Better Stack Telemetry

betterstack.com ↗

Collect application logs, traces, and metrics, then explore the signals together in one hosted telemetry workspace.

SI Score
80/100
Pricing
Freemium AI reading, not confirmed
Free plan
Yes AI reading, not confirmed
Sign-up required
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Homepage screenshot
Screenshot of the Better Stack Telemetry homepage

What it does

Better Stack Telemetry is the company's hosted log and observability product. It accepts data from OpenTelemetry, Vector, Syslog, and a managed collector, and provides live log search, dashboards, alerts, and APIs for working with telemetry. For Kubernetes and Docker environments, Better Stack documents an eBPF-based collector that can gather logs, metrics, and traces without changing application code. This is aimed at teams that want a managed place to inspect operational signals rather than maintain their own telemetry store.

Better Stack Telemetry is separate from the company's Uptime checks: this offering collects application telemetry, while external availability checks answer whether a URL is responding. Its documentation walks through connecting sources and sending logs, traces, or metrics to a hosted workspace.

Ingest a small slice first

The logging quick start begins by creating a source and selecting the source type. Each source has a token and an ingesting host; an application or collector uses those values to send events. For teams already using OpenTelemetry, the official guide describes configuring an OpenTelemetry Collector exporter and can also send data directly from language SDKs. Better Stack's collector is another option for Kubernetes or Docker when the goal is to gather logs, metrics, and traces with eBPF-based auto-instrumentation.

Once data arrives, Live tail supports simple text searches and structured filters. For example, an engineer investigating a rise in failed requests can narrow the log stream by a status-code field and combine it with text matching, then inspect correlated traces or metrics in dashboards. The query documentation supports field comparisons, conjunctions, regular expressions for string data, and pattern-based filtering. The example describes a workflow; it is not a test performed here.

Consider the data boundary

Telemetry is hosted. The pricing page lists a free personal-project option with limited retained log and trace volume and a short retention period; paid usage depends on ingestion and retention. Estimate those quantities before sending production data. The documentation also explains that API requests use a bearer token, and the product offers HTTP APIs for telemetry resources and queries. The service exposes a web workspace, but no self-hosted edition was established in the official pages reviewed.

Strengths

  • Accepts telemetry through OpenTelemetry and other documented sources, including a managed eBPF collector for Kubernetes and Docker.
  • Combines live log search with dashboards and query options for examining structured fields, patterns, and related signals.
  • Documents Telemetry APIs for managing resources and querying data, which can support integrations and automation.

Watch out for

  • The free personal-project allowance has limited log and trace retention; production use can incur ingestion and retention charges.
  • Using the hosted service requires configuring source-specific tokens and ingest endpoints.

Best for

  • Teams centralizing application logs, traces, and metrics without operating their own observability data store.
  • Kubernetes or Docker operators who want to collect telemetry with an eBPF-based agent.
  • Engineers who need to search structured logs and follow related metrics or traces during incident investigation.

Sources