Dash0 Raises $110M Series B at $1B Valuation
Debug slow HTTP endpoints, catch GC pauses before they cascade, and trace requests across your entire Java stack. Built natively on OpenTelemetry with no proprietary agent or SDK.
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Infrastructure engineer - Chargetrip
In an age of overly complex tools, we find that Dash0 stands out for its simplicity and speed. With simple pricing, easy integration, amazing filtering capabilities, fast handling of large data volumes, and straightforward alerting with clear error messages, Dash0 makes observability a breeze.
CTO - Hayuno AG
Despite being a young company, Dash0 delivers enterprise-grade quality and features—automatic instrumentation, spans, logs with semantic context, PromQL support, AI-powered trace triage—all working reliably from day one.
Senior Full-Stack Engineer - catchHR
Dash0 has significantly streamlined our approach to observability and OpenTelemetry, bringing everything together in one place. The intuitive interface and seamless integration have enabled us to quickly gain valuable insights into our systems and resolve issues efficiently.
Senior Web Developer - CroCoder
What I love most about Dash0 is that it's fully OpenTelemetry native which has significantly improved our software development process. The seamless navigation from logs to traces to metrics streamlines bug diagnosis and troubleshooting, enhancing our team's efficiency.
Software Engineer - Vercel
The tracing UI is amazing. When we switched to Dash0, it significantly cut down the amount of time from a bug being reported to figuring out why it happened and fixing it. Filtering on attributes is extremely intuitive, and the tracing tree UI is awesome.
DevOps Cloud Architect - AV Software Solutions 360° at Bechtle
With Dash0, we have found an OpenTelemetry-native solution that provides the flexibility we need. With the support of the open standard OpenTelemetry, we are able to handle public resources responsibly.
Solution Architect - Porsche Digital
Dash0's foundation on open source standards ensures future-proof and next-gen observability. Their focus on ease of use empowers all of our developers to gain insights quickly.
JVM heap, GC pause duration, thread pool saturation, and class loading stats for Java in production.
Track heap used, heap committed, GC pause duration by collector (G1, ZGC, Shenandoah), thread count, class loading, and CPU usage. Spot memory leaks and GC pressure before they affect response times.
Distributed traces that capture thread context across executor services, CompletableFuture chains, and reactive streams. Correlate GC pauses with latency spikes in the same timeline.
Logs, traces, metrics, and alerts in one connected view. Click from one to any other.
Click from a SLF4J/Logback log line to its trace, then jump from a span to the underlying JVM metrics. OpenTelemetry's trace-context correlation and Dash0's resource-centric design make it automatic, no manual linking.
Define checks on JVM GC pauses, heap usage, thread pool saturation, or HTTP latency using PromQL or the query builder. Reuse open-source alert rules from Awesome Prometheus Alerts and get notified via email, Slack, or any webhook.
Attach the OpenTelemetry Java Agent via JAVA_TOOL_OPTIONS and point it at Dash0. No code changes to your application.
Download the OpenTelemetry Java Agent and attach it via JAVA_TOOL_OPTIONS. The agent uses bytecode instrumentation to create spans across 100+ libraries automatically.
The open-source Dash0 Operator auto-instruments Java pods on Kubernetes. Or use Cloud Native Buildpacks with the Paketo OTel buildpack to bake the agent into your container image.
Open-source skills for Claude Code, Cursor, Windsurf, and 38+ other AI coding agents. Correct resource attributes, span status codes, and Collector patterns from the first commit.
No proprietary agents and no vendor-specific code in your repo, just standard OpenTelemetry from instrumentation to export to query.
Dash0 is designed as an OpenTelemetry-native observability platform. Your instrumentation uses the official OTel Java Agent — semantic conventions and resource attributes preserved as-is, enabling standardized data collection across distributed systems.
Import your existing Prometheus alerts and query traces, logs, and metrics with PromQL or SQL.
Perses-compatible dashboards, PromQL alert rules, and OTel Collector configs. Everything Dash0 produces is an open-standard artifact you can commit to git.
A deep dive into three ways to instrument Java: manual, auto (Java agent), and zero-touch (OTel Operator). Covers Spring Boot, Quarkus, Micronaut, and when to use each approach.
How to containerize a Spring Boot application with Paketo buildpacks so the OTel Java Agent is baked into the image. Covers Kubernetes deployment, env var configuration, and Dash0 integration.
A practical walkthrough of JVM runtime metrics, Systemd log collection, and Prometheus scraping with the OpenTelemetry Collector. Covers the OTel Java Agent, resource attributes, and Dash0 dashboards.