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Infrastructure · llms.txt file breakdown

Datadog llms.txt

AI-Powered Observability and Security. See inside any stack, any app, at any scale, anywhere.

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# Datadog

> AI-Powered Observability and Security. See inside any stack, any app, at any scale, anywhere.

Datadog is the leading cloud-based monitoring and analytics platform for applications, infrastructure, logs, and user experience. We help organizations optimize application performance, troubleshoot issues, and enhance digital experiences at scale.

## Company Information

- [About Datadog](https://www.datadoghq.com/about/)
- [Contact Us](https://www.datadoghq.com/about/contact/)
- [Careers](https://careers.datadoghq.com/)
- [Leadership Team](https://www.datadoghq.com/about/leadership/)

## Free Trial
- [Free 14 Day Trial](https://www.datadoghq.com/free-datadog-trial/)

## Datadog for Startups
- [Datadog for Startups - Scale confidently with a free year of Datadog](https://www.datadoghq.com/partner/datadog-for-startups/)

## Core Products
- [Datadog Experiments](https://www.datadoghq.com/product/experiments.md): Run trusted experiments and A/B tests faster. Validate ideas with real-time behavioral, performance, and warehouse-native business metrics.
- [Serverless Monitoring & Observability](https://www.datadoghq.com/product/serverless-monitoring.md): Monitor your entire serverless environment, from API Gateway to Lambda Functions, and quickly resolve performance issues all in a single platform with Datadog.
- [Datadog Agent Observability](https://www.datadoghq.com/product/ai/llm-observability/index.md): Group, prioritize and resolve errors with speed and confidence. All in one place.
- [GPU Monitoring for AI Workloads](https://www.datadoghq.com/product/gpu-monitoring.md): Monitor GPU capacity, performance, health, and cost in one place. Pinpoint stalled AI workloads, reclaim idle capacity, and reduce wasted spend.
- [Real User Monitoring](https://www.datadoghq.com/product/real-user-monitoring.md): Datadog’s Real User Monitoring enables IT teams with user data and metrics to optimize frontend performance. Learn how to get started with RUM and begin enhancing performance.
- [Synthetic Monitoring - API and Browser Testing](https://www.datadoghq.com/product/synthetic-monitoring.md): Datadog Synthetic Monitoring allows you to run API and browser tests to simulate how your systems are performing and ensure you catch issues before real users are impacted.
- [Network Monitoring](https://www.datadoghq.com/product/network-monitoring.md): Network monitoring with Datadog provides full visibility into every layer of your environment - whether in the cloud, on-premise or a hybrid. Try it free.
- [Sensitive Data Scanner](https://www.datadoghq.com/product/sensitive-data-scanner.md): Datadog’s Sensitive Data Scanner helps businesses meet compliance goals by discovering, classifying, and redacting sensitive data — in real-time and at scale. Datadog scans for patterns of sensitive data at the edge or during ingestion and then hashes or redacts it following built-in or user-defined rules to help businesses stay compliant with GDPR, HIPAA, CCPA, and more.
- [Universal Service Monitoring](https://www.datadoghq.com/product/universal-service-monitoring.md): Instantly discover, map, and monitor every service—without changing code— using Datadog Universal Service Monitoring. Learn more.
- [Cloud SIEM](https://www.datadoghq.com/product/cloud-siem.md): An AI-driven threat detection and incident response platform for security operations teams.
- [Datadog Disaster Recovery](https://www.datadoghq.com/product/datadog-disaster-recovery.md): Maintain observability continuity during cloud provider region outages. Recover live telemetry, dashboards, and monitors at an operational secondary Datadog site with zero re-instrumentation.
- [Audit Trail](https://www.datadoghq.com/product/audit-trail.md): Learn how your organization can adopt Datadog while maintaining regulatory compliance, enforcing platform governance and building transparency
- [Cloud Security](https://www.datadoghq.com/product/cloud-security.md): Learn how Datadog Cloud Security delivers real-time threat detection and continuous configuration audits across your entire cloud infrastructure
- [Data Streams Monitoring](https://www.datadoghq.com/product/data-streams-monitoring.md): Easily map, monitor, and troubleshoot your streaming data pipelines with Datadog Data Streams Monitoring. Learn more.
- [Cloud Cost Management](https://www.datadoghq.com/product/cloud-cost-management.md): Unify cost and performance data to empower engineers to optimize workloads and enable FinOps to reduce waste and drive business outcomes
- [Database Monitoring](https://www.datadoghq.com/product/database-monitoring.md): Resolve issues and optimize inefficient query performance across entire database fleets
- [Observability Pipelines](https://www.datadoghq.com/product/observability-pipelines.md): Control costs, simplify SIEM migrations, and manage sensitive data at scale
- [App & API Protection](https://www.datadoghq.com/product/app-and-api-protection.md): Production visibility and security for your web applications and APIs
- [Archive Search](https://www.datadoghq.com/product/archive-search.md): Search live and historical logs in one query experience
- [Jobs Monitoring](https://www.datadoghq.com/product/data-observability/jobs-monitoring.md): Observe, troubleshoot, and cost-optimize your Spark and Databricks jobs across data pipelines—using Datadog Jobs Monitoring. Try it free now.
- [Quality Monitoring](https://www.datadoghq.com/product/data-observability/quality-monitoring.md): Datadog Quality Monitoring helps teams ensure the reliability of the data that underpins their analytics across the entire data lifecycle. Try it free now.
