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loki

grafana/skills
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Configure Grafana Loki log ingestion and write LogQL queries to analyze logs and troubleshoot pipelines.
Grafana Loki log aggregation and LogQL query language. Covers LogQL syntax (log queries, metric queries, label matchers, line filters, parsers: json/logfmt/pattern/regexp/unpack, label filters, line_format), Loki architecture, log ingestion via Alloy/Promtail/Fluent Bit, structured metadata, and Logs Drilldown. Use when writing LogQL queries, configuring Loki, troubleshooting log pipelines, or analyzing logs.

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Original instructions from the publisher’s SKILL.md

# Grafana Loki - Log Aggregation

> **Docs**: https://grafana.com/docs/loki/latest/

Indexes only metadata (labels), not full log content — dramatically cheaper than full-text search systems.

## LogQL Quick Reference

### Log Stream Selector (required in every query)

```logql
{app="nginx"}                        # exact match
{app!="nginx"}                       # not equal
{app=~"nginx|apache"}               # regex match
{app!~"debug.*"}                     # regex not match
{app="nginx", env="prod"}           # AND (multiple labels)
```

### Line Filters (pipeline stage 1 - put first for performance)

```logql
{app="nginx"} |= "error"            # contains string
{app="nginx"} != "info"             # does not contain
{app="nginx"} |~ "error|warn"       # regex match
{app="nginx"} !~ "health.*check"    # regex not match
{app="nginx"} |= `"status":5`       # backtick avoids escaping
```

### Parsers

```logql
# JSON
{app="api"} | json
{app="api"} | json status="http_status", path="request.path"

# Logfmt
{app="api"} | logfmt
{app="api"} | logfmt --strict
{app="api"} | logfmt --keep-empty

# Pattern (positional, _ discards)
{app="nginx"} | pattern `<ip> - - <_> "<method> <uri> <_>" <status> <bytes>`

# Regexp (named capture groups)
{app="nginx"} | regexp `(?P<method>\w+) (?P<path>\S+) HTTP/(?P<version>\S+)`

# Unpack (unwrap Promtail packed labels)
{app="api"} | unpack
```

### Label Filters (after parsers)

```logql
{app="api"} | json | status >= 500
{app="api"} | json | status == 200 and method != "OPTIONS"
{app="api"} | logfmt | duration > 1s
{app="api"} | json | level =~ "error|warn"
{app="api"} | json | bytes > 20MB
{app="api"} | json | path != "/healthz"
```

### Line Format

```logql
{app="api"} | json | line_format "{{.method}} {{.path}} -> {{.status}} ({{.duration}})"
{app="api"} | logfmt | line_format `{{.level | upper}}: {{.msg}}`
```

### Label Format

```logql
{app="api"} | logfmt | label_format new_name=old_name
{app="api"} | logfmt | label_format severity=level, svc=app
{app="api"} | logfmt | label_format msg=`{{.level}}: {{.message}}`
```

### Drop/Keep Labels

```logql
{app="api"} | json | drop filename, level="debug"
{app="api"} | json | keep level, status, method
```

### Decolorize

```logql
{app="cli-tool"} | decolorize
```

## Metric Queries

### Log Range Aggregations

```logql
# Requests per second
rate({app="nginx"}[5m])

# Total log lines in window
count_over_time({app="nginx"}[1h])

# Bytes per second
bytes_rate({app="nginx"}[5m])

# Total bytes
bytes_over_time({app="nginx"}[1h])

# Returns 1 if no logs in range (for absence alerting)
absent_over_time({app="nginx"}[5m])
```

### Aggregation

```logql
# Error rate by service
sum(rate({env="prod"} |= "error" [5m])) by (app)

# Top 5 most active services
topk(5, sum(rate({env="prod"}[5m])) by (app))

# Total errors across all services
sum(count_over_time({env="prod"} |= "error" [5m]))
```

### Unwrapped Range Aggregations (numeric values from logs)

```logql
# Average request duration from logfmt
avg_over_time({app="api"} | logfmt | unwrap duration [5m])

# 95th percentile latency
quantile_over_time(0.95, {app="api"} | logfmt | unwrap duration [5m]) by (app)

# Sum of bytes from JSON logs
sum_over_time({app="api"} | json | unwrap bytes [5m])

# With conversion (duration string → seconds)
avg_over_time({app="api"} | logfmt | unwrap duration | duration_seconds [5m])
```

### Offset Modifier

```logql
# Compare current rate vs 1 hour ago
rate({app="nginx"}[5m]) / rate({app="nginx"}[5m] offset 1h)
```

## Practical Examples

### Error rate alert query
```logql
sum(rate({env="prod"} |= "error" [5m])) by (service)
/
sum(rate({env="prod"}[5m])) by (service)
> 0.05
```

### Slow requests
```logql
{app="api"} | logfmt | duration > 1s | line_format "SLOW: {{.method}} {{.path}} {{.duration}}"
```

### HTTP 5xx errors with details
```logql
{app="nginx"} | pattern `<ip> - - <_> "<method> <uri> <_>" <status> <bytes>` | status >= 500
```

### Credential leak detection
```logql
{namespace="prod"} |~ `https?://\w+:\w+@`
```

## Sending Logs to Loki

### Via Grafana Alloy

```alloy
loki.source.file "app" {
  targets    = [{__path__ = "/var/log/app/*.log", job = "app"}]
  forward_to = [loki.process.parse.receiver]
}

loki.process "parse" {
  forward_to = [loki.write.cloud.receiver]
  stage.json {
    expressions = { level = "level", msg = "message" }
  }
  stage.labels {
    values = { level = "" }
  }
  stage.drop {
    expression = ".*healthcheck.*"
  }
}

loki.write "cloud" {
  endpoint {
    url = "https://logs-xxx.grafana.net/loki/api/v1/push"
    basic_auth {
      username = sys.env("LOKI_USER")
      password = sys.env("GRAFANA_API_KEY")
    }
  }
  external_labels = { cluster = "prod" }
}
```

### Via Kubernetes (Alloy DaemonSet)

```alloy
discovery.kubernetes "pods" {
  role = "pod"
}

loki.source.kubernetes "pods" {
  targets    = discovery.kubernetes.pods.targets
  forward_to = [loki.write.cloud.receiver]
}
```

### Loki HTTP Push API

```bash
curl -X POST https://logs-xxx.grafana.net/loki/api/v1/push \
  -u "user:apikey" \
  -H 'Content-Type: application/json' \
  -d '{
    "streams": [{
      "stream": { "app": "myapp", "env": "prod" },
      "values": [
        ["1609459200000000000", "log line here"]
      ]
    }]
  }'
```

## Architecture

```
Push path:  Client → Distributor → Ingester (WAL) → Object Storage (chunks)
Read path:  Query → Query Frontend → Querier → Ingester + Store (chunks)
```

**Components:**
- **Distributor**: Validates and hashes incoming log streams
- **Ingester**: Buffers chunks in memory, flushes to object storage
- **Querier**: Executes LogQL queries
- **Query Frontend**: Caches, splits, and parallelizes queries
- **Compactor**: Manages retention and deduplication

## References

- [LogQL Reference](references/logql.md)
- [Configuration](references/configuration.md)
- [Sending Data](references/send-data.md)