Logs & Traces
Grafana Loki & Tempo: High-Scale Telemetry
The most cost-effective way to store and query your logs and distributed traces. By indexing only metadata, Loki and Tempo eliminate the 'indexing tax' of traditional tools, allowing for 10x more visibility at a fraction of the cost.
Why Choose the Loki & Tempo Stack?
Optimized for cloud-native environments where high cardinality and low cost are paramount.
Loki and Tempo share the same label model as Prometheus, making jumping from metrics to logs to traces instant.
Designed specifically for high-volume telemetry from Kubernetes and distributed OpenTelemetry applications.
Store TBs of data in inexpensive S3 or GCS without the massive CPU/RAM overhead of ELK or Jaeger-over-Elastic.
Grafana Tempo: High-Volume Tracing
Stop sampling your traces just to save money. Tempo is a high-scale distributed tracing backend that only requires object storage to operate.
- ✓TraceQL: Advanced query language to find traces based on span attributes, duration, and relationships.
- ✓100% Trace Discovery: Search by Trace ID directly from Loki logs or Prometheus exemplars.
- ✓OTel Native: Fully compatible with OpenTelemetry, Jaeger, Zipkin, and OpenCensus.
# Find traces slower than 2s with errors
{
duration > 2s &&
status = error &&
resource.service.name = "auth-api"
}Calculate Your Savings
Comparing Proprietary SaaS vs. OTel + S3 with Egress overhead.
Cost Breakdown
Proprietary Monthly Bill
$0
OTel Stack Monthly Bill
$0
Estimated Monthly Savings
$0
Request Technical Audit*Includes estimated S3, Compute, and Egress Factor.
Optimizing the "Compute" Column
We slash the $0.42/GB compute overhead by deploying hardware-aware architectures.
ARM64 & Graviton Migration
Loki and Tempo native ARM64 support reduces price-performance ratios by 40%.
Spot Instance Orchestration
Stateless queriers run on Spot instances, saving an additional 60% on compute spend.
Instance Strategy
Unified Observability
Jump from metrics to logs to traces instantly with a shared label model.
Modern Deployment Path
Architectural blueprints for high-availability OpenTelemetry backends.
The Simplicity of LogQL
Filter billions of logs and generate real-time alerts without the overhead of full-text indexing.
// Calculate 5xx Error Rate per second
sum by (app) (rate({env="prod"} |= "status=500" [5m]))
processors:
tail_sampling:
policies:
- name: errors-policy
type: status_code
status_code: { codes: [ERROR] }Smart Sampling
Capture 100% of errors while discarding high-volume successful traces to keep storage costs low.
Tempo vs. Jaeger
Why Tempo wins for modern cloud-native environments.
| Feature | Jaeger | Grafana Tempo |
|---|---|---|
| Storage | Elasticsearch | Object Storage / S3 |
| Indexing | High Index Tax | Metadata-Only |
Ready to Scale Your Telemetry?
Stop overpaying for indexes. Let us show you how Loki and Tempo can provide 100% visibility for 20% of your current cost.