- [DORA Metrics](https://www.datadoghq.com/product/platform/dora-metrics.md): Consistently measure and improve the speed and quality of software delivery across teams & services
- [Code Security Platform](https://www.datadoghq.com/product/code-security.md): Improve your code security posture from development to production using static and runtime testing (SCA, SAST, IAST) on 1st party code and open source libraries
- [Cloudcraft](https://www.datadoghq.com/product/cloudcraft.md): Cloudcraft allows you to visualize and communicate your cloud architecture with ease. Start your free trial now.
- [Bits Agent Builder](https://www.datadoghq.com/product/ai/bits-agent-builder.md): Build custom AI agents inside Datadog that investigate, decide, and act on your behalf to automate incident response, observability, security, and operational workflows.
- [Bits Chat](https://www.datadoghq.com/product/ai/bits-chat.md): Search and act across Datadog with natural language to resolve issues faster. Explore metrics, logs, traces, and more from a single conversational interface in Datadog, Slack, or mobile.
- [AI Credits](https://www.datadoghq.com/product/ai/ai-credits.md): Reduce time to incident resolution and help teams move faster with AI built for your stack.
- [Bits Code](https://www.datadoghq.com/product/ai/bits-code.md): Resolve production issues faster with autonomous, AI-generated code fixes grounded in your observability data.
- [Measure AI Coding Tool Impact](https://www.datadoghq.com/product/software-delivery/ai-impact.md): Datadog AI Impact connects AI coding tool adoption to delivery and stability metrics so engineering leaders can prove ROI and pick the highest-impact tools
- [Governance Console](https://www.datadoghq.com/product/governance-console.md): Monitor, enforce, and scale governance across your observability stack with unified visibility into cost, access control, tagging, and usage best practices.
- [AI Agent Directory](https://www.datadoghq.com/product/ai/agent-directory.md): Connect your favorite AI coding agents to Datadog. Observe, debug, and secure your stack with Cursor, Claude Code, VS Code, GitHub Copilot, and more.
- [Bits Security Analyst](https://www.datadoghq.com/product/ai/bits-security-analyst.md): Bits Security Analyst is an always-on SOC analyst teammate built to handle complex threat investigations and security alerts.
- [MCP Server | CLI | AI Agent-Ready Observability](https://www.datadoghq.com/product/ai/mcp-server.md): Datadog MCP Server and Pup CLI connect AI agents to observability data, helping engineers debug in AI agents with real-time telemetry and within security and governance controls.
- [Code Coverage](https://www.datadoghq.com/product/code-coverage.md): Track, enforce, and improve test coverage across your entire codebase in one platform
- [Log Management & Analytics](https://www.datadoghq.com/product/log-management.md): Datadog Log Management enables you to collect, monitor, manage, and analyze large volumes of logs as well as unify metrics and traces all in one platform.
- [Bits AI](https://www.datadoghq.com/product/ai/bits-ai-agents.md): Datadog’s generative AI interface responds to conversational queries to help you explore your observability data and take action.
- [Bits Investigation](https://www.datadoghq.com/product/ai/bits-investigation.md): Bits Investigation is an AI SRE agent grounded in thousands of real-world incidents, identifying root causes 90% faster so teams can resolve issues confidently.
- [Feature Flags](https://www.datadoghq.com/product/feature-flags.md): Datadog Feature Flags natively integrates observability data with feature flags
- [Bring Your Own Cloud Log Management](https://www.datadoghq.com/product/byoc-logs.md): Store and search logs at petabyte scale in your own infrastructure
- [Internal Developer Portal](https://www.datadoghq.com/product/internal-developer-portal.md): Ship quickly and confidently with developer self-service, delivery guardrails, and live system data.
- [Container Monitoring](https://www.datadoghq.com/product/container-monitoring.md): Turn container insights into action with AI-powered observability, remediation, and optimization
- [Custom Metrics](https://www.datadoghq.com/product/metrics.md): Gain complete visibility into infrastructure, application, and business metrics. Datadog unifies metrics, logs, and traces, so you can analyze them in context.
- [Infrastructure Monitoring](https://www.datadoghq.com/product/infrastructure-monitoring.md): Complete visibility into infrastructure performance and security with easy deployment, minimal maintenance, and unmatched breadth of coverage.
- [Application Performance Monitoring (APM)](https://www.datadoghq.com/product/apm.md): Easily monitor service health metrics, distributed traces, and code performance with cloud-scale Application Performance Monitoring (APM). Learn more.
- [Continuous Profiler](https://www.datadoghq.com/product/code-profiling.md): Datadog Continuous Profiler enables you to automatically analyze and correlate profile data with distributed traces to optimize code performance in production.
- [Dynamic Instrumentation](https://www.datadoghq.com/product/dynamic-instrumentation.md): Instantly add logs, spans, metrics, and span tags for your services using Datadog Dynamic Instrumentation
- [Static Code Analysis](https://www.datadoghq.com/product/static-code-analysis.md): Deliver secure code, fast by finding and fixing vulnerabilities natively in your development workflow
- [Watchdog](https://www.datadoghq.com/product/platform/watchdog.md): Learn how Watchdog, Datadog’s AI engine, proactively uncovers and alerts you to performance issues across your entire stack.
- [Cloud Workload Protection](https://www.datadoghq.com/product/workload-protection.md): Full-stack security for your production environment.
- [Runtime Code Analysis](https://www.datadoghq.com/product/iast.md): Code Security detects real vulnerabilities in application code with a production-ready IAST. Fix code vulnerabilities before they become breaches with Datadog.

