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Dash0 subscription

Dash0

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Plans

Usage-based

  • Every platform capability in a single plan — there are no cut-down tiers
  • Billed on the volume of telemetry sent, with no per-seat and no storage fees
  • Infrastructure and Kubernetes monitoring
  • Application performance monitoring and distributed tracing
  • Log management, website monitoring and synthetic checks
  • Dashboards, alerting and service maps defined as code
  • PromQL and SQL queries, a CLI, an API and an MCP server
  • Monthly budget limits, noisy-data filters and spend forecasting
  • A hard cap on the invoice with a warning and a grace period before ingestion pauses
  • Purchasable through cloud marketplaces and can count against cloud commitments
  • Longer contractual commitment periods are available

Agent0 Credits

  • The unit of consumption for the autonomous Agent0
  • Spent on live insights into system state and on root cause analysis
  • Spent on automatic fixes and auto-tuning
  • Counted separately from the volume of telemetry sent
  • Consumption is visible in the same cost picture as the rest of your usage
  • Subject to the same budget limits and approaching-the-cap warnings

Plan contents as published by the vendor; seller prices arrive at launch.

What you get

A Dash0 subscription is not seat-based: every capability is in one plan and you pay for the telemetry you send, so what to ask the seller is not which tier you have but how much ingestion is paid for and what monthly cap is set. Ask whether a hard invoice cap is enabled and whether noisy-data filters are configured: without them a sudden flood of logs from one service eats the budget very quickly. Also clarify whether the purchase runs through a cloud marketplace, since that determines whether the spend counts against your cloud commitments and how renewal works. The seller states the next charge date at delivery.

About the service

Observability built on OpenTelemetry from day one: no proprietary agent, no format lock-in — it works with any OTel-compatible tool, agent or SDK immediately. The foundation is SignalStore, which holds logs, metrics, traces, profiles, events and real-user data; you query it with PromQL and SQL, through a CLI, through an API and through an MCP server, so both humans and AI agents can work the telemetry. Three products sit on top: observability (application performance monitoring, real-user monitoring, infrastructure, and language models and agents as a separate view), Agent0 for automation and fixing (live insights, root cause analysis, automatic fixes and auto-tuning), and Darkplane, the control room for what AI writes in your codebase. There is Kubernetes monitoring, distributed tracing, log management, website and synthetic monitoring, dashboards, alerting and service maps; dashboards and alerts are defined as code, and the interface is built for keyboard-first navigation. A particular strength is cost control: you pay only for the telemetry you send, with no per-seat and no per-gigabyte-stored fees, and the platform has monthly budget limits, filters for noisy data, spend forecasting and a hard cap on the invoice with a warning and a grace period before ingestion pauses. Every capability is included in a single plan — the vendor has no cut-down feature tiers.

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