Distributed tracing system for better application performance

A trace in Grafana Tempo.

Grafana Cloud Traces is a fully managed distributed tracing system powered by Grafana Tempo. Use its highly scalable, cost-effective trace storage and query engine to understand the flow of requests and data in your software systems and track down issues quickly.

The actually useful Grafana Cloud Free plan

green checkmark50GB traces green checkmark14-day retention green checkmark3 monthly active users

Unravel microservice architectures

Pinpoint a problematic service so you know exactly what to fix and who should fix it. View upstream and downstream connections to understand the ripple effects across your system.


Minimal changes, maximum compatibility

Compatibility with OpenTelemetry, Jaeger, and Zipkin trace formats makes it easy to get started, with minimal changes to application instrumentation. Or use OpenTelemetry’s auto-instrumentation to get traces without adding any new code.

automatic metrics

Automatic metrics for immediate insights

Request rate, error rate, and latency metrics can be automatically derived for your services. Understand overall system health at a glance, and get alerts when something goes wrong.

roblox logo
tomtom logo
adobe logo
jpmorgan chase logo
dapper logo
houzz logo
mambu logo

Why use Grafana Cloud’s distributed tracing system?

Grafana Tempo showing how Trace QL can query and link to a specific span.

With Tempo’s powerful query language, TraceQL, Cloud Traces enables you to ask sophisticated questions about how your services are related, turning large swaths of tracing data into actionable insights.

  • Filter your traces by duration, status, service, and arbitrary attribute with support for regular expressions, boolean logic, and pattern matching.
  • Search traces based on their structure to understand sibling, parent-child, and ancestor-descendant relationships among services.
Learn more about TraceQL

Correlate traces with metrics and logs to find root cause faster

Pivot between observability signals thanks to Grafana Cloud’s tightly integrated stack, which brings together metrics, logs, and traces with Grafana visualizations.

  • Jump from metrics to logs to traces without losing context by leveraging Grafana correlations, exemplars, and data links.
  • Generate metrics from your trace data so you can monitor high-level RED signals on application performance and see a map of your services.
Learn more about the Tempo data source in Grafana Cloud
Service graph in Grafana Tempo for traces.

Metrics generator dashboard using Grafana Tempo.

Get started with tracing with minimal effort

Grafana Cloud Traces is fully compatible with open source tools and standards, making it easy to adopt.

  • Send spans from your applications via Grafana Agent or the OpenTelemetry Collector. OpenTelemetry, Jaeger, and Zipkin trace formats are all supported.
  • Build dynamic Grafana dashboards and visualizations from your traces.
  • Explore your traces with TraceQL, which is OpenTelemetry-native and shares design principles with PromQL and LogQL.
Learn more about Grafana Agent

Performance at scale, with costs under control

Tracing data volumes can climb quickly, especially for complex, microservices-based systems dealing with heavy request traffic. Architected as a cloud native, horizontally scalable system, Cloud Traces handles this seamlessly, in a cost-effective way.

  • Cloud Traces leverages object storage and a columnar trace storage format based on Apache Parquet, making it extremely cost-effective.
  • Using a massively parallel query engine, Cloud Traces can scan terabytes of traces per second, meaning searches complete in record time.
Learn more about the Apache Parquet backend


Not ready for a fully hosted cloud-based observability solution?

Don’t worry, you’ve got options.

Grafana Tempo

Open source, horizontally scalable, highly available, multi-tenant distributed tracing database.

Grafana Enterprise Traces

Self-hosted tracing database that delivers the same exceptional performance, scalability, and cost-efficiency as Grafana Tempo, but adds essential enterprise-grade features and support from Grafana Labs.

Get started with distributed tracing in Grafana Cloud

A distributed tracing solution for every user, every organization, every use case.

Cloud Free

Perfect for small teams that are just beginning their cloud native journey and don’t want to manage their trace data.
  • Up to 50GB traces each month.
  • 3 active monthly users.
  • Always free. Never expires. Upgrade at any time.

Cloud Pro

Best suited for teams that are expanding their observability footprint, might not have a dedicated SRE team, and require greater scale and collaboration.
  • Up to 100GB traces each month.
  • 5 active monthly users.

Cloud Advanced

Best suited for teams who deal with massive scale, consider observability a critical service for business reliability, and will benefit from economies of scale.
  • 100GB traces each month.
  • 365x24x7 customer support with enterprise-level SLAs.
“When we were in a real crisis, our engineers always quickly went back to logs and metrics. They felt fragmented when they had to switch back and forth between different UIs. This fragmentation caused a lot of frustration, especially when they were fighting a real incident. Now that Grafana Cloud Traces has replaced Lightstep, we have a dashboard for each microservice, and sometimes our engineers don’t even realize this is actually tracing data, logs, and metrics in one place. They just feel that ‘everything I want to know about this service is right here in Grafana and I can check in whenever I want to.”
Xiaofeng Han
Engineering Director
“We tested four or five different backends for traces: Cassandra, Elasticsearch, OpenSearch, and a couple vendored solutions. We landed on Tempo because our target is 1 million samples per second and we were able to test right up to that range. Plus with exemplars natively enabled in our dashboards, users can simply stay within Grafana, get a detailed view of each trace, and then have the option to drill down into more details contained in the related metrics and logs.”
Chris Featherstone
Manager of Software Development
“Understanding where latency was increasing and finding areas where you can improve on that becomes more difficult once you have several services communicating with each other, so that’s where Grafana Tempo comes in handy and solves that. Other than that, having multiple tools and UI’s and jumping from one to another while debugging makes things more complicated. Having it all in one tool like Grafana Cloud Traces simplifies the process.”
Roman Vogman
DevOps Engineer
“In order to amplify and dampen the signals coming out of those feedback loops, we need good observability tooling. Embracing projects like Grafana Loki, Grafana Tempo, and Grafana k6 is the way forward towards infrastructure automation and infrastructure innovation.”
Vinodh Ravi
Executive Director, Platform Engineering

Trace your joy back to Grafana Cloud.