Dash0
by Dash0
OpenTelemetry-native observability with autonomous AI agents that fix production, not just alert on it
Dash0 is an OpenTelemetry-native observability platform for engineering and SRE teams that unifies logs, metrics, traces, profiles and real-user monitoring in one store, then runs AI agents on top of it. It targets teams frustrated by proprietary agents, unpredictable observability bills and alert noise that still requires a human to diagnose every incident.
Dash0 is an OpenTelemetry-native observability platform that ingests logs, metrics, traces, profiles, real-user-monitoring events and synthetic check results into a single store it calls SignalStore, then layers autonomous AI agents on top of that data. It was founded in 2023 by Mirko Novakovic, who previously co-founded application-performance company Instana before IBM acquired it in 2020, and the company deliberately builds on open standards: telemetry arrives over standard OpenTelemetry collectors rather than a proprietary agent, and engineers query it with PromQL and SQL, which is the basis for the vendor's no-lock-in positioning. The differentiating layer is Agent0, a set of AI agents that go past alerting to perform root-cause analysis, dashboard and alert-rule creation, migration work and cost auto-tuning; a companion product, Darkplane, targets teams whose code is increasingly written by coding assistants and tries to supply deployment-time confidence. Dash0 reached roughly 600 paying customers, including Zalando, Taco Bell and The Telegraph, inside two years, and in March 2026 raised a $110 million Series B led by Balderton Capital at a $1 billion valuation, taking total funding to $155 million. It has bought into adjacent capabilities twice: Lumigo in February 2026 for AWS Lambda and LLM observability, and Polar Signals in August 2026 for continuous CPU, memory and NVIDIA CUDA GPU profiling plus the open-source Parca project. Pricing is published per million spans, logs and metric data points, which positions it directly against Datadog on bill predictability.
Platform engineering or SRE leaders on Kubernetes who already emit OpenTelemetry and want to cut an unpredictable Datadog bill without giving up a managed platform
Published per-signal pricing on an open standard, with AI agents that perform root-cause analysis and cost tuning rather than only paging a human
At a Glance
- Category
- Infrastructure & Cloud
- Pricing
- Usage-based
- Target Market
- SRE Leaders, Platform Engineering Managers, CTOs, VPs of Engineering, DevOps Engineers
- Deployment
- Cloud-only, Multi-cloud
- Founded
- 2023
- Headquarters
- New York, United States
- Team Size
- 11-50
- Customers
- 600+ paying customers as of March 2026, including Zalando, Taco Bell and The Telegraph
Key Features
- ✓SignalStore
One backing store for logs, metrics, traces, profiles, events and RUM data, so correlation across signal types does not require stitching separate products together.
- ✓Agent0
AI agents that perform live root-cause analysis, automate dashboards and alerts, and auto-tune infrastructure cost, including opening pull requests via AutoTune.
- ✓OpenTelemetry-native ingest
Telemetry arrives through standard OpenTelemetry collectors rather than a proprietary agent, so instrumentation stays portable if you leave the platform.
- ✓PromQL and SQL querying
Engineers query telemetry in languages they already know instead of learning a vendor-specific query dialect, cutting onboarding time for new team members.
- ✓Continuous profiling with GPU support
From the August 2026 Polar Signals acquisition: production-safe CPU, memory and NVIDIA CUDA profiling down to individual functions, plus the open-source Parca project.
- ✓Cost controls and forecasting
Monthly budget limits, spam filters and cost forecasting are built into the product so telemetry spend is capped before the invoice arrives.
- ✓MCP server, CLI and API
Programmatic and agent-facing access paths let external coding agents and automation query observability data directly, alongside configuration-as-code and a Terraform provider.
Capabilities
Use Cases
- •Cutting an observability bill without losing coverage
Teams migrating from Datadog report roughly comparable coverage at a fraction of the cost because pricing is per signal volume with no high-water mark or custom-metric surcharge.
- •Autonomous incident triage
Agent0 correlates signals at alert time and produces a root-cause hypothesis, so the on-call engineer starts from a diagnosis rather than a blank dashboard.
- •Kubernetes and serverless monitoring
Infrastructure, container and AWS Lambda monitoring in one platform, with the Lambda coverage strengthened by the February 2026 Lumigo acquisition.
- •LLM and AI agent observability
Tracing model calls and agent runs alongside conventional application telemetry, so AI features are debugged in the same place as the rest of production.
- •Infrastructure cost optimisation from profiles
Continuous profiling identifies hot functions and wasted compute, and AutoTune proposes changes as pull requests to reduce cloud spend directly.
