Dash0

What is Dash0?

Dash0 is an OpenTelemetry-native observability platform designed to simplify monitoring and troubleshooting for modern distributed systems. Built from the ground up on open standards like OpenTelemetry, PromQL, and Perses, the platform provides developers, SREs, and platform engineers with unified visibility into logs, metrics, and traces. Dash0 eliminates vendor lock-in while offering resource-centric monitoring, real-time filtering, and seamless cross-signal correlation. The platform features the SIFT framework (Spam filter, Ingest, Filter, Triage) to reduce telemetry noise, and Agent0, an SRE copilot that generates actionable artifacts like alerts, dashboards, and pipeline rules to accelerate issue resolution.

Key Features

• OpenTelemetry-Native Architecture

  Built entirely on OpenTelemetry standards for standardized data collection and analysis across distributed systems, ensuring interoperability and no vendor lock-in.

• Unified Observability Platform

  Centralizes logs, metrics, and traces in a single platform with cross-signal correlation, enabling seamless troubleshooting from metrics to traces to logs.

• SIFT Framework

  Four-pillar approach (Spam removal, Improve telemetry, Filtering/grouping, Triage) that intelligently reduces noise, enhances data quality, and automates root cause analysis.

• Agent0 SRE Copilot

  An intelligent assistant that diagnoses issues and generates actionable outputs like alerts, dashboards, and pipeline rules rather than just providing insights.

• Kubernetes-First Monitoring

  Native Kubernetes operator with auto-instrumentation for Java, Node.js, and .NET, plus automatic log collection and infrastructure metrics out of the box.

• Transparent Usage-Based Pricing

  Predictable costs based on the number of logs, spans, and metric data points sent—not by data size or user count—with full visibility into telemetry usage.

Use Cases

• Distributed System Monitoring : Engineering teams can trace requests across microservices, correlate telemetry signals, and identify performance bottlenecks in complex distributed architectures.
• Kubernetes Infrastructure Management : DevOps and platform engineers can monitor cluster health, workload performance, and resource utilization with automated instrumentation and pre-built dashboards.
• Incident Response and Troubleshooting : SRE teams can quickly pinpoint root causes using automated triage, cross-signal correlation, and real-time filtering to reduce mean time to resolution.
• Application Performance Optimization : Development teams can identify latency issues, error patterns, and resource inefficiencies through trace analysis and performance baselines.
• Cost-Efficient Observability Migration : Organizations transitioning from legacy tools can leverage OpenTelemetry standards to avoid vendor lock-in while maintaining predictable observability costs.

FAQs