dd-logs

Manage Datadog log search, processing, archiving, and cost control.

3|Updated Nov 9, 2017
One-click install
npx skills add https://github.com/shawnrice/dotfiles --skill dd-logs-shawnrice
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dd-logs
Source: https://github.com/shawnrice/dotfiles/tree/main/claude/skills/dd-logs
Command: npx skills add https://github.com/shawnrice/dotfiles --skill dd-logs-shawnrice

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires dd-pup/pup, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill addresses the challenges of log management, including efficient searching, processing, archiving, cost control, and security, for large volumes of log data.

Core Features & Use Cases

  • Log Search: Perform comprehensive searches on logs, with support for multiple query syntaxes.
  • Log Processing: Create pipelines to preprocess logs before indexing.
  • Cost Control: Implement exclusion filters to control costs and index only relevant data.
  • Archiving: Archive logs for compliance needs at a low cost.
  • Metrics Creation: Create metrics from logs without indexing, for efficient monitoring.
  • Sensitive Data Handling: Scrub sensitive data from logs to ensure compliance.

Quick Start

Start by authenticating with Datadog Pup and perform a search on logs using the 'pup logs search' command.

Frequently Asked Questions about dd-logs

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I control log indexing costs in high volume environments?

Control log indexing costs by implementing exclusion filters to index only relevant data and archiving logs at a low cost for compliance. This approach ensures you only pay for processing the log data that matters.

What is the best way to scrub sensitive data from logs before indexing?

Scrub sensitive data from logs by creating preprocessing pipelines before indexing. This ensures compliance by handling and removing sensitive information early in the log processing stage.

Can I create metrics from logs without indexing them?

Yes, you can create metrics from logs without indexing them. This allows for efficient monitoring of log data while avoiding the higher costs associated with full log indexing.

How do I perform comprehensive log searches with multiple query syntaxes?

Perform comprehensive log searches using the 'pup logs search' command after authenticating with Datadog Pup. This supports multiple query syntaxes to query large volumes of log data effectively.

Does this log management approach work with Datadog infrastructure?

Yes, it utilizes Datadog's infrastructure specifically for cost control and security measures. It manipulates log data using pup to automate management across searching, processing, and archiving stages.

When do I need to archive logs for compliance needs?

Archive logs for compliance needs when you must retain large volumes of historical data at a low cost. This allows you to maintain compliance requirements without incurring high active indexing expenses.