Ideal For
Best For
- ✓Replacing a Datadog or Dynatrace contract where volume-based bill shock is the main pain point
- ✓Kubernetes-first platform teams that have already standardised on OpenTelemetry instrumentation
- ✓SRE teams that want AI agents to draft root-cause analyses and remediation instead of only alerting
- ✓Engineering orgs shipping large volumes of AI-assisted code that need deployment-time regression signals
- ✓Teams needing EU data residency for telemetry alongside SOC 2 Type II and HIPAA coverage
Not Ideal For
- ✗Security operations teams — Dash0 ships no SIEM or threat detection and has stated no near-term plan to build one
- ✗Windows-heavy or on-premise network estates: infrastructure coverage is Kubernetes-centric with no Windows agent and no network performance monitoring
- ✗Mobile-first product teams that need mature mobile RUM and session replay, which Dash0 does not yet match Datadog on
- ✗Organisations that require a self-hosted or air-gapped deployment, since Dash0 is a managed SaaS on AWS and GCP only
Integrations
Deployment
Market & Ratings
600+ paying customers as of March 2026, including Zalando, Taco Bell and The Telegraph
Market Analysis
Pros
- ✓Transparent, published usage pricing that a third-party comparison put at roughly one-eighth of Datadog for a comparable workload
- ✓OpenTelemetry-native architecture avoids proprietary agents and keeps instrumentation portable
- ✓Agent0 pushes past alerting into root-cause analysis, automation and cost auto-tuning
- ✓SOC 2 Type II, GDPR and HIPAA coverage with EU or US telemetry residency and SSO/SAML
- ✓Meaningful open-source footprint (Apache-2.0 Kubernetes operator, otelbin, Parca) and a public roadmap of acquisitions closing capability gaps
Cons
- ✗No security product at all — a 2026 comparison notes Dash0 has no SIEM or threat detection and no near-term plan to build one, so it cannot consolidate a Datadog Security contract
- ✗Infrastructure coverage is Kubernetes-centric: no Windows agent, no on-prem network monitoring and no network performance monitoring
- ✗Digital-experience monitoring is immature relative to Datadog — mobile RUM is absent and session replay is early-stage
- ✗No dedicated error-tracking product; errors surface through span status codes and log records with no issue grouping
- ✗Agent0 components were still in beta as of the 2026 comparison, while competitors' AI SRE agents had been running against production incidents for months
- ✗Continuous profiling only arrived via the August 2026 Polar Signals acquisition and integration into SignalStore and Agent0 is still in progress
Pricing
Single consumption plan
From $0.20 per million metric data points
- ✓$0.60 per million log records, spans and web events (30-day retention)
- ✓$0.20 per million metric data points (13-month retention)
- ✓$0.20 per thousand synthetic API check runs
- ✓$0.60 per Agent0 credit
- ✓$10 per user for AI Coding Insights
- ✓All platform features included — APM, tracing, logs, Kubernetes, RUM, synthetics, dashboards, alerting
Free trial
$0
- ✓14 days, unlimited usage, no credit card required
- ✓Includes Agent0 credits
Dash0 publishes full list pricing, which is unusual in observability. There is one plan and no feature tiering — every capability is included and you pay purely on telemetry volume: $0.60 per million log records, spans or web events, $0.20 per million metric data points, $0.60 per Agent0 credit and $10 per user for AI Coding Insights. There is no high-water-mark charge, no custom-metric surcharge and no minimum spend to negotiate, and monthly budget caps plus cost forecasting are built in. A third-party 2026 comparison put a comparable workload at roughly $600-$1,100 a month on Dash0 versus about $8,200 on Datadog, though that excludes Datadog's security products, which Dash0 does not offer at all. There is no free tier — only a 14-day unlimited trial.
Security & Compliance
Connect
Sources
This page was written from 7 sources, 3 on domains other than dash0.com.
Stay Ahead of the Curve
Weekly enterprise AI insights for technology leaders. No spam, no vendor pitches—unsubscribe anytime.
SubscribeRelated Products
A10 AI Gateway
Self-hosted LLM control plane for complexity-aware model routing, per-team token budgets and real-time AI cost governance
ScienceLogic Skylar AI
Agentic AIOps intelligence layer that turns alerts, telemetry and tickets into prioritised advisories and next best actions
Etched Sohu
Transformer-only inference ASIC shipped as rack-scale frontier inference clusters
Nebius AI Cloud
European full-stack AI cloud with published GPU pricing and enterprise compliance