A fully managed, OpenTelemetry-native observability service for precise trace reconstruction of distributed application requests.
- Native Grafana integration: Cross-signal analysis within your existing interface
- Fully managed: Managed operations with no deployment or scaling overhead
- European jurisdiction: Data sovereignty and processing under strict EU legal oversight
Complete Control Over Your IT Infrastructure
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- Set up your own cloud infrastructure in seconds
- Flexibly add servers, databases, and more
- Pay only for what you use—fully scalable at any time
Tracing Service for Every Need
Use Case
Use Case
A distributed API is experiencing sporadic performance drops. Infrastructure metrics only indicate a general delay but do not pinpoint the faulty downstream component within the microservice chain.
- Reconstruct the complete request path across all services
- Identify the exact span and operation causing the latency
- Jump directly from the slow span to the associated Loki logs
Use Case
Use Case
Cascading delays are prevented through seamless call-chain monitoring, which consolidates scattered logs and ensures that timestamps are synchronized.
- A single trace ID reveals the entire call chain and the original error
- Use the Trace-to-Log component to navigate directly to the relevant Loki logs
- The error-prone manual comparison of timestamps is completely eliminated
Use Case
Use Case
The latency and operating costs of GenAI models can be managed with complete transparency, as all internal processing phases are fully visible.
- OpenTelemetry GenAI standards fully instrument every interaction and chain
- The system transparently visualizes the execution path as a flame graph directly in Grafana
- Token consumption, prompts, and step costs are analyzed as audit-ready primary span attributes
- AI performance correlates directly with infrastructure signals, eliminating the need for secondary LLM-specific tools
Full tracing capabilities at attractive rates
Trace Data Collection | Price per GB |
|---|---|
Up to 250 GB/month | $0.3909 |
250 GB – 5 TB/month | $0.2814 |
over 5 TB / month | $0.1876 |
Storage space per GB / 30 days | $0.0235 |
Up to 250 GB/month | |
|---|---|
Trace Data Collection | |
Price per GB | $0.3909 |
250 GB – 5 TB/month | |
Trace Data Collection | |
Price per GB | $0.2814 |
over 5 TB / month | |
Trace Data Collection | |
Price per GB | $0.1876 |
Storage space per GB / 30 days | |
Trace Data Collection | |
Price per GB | $0.0235 |
Resources
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FAQ
The service is specifically designed to provide a managed, standards-compliant ingestion backend for distributed tracing based on OpenTelemetry (Grafana Tempo). It deliberately avoids proprietary agent architectures. The focus is on technically generating cross-signal correlations (traces to Loki logs and Mimir metrics) within a sovereign infrastructure, rather than building closed vendor silos.
Data flows remain, without exception, within the European IONOS CLOUD region you have defined (e.g., Frankfurt, Berlin, Paris, Logroño, Birmingham, London). Since IONOS CLOUD is a European company with no parent company outside Europe, its infrastructure is governed exclusively by EU law. Unauthorized access to data via extraterritorial laws such as the U.S. CLOUD Act is systematically precluded.
No. The deployment, scaling, security, and patch management of the Tempo backend are handled entirely by IONOS CLOUD as routine tasks. System access logging and auditing are performed automatically in the background, relieving your administration team of the burden of day-to-day system maintenance.
The only requirement is support for the standardized OpenTelemetry protocol (OTLP). There is no need to learn any proprietary libraries. Integration is reproducible via open APIs and standardized SDKs. For older system components (e.g., Jaeger or Zipkin), the OpenTelemetry Collector can be used as a standards-compliant translation layer.
Usage is precisely tracked via the integrated IONOS CLOUD metering pipeline. Billing is usage-based (pay-as-you-go) and calculated based on the actual amount of data processed. Unpredictable cost increases due to hidden license fees, seat-based licensing, or per-host billing models are contractually and systemically ruled out. Cost control thus remains a manageable governance factor.