Datadog Bits AI
What is Datadog Bits AI?
Datadog Bits AI is an AI layer for SRE and security teams that turns telemetry, logs, and security signals into guided investigation and response workflows. It sits on Datadog's observability stack with Observability, Security, Service Management, and AI features, and it is used by Porsche Informatik and Auth0. The platform also provides API access and mobile access for automation and incident work on the go.
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At a glance
- Datadog Bits AI is best for SRE and security teams who need faster incident triage across cloud and application signals.
- Yes — Datadog provides a documented API surface for platform access and automation.
What does Datadog Bits AI do?
Datadog Bits AI turns telemetry, logs, and security signals into guided investigation and response workflows. It sits on top of Datadog's observability stack, using tools like Infrastructure Monitoring, Application Performance Monitoring, Log Management, and Cloud Security to connect symptoms across systems instead of forcing teams to jump between consoles. The result is a single operational layer for spotting issues, tracing causes, and coordinating action. Datadog says the platform spans millions of signals and supports thousands of real-world incidents, with responses that can move from detection to action in under four minutes and even under a minute in some workflows. Customers such as Porsche Informatik and Auth0 use Datadog across cloud and application environments, while the documented API supports platform access and automation. The product also includes mobile access, so teams can stay connected when they are away from their desks.
Why use Datadog Bits AI?
- It combines observability and security in one platform, reducing the handoff between monitoring and threat response.
- Its AI-assisted workflows are built around real incidents, helping teams move from detection to action quickly.
- The documented API lets teams automate platform access and operational workflows instead of relying only on the UI.
- Mobile access helps responders stay connected to incidents when they are away from their desks.
- Its broad product surface covers infrastructure, applications, logs, and cloud security without stitching together separate tools.
Who is Datadog Bits AI for?
- SRE teams who need to correlate infrastructure, application, and log signals during incidents.
- Security analysts who need to investigate threats and prioritize response from one platform.
- Platform engineers who want automation and API access across observability workflows.
- Application owners who need faster root-cause analysis for production issues.
- Operations leaders who want a shared system for monitoring, response, and governance.
What are Datadog Bits AI's key features?
Observability
Unifies metrics, logs, traces, and events across millions of signals so teams can spot issues faster and reduce downtime.
Security
Combines Cloud SIEM, workload protection, and compliance controls to help teams investigate threats and meet security requirements.
Digital Experience
Tracks browser and mobile user behavior with Real User Monitoring, Session Replay, and Synthetic Monitoring to find experience issues quickly.
Software Delivery
Connects CI Visibility, DORA Metrics, Feature Flags, and Code Coverage to show release health and catch delivery bottlenecks.
Service Management
Uses Incident Response, Case Management, Workflow Automation, and ServiceNow integrations to coordinate response and shorten time to resolution.
AI
Applies Bits AI SRE, Bits AI Agents, and Watchdog to detect