Datadog
UnclaimedDatadog is a cloud-based, unified observability and security platform for monitoring, analyzing, and optimizing applications, infrastructure, and digital experiences across cloud environments.
Overview
Datadog is a cloud-based observability and security platform that helps organizations monitor, analyze, and optimize the performance of applications, infrastructure, logs, and user experiences. It delivers an integrated, scalable solution designed for developers, operators, and IT leaders across cloud environments, offering comprehensive visibility, proactive issue detection, and AI-assisted insights to improve reliability, security, and digital experiences.
Mission statement
To help organizations optimize software performance, security, and digital experiences across cloud environments through an integrated, AI-enabled observability platform.
What we offer
Infrastructure Monitoring
Gain real-time insights into infrastructure health and performance for proactive issue resolution.
www.datadoghq.com/product/infrastructure-monitoring/Metrics
Gain Comprehensive Visibility into Your Metrics for Optimal Performance.
www.datadoghq.com/product/metrics/Container Monitoring
Enhance visibility and performance management for your containerized applications.
www.datadoghq.com/product/container-monitoring/Kubernetes Autoscaling
Automatically Scale Kubernetes Applications Based On Demand.
www.datadoghq.com/product/kubernetes-autoscaling/Network Monitoring
Enhance network visibility and performance insights with Datadog's Network Monitoring.
www.datadoghq.com/product/network-monitoring/Serverless Monitoring
Enhance visibility and performance monitoring for serverless applications.
www.datadoghq.com/product/serverless-monitoring/Cloud Cost Management
Optimize Cloud Spending And Resource Usage Effectively.
www.datadoghq.com/product/cloud-cost-management/Application Performance Monitoring
Gain Complete Visibility Into Your Application's Performance.
www.datadoghq.com/product/apm/Universal Service Monitoring
Gain Insight Into Service Health And Performance.
www.datadoghq.com/product/universal-service-monitoring/Code Security
Enhance application safety with real-time detection of code vulnerabilities.
www.datadoghq.com/product/code-security/Market segments
Market size by segment
Growth potential (CAGR)
Infrastructure monitoring
Capabilities that collect, visualize, and alert on host, container, network, and system-level metrics to maintain infrastructure health, optimize resource usage, and support incident response.
Products: Infrastructure Monitoring
Observability for cloud-native applications
Capabilities that unify metrics, traces, and logs to help engineering and operations teams troubleshoot distributed services, correlate performance across stacks, and accelerate root-cause analysis.
Products: Infrastructure Monitoring
More information about our offering
Infrastructure Monitoring
Datadog Infrastructure Monitoring offers end-to-end visibility into your cloud environment's health and performance. With real-time metrics and customizable alerts, teams can monitor their infrastructure, troubleshoot issues, and optimize resource usage effectively.
- Monitor Performance In Real TimeLeverage comprehensive, real-time data to track performance metrics across all your infrastructure components, enhancing operational efficiency.
- Receive Timely AlertsCustomize alert thresholds for metrics that matter most, ensuring that your team can act quickly to maintain service reliability.
- Integrate Across PlatformsEasily connect and aggregate monitoring data from various cloud service providers, streamlining performance oversight.
- Visualize Infrastructure DataUtilize customizable dashboards to gain insights quickly, allowing teams to monitor trends and spot anomalies effectively.
Metrics
Datadog Metrics provides comprehensive monitoring and observability for your systems, ensuring efficient metric collection and analysis to maintain optimal performance across various infrastructures. It integrates seamlessly with other Datadog services, allowing users to visualize, alert, and analyze metrics effectively.
- Collect Metrics SeamlesslyEasily gather metrics across your entire stack, ensuring real-time insights into system health and performance.
- Proactively Manage SystemsReceive timely notifications when metrics exceed predefined thresholds, enabling quick response to system anomalies.
- Integrate with APMAutomatically connect your metrics to application performance for holistic visibility across environments.
- Visualize Data FlexiblyTailor dashboards to showcase critical metrics, improving team's ability to monitor performance effectively.
- Analyze Trends EffectivelyLeverage powerful visualization tools to identify trends in your data, aiding in performance optimization.
- Support Multi-Cloud MonitoringGain insights across various cloud providers seamlessly, enhancing flexibility and control.
