What is
Datadog
?
Most platform initiatives fail the same way: they start too big, get funded like projects instead of products, build for too long without testing with users, and confuse renaming an infrastructure team with building a platform team. Instead, start small, learn fast and scale deliberately.
At a glance
Attribute | Value |
|---|---|
Primary use case | Unified infrastructure and application observability with integrated security monitoring |
Deployment type | SaaS platform with host-based agents and application SDKs |
Pricing model | Free tier and usage-based paid plans, including per-host monitoring and per-GB log pricing |
API compatibility | OpenTelemetry, HTTP API with API-key authentication |
Supported integrations | AWS, Azure, Google Cloud, Oracle Cloud, Kubernetes, Red Hat OpenShift, Pivotal Platform, OpenAI, SAP, Centreon, GitHub, Apache Airflow |
Source type | Dual |
Cloud provider | Multi-Cloud |
Ideal team size | Medium to Large |
Required skills | Agent installation and configuration, integration setup, network configuration, application instrumentation, metrics and alert configuration |
AEP branch | Tooling |
AEP category | Observability Plane |
AEP subcategory | Full-stack Incumbents |
Profile
Datadog is classified as a Full-stack Incumbents observability tool. Its SaaS platform brings together products for infrastructure and application monitoring, logs, security, digital experience, software delivery, and service management.
Teams can collect host data with Datadog Agents and instrument applications with SDKs. The platform also supports OpenTelemetry and provides an HTTP API with API-key authentication.
Focus
Datadog serves teams that need to monitor infrastructure and applications and connect that visibility with security monitoring. Its product areas include infrastructure monitoring, application performance monitoring, log management, cloud security, and digital experience monitoring.
Its integrations include cloud providers, Kubernetes, OpenShift, GitHub, and Apache Airflow, among others.
Background
The supplied research describes Datadog as a monitoring and security platform for cloud applications and identifies its platform as SaaS. It does not provide details about the company's founding or funding.
Datadog publishes its documentation source on GitHub. The supplied research also describes the Datadog Agent as open-source software that runs on hosts and collects events and metrics.
Features
Infrastructure and cloud monitoring
Provides monitoring for infrastructure and cloud environments. Datadog lists infrastructure, network, container, serverless, storage, and GPU monitoring, along with monitoring for AWS, Azure, Google Cloud, and Oracle Cloud.
Application performance monitoring
Supports application performance monitoring and profiling. Applications can be instrumented with SDKs, while the platform also documents OpenTelemetry data collection.
Log management
Provides tools for working with logs and related data. Product areas include log management, audit trail, observability pipelines, error tracking, and Bring Your Own Cloud Log Management.
Security monitoring
Combines security monitoring with observability. Listed capabilities include cloud security, cloud SIEM, application and API protection, code security, vulnerability management, and cloud workload protection.
Digital experience monitoring
Provides ways to monitor digital experiences. The product offering includes browser and mobile real user monitoring, session replay, synthetic monitoring, and mobile app testing.
Dashboards, alerts, and service management
Supports operational visibility and response workflows. Platform capabilities include dashboards, alerts, notebooks, service level objectives, incident management, and workflow automation.
Pros and cons
Pros
Provides a broad set of monitoring and security product areas in one SaaS platform, including infrastructure, applications, logs, digital experience, and security.
Supports OpenTelemetry and offers an HTTP API with API-key authentication.
Offers integrations across multiple cloud providers and tools, including Kubernetes, GitHub, Centreon, and Apache Airflow.
Cons
Paid plans use usage-based pricing, including per-host monitoring and per-GB log pricing, so monitored host counts and log volume affect charges.
FAQs
Frequently asked questions
How does Datadog collect monitoring data?
Datadog collects data through host-based agents and application SDKs, and supports OpenTelemetry data collection.
What does Datadog integrate with?
Datadog supports integrations with AWS, Azure, Google Cloud, Oracle Cloud, Kubernetes, Red Hat OpenShift, Pivotal Platform, OpenAI, SAP, Centreon, GitHub, and Apache Airflow.
How is Datadog priced?
Datadog's pricing model is Free tier and usage-based paid plans, including per-host monitoring and per-GB log pricing.
What skills are required to set up Datadog?
Datadog setup requires agent installation and configuration, integration setup, network configuration, application instrumentation, metrics and alert configuration.
What are Datadog's limitations?
Datadog paid plans use usage-based pricing, including per-host monitoring and per-GB log pricing, so monitored host counts and log volume affect charges.
