSON or use an OTel exporter can ship to Parseable without additional adapters.

View ingestion docs

Related resources

Educational Guide

What Is Log Monitoring?

Learn what log monitoring is, how the pipeline works, which application and server logs to watch and how to build useful dashboards and alerts in production.

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Best Practices Guide

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Apply 12 logging best practices for structured events, log levels, correlation, security, retention, cost control and faster production debugging at scale.

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Buyer's Guide

10 Best Logging Tools in 2026: Features, Pricing, Pros

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Buyer's Guide

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Solution

High Cardinality Observability

Handle high-cardinality logs, metrics, and traces at a fraction of the cost with columnar storage.

Read more
Solution

Kafka Observability

Unify Kafka metrics, logs, and traces to catch lag, replication issues, and broker failures earlier.

Read more

Turn log noise into answers.

Parseable ingests logs from any source, stores them in columnar Parquet on object storage, and gives your team SQL querying, plain-English investigation, dashboards, and alerts in one platform.