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aiAxonIQ ingests OpenTelemetry logs, metrics and traces, plus Prometheus remote-write. You point an exporter at an endpoint, authenticate with a license key, and the data becomes queryable. There is no aiAxonIQ agent and no aiAxonIQ SDK. The thing you install is the upstream OpenTelemetry tooling for your language or platform, with two settings changed — which also means nothing here locks you in.

Start here

Try the playground

A workspace that already has a fortnight of telemetry in it — no account, no install, no card. Three demonstration estates, each a different kind of system with a different thing going wrong.

Quickstart

From an account to data on screen in about ten minutes, using nothing but curl. The shortest path that proves every hop.

Choose an onboarding path

Six end-to-end journeys — SaaS, Docker, Kubernetes, developer, enterprise, self-hosted — with what to do on day two, not just day one.

How it works

The path your data takes, and the two properties of it that explain most of what you will run into later.

Verify your data arrived

Telling “accepted” apart from “queryable” — the distinction behind most first-install confusion.

Send data from where you run

Kubernetes

A DaemonSet collector for node telemetry, and the second collector most clusters end up needing.

Any application

Auto-instrumentation for Node.js, Python, Java and .NET; an explicit setup for Go.

Prometheus

Remote-write from an existing Prometheus server. A config change on one side and nothing on your services.

Services you cannot instrument

Zero-code instrumentation with eBPF

Traces and RED metrics from services you will never add an SDK to — vendor images, legacy containers, anything nobody owns. One agent per host, observing from the kernel: no code change, no rebuild, no restart.It is upstream OpenTelemetry eBPF Instrumentation, unmodified, so it is not a decision you have to unwind later. Early access.

Then use it

Search logs

Field filters, booleans, wildcards and numeric comparisons, with the full field list.

Explore traces

Where the time went, which hop failed, and the two reasons a trace has a hole in it.

Service map

The dependency graph, discovered from traffic rather than maintained by hand.

Alerting

Rule types that actually evaluate, the three comparators, and which channels work out of the box.

Service level objectives

Error budgets, burn-rate alerting, and gating a deploy on remaining budget.

Synthetic monitoring

HTTP, SSL, DNS, TCP and multi-step checks run against your endpoints from outside.

Understand it

Platform architecture

Why there are four stores, and which one answers each question you ask.

Organizations

Multi-tenancy, isolation, and where the boundary genuinely is.

Data retention

One window per plan, 30 days by default, applied to rollups as well.

The three things you need

1

A license key

Created in Settings → API keys, sent as the X-License-Key header. See Create a license key.
2

An endpoint

The receiver’s OTLP address, which differs per deployment. Get Started in the dashboard shows the one that is correct for yours.
3

An exporter

Any OpenTelemetry SDK, or the OpenTelemetry Collector. aiAxonIQ speaks standard OTLP, so there is nothing vendor-specific to install and nothing to rewrite if you later point the same exporter elsewhere.
Not sure where a problem is? Troubleshooting splits the pipeline into four stages and tells you which one you are in — usually in about a minute, which eliminates most of the list before you start reading. The FAQ is the faster page when you are not debugging.

Build on it

API reference

Everything the product does, programmatically — generated from the running route table, so it cannot drift.

Grafana and Prometheus clients

Use aiAxonIQ as a Prometheus datasource with no adapter — and the PromQL limits to know before you rely on it.