What it does
Dash0 is an OpenTelemetry-native observability platform for application and infrastructure signals. Its product materials describe logs, metrics, traces, and web events, with dashboards, checks, and service-level objectives for operational use. SignalControl can filter or reshape telemetry before storage, while Kubernetes users can deploy a documented OpenTelemetry collector through the Dash0 Operator. Dash0 also markets AI and data-platform capabilities, but they have separate access and pricing details.
A practical first step is to create an organization, choose a data-storage region, and use Dash0's built-in OpenTelemetry demo or the prefilled endpoint and token shown during onboarding. A collector or supported integration can then send the application's telemetry. For Kubernetes, the Dash0 Operator installs an OpenTelemetry Collector in the cluster and exports data to the organization's ingress. The documented setup has Kubernetes and Helm prerequisites, so check the supported versions and instrumentation path for the workloads before rollout.
After data arrives, dashboards help explore signals, while checks can evaluate metrics, logs, spans, or web events. Metric checks use PromQL, and the documentation says Prometheus alert rules can be imported. A service-level objective can make an error-budget target explicit; creating checks and SLOs requires an admin or dataset Maintainer role, while dashboard creation is open to any user.
SignalControl is useful when high-volume telemetry needs shaping: its rules can filter records, turn matching logs or spans into metrics, sample whole traces, or aggregate high-cardinality metrics. Edge processing can run some of these rules inside the customer's network before export. Sampling and filtering are irreversible for the discarded data, so validate the rule against the investigation questions the team needs to answer.
Pricing is usage based and separates ingestion, storage, synthetic check runs, and some AI features into different units. The published pricing page also advertises a 14-day full-feature trial with no credit card. Compare expected signal volume and retention by type rather than estimating from a single per-event rate. The review describes documented workflows only; no account, collector, or alert was created.
Strengths
- The platform is built around OpenTelemetry and documents standard ingestion and export paths rather than requiring a proprietary telemetry format.
- Checks cover several telemetry signal types, and the documentation supports PromQL-based alerting and Prometheus rule imports.
- SignalControl provides filtering, trace sampling, signal-to-metric conversion, and edge processing options.
Watch out for
- The published bill has separate ingestion, storage, synthetic-check, and AI-related units, so cost depends on both signal volume and retention.
- Data removed by SignalControl filtering or sampling cannot be recovered from Dash0.
Best for
- Teams that already instrument services with OpenTelemetry and want to explore related traces, logs, and metrics together.
- Kubernetes operators who want a documented collector deployment and Prometheus-compatible alert rules.
- Teams that need to control telemetry volume before storing high-cardinality or noisy data.
Sources
- OpenTelemetry Native Observability · Dash0 (Oct 25, 2026)
- Observability Platform · Dash0 (Oct 25, 2026)
- SignalStore: OpenTelemetry-Native Data Platform · Dash0 (Oct 25, 2026)
- Pricing · Dash0 (Oct 25, 2026)
- Get Started with Dash0 · Dash0 (Oct 25, 2026)
- About SignalControl · Dash0 (Oct 25, 2026)
- About Alerting · Dash0 (Oct 25, 2026)
- Overview · Dash0 (Oct 25, 2026)
- Overview · Dash0 (Oct 25, 2026)