Features

Explore the main capabilities available in Parseable, from AI-native investigation and APM to dashboards, alerting, PromQL, access control, APIs, and automated Kubernetes instrumentation. Use this page as a feature map for moving from telemetry collection to investigation, operations, and production management.

Agent Observability

Debug AI agent runs with traces, prompts, tool calls, costs, and runtime behavior in one view.

PromQL

Native PromQL support with Grafana Prometheus data source for seamless visualization.

APM

Analyze service health, latency, errors, and traces from one application performance workflow.

Alerting

Set up real-time alerts to notify you of important events or anomalies in your telemetry data.

Dashboards

Create customizable dashboards to visualize your telemetry data and gain insights at a glance.

OpenID Integration

Seamlessly integrate with OpenID providers for secure authentication and single sign-on capabilities.

AI Native

AI-powered observability with Keystone Q&A, dataset summarization, and natural language to SQL conversion.

SQL Editor

Write and execute SQL queries to analyze your telemetry data with a powerful query editor.

Role-Based Access Control

Secure your data with fine-grained access controls and user permissions management.

Log IQ

Transform unstructured logs into structured JSON data for easier querying, searching, and visualization.

Retention Policies

Manage your data lifecycle with customizable retention policies to optimize storage costs and compliance.

Smart Cache

Optimize query performance with intelligent caching mechanisms for frequently accessed data.

Multi-tenancy

Run tenant-aware deployments with isolated request handling, storage layout, and access control.

PAI

Parseable Auto Instrumentation, or PAI, is a Kubernetes operator that automatically collects logs, metrics, traces, and events from a cluster and exports them to Parseable, with zero manual configuration required.