Quick and dirty Grafana Tempo deployment for Kubernetes, 1 hour retention, good for development

tempo.yaml

apiVersion: apps/v1
kind: StatefulSet
metadata:
  name: tempo
  namespace: tempo 
spec:
  selector:
    matchLabels:
      app: tempo
  serviceName: "tempo"
  minReadySeconds: 10
  template:
    metadata:
      labels:
        app: tempo
    spec:
      terminationGracePeriodSeconds: 10
      containers:
      - name: tempo
        image: grafana/tempo:1.5.0
        args: ["-config.file", "/etc/tempo/tempo.yaml"]
        ports:
        - containerPort: 3200 
          name: web 
        - containerPort: 9095 
          name: grpc 
        - containerPort: 4317 
          name: otlp-grpc 
        volumeMounts:
        - name: tempodata 
          mountPath: /data
        - name: config
          mountPath: /etc/tempo
          readOnly: true
      volumes:
      - name: config
        configMap:
          name: tempo-cm 
  volumeClaimTemplates:
  - metadata:
      name: tempodata 
    spec:
      accessModes: [ "ReadWriteOnce" ]
      resources:
        requests:
          storage: 10Gi
---
apiVersion: v1 
kind: Service 
metadata: 
    name: tempo 
spec: 
   clusterIP: None 
   selector: 
      app: tempo 
   ports: 
      - port: 3200
        name: web
        protocol: TCP
        targetPort: web
      - port: 9095 
        protocol: TCP
        name: grpc
        targetPort: grpc
      - port: 4317 
        protocol: TCP
        name: otlp-grpc
        targetPort: otlp-grpc
   type: ClusterIP
---
apiVersion: v1
kind: ConfigMap
metadata:
  name: tempo-cm
data:
  tempo.yaml: |
    server:
      http_listen_port: 3200

    distributor:
      receivers:
        otlp:
          protocols:
            http:
            grpc:
        opencensus:

    ingester:
      max_block_bytes: 1_000_000           # cut the head block when it hits this size or ...
      max_block_duration: 5m               #   this much time passes

    compactor:
      compaction:
        compaction_window: 1h              # blocks in this time window will be compacted together
        max_block_bytes: 100_000_000       # maximum size of compacted blocks
        block_retention: 1h
        compacted_block_retention: 10m

    storage:
      trace:
        backend: local                     # backend configuration to use
        block:
          bloom_filter_false_positive: .05 # bloom filter false positive rate.  lower values create larger filters but fewer false positives
          index_downsample_bytes: 1000     # number of bytes per index record
          encoding: zstd                   # block encoding/compression.  options: none, gzip, lz4-64k, lz4-256k, lz4-1M, lz4, snappy, zstd, s2
        wal:
          path: /data/wal             # where to store the the wal locally
          encoding: snappy                 # wal encoding/compression.  options: none, gzip, lz4-64k, lz4-256k, lz4-1M, lz4, snappy, zstd, s2
        local:
          path: /data/trace
        pool:
          max_workers: 100                 # worker pool determines the number of parallel requests to the object store backend
          queue_depth: 10000

    metrics_generator_enabled: false
    search_enabled: true