## Solutions
- [Database Visibility](https://www.datadoghq.com/solutions/database-visibility/)
- [On-Premises Monitoring](https://www.datadoghq.com/solutions/on-premises-monitoring/)
- [Government Monitoring Solutions | Datadog](https://www.datadoghq.com/solutions/government/)
- [Transform Your Organization’s FinOps Practice](https://www.datadoghq.com/solutions/finops/)
- [Application Security](https://www.datadoghq.com/solutions/application-security/)
- [OCI Monitoring](https://www.datadoghq.com/solutions/oci-monitoring/)
- [Cloud Native Application Protection Platform (CNAPP)](https://www.datadoghq.com/solutions/cnapp/)
- [Unifed Commerce Monitoring](https://www.datadoghq.com/solutions/unified-commerce-monitoring/)
- [OpenTelemetry](https://www.datadoghq.com/solutions/opentelemetry/)
- [SAP Monitoring Solutions](https://www.datadoghq.com/solutions/sap-monitoring/)
- [SOAR](https://www.datadoghq.com/solutions/soar/)
- [Tool Consolidation](https://www.datadoghq.com/solutions/monitoring-consolidation/)
- [Digital Media & Entertainment Monitoring](https://www.datadoghq.com/solutions/media-entertainment/)
- [Education Monitoring Solutions](https://www.datadoghq.com/solutions/education/)
- [Healthcare & Life Sciences Monitoring](https://www.datadoghq.com/solutions/healthcare/)
- [Manufacturing & Logistics Monitoring](https://www.datadoghq.com/solutions/manufacturing-logistics/)
- [Monitoring Solutions for Financial Services](https://www.datadoghq.com/solutions/financial-services/)
- [Monitoring Solutions for Gaming Industry](https://www.datadoghq.com/solutions/gaming/)
- [Monitoring Solutions for Technology Companies](https://www.datadoghq.com/solutions/technology/)
- [Retail & E-Commerce Monitoring](https://www.datadoghq.com/solutions/retail-ecommerce/)
- [OpenAI LLM Monitoring](https://www.datadoghq.com/solutions/openai/)
- [Datadog’s AWS Specializations](https://www.datadoghq.com/solutions/aws/specializations/)
- [Pivotal Platform](https://www.datadoghq.com/solutions/pivotal-platform/)
- [Digital Experience Monitoring](https://www.datadoghq.com/solutions/digital-experience-monitoring/)
- [Digital Experience Monitoring with AWS](https://www.datadoghq.com/solutions/digital-experience-monitoring/aws/)
- [AWS Compliance using CIS Benchmarks](https://www.datadoghq.com/solutions/security/cis-benchmarks/aws/)
- [AWS Monitoring](https://www.datadoghq.com/solutions/aws/)
- [Azure Monitoring](https://www.datadoghq.com/solutions/azure/)
- [Cloud Migration Tools & Solutions](https://www.datadoghq.com/solutions/cloud-migration/)
- [DevOps Monitoring](https://www.datadoghq.com/solutions/devops/)
- [Digital Media and Entertainment Monitoring](https://www.datadoghq.com/solutions/media-entertainment/aws/)
- [Edge Monitoring](https://www.datadoghq.com/solutions/edge-monitoring/)
- [Edge Monitoring in Transportation and Logistics](https://www.datadoghq.com/solutions/edge-monitoring/transportation-and-logistics/)
- [Google Cloud Monitoring](https://www.datadoghq.com/solutions/googlecloud/)
- [Hybrid Cloud Monitoring](https://www.datadoghq.com/solutions/hybrid-cloud-monitoring/)
- [Kubernetes Monitoring](https://www.datadoghq.com/solutions/kubernetes/)
- [Machine Learning Based Monitoring](https://www.datadoghq.com/solutions/machine-learning/)
- [Real-Time Business Intelligence](https://www.datadoghq.com/solutions/real-time-business-intelligence/)
- [Red Hat OpenShift Monitoring](https://www.datadoghq.com/solutions/openshift/)
- [Retail & E-Commerce hosted on AWS](https://www.datadoghq.com/solutions/retail-ecommerce/aws/)
- [Security Analytics](https://www.datadoghq.com/solutions/security-analytics/)
- [Shift-Left Testing](https://www.datadoghq.com/solutions/shift-left-testing/)
- [Log Analysis and Correlation](https://www.datadoghq.com/solutions/log-analysis-and-correlation/)

