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name: tempo description: Guide for implementing Grafana Tempo - a high-scale distributed tracing backend for OpenTelemetry traces. Use when configuring Tempo deployments, setting up storage backends (S3, Azure Blob, GCS), writing TraceQL queries, deploying via Helm, understanding trace structure, or troubleshooting Tempo issues on Kubernetes.

Grafana Tempo Skill

Comprehensive guide for Grafana Tempo - the cost-effective, high-scale distributed tracing backend designed for OpenTelemetry.

What is Tempo?

Tempo is a high-scale distributed tracing backend that:

• Trace-ID lookup model - No indexing of every attribute, keeps ingestion fast and storage costs low
• OpenTelemetry native - First-class support for OTLP protocol
• Object storage backed - Stores traces in affordable S3, GCS, or Azure Blob Storage
• TraceQL query language - Powerful query language inspired by PromQL and LogQL
• Apache Parquet format - 5-10x less data pulled per query vs legacy formats
• Multi-tenant by default - Built-in tenant isolation via X-Scope-OrgID header

Architecture Overview

Core Components

Data Flow

Write Path:

CopyApplications → Collector → Distributor → Ingester → Object Storage
                                  ↓
                           Consistent Hash Ring
                           (routes by traceID)

Read Path:

CopyQuery Request → Query Frontend → Queriers → Ingesters (recent data)
                      ↓                            ↓
                 Block Sharding          Object Storage (historical data)
                      ↓                            ↓
              Parallel Querier Work      Bloom Filters + Indexes

Deployment Modes

1. Monolithic Mode (-target=all)

• All components in single process
• Best for: Local testing, small-scale deployments
• Cannot horizontally scale component count
• Scale by increasing replicas

2. Scalable Monolithic (-target=scalable-single-binary)

• All components in one process with horizontal scaling
• Each instance runs all components
• Good for development with scaling needs

3. Microservices Mode (Distributed) - Recommended for Production

Copy# Using tempo-distributed Helm chart
distributor:
  replicas: 3

ingester:
  replicas: 3

querier:
  replicas: 2

queryFrontend:
  replicas: 2

compactor:
  replicas: 1

Helm Deployment

Add Repository

Copyhelm repo add grafana https://grafana.github.io/helm-charts
helm repo update

Install Distributed Tempo

Copyhelm install tempo grafana/tempo-distributed \
  --namespace monitoring \
  --values values.yaml

Production Values Example

Copy# Storage configuration
storage:
  trace:
    backend: azure  # or s3, gcs
    azure:
      container_name: tempo-traces
      storage_account_name: mystorageaccount
      use_federated_token: true  # Workload Identity

# Distributor
distributor:
  replicas: 3
  resources:
    requests:
      cpu: 500m
      memory: 2Gi
    limits:
      memory: 4Gi

# Ingester
ingester:
  replicas: 3
  resources:
    requests:
      cpu: 1000m
      memory: 2Gi
    limits:
      memory: 8Gi  # Spikes to 8GB periodically
  persistence:
    enabled: true
    size: 20Gi

# Querier
querier:
  replicas: 2
  resources:
    requests:
      cpu: 100m
      memory: 256Mi
    limits:
      memory: 4Gi

# Query Frontend
queryFrontend:
  replicas: 2
  resources:
    requests:
      cpu: 100m
      memory: 100Mi
    limits:
      memory: 2Gi

# Compactor
compactor:
  replicas: 1
  resources:
    requests:
      cpu: 500m
      memory: 2Gi
    limits:
      memory: 6Gi

# Block retention
compactor:
  compaction:
    block_retention: 336h  # 14 days

# Gateway for external access
gateway:
  enabled: true
  replicas: 1

# Metrics Generator (optional)
metricsGenerator:
  enabled: false

Storage Configuration

Azure Blob Storage (Recommended for Azure)

Copystorage:
  trace:
    backend: azure
    azure:
      container_name: tempo-traces
      storage_account_name: <storage-account-name>
      # Option 1: Workload Identity (Recommended)
      use_federated_token: true
      # Option 2: User-Assigned Managed Identity
      use_managed_identity: true
      user_assigned_id: <identity-client-id>
      # Option 3: Account Key (Dev only)
      # storage_account_key: <account-key>
      endpoint_suffix: blob.core.windows.net
      hedge_requests_at: 400ms
      hedge_requests_up_to: 2

AWS S3

Copystorage:
  trace:
    backend: s3
    s3:
      bucket: my-tempo-bucket
      region: us-east-1
      endpoint: s3.us-east-1.amazonaws.com
      # Use IAM roles or access keys
      access_key: <access-key>
      secret_key: <secret-key>

Google Cloud Storage

Copystorage:
  trace:
    backend: gcs
    gcs:
      bucket_name: my-tempo-bucket
      # Uses Workload Identity or service account

TraceQL Query Language

Basic Queries

Copy# Simplest query - all spans
{ }

# Filter by service
{ resource.service.name = "frontend" }

# Filter by operation
{ span:name = "GET /api/orders" }

# Filter by status
{ span:status = error }

# Filter by duration
{ span:duration > 500ms }

# Multiple conditions
{ resource.service.name = "api" && span:status = error }

Structural Operators

Copy# Direct parent-child relationship
{ resource.service.name = "frontend" } > { resource.service.name = "api" }

# Ancestor-descendant relationship
{ span:name = "GET /api/products" } >> { span.db.system = "postgresql" }

# Sibling relationship
{ span:name = "span-a" } ~ { span:name = "span-b" }

Aggregation Functions

Copy# Count spans
{ } | count() > 10

# Average duration
{ } | avg(span:duration) > 20ms

# Max duration
{ span:status = error } | max(span:duration)

Metrics Functions

Copy# Rate of errors
{ span:status = error } | rate()

# Count over time
{ span:name = "GET /:endpoint" } | count_over_time()

# Percentile latency
{ span:name = "GET /:endpoint" } | quantile_over_time(span:duration, .99)

# Group by service
{ span:status = error } | rate() by(resource.service.name)

# Top 10 by error rate
{ span:status = error } | rate() by(resource.service.name) | topk(10)

Trace Structure

Intrinsic Fields (colon separator)

Attribute Scopes (period separator)

Receiver Endpoints

Multi-Tenancy

Copy# Enable multi-tenancy
multitenancy_enabled: true

# All requests must include X-Scope-OrgID header
# Example:
# curl -H "X-Scope-OrgID: tenant-1" http://tempo:3200/api/traces/<traceID>

Azure Identity Configuration

Workload Identity Federation (Recommended)

1. Enable Workload Identity on AKS:

Copyaz aks update \
  --name <aks-cluster> \
  --resource-group <rg> \
  --enable-oidc-issuer \
  --enable-workload-identity

2. Create User-Assigned Managed Identity:

Copyaz identity create \
  --name tempo-identity \
  --resource-group <rg>

IDENTITY_CLIENT_ID=$(az identity show --name tempo-identity --resource-group <rg> --query clientId -o tsv)

3. Assign Storage Permission:

Copyaz role assignment create \
  --role "Storage Blob Data Contributor" \
  --assignee-object-id <principal-id> \
  --scope /subscriptions/<sub>/resourceGroups/<rg>/providers/Microsoft.Storage/storageAccounts/<storage>

4. Create Federated Credential:

Copyaz identity federated-credential create \
  --name tempo-federated \
  --identity-name tempo-identity \
  --resource-group <rg> \
  --issuer <aks-oidc-issuer-url> \
  --subject system:serviceaccount:monitoring:tempo \
  --audiences api://AzureADTokenExchange

5. Configure Helm Values:

CopyserviceAccount:
  annotations:
    azure.workload.identity/client-id: <IDENTITY_CLIENT_ID>

podLabels:
  azure.workload.identity/use: "true"

storage:
  trace:
    azure:
      use_federated_token: true

Troubleshooting

Common Issues

1. Container Not Found (Azure)

Copyaz storage container create --name tempo-traces --account-name <storage>

2. Authorization Failure (Azure)

Copy# Verify RBAC assignment
az role assignment list --scope <storage-scope>

# Assign if missing
az role assignment create \
  --role "Storage Blob Data Contributor" \
  --assignee-object-id <principal-id> \
  --scope <storage-scope>

3. Ingester OOM

Copyingester:
  resources:
    limits:
      memory: 16Gi  # Increase from 8Gi

4. Query Timeout

Copyquerier:
  query_timeout: 5m
  max_concurrent_queries: 20

Diagnostic Commands

Copy# Check pod status
kubectl get pods -n monitoring -l app.kubernetes.io/name=tempo

# Check distributor logs
kubectl logs -n monitoring -l app.kubernetes.io/component=distributor --tail=100

# Check ingester logs
kubectl logs -n monitoring -l app.kubernetes.io/component=ingester --tail=100

# Verify readiness
kubectl exec -it <tempo-pod> -n monitoring -- wget -qO- http://localhost:3200/ready

# Check ring status
kubectl port-forward svc/tempo-distributor 3200:3200 -n monitoring
curl http://localhost:3200/distributor/ring

API Reference

Trace Retrieval

Copy# Get trace by ID
GET /api/traces/<traceID>

# Search traces (TraceQL)
GET /api/search?q={resource.service.name="api"}

# Search tags
GET /api/search/tags
GET /api/search/tag/<tag>/values

Health

CopyGET /ready
GET /metrics

Reference Documentation

For detailed configuration by topic:

• Storage Configuration: Object stores, retention, caching
• TraceQL Reference: Query syntax and examples
• Configuration Reference: Full configuration manifest

External Resources

• Official Tempo Documentation
• Tempo Helm Chart
• TraceQL Documentation
• Tempo GitHub Repository