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Getting Started

Hexcovery is a European observability platform that collects, stores, and visualizes metrics, logs, and traces from your infrastructure and applications — in one place, queryable with one language.

This section gets you from zero to data in your dashboard. If you just want to dive in, jump to the Quick Start.

What Hexcovery is for

Hexcovery brings the three observability signals together so you can answer real questions:

  • Metrics — system and Kubernetes resource usage from the agent, plus application and infrastructure metrics over OpenTelemetry.
  • Logs — host logs from the agent and application logs over OTLP, searchable and correlated to traces.
  • Traces — distributed traces from your applications via OpenTelemetry SDKs.

Everything is stored per-organization and queried with OQL, a single SQL-inspired language that spans all three signals.

European by design

Your data stays in Europe, with no per-host or per-service fees — pricing is €0.35/GB ingested with unlimited users. See the home page for the full overview.

Who it's for

Anyone running software who needs to decide (read the metrics, understand the architecture) and blame (trace a problem back to the piece that caused it): platform and SRE teams, backend developers, and operators. Hexcovery organizes everything around the pieces of software you run rather than the machines underneath them.

New to that model? Read Core Concepts — and in particular Services and Projects — to learn the vocabulary (entities, signals, services, Projects) that shows up across every page.

The path

There are four steps, and you can stop at whichever one solves your problem today:

Get telemetry flowing into Hexcovery:

  • Install the agent on a Linux server or Kubernetes cluster for system and K8s metrics and host logs.
  • Point your applications at the OTLP endpoint to send traces, logs, and metrics with standard OpenTelemetry SDKs.

Start with Sending Data for all the options.

Open the dashboard and use the built-in pages — Overview, Hosts, Kubernetes, Logs, Services, Traces, Cron Jobs, and Projects — to see your data without writing a query.

Drop into the Explorer and ask anything with OQL:

SELECT avg(cpu_user_pct) FROM host LAST 1h

Auto-visualization picks a sensible chart; you can save queries and build dashboards from them.

Turn a query into a rule. Alerting evaluates conditions continuously and notifies you through your notification channels when something crosses a threshold.

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