Adaptive ML

What Adaptive ML does

Datadog is a unified observability platform that provides monitoring, security, and AI-driven solutions for developers, IT operations teams, and business users in the cloud age. The platform offers a comprehensive suite of products including infrastructure monitoring, log management, application performance monitoring (APM), network monitoring, security solutions, and digital experience monitoring. Datadog's AI capabilities, branded as 'Bits AI', include AI agents for chat, investigation, and remediation, as well as tools for AI-assisted code generation and custom AI agent building. The platform is designed to provide end-to-end visibility across systems, applications, and services, supporting various environments including on-premise, hybrid, edge, and multi-cloud. Datadog emphasizes open standards, with significant contributions to OpenTelemetry, and offers extensive integrations with over 1,000 technologies. It aims to help organizations detect and resolve issues faster, optimize performance, enhance security, and accelerate innovation.

Products

• InfrastructureFrom overview to deep details, fast. Provides metrics, visualizations, and alerting to maintain, optimize, and secure cloud or hybrid environments.
• Log ManagementAnalyze and explore logs for rapid troubleshooting, automatically collect logs, and navigate seamlessly between logs, metrics, and request traces.
• APMMonitor, optimize, and investigate app performance, trace requests end-to-end, and track app performance with auto-generated service overviews.
• Bits AIAI agents that chat, investigate, and remediate issues. Includes Bits Chat, Bits Investigation, Bits Code, and Bits Agent Builder.
• SecurityOutpace AI-powered attacks with unified security and observability, decode runtime execution, eliminate exposure in dynamic AI environments, and execute Detection and Response.
• Network MonitoringAnalyze network traffic patterns across cloud environments, unify network visibility across multi-cloud, hybrid, and on-premises environments.
• Synthetic MonitoringProactive, AI-driven monitoring of critical application features, monitor critical user journeys, and detect and alert on performance issues.
• Real User MonitoringMonitor user journeys and frontend performance in one place, visualize load times, frontend errors, and resources for every user session.
• ServerlessA comprehensive view of serverless applications.
• AI CreditsUnits of intelligent work performed by Datadog’s AI products.
• Agent ObservabilityMonitoring and visibility for agents.
• Storage ManagementMonitoring and management for storage.
• Edge Device MonitoringMonitoring for edge devices.
• Kubernetes AutoscalingAutoscaling capabilities for Kubernetes environments.
• Datadog Disaster RecoveryDisaster recovery solutions.
• Cloud Cost ManagementTools for managing cloud costs.
• Managed Platform OTLPManaged OpenTelemetry Protocol platform.
• Universal Service MonitoringMonitoring across all services.
• Data Streams MonitoringMonitoring for data streams.
• Database MonitoringMonitoring for databases.
• Data ObservabilityObservability for data.
• Jobs MonitoringMonitoring for jobs.
• Quality MonitoringMonitoring for quality.
• Error TrackingTracking and managing errors.
• Sensitive Data ScannerScans for sensitive data.
• Audit TrailProvides an audit trail of activities.
• Observability PipelinesPipelines for observability data.
• Archive SearchSearch capabilities for archived data.
• Workload ProtectionProtection for workloads.
• Cloud SIEMSecurity Information and Event Management for the cloud.
• Cloud SecuritySecurity solutions for cloud environments.
• App and API ProtectionProtection for applications and APIs.
• Code SecuritySecurity for code.
• Digital ExperienceMonitoring and analytics for digital experiences.
• Product AnalyticsProvides a complete picture of product, user, and performance data across applications.
• ExperimentsTools for running experiments.
• Session ReplayReplays user sessions to visualize behavior.
• Synthetic Testing & MonitoringProactive testing and monitoring.
• Software DeliverySolutions for software delivery.
• Code CoverageTracks and enforces test coverage across codebases.
• Feature FlagsManages feature flags.
• CI Pipeline VisibilityVisibility into CI pipelines.
• Continuous TestingSupports continuous testing.
• Test OptimizationOptimizes testing processes.
• Service ManagementSolutions for service management.
• App BuilderBuilds applications.
• Incident ResponseTools for incident response.
• Event ManagementManages events.
• Workflow AutomationAutomates workflows.
• Bits ChatSearch and analyze telemetry, create dashboards and notebooks, and inspect monitors with natural language.
• Bits InvestigationAutomatically investigate alerts, correlate telemetry, identify root causes, summarize impact, and apply remediations.
• Bits CodeTurn Datadog context into faster fixes with AI-assisted code generation, review, and debugging.
• Bits Agent BuilderBuild custom AI agents that automate high-value workflows like incident response and custom reporting.
• MetricsCollects and analyzes metrics from various sources.
• Container MonitoringMonitoring for containerized environments.
• CloudcraftVisualizes cloud infrastructure.
• GPU MonitoringMonitoring for GPU performance.
• Continuous ProfilerContinuously profiles applications.
• Dynamic InstrumentationDynamically instruments applications.
• Software Composition AnalysisAnalyzes software composition for security vulnerabilities.
• Static Code Analysis (SAST)Performs static application security testing.
• Runtime Code Analysis (IAST)Performs interactive application security testing.
• IaC SecuritySecurity for Infrastructure as Code.
• Cloud Security Posture ManagementManages cloud security posture.
• Cloud Infrastructure Entitlement ManagementManages entitlements for cloud infrastructure.
• Vulnerability ManagementManages vulnerabilities.
• ComplianceEnsures compliance with various standards.
• Security Labs ResearchResearch on security threats and vulnerabilities.
• Open Source ProjectsSupports open source projects.
• Secret ScanningScans for secrets in code and configurations.
• Browser Real User MonitoringReal user monitoring for web browsers.
• Mobile Real User MonitoringReal user monitoring for mobile applications.
• Mobile App TestingTesting for mobile applications.
• Internal Developer PortalProvides a portal for internal developers.
• IDE PluginsPlugins for Integrated Development Environments.
• AI ImpactAnalyzes the impact of AI.
• Software CatalogCatalog of software components.
• Service Level ObjectivesManages Service Level Objectives.
• WatchdogAI-powered monitoring and anomaly detection.
• AI IntegrationsIntegrations with AI tools and services.
• Bits AI AgentsAI agents for various tasks.
• Bits Security AnalystAI-powered security analysis.
• MCP ServerServer for MCP tools.
• Pup CLICommand-line interface tool.
• Agent DirectoryDirectory of agents.
• AlertsProvides alerting capabilities.
• DashboardsCustomizable dashboards for data visualization.
• NotebooksInteractive notebooks for data analysis.
• Mobile AppMobile application for monitoring.
• Fleet AutomationAutomates fleet management.
• Governance ConsoleConsole for governance.
• Access ControlManages access control.
• CoScreenCollaboration tool.
• TeamsManages teams.
• OpenTelemetrySupports OpenTelemetry for observability.
• IntegrationsIntegrates with various technologies.
• APIProvides API access.
• MarketplaceMarketplace for integrations and solutions.
• DORA MetricsTracks DORA metrics for software delivery performance.