Container Monitoring
Datadog's Container Monitoring provides comprehensive visibility into the performance and health of containerized applications, enabling teams to optimize their cloud environments effectively.
- Monitor Performance In Real-TimeThis feature allows users to track key performance metrics for their containers, aiding in proactive response and optimization.
- Seamlessly Integrate With KubernetesThis integration allows users to manage and monitor various Kubernetes clusters, enhancing the management of containerized applications across different environments.
- Receive Automated AlertsThis feature ensures that teams are notified of potential issues before they impact services, enabling proactive management.
- Generate Detailed Usage ReportsThese reports provide insights into resource utilization patterns, helping teams optimize their container resources and costs.
- Create Custom DashboardsCustom dashboards allow users to visualize data in a way that suits their unique operational and monitoring needs, improving insights.
Kubernetes Autoscaling
Kubernetes Autoscaling enables dynamic scaling of applications based on real-time metrics, ensuring efficient resource utilization and consistent application performance. This feature supports both horizontal and vertical scaling, allowing workloads to automatically adjust to actual demand and maintain optimal performance levels.
- Reduces Resource WasteBy scaling applications in real-time, Kubernetes Autoscaling helps reduce resource waste and cost by ensuring that only the necessary resources are allocated.
- Maintains Application PerformanceAutomatically scaling the number of pods under heavy load or traffic spikes helps maintain performance and user experience.
- Optimizes Resource AllocationVertical scaling and optimization lead to enhanced overall performance and better resource management, ensuring applications run smoothly even under varied loads.
- Enhanced Monitoring InsightsReal-time insights from Datadog facilitate informed decisions for scaling and resource management, enabling proactive adjustments as needed.
Network Monitoring
Datadog's Network Monitoring provides comprehensive visibility into your network's performance and health. Gain insights into key metrics, track network flows, and exceed SLAs with real-time analytics. Effortlessly monitor your infrastructure’s network performance across on-premises, cloud, and hybrid environments. Identify bottlenecks, troubleshoot latency issues, and improve network efficiency by integrating your monitoring capabilities seamlessly with the rest of the Datadog platform.
- Track Key Network MetricsUtilize real-time data to gauge your network's performance, ensuring optimal operation and identifying issues before they escalate.
- Analyze Traffic InstantlyAccess live metrics and conduct analyses to respond promptly to network performance issues, enhancing service reliability.
- Unify Monitoring EffortsCombine insights from infrastructure, application, and network monitoring to achieve an all-encompassing view of your operational environment.
- Receive Instant AlertsQuickly detect deviations in network performance, enabling timely interventions and minimizing downtime.
- Create Custom DashboardsBuild tailored dashboards that showcase critical metrics and KPIs, facilitating easier tracking and reporting.
Serverless Monitoring
Datadog's Serverless Monitoring provides end-to-end visibility for serverless applications. It allows teams to monitor performance, optimize resource usage, and gain insights into serverless functions across AWS Lambda and more. The platform integrates seamlessly into your existing workflows, allowing for effective tracking and alerting for serverless resources. Users can easily visualize function performance metrics and troubleshoot issues in real-time, fostering smoother deployments and improved reliability.
- Identify Issues InstantlyWith real-time metrics, teams can quickly pinpoint errors and performance bottlenecks, optimizing user experience and function reliability.
- Visualize Performance DataDashboards display performance metrics like execution time and error rates, enabling teams to make data-driven adjustments to their serverless architecture.
- Streamline WorkflowsBy connecting with various monitoring and incident management tools, Datadog Serverless Monitoring helps streamline operational approaches and promote faster incident resolutions.
- Optimize Resource UseAnalytics tools track usage patterns, providing insights that enable businesses to adjust resource allocation and reduce unnecessary expenditure.
Cloud Cost Management
Cloud Cost Management provides comprehensive visibility and insights into cloud spending, enabling organizations to optimize their cloud resource usage and reduce costs effectively. Users can track expenses, forecast future spending, and allocate budgets for better financial control over cloud services.
- Track Expenses In Real-TimeGain insights into spending patterns by tracking costs associated with different cloud resources. This helps in identifying unnecessary expenditures and optimizing resource allocation.
- Optimize Resource UtilizationReduce waste by optimizing cloud resource usage, which helps in lowering costs and improving efficiency without compromising performance.
