bateau84/skills

grafana-loki

Grafana Loki log aggregation and LogQL query language.

Voir la source

Mode d’emploi

  1. Copiez la commande et examinez le paquet avant de l’installer dans votre environnement agent.
  2. Consultez le document original pour les outils, identifiants et environnements requis.
  3. Décrivez les entrées et le livrable souhaité ; comparez la sortie aux sources.
npx skills add https://github.com/bateau84/skills --skill grafana-loki

Avant de commencer

  • L’installation n’inclut ni abonnement au modèle, ni quota API, ni accès aux fichiers.
  • Étoiles et installations reflètent l’activité, pas un test indépendant de qualité ou de sécurité.
Document Skill original

Rendu depuis le dépôt source en conservant titres, exemples, code, tableaux, liens et images.

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

Tâches connexes

du même dépôt

Autres Skills

Tous les Skills
bateau84
Communauté

behavioral-spec

Derive bounded, implementation-independent requirements from agreed product intent through goal refinement, coverage lenses, obstacle analysis, provenance tracking, and counterexample checks. Use to select, author, and reconcile Behavioral Requirements (BR), Quality Scenarios (QS), and Obligation Contracts (OC) without expanding scope. Not for concrete API/schema/protocol realization (use architectural-spec) or human-centered stories and scenarios (use user-stories-and-scenarios).

Installations / 1h
1
GitHub Stars
0
Mis à jour
18 oct.
bateau84
Communauté

desktop-ui-design

Desktop GUI design for native and hybrid applications: platform conventions (macOS HIG, Windows Fluent, GNOME HIG), menus, keyboard shortcuts, window management, session persistence, native vs Electron/Tauri trade-offs, and accessibility APIs. Use for Swift/AppKit, C/WinUI, GTK+, or Electron/Tauri/Flutter desktop design. Add web-ui-design for a web app shipped as a desktop wrapper. Not for browser-only interfaces, terminal applications (use tui-design), or command-line tools (use cli-design).

Installations / 1h
1
GitHub Stars
0
Mis à jour
18 oct.
bateau84
Communauté

git-commit-discipline

Small coherent commits, explanatory messages, shared-working-tree discipline, and safe undo/recovery. Use when asked to commit, when a diff mixes concerns, when agents share a working tree, or when undoing or recovering Git changes. Not for content conflicts (use git-conflicts).

Installations / 1h
1
GitHub Stars
0
Mis à jour
18 oct.
bateau84
Communauté

golang-dependency-injection

google/wire, uber-go/dig, uber-go/fx, samber/do, manual constructor injection, and service containers in Go. Use when designing service architecture, setting up dependency injection, refactoring tightly coupled code, or managing singletons and service factories.

Installations / 1h
1
GitHub Stars
0
Mis à jour
18 oct.