Key capabilities

• Unified observability platform
• AI agents for chat, investigation, and remediation (Bits AI)
• AI-assisted code generation, review, and debugging (Bits Code)
• Custom AI agent building (Bits Agent Builder)
• End-to-end visibility across systems, apps, and services
• Extensive integrations (1,000+)
• Real-time interactive dashboards
• Alerting on performance problems
• Full API access
• Unified security and observability
• Continuous assessment of risk in cloud and AI environments
• AI-assisted investigation for security threats
• Proactive, AI-driven monitoring of critical application features (Synthetic Monitoring)
• Real User Monitoring (RUM) for user journeys and frontend performance
• Product Analytics for product, user, and performance data
• Code Coverage for tracking and enforcing test coverage
• OpenTelemetry native observability platform
• SaaS-based infrastructure monitoring
• AIOps to reduce alert fatigue
• Deep visibility into infrastructure performance
• Continuous historical records for infrastructure
• One-click correlation of metrics, traces, logs, and security signals
• Continuous configuration checks for cloud security
• Automated detection and prioritization of cloud vulnerabilities
• Support for 15+ compliance frameworks (e.g., PCI DSS, SOC 2, HIPAA, GDPR, CIS)
• Proactive detection of leaked API/application keys
• Restriction of unsafe passwords
• Warning for potentially harmful links in user-generated content
• SAML-based single sign-on
• Multi-factor authentication (MFA)
• Role-Based Access Control (RBAC)
• Session management

Use cases

• Cloud monitoring as a service
• Analyzing and exploring logs for rapid troubleshooting
• Monitoring, optimizing, and investigating app performance
• Defending against AI-powered attacks
• Analyzing network traffic patterns
• Proactive monitoring of critical application features
• Monitoring user journeys and frontend performance
• Gaining a comprehensive view of serverless applications
• Reducing time to incident resolution
• Automating investigations from alerts
• Fixing and deploying code autonomously with AI assistance
• Creating custom AI agents for operational workflows
• Searching and analyzing telemetry with natural language
• Generating, reviewing, and debugging code with AI assistance
• Automating incident response and custom reporting
• Tracking, enforcing, and improving test coverage
• Gaining unified visibility into test coverage
• Enforcing consistent testing standards with automated PR quality gates
• Improving test reliability with context-driven insights
• Monitoring, troubleshooting, and optimizing application performance
• Tracing requests from end to end across distributed systems
• Tracking app performance with auto-generated service overviews
• Graphing and alerting on error rates or latency percentiles
• Analyzing and exploring log data in context
• Automatically collecting logs from all services, applications, and platforms
• Navigating seamlessly between logs, metrics, and request traces
• Visualizing and alerting on log data
• Proactively monitoring user experience
• Monitoring critical user journeys
• Detecting and alerting on performance issues for users in various locations
• Managing SLAs and SLOs
• Correlating frontend performance with business impact
• Visualizing load times, frontend errors, and resources for every user session
• Troubleshooting quickly with frontend, backend, and business metrics in one view
• Unifying network visibility across clouds, applications, and devices
• Remediating issues effectively with intelligent insights and alerting
• Building real-time interactive dashboards
• Discussing issues in-context with production data
• Snapshotting potential issues and notifying teams
• Receiving alerts on any metric
• Building complex alerting logic
• Instrumenting apps and writing new integrations
• Capturing events and metrics from applications
• Assessing and enhancing security posture
• Detecting and stopping threats in real time
• Routing security findings into developer workflows
• Providing context to Dev and Ops teams to fix critical gaps
• Enhancing visibility across OpenTelemetry applications and teams
• Prioritizing product development decisions based on quantifiable metrics
• Measuring the impact of every feature change
• Optimizing user journeys with sankeys, funnels, and conversion analysis
• Identifying golden paths to increase feature adoption and user conversion
• Capturing real user behavior and visualizing complete journeys
• Identifying high- and under-performing content with heatmaps
• Improving user retention through cohort analysis
• Correlating frustration signals and engagement metrics with core web vitals and mobile performance
• Monitoring in the cloud
• Maintaining, optimizing, and securing cloud or hybrid environments
• Simplifying troubleshooting of infrastructure issues
• Diagnosing infrastructure issues and speeding up incident response
• Tracking configuration changes across multi-cloud environments
• Understanding and fixing tagging issues
• Securing cloud infrastructure
• Tracking and fulfilling audit requirements
• Modernizing IT systems while meeting compliance obligations (e.g., HIPAA)
• Improving patient experience in healthcare
• Monitoring the health, security, and performance of business-critical systems in financial services
• Detecting and resolving issues faster in financial services
• Shipping AI with confidence in financial services
• Proving ROI in financial services
• Modernizing business-critical technologies in manufacturing and logistics
• Improving resilience, performance, costs, and security in manufacturing and logistics
• Securely analyzing IT systems and end-user activity to resolve technology issues
• Onboarding new technologies with less risk and better performance

AI approach

Datadog leverages AI to enhance its observability platform, offering AI agents for chat, investigation, remediation, and custom workflow automation. It also uses AI for security, monitoring, and optimizing application performance. The company actively contributes to open standards, including the emerging GenAI standard for OpenTelemetry.

Tech named: Generative AI, Reinforcement Learning, Large Language Models, RLHF, RLAIF, AIOps, AI-assisted investigation, AI-assisted code generation, AI-driven monitoring, AI/ML, GenAI standard

Industries served

• Technology
• Financial Services
• Manufacturing & Logistics
• Healthcare/Life Sciences
• Retail/E-Commerce
• Government
• Education
• Media & Entertainment
• Gaming

What it says sets it apart

• Unified observability platform for monitoring, security, and AI-driven operations
• AI agents (Bits AI) for chat, investigation, remediation, and custom agent building
• AI-assisted code generation, review, and debugging
• Extensive integrations with over 1,000 technologies
• OpenTelemetry native platform with significant contributions to the project
• AI-driven monitoring and security capabilities
• End-to-end visibility across hybrid and multi-cloud environments
• Proactive security features including leaked key detection and unsafe password restriction
• SaaS-based platform with simple deployment and management
• AIOps for reducing alert fatigue and correlating events
• One-click correlation of metrics, traces, logs, and security signals
• Support for numerous compliance frameworks
• Ability to build custom AI agents for operational workflows
• Comprehensive product analytics with session replay and user journey optimization
• Strong focus on developer and IT operations teams in the cloud age