- Forecast Future SpendingEnable proactive budget management with forecasting tools that analyze past usage to predict future costs, allowing for better financial planning.
- Generate Comprehensive ReportsProduce detailed spending reports that assist stakeholders in understanding cost distributions and making more informed financial decisions.
- Receive Budget AlertsAutomatically receive notifications when spending approaches budget limits, allowing for timely adjustments to prevent overspending.
Application Performance Monitoring
Datadog’s Application Performance Monitoring (APM) provides real-time insights into the performance of your applications and services. It enables tracking of application latency, errors, and throughput, and offers deep visibility into various transactions across complex applications. Through detailed metrics and dashboards, users can identify performance bottlenecks and optimize their resources effectively.
- Track Performance MetricsAccess crucial performance metrics like response time and error rates to quickly pinpoint issues impacting user experience.
- Visualize Request FlowsVisualize the flow of requests across multiple services, enabling better understanding of application dependencies and their impact on latency.
- Identify And Fix ErrorsQuickly identify and resolve errors across applications, ensuring higher uptime and enhanced user satisfaction.
- Create Custom DashboardsUtilize customizable dashboards to display key performance indicators tailored to organizational needs.
Universal Service Monitoring
Universal Service Monitoring offers deep insights into your services and their health. It helps track performance and availability, providing alerts and analytics to improve user experiences and operational efficiency.
- React Quickly To IssuesQuick alerts facilitate immediate actions, reducing downtime and enhancing service reliability.
- Ensure Optimal Service PerformanceBy keeping track of service health, you can quickly address issues before they impact users.
- Identify Performance BottlenecksDetailed analytics enable teams to enhance service efficiency and user experience.
Code Security
Code Security protects applications by detecting vulnerabilities in code throughout the development pipeline. It provides comprehensive analysis tools to ensure compliance and security across all codebases.
- Detect Security Flaws ProactivelySAST analyzes your source code for vulnerabilities, helping developers fix issues before the code is compiled and run, significantly reducing potential security risks.
- Assess Runtime VulnerabilitiesIAST provides insights into potential security risks while applications are running, allowing teams to fix vulnerabilities as they occur in real-time.
- Identify Vulnerabilities EarlySoftware Composition Analysis ensures that open-source components are compliant and secure by identifying known vulnerabilities, allowing teams to address issues before deployment.
- Prevent Security BreachesSecret Scanning detects any hardcoded secrets, such as API keys and passwords, preventing accidental exposure and enhancing overall security.
- Secure Infrastructure ConfigurationsIaC Security assesses your infrastructure definitions for common vulnerabilities and compliance risks, helping teams enforce security best practices in the cloud.
Sources
Methodology and sourcing behind the figures and links shown above.
Observability for cloud-native applications
Estimated using a market study for observability tools in cloud-native environments (valued at ~USD 4.01B in 2025, CAGR ~14.5%), cross-checked with data-observability market sizing (USD 2.90B in 2025, CAGR ~11.6%) and broader cloud-native applications market context (USD 12.8B in 2026, CAGR 22%). The verified market-insights figure is used as the primary basis for the cloud-native observability segment estimate; data-observability and cloud-native applications figures provide supporting context for range and growth dynamics.
- valued at USD 4.01 Billion in 2025 and projected to reach USD 15.52 Billion by 2035
- Data Observability Market was valued at USD 2.90 billion in 2025 and is expected to reach USD 8.79 billion by 2035, growing at a CAGR of 11.6%
- The Cloud Native Applications Market size is expected to be USD 12.8 billion in 2026 and increase at a compound annual growth rate of 22.0%
- Datadog
- Infrastructure Monitoring
- Metrics
- Container Monitoring
- Kubernetes Autoscaling
- Network Monitoring
- Serverless Monitoring
- Cloud Cost Management
- Application Performance Monitoring
- Universal Service Monitoring
- Code Security
- valued at USD 4.01 Billion in 2025 and projected to reach USD 15.52 Billion by 2035
- Data Observability Market was valued at USD 2.90 billion in 2025 and is expected to reach USD 8.79 billion by 2035, growing at a CAGR of 11.6%
- The Cloud Native Applications Market size is expected to be USD 12.8 billion in 2026 and increase at a compound annual growth rate of 22.0%
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