## Case Studies
- [How STOXX maintains accurate, real-time index data with Datadog](https://www.datadoghq.com/case-studies/stoxx/)
- [Modal scales the next generation of AI with unified observability from Datadog](https://www.datadoghq.com/case-studies/modal/)
- [How PayMongo scales and secures its platform processing billions in payments](https://www.datadoghq.com/case-studies/paymongo/)
- [GetGo](https://www.datadoghq.com/case-studies/getgo/)
- [How Tapple used Datadog Feature Flags to migrate a monolith to microservices while confidently deploying AI](https://www.datadoghq.com/case-studies/tapple/)
- [How Nomad Health controls AI costs and risk with Datadog Agent Observability](https://www.datadoghq.com/case-studies/nomad-health/)
- [Tmap Mobility drives smarter observability and leaner cloud costs with Datadog](https://www.datadoghq.com/case-studies/tmap/)
- [Contentful](https://www.datadoghq.com/case-studies/contentful/)
- [GS Retail builds a DevSecOps foundation and accelerates incident response with Datadog](https://www.datadoghq.com/case-studies/gs-retail/)
- [KRAFTON PUBG Studio](https://www.datadoghq.com/case-studies/krafton/)
- [VROONG unifies observability and builds a FinOps culture to support real-time logistics at scale](https://www.datadoghq.com/case-studies/vroong/)
- [How UNESP unified observability across 36 campuses with Datadog](https://www.datadoghq.com/case-studies/unesp/)
- [How Artemis Security helps customers scale their security operations while reducing its annualized AI costs by $280K with Datadog](https://www.datadoghq.com/case-studies/artemis/)
- [How LayerX scales enterprise agentic workflows with Datadog Agent Observability](https://www.datadoghq.com/case-studies/layerx/)
- [Delightroom automates incident response and scales global operations with Datadog and Bits AI](https://www.datadoghq.com/case-studies/delightroom/)
- [NTT DATA validates AI agent quality and cuts costs 50% with Datadog Agent Observability](https://www.datadoghq.com/case-studies/ntt-data/)
- [Snoonu scales AI-powered delivery with Datadog Agent Observability and Custom Metrics](https://www.datadoghq.com/case-studies/snoonu/)
- [V Point Marketing consolidates multi-cloud monitoring and security to speed incident response](https://www.datadoghq.com/case-studies/v-point-marketing/)
- [Webdox builds a unified, enterprise-grade security operation on Datadog](https://www.datadoghq.com/case-studies/we

Measured from the saved file

Linked document

UTF-8 text size
578.0 KB591846 bytes
Token count
133010o200k_base encoding
Markdown links
24092408 distinct URLs
Fenced code blocks
02456 lines in the file

Size measures the captured UTF-8 text, not compressed transfer size. Tokens are counted with a named tokenizer; other models can count differently. Neither measure establishes context compatibility or answer quality.

Project H1
Datadog

Opening blockquote

AI-Powered Observability and Security. See inside any stack, any app, at any scale, anywhere.

Context architecture

How the content is divided

16 H2 sections organize 2409 parsed Markdown links. 2152 links point to .md or .markdown paths; 9 link occurrences use another hostname. Linked destinations have not been recursively validated.

H2 sectionLinksUTF-8 bytesTokens
Company InformationLine 8422068
Free TrialLine 1517025
Datadog for StartupsLine 18113138
Core ProductsLine 2150108922321
SolutionsLine 73433818951
Case StudiesLine 1185066131701
Resources and ArchitectureLine 17085114962843
Support ResourcesLine 257210430
Certifications and Learning ResourcesLine 262213441
About PagesLine 26750109192701
Knowledge CenterLine 31950126582708
Blog PostsLine 3712052532807119071
Additional Content IndexesLine 2426323767
Main Navigation LinksLine 24347364109
Status PagesLine 24447456144
Error TrackingLine 2454223156

Nested indexes

3 distinct links point to other llms.txt paths. These are routes to more indexes, not proof their contents were included in this file.

Link counts exclude parsed fenced and inline code and resolve relative destinations against the final endpoint. Section sizes cover the text below each H2 until the next H2.

Embedded material

Code, installation and API examples

Fenced blocks
0 closed
Declared languages
No fenced blocks detected
Package-install commands
0 detected in fenced or inline code
Authentication examples
0 fenced lines match API-key, Authorization, Bearer, OAuth or access-token patterns
HTTP request examples
0 fenced lines match request-method patterns
Authentication links
4 links have authentication-related labels

Embedded example text and links to further documentation are counted separately. A code block does not establish that a sample runs or that an authentication flow succeeds.

Publisher prioritization

The Optional section

No H2 section named “Optional” was detected in this file.

The community proposal uses Optional by convention for secondary links that can be skipped for a shorter context. This label does not establish that everything outside it is critical, or that the material inside it is deprecated.

Machine-readable routes

MCP references and configuration text

MCP-related text was detected in the captured file. 14 links have MCP-related labels or paths. 0 fenced lines match mcpServers, mcp_servers or an mcp add command.

These are text and link observations. No MCP server connection, authentication or tool call was tested.

Index and bundle

llms-full.txt companion

Not found at checked URLs

A verified text response establishes a companion at the checked URL. It does not prove the bundle contains all product documentation, that generation is automated, or that it fits an assistant’s context window.

Change evidence

What can be said about freshness

This capture establishes a baseline. Update frequency cannot be determined from one observation.

Linked release and migration material

74 links have release, changelog, deprecation or migration terms in their labels or paths. These provide places to investigate product changes separately.

File changes can reveal documentation edits or navigation changes. They do not by themselves measure product release velocity, accuracy, agent adoption or AI visibility.

Capture identity and measurement method
Requested endpoint
https://www.datadoghq.com/llms.txt
Final endpoint
https://www.datadoghq.com/llms.txt
HTTP status
200
Content type
text/plain; charset=utf-8
Text retrieval
Firecrawl literal text capture
Tokenizer
tiktoken 0.14.0 · o200k_base
SHA-256 of saved UTF-8 text
b73721104754d7d195097c44c865342b2ee167d4baa15168e7ed610c24985f2e

Counts use a deterministic parser, not a spec-compliance grade. Unusual Markdown and indented code can fall outside its recognized patterns. See the llms.txt proposal and tokenizer implementation.

Related tools and resources

Prefer to write? Send Jon a message.