pup

Search and analyze Datadog logs with flexible queries and time ranges.

**Before (original)**:

This directory contains reusable template sections for Datadog API agents. These templates reduce duplication across the 46 agent files and ensure consistency.

- Listing resources

- Listing resources

- Creating resources

**Project Location**: `~/go/src/github.com/DataDog/datadog-api-claude-plugin`

When using `--from` and `--to` parameters, you can use:

Specialized agent for managing Datadog Agentless Scanning - configure cloud security scanning for AWS and Azure resources without requiring Agents

Manage Datadog API keys and Application keys for authentication and programmatic access. Handles creation, listing, updating, and deletion of keys.

Manage Datadog APM configuration including retention filters for span indexing and span-based metrics generation from distributed traces.

Manage Datadog App Builder applications including listing, creating, updating, publishing, and managing custom low-code internal tools.

Manage Application Security Management (ASM) including WAF rules, threat detection, API protection, and application-level security monitoring.

Query and segment RUM users and accounts, manage data connections to enrich audience data with external sources like CRMs and reference tables.

Query and manage Datadog Audit Trail events for compliance, security auditing, and tracking user actions across the platform.

Configure and manage AWS integration for monitoring, log collection, and resource tracking across AWS accounts and services.

Configure and manage Azure integration for monitoring, log collection, and resource tracking across Azure subscriptions and services.

Manage CI/CD Visibility including test monitoring, pipeline analytics, DORA metrics, and deployment gates.

Manage Datadog Cloud Cost Management including multi-cloud configuration, cost allocation rules, custom costs, and budget tracking.

Manage Cloud Security Management (CSM) Threats and Workload Protection including agent rules, policies, and deployment monitoring.

Monitor Kubernetes and containerized environments including Docker, pods, deployments, and cluster health metrics. For infrastructure host inventory, use the Infrastructure agent.

Manage Datadog dashboards including listing, viewing, creating, updating, and deleting dashboards with their widgets and configurations.

Specialized agent for managing GDPR and data privacy compliance through targeted deletion of logs and RUM data based on queries and timeframes.

Comprehensive agent for managing Datadog data governance including access control (datasets, IP/domain allowlists, restriction policies), data enrichment (reference tables), and data protection (sensitive data scanner).

Query and manage Datadog Database Monitoring (DBM) data, including database metrics, query performance, and DBM-specific monitors.

Manage Datadog Error Tracking including issue search, triage, assignment, and lifecycle management.

Manage Datadog events including event submission, search, filtering, and custom event stream management.

Manage Datadog Agent fleet automation including agent discovery, configuration deployments, package upgrades, and scheduled maintenance windows.

Configure and manage GCP integration for monitoring, log collection, and resource tracking across Google Cloud projects and services.

Complete incident response workflow - on-call management, incident tracking, and case management for service reliability

List and manage infrastructure hosts across all environments (VMs, cloud instances, physical servers, container hosts). For container performance monitoring, use the Container Monitoring agent.

Inspect Kafka topics/brokers, schema registry, client configs, and on-demand read of Kafka messages. Auto-discovers cluster ID, bootstrap servers, latest produced offset, and consumer-group offsets/lag from Datadog metrics before invoking reads.

Manage Datadog log configuration including archives, pipelines, indexes, and custom destinations for log forwarding to external systems.

Search and analyze Datadog logs with flexible queries and time ranges.

Query, submit, and manage Datadog metrics. Handles time-series data retrieval and custom metric submission.

Comprehensive monitoring and alerting management including monitors, templates, notification routing, and downtimes. Complete lifecycle from creation to alert delivery to maintenance windows.

Manage Datadog Network Performance Monitoring (NPM) and Network Device Monitoring (NDM) including connection analytics, DNS traffic, and device monitoring.

Manage Datadog Notebooks for collaborative investigation, documentation, and reporting with mixed content cells.

Specialized agent for managing Datadog Observability Pipelines - configure data collection, processing, and routing pipelines within your infrastructure

Comprehensive organization management including configurations, connections, roles, and permissions.

Manage Datadog Powerpacks for creating and sharing reusable dashboard widget templates across teams and organizations.

Manage RUM-based metrics and retention filters for Real User Monitoring data. Create custom metrics from RUM events and control data retention with sampling filters.

Query Real User Monitoring events and analytics.

Configure SAML Single Sign-On (SSO) by uploading Identity Provider (IdP) metadata for secure authentication integration.

Manage Datadog Service Scorecards including rules, outcomes, and service evaluation for organizational best practices and compliance tracking.

Manage Cloud Security Posture Management (CSPM), vulnerability management, security findings, SBOM analysis, and CSM coverage monitoring.

Query security monitoring signals and manage security rules.

Manage Datadog Service Catalog including service definitions, dependencies, ownership, and entity relationships.

Manage Service Level Objectives including listing, viewing, and deleting SLOs.

Optimize Apache Spark workload configurations with AI-powered resource recommendations based on historical usage patterns. Get rightsized CPU, memory, and storage recommendations for Spark drivers and executors.

Manage Static Code Analysis (SAST) and Software Composition Analysis (SCA) for code quality, security vulnerabilities, and dependency management.

Manage synthetic tests including listing and viewing test configurations.

Manage third-party integrations including PagerDuty, Slack, OpsGenie, Microsoft Teams, Fastly, Confluent Cloud, Cloudflare, and Okta account configurations.

Query APM traces and spans for distributed tracing analysis.

Track Datadog usage and billing across all products including infrastructure hosts, logs, metrics, APM, synthetics, and view cost attribution by tags.

Comprehensive user and team management including users, service accounts, teams, memberships, SCIM, authentication mappings, and permissions.

Manage Datadog Workflow Automation including workflow creation, execution, monitoring, and connection management.

APM - traces, services, dependencies, performance analysis.

Use pup CLI for immediate Datadog operations or generate code for integration into applications

Live Debugger - inspect runtime argument/variable values in production by placing log probes on methods. Use when asked what values a function receives, what parameters look like at runtime, or to capture live data from running services without redeploying.

Datadog docs lookup using docs.datadoghq.com/llms.txt and linked Markdown pages.

File GitHub issues to the right repository (pup CLI or plugin)

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

Monitor management - create, update, mute, and alerting best practices.

Datadog CLI (pup). OAuth2 auth with token refresh.

Symbol Database - search service symbols, find probe-able methods.