dd-logs

Log management - search, pipelines, archives, and cost control.

16 stars

Best use case

dd-logs is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Log management - search, pipelines, archives, and cost control.

Teams using dd-logs should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/dd-logs/SKILL.md --create-dirs "https://raw.githubusercontent.com/diegosouzapw/awesome-omni-skill/main/skills/development/dd-logs/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/dd-logs/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How dd-logs Compares

Feature / Agentdd-logsStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Log management - search, pipelines, archives, and cost control.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Datadog Logs

Search, process, and archive logs with cost awareness.

## Prerequisites

Datadog Pup (dd-pup/pup) should already be installed:

```bash
go install github.com/datadog-labs/pup@latest
```

## Quick Start

```bash
pup auth login
```

## Search Logs

```bash
# Basic search
pup logs search --query="status:error" --from="1h"

# With filters
pup logs search --query="service:api status:error" --from="1h" --limit 100

# JSON output
pup logs search --query="@http.status_code:>=500" --from="1h" --json
```

### Search Syntax

| Query | Meaning |
|-------|---------|
| `error` | Full-text search |
| `status:error` | Tag equals |
| `@http.status_code:500` | Attribute equals |
| `@http.status_code:>=400` | Numeric range |
| `service:api AND env:prod` | Boolean |
| `@message:*timeout*` | Wildcard |

## Pipelines

Process logs before indexing:

```bash
# List pipelines
pup logs pipelines list

# Create pipeline (JSON)
pup logs pipelines create --json @pipeline.json
```

### Common Processors

```json
{
  "name": "API Logs",
  "filter": {"query": "service:api"},
  "processors": [
    {
      "type": "grok-parser",
      "name": "Parse nginx",
      "source": "message",
      "grok": {"match_rules": "%{IPORHOST:client_ip} %{DATA:method} %{DATA:path} %{NUMBER:status}"}
    },
    {
      "type": "status-remapper",
      "name": "Set severity",
      "sources": ["level", "severity"]
    },
    {
      "type": "attribute-remapper",
      "name": "Remap user_id",
      "sources": ["user_id"],
      "target": "usr.id"
    }
  ]
}
```

## ⚠️ Exclusion Filters (Cost Control)

**Index only what matters:**

```json
{
  "name": "Drop debug logs",
  "filter": {"query": "status:debug"},
  "is_enabled": true
}
```

### High-Volume Exclusions

```bash
# Find noisiest log sources
pup logs search --query="*" --from="1h" --json | jq 'group_by(.service) | map({service: .[0].service, count: length}) | sort_by(-.count)[:10]'
```

| Exclude | Query |
|---------|-------|
| Health checks | `@http.url:"/health" OR @http.url:"/ready"` |
| Debug logs | `status:debug` |
| Static assets | `@http.url:*.css OR @http.url:*.js` |
| Heartbeats | `@message:*heartbeat*` |

## Archives

Store logs cheaply for compliance:

```bash
# List archives
pup logs archives list

# Archive config (S3 example)
{
  "name": "compliance-archive",
  "query": "*",
  "destination": {
    "type": "s3",
    "bucket": "my-logs-archive",
    "path": "/datadog"
  },
  "rehydration_tags": ["team:platform"]
}
```

### Rehydrate (Restore)

```bash
# Rehydrate archived logs
pup logs rehydrate create \
  --archive-id abc123 \
  --from "2024-01-01T00:00:00Z" \
  --to "2024-01-02T00:00:00Z" \
  --query "service:api status:error"
```

## Log-Based Metrics

Create metrics from logs (cheaper than indexing):

```bash
# Count errors per service
pup logs metrics create \
  --name "api.errors.count" \
  --query "service:api status:error" \
  --group-by "endpoint"
```

**⚠️ Cardinality warning:** Group by bounded values only.

## Sensitive Data

### Scrubbing Rules

```json
{
  "type": "hash-remapper",
  "name": "Hash emails",
  "sources": ["email", "@user.email"]
}
```

### Never Log

```python
# In your app - sanitize before sending
import re

def sanitize_log(message: str) -> str:
    # Remove credit cards
    message = re.sub(r'\b\d{4}[-\s]?\d{4}[-\s]?\d{4}[-\s]?\d{4}\b', '[REDACTED]', message)
    # Remove SSNs
    message = re.sub(r'\b\d{3}-\d{2}-\d{4}\b', '[REDACTED]', message)
    return message
```

## Troubleshooting

| Problem | Fix |
|---------|-----|
| Logs not appearing | Check agent, pipeline filters |
| High costs | Add exclusion filters |
| Search slow | Narrow time range, use indexes |
| Missing attributes | Check grok parser |

## References/Documentation

- [Log Search Syntax](https://docs.datadoghq.com/logs/explorer/search_syntax/)
- [Pipelines](https://docs.datadoghq.com/logs/log_configuration/pipelines/)
- [Exclusion Filters](https://docs.datadoghq.com/logs/indexes/#exclusion-filters)
- [Archives](https://docs.datadoghq.com/logs/archives/)

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