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Loki

  • 2.7k installs
  • 211 repo stars
  • Updated August 4, 2026
  • grafana/skills

loki is an agent skill that Grafana Loki log aggregation and LogQL query language. Covers LogQL syntax (log queries, metric queries, label matchers, line filters, parsers: json/logfmt/pattern/regexp.

About

The loki skill. 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 ana. The workflow follows the source SKILL.md contract with progressive reference loading, clear trigger phrases, and practical steps developers can apply directly in agent sessions. The workflow follows the source SKILL.md contract with progressive reference loading, clear trigger phrases, and practical steps developers can apply directly in agent sessions. The workflow follows the source SKILL.md contract with progressive reference loading, clear trigger phrases, and practical steps developers can apply directly in agent sessions.

  • 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

Loki by the numbers

  • 2,718 all-time installs (skills.sh)
  • +242 installs in the week ending Aug 5, 2026 (Skillselion tracking)
  • Ranked #69 of 1,435 DevOps & CI/CD skills by installs in the Skillselion catalog
  • Security screen: LOW risk (skills.sh audit)
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
At a glance

loki capabilities & compatibility

Capabilities
distributor: validates and hashes incoming log s · ingester: buffers chunks in memory, flushes to o · querier: executes logql queries · query frontend: caches, splits, and parallelizes · compactor: manages retention and deduplication
Use cases
testing · debugging · ci cd
From the docs

What loki says it does

**Docs**: https://grafana.com/docs/loki/latest/
SKILL.md
npx skills add https://github.com/grafana/skills --skill loki

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Listed on Skillselion
Installs2.7k
repo stars211
Security audit3 / 3 scanners passed
Last updatedAugust 4, 2026
Repositorygrafana/skills

How do I apply loki correctly using the SKILL.md workflows and reference files?

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_f

Who is it for?

Developers and software engineers working with loki patterns from the skill documentation.

Skip if: Skip when cached docs are empty, boilerplate-only, or outside the skill documented scope.

When should I use this skill?

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 archite

What you get

Grounded loki guidance with highlights, triggers, and evidence quotes from SKILL.md.

  • LogQL queries
  • Loki pipeline configurations

By the numbers

  • Documents 5 LogQL parsers: json, logfmt, pattern, regexp, and unpack
  • Covers 3 ingestion agents: Alloy, Promtail, and Fluent Bit

Files

SKILL.mdMarkdownGitHub ↗

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)

{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)

{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

# 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)

{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

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

Label Format

{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

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

Decolorize

{app="cli-tool"} | decolorize

Metric Queries

Log Range Aggregations

# 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

# 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)

# 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

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

Practical Examples

Error rate alert query

sum(rate({env="prod"} |= "error" [5m])) by (service)
/
sum(rate({env="prod"}[5m])) by (service)
> 0.05

Slow requests

{app="api"} | logfmt | duration > 1s | line_format "SLOW: {{.method}} {{.path}} {{.duration}}"

HTTP 5xx errors with details

{app="nginx"} | pattern `<ip> - - <_> "<method> <uri> <_>" <status> <bytes>` | status >= 500

Credential leak detection

{namespace="prod"} |~ `https?://\w+:\w+@`

Sending Logs to Loki

Via Grafana 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)

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

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

Loki HTTP Push API

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
  • Configuration
  • Sending Data

Related skills

How it compares

Pick loki for label-indexed Grafana log aggregation and LogQL rather than full-text Elasticsearch or Splunk search workflows.

FAQ

Who is loki for?

Developers and software engineers working with loki patterns from the skill documentation.

When should I use loki?

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, structur

Is loki safe to install?

Review the Security Audits panel on this page before installing in production.

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