Dash0 is live · pricing from $10/user/mo · last verified 25 Oct 2026 · viability healthy
Dash0
Dash0 is OpenTelemetry-native observability with Agent0 doing autonomous root cause analysis and fix PRs.
If your services already speak OTel, Dash0 asks for almost nothing up front and Agent0 is the genuine differentiator — it does cross-signal RCA and, with Automations, opens the fix PR unattended. Watch the meter: root cause analyses cost one to two credits at $0.60 each, so heavy automation needs a budget line. Check retention too, since spans and logs are kept 30 days.
Verdict generatedVerified 4d ago · liveness 87/100 · cite: rightaichoice.com/tools/dash0
- Teams already standardized on OpenTelemetry that want a managed backend without re-instrumenting
- SRE and platform teams that want Agent0 running root cause analysis and drafting fix PRs
- Engineering orgs tracking what coding agents like GitHub Copilot and OpenCode cost and ship
- Companies that need telemetry spend attributable per signal type, with budget limits and a cost forecast
- Teams that need log or span retention past 30 days for compliance or long-horizon forensics
- Organizations requiring self-hosted deployment of the platform itself
- Shops with no OpenTelemetry investment and no appetite to adopt the standard
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Skip Dash0 if your compliance or forensics requirements need log and span retention beyond 30 days, or if you need the platform itself to run on-premise rather than as a managed service.
Ingestion is billed on every signal you send, before SignalControl filters anything, so noisy services cost you at $0.060 per million spans or log records even when nothing is stored.
Consumption pricing with no per-seat charge on telemetry suits small and mid-size teams that want to start at $0.060 per million ingested spans or logs and scale with volume, and its 14-day unlimited trial covers every feature including Agent0 and Darkplane. Storage-rate filtering through SignalControl is the differentiator versus Datadog and New Relic, which meter more aggressively. Teams with long retention or heavy managed-service expectations should price Grafana Cloud and SigNoz, which
In short
Dash0 — Dash0 is OpenTelemetry-native observability with Agent0 doing autonomous root cause analysis and fix PRs. Best for Teams already standardized on OpenTelemetry that want a managed backend without re-instrumenting, SRE and platform teams that want Agent0 running root cause analysis and drafting fix PRs, Engineering orgs tracking what coding agents like GitHub Copilot and OpenCode cost and ship. Plans from $10/user/mo.
What is Dash0?
Dash0 — Dash0 is OpenTelemetry-native observability with Agent0 doing autonomous root cause analysis and fix PRs. Best for Teams already standardized on OpenTelemetry that want a managed backend without re-instrumenting, SRE and platform teams that want Agent0 running root cause analysis and drafting fix PRs, Engineering orgs tracking what coding agents like GitHub Copilot and OpenCode cost and ship. Plans from $10/user/mo.
Dash0 is an OpenTelemetry-native observability platform for engineering teams that already emit OTel and want a backend built on the same standard. Everything lands in SignalStore, one store holding logs, metrics, traces, profiles, events, and RUM that you query with PromQL, SQL, the CLI, or the API. Agents read from the same store through an MCP server, so humans and AI tooling see identical data. Three product lines sit on that foundation. Observability covers APM, distributed tracing, Kubernetes and infrastructure monitoring, log management, RUM, synthetic API checks (now runnable from private locations against internal and firewall-protected services), OpenSLO service level objectives, and configuration-as-code dashboards. Darkplane, the AI-SDLC side, tracks coding-agent adoption, cost, and pull-request flow; AI SDLC Insights now ingests coding sessions from GitHub Copilot App and OpenCode and surfaces a Recommended actions card of Risk, Watch, or Opportunity findings. Agent0 is the autonomous production agent: continuous scanning, cross-signal root cause analysis, drafted fix pull requests behind an approval gate that is off by default, custom admin-defined skills, and Automations that run without anyone opening a chat. SignalControl ships in every account and filters, samples, and aggregates telemetry before storage, so storage is billed only on what you keep. Continuous profiling, including GPU and CUDA insight, came in with the Polar Signals acquisition. Pricing is consumption-based with no per-seat observability charge: spans, logs, and web events at $0.060 per million ingested and $0.540 per million stored, metric data points at $0.020/$0.180, synthetic runs at $0.20 per thousand, Agent0 credits at $0.60 each, and AI SDLC Insights at $10 per user per month. A 14-day trial includes every feature, no credit card required. Compared with Datadog, Dynatrace, or New Relic, you trade proprietary-agent depth and long log retention for no migration tax and
Key features
- OpenTelemetry-native ingestion for logs, metrics, traces, profiles, events, and RUM
- SignalStore unified store queried with PromQL, SQL, CLI, and API
- MCP server so AI agents query the same telemetry store as humans
- SignalControl filters, samples, and aggregates telemetry before storage, included in every account
- Agent0 autonomous root cause analysis across logs, traces, and metrics
- Agent0 drafts fix pull requests behind an approval gate, off by default
- Admin-defined custom Agent0 skills triggered by slash command or auto-selected
- Agent0 Automations that run without anyone opening a chat
- Agent0 threads keep running when you navigate away (Sep 2026)
- Synthetic monitoring checks from private locations for internal services (Oct 2026)
- AI SDLC Insights with Recommended actions card of Risk, Watch, or Opportunity findings (Oct 2026)
- AI SDLC Insights ingests coding sessions from GitHub Copilot App and OpenCode (Oct 2026)
- Continuous profiling including GPU and CUDA insight from the Polar Signals acquisition
- OpenSLO-based service level objectives
- Configuration as code for dashboards, rules, and alerting, plus full keyboard navigation
Behind the verdict
We'd reach for Dash0 the moment an OTel-mature team gets tired of paying per seat to query its own telemetry. Ingestion and storage are priced per signal, SignalControl trims volume before it's billed, and there's no proprietary agent to defend in a migration review. That combination is rare and it's the honest reason to shortlist it. Agent0 is where the product stops looking like a cheaper backend. Continuous scanning plus root cause across logs, traces, and metrics, then a drafted fix PR — with the write gate off by default, which is the right default. The catch is consumption: simple health checks burn a fraction of a credit, but a full RCA or a generated PR runs one to two credits at $0.60 apiece. Teams leaning on Automations should model that against their incident volume before assuming it's free labor. The AI-SDLC layer is newer and worth a look even if you ignore the rest. AI SDLC Insights tracks what coding agents actually cost and ship, now pulling sessions from GitHub Copilot App and OpenCode, and the Recommended actions card turns that into Risk, Watch, or Opportunity findings. At $10 per user per month it's cheap enough to trial alongside the main platform. Where it bites: 30-day retention on spans and logs rules out long-horizon forensics or compliance archives without exporting elsewhere. If you need to self-host the platform itself, this isn't that product. And if your stack has no OTel investment and no appetite to start one, the whole value proposition evaporates — you'd be adopting a standard to use the tool. The closest alternative for OTel-native buyers is Grafana Cloud or SigNoz. Both are credible stores; neither ships an agent that drafts the fix. Pick Dash0 when automated triage is the point, and pick a plainer backend when it isn't. In
Models under the hood
as of 2026-10-22
Limitations
- Dash0 is priced by consumption: ingestion is billed per million signals before any SignalControl filtering, and storage is billed only on what you retain, with spans, logs, and web events held 30 days and metrics plus synthetic checks 13 months.
- Agent0 credits cost $0.60 each and AI SDLC Insights is $10 per user per month.
- Adopting the platform assumes OpenTelemetry-native instrumentation, and the entry point is a 14-day free trial rather than a permanent free tier.
- Tiered ingestion discounts are only available on self-hosted plans over 200B signals per signal type per month; storage tiered discounts start above 15B events (or 15M synthetic runs) a month and drop automatically each time volume doubles.
as of 2026-10-09
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Is Dash0 still active?
Dash0 is live · pricing from $10/user/mo · last verified 25 Oct 2026 · viability healthy.
Viability score
How well maintained and how widely used is Dash0? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →What's new in Dash0
Checked 4 days agoAcross the latest 10 updates: 3 feature updates and 7 news mentions.
Two founders, one dinner, and the deal that followed
dash0.com reported: "Two founders, one dinner, and the deal that followed" (as of 2026-10-17).
AI SDLC Insights adds GitHub Copilot App and OpenCode support
AI SDLC Insights now ingests coding sessions from GitHub Copilot App and OpenCode, feeding cost tracking, adoption metrics, and AI-assisted PR analysis.
Synthetic checks from private locations
Private locations let existing synthetic checks run against internal and firewall-protected services, with multi-location failover and connection status per location.
Recommended actions in AI SDLC Insights
The Overview tab now turns coding-agent spend, adoption, and PR flow metrics into a short list of recommended actions tied to underlying measurements.
AI Safety Is an Observability Problem
Dash0 argues AI safety work depends on observability practices.
Running the OpenTelemetry Collector on NixOS
Dash0 walks through running the OpenTelemetry Collector on NixOS using declarative configuration.
The Observability Trap: Vendor Lock-In in 2026
Dash0 examines vendor lock-in in observability and how to avoid it.
Dash0 Joins the Agentic AI Foundation
Dash0 announced membership in the Agentic AI Foundation.
Migration to Graviton 5: upgrading the ClickHouse cluster
Dash0 details moving its ClickHouse cluster to Graviton 5 and the results of the upgrade.
Dash0 acquires Polar Signals, adding continuous profiling
Dash0 acquired Polar Signals, bringing continuous profiling including GPU and CUDA insight into SignalStore and Agent0.
What do users say about Dash0?
What people actually say about Dash0 — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
Researched71 mentions across 3 sources (Hacker News, YouTube, Product Hunt) · researched Aug 11, 2026.
Average across the 3 sources that answered — each source counts once, not each post.
- +OpenTelemetry-native, eliminates vendor lock-in and proprietary agents.
- +Consumption-based pricing is transparent and predictable.
- +Unified SignalStore combines logs, metrics, traces, events, RUM in one place.
- +Keyboard navigation and smooth UX appreciated by devs.
- +Strong CNCF standards alignment (PromQL, SQL, Apache Iceberg).
- −AI fix PR generation (Agent0) is not available until June 2026.
- −Short retention for spans/logs (30 days) may hamper deep dives.
- −Requires OpenTelemetry setup, steep for teams without it.
- −Community feedback limited; mostly marketing, not long-term user reviews.
- −Pricing details incomplete in community data; hidden costs uncertain.
- • Consumption-based pricing may lead to unexpected charges if telemetry volume spikes
- • No transparent pricing tiers published, only consumption-based model
How we verified this
Every listed fact about Dash0— pricing, features, links, status — is re-read from the vendor's own pages by our verification pipeline and each change is logged with a date; the last pass ran on 25 Oct 2026. Pages mix model-assisted synthesis with human review; see how we verify.
Verification history
We have re-verified Dash0 22 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — changed pricing page
- — changed pricing tiers, features, summary, who it suits, integrations, description, our verdict, who should skip it
- — changed pricing page, summary, pricing tiers, who should skip it, description, our verdict, who it suits, features
- — changed setup time, description, switching in, switching out, who should skip it, our verdict, use cases, limitations, pricing fit, features, summary, hidden costs
- — changed pricing page, models, limitations
- — changed SSL certificate
Showing the 6 most recent of 22 verification passes.
Free to cite with attribution — this page re-verifies continuously.
How much does Dash0 cost in 2026?
Dash0: Plans from $10/user/mo. Pricing last verified 25 Oct 2026.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Where the pricing makes sense
The company stage and team size where Dash0's pricing actually pencils out — and where peers do it cheaper.
Consumption pricing with no per-seat charge on telemetry suits small and mid-size teams that want to start at $0.060 per million ingested spans or logs and scale with volume, and its 14-day unlimited trial covers every feature including Agent0 and Darkplane. Storage-rate filtering through SignalControl is the differentiator versus Datadog and New Relic, which meter more aggressively. Teams with long retention or heavy managed-service expectations should price Grafana Cloud and SigNoz, which
Has Dash0's pricing changed?
No plan price for Dash0 has moved since we began logging in Aug 2026; the pricing page is re-read on every verification pass.
Who should pick Dash0?
Pick Dash0 if you are Teams already standardized on OpenTelemetry that want a managed backend without re-instrumenting, SRE and platform teams that want Agent0 running root cause analysis and drafting fix PRs, Engineering orgs tracking what coding agents like GitHub Copilot and OpenCode cost and ship, Companies that need telemetry spend attributable per signal type, with budget limits and a cost forecast.
Look elsewhere if you are Teams that need log or span retention past 30 days for compliance or long-horizon forensics, Organizations requiring self-hosted deployment of the platform itself, Shops with no OpenTelemetry investment and no appetite to adopt the standard, Heavy Agent0 automation users who haven't budgeted for metered credits at $0.60 each.
Skip it if Skip Dash0 if your compliance or forensics requirements need log and span retention beyond 30 days, or if you need the platform itself to run on-premise rather than as a managed service.
GeneratedReal-world workflow fit
Concrete scenarios for the personas Dash0 actually fits — and what changes day-one when you adopt it.
You already emit OTel traces and metrics. You point your existing OpenTelemetry Collector at Dash0, import Kubernetes and APM dashboards, and set SLOs in OpenSLO applied through the Terraform provider.
Outcome: SignalStore holds logs, metrics, and traces in one store queryable with PromQL or SQL, and Agent0 begins scanning for services degrading with no alert coverage.
You turn on AI SDLC Insights to see what Claude Code and Cursor are actually shipping, then open the Overview tab's Recommended actions card to find which number to act on this week, with each finding linked to the chart behind it.
Outcome: You get adoption, cost, and pull-request flow in one place at $10 per user per month, and Agent0 can answer follow-up questions from the same data the page shows.
You write a custom Agent0 skill encoding your runbook, attach it to an Automation triggered on failed GitHub Actions check runs, and leave the write-action approval gate on.
Outcome: Failed CI runs kick off an investigation without anyone opening a chat, and Agent0 drafts a fix PR that a human approves before it goes anywhere.
Use cases
- Monitor Kubernetes clusters with OTel-native dashboards and alerts
- Troubleshoot slow database queries using distributed tracing with heatmaps
- Reduce observability costs by filtering, sampling, and aggregating telemetry before storage with SignalControl
- Unify logs, metrics, and traces in one pane without switching tools
- Run synthetic checks against internal, non-public services from private locations
- Automate root cause analysis and fix PRs with Agent0
- Define SLOs in OpenSLO and apply them with the CLI or Terraform
- Trigger an Agent0 investigation automatically when a GitHub Actions run fails
Setup time & first value
How long it actually takes to get something useful out of Dash0 — broken out by persona, not the marketing-page minute.
If you already run OpenTelemetry, pointing an existing Collector at Dash0 and seeing your first traces and logs is an afternoon; the built-in OTel demo application lets you explore Agent0 with no setup at all. Adding SLOs in OpenSLO and dashboards via the Terraform provider is a follow-on day or two, and darkplane AI SDLC Insights needs a GitHub connection before it shows coding-agent data. Teams
Switching to or from Dash0
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Datadog: keep your OTel instrumentation or replace proprietary agents with OpenTelemetry SDKs, then repoint the Collector at Dash0 and recreate dashboards in Perses.
- →From Grafana Cloud: reuse existing PromQL queries against SignalStore and rebuild Grafana dashboards as Perses dashboards managed through the Terraform provider.
- →From New Relic: replace the proprietary agent with OpenTelemetry instrumentation and reimplement alerting as Dash0 check rules.
- →From a self-managed OpenTelemetry Collector plus ClickHouse: point the same Collector at Dash0 and export existing PromQL and SQL queries, keeping your dashboards as code.
- →From Honeycomb or SigNoz: your OTel instrumentation carries over unchanged, so migration is queries, dashboards, and alert rules rather than re-instrumentation.
- ↗To Grafana Cloud: your OTel instrumentation carries over, and SignalStore data is exportable since Dash0 uses open formats rather than a proprietary one.
- ↗To SigNoz: reuse existing OpenTelemetry collectors and PromQL queries, and rebuild SLOs from OpenSLO definitions in the new backend.
- ↗To a self-hosted OTel Collector plus ClickHouse: keep the Collector in place and swap the backend, since ingestion is standard OTLP.
- ↗To Datadog: instrumentation carries over but dashboards and SLO definitions must be rebuilt inside Datadog's proprietary query and monitor model.
- ↗To Dynatrace: expect to re-create dashboards, SLOs, and alert routing, while the OpenTelemetry signal pipeline itself moves largely unchanged.
Integrations
Resources & guides
- Documentationdash0.com
Welcome to Dash0
Full product docs from dash0.com
- Guidedash0.com
Dash0 Guides
Explore our step-by-step guides and best practices to expand your knowledge in Observability, OpenTelemetry and beyond.
- Resourcedash0.com
Observing Kubernetes Ingress Controllers with OpenTelemetry
Comparing OpenTelemetry support across Contour, Emissary, Istio Gateway, kgateway, and Traefik. The final post in our series on Kubernetes ingress observability.
- Resourcedash0.com
Understanding OpenTelemetry Support in Traefik
A deep dive into Traefik’s OpenTelemetry integration, exploring how traces, logs, and metrics behave in practice and where the project stands using a proposed OpenTelemetry Support Maturity Model.
- Resourcedash0.com
Understanding OpenTelemetry Support in kgateway
A deep dive into kgateway’s OpenTelemetry integration, exploring how traces, logs, and metrics behave in practice and where the project stands using a proposed OpenTelemetry Support Maturity Model.
- Resourcedash0.com
Observing vLLM with OpenTelemetry and Dash0
How to observe vLLM using OpenTelemetry and Dash0. Covers the traces vLLM actually emits, which Prometheus metrics matter, OTel Collector configuration, and what you'll see once data is flowing.
- Resourcedash0.com
Observability at the Edge: OpenTelemetry in Ingress Controllers
An evaluation of OpenTelemetry support across Kubernetes ingress controllers and gateways - tracing, metrics, logs, semantic conventions, and resource identity. Most projects "support OpenTelemetry." What that actually means varies more than you'd expect.
- Resourcedash0.com
Observing Ingress-NGINX with OpenTelemetry and Dash0
Ingress-nginx is an ingress controller. It sits at the edge of your cluster, routing external requests to pods that would otherwise not be reachable from the outside. Ingress controllers are a critical part of most Kubernetes setups, yet often remain a black box. While Ingress-NG
Tutorials & Learning
YouTube returned 6 videos for “Dash0”, and we withheld 5: 5 could not be judged, because “Dash0” is a single word that other videos use for other things. Showing the 1 we can prove is about Dash0.
Official links
What are the best Dash0 alternatives?
The closest alternatives to Dash0 we list are Datadog, Sazabi and Interfere. Ranked by direct product-type match, not category overlap.
| Alternative | Pricing | Starts at | Last verified |
|---|---|---|---|
| Datadog | Paid | Pricing not published | — |
| Sazabi | Paid | Pricing not published | — |
| Interfere | Contact Sales | Custom pricing | — |
Alternatives to Dash0
View all
Tools that pair well with Dash0
Common stack mates teams adopt alongside Dash0, with the specific reason each pairing earns its keep.
Datadog
Datadog is a cloud monitoring and security platform that puts infrastructure metrics, traces, logs, and security signals on one screen.
Sazabi
Sazabi is AI-native observability: conversational debugging, autonomous alerts, and coding agents that open fix PRs.
Interfere
Interfere turns production bugs into triaged, assigned work items with root-cause analysis and suggested code fixes.
Dash0 vs its closest rival
Dash0's closest head-to-head is with Agnost Ai — If you're an SRE or DevOps team standardizing on OpenTelemetry and need a full-stack observability platform with built-in AI assistance, Dash0 is the clear choice — its freemium tier and transparent pricing lower the barrier. But if your pain is specifically AI-agent failures that evals miss, Agnost AI is laser-focused on that niche, though its lack of integrations and opaque pricing make it a harder sell for broader adoption. Verdict generated
Head-to-head comparisons
Agnost Ai vs Dash0
If you're an SRE or DevOps team standardizing on OpenTelemetry and need a full-stack observability platform with built-in AI assistance, Dash0 is the clear choice — its freemium tier and transparent pricing lower the barrier. But if your pain is specifically AI-agent failures that evals miss, Agnost AI is laser-focused on that niche, though its lack of integrations and opaque pricing make it a harder sell for broader adoption.
GeneratedDash0 vs Nectar Energy
Dash0 and Nectar Energy serve completely different domains, so the choice is straightforward. If you need to monitor cloud-native applications, debug distributed traces, and automate incident response with AI, Dash0 is your pick with its OpenTelemetry-native stack and autonomous Agent0. If you operate commercial buildings and need to cut energy costs, automate HVAC/lighting, and generate ESG reports, Nectar Energy is the dedicated solution. There is no overlap in use cases.
GeneratedDash0 vs Olas Network
Dash0 and Olas Network serve completely different use cases. Dash0 is an observability platform for teams wanting unified logs, metrics, traces, and AI-driven incident remediation, with consumption-based pricing. Olas Network is a decentralized AI agent platform for crypto users to co-own and monetize agents on-chain via token staking. Choose Dash0 if you need production monitoring and automation; choose Olas Network if you want to deploy autonomous agents in crypto markets.
GeneratedDash0 vs Truemetrics
If you need observability with OpenTelemetry-native ingestion and AI-driven incident remediation, Dash0 offers a modern alternative to legacy tools with consumption-based pricing and advanced features like Agent0 and Darkplane. If your pain point is last-mile delivery inefficiency due to inaccurate navigation, truemetrics is a specialized solution that saves 32.7 seconds per stop with a lightweight SDK. The tools serve completely different domains, so your choice hinges on whether you're optimizing software systems or physical delivery routes.
GeneratedDash0 vs Genius Sports Ai
Choose Dash0 if you need open-standard observability with autonomous AI incident response and transparent consumption pricing. Choose Genius Sports AI if you run a professional sports league, sportsbook, or brand needing AI-driven officiating, live betting, and fan engagement. These tools serve entirely different markets—no overlap.
GeneratedFrequently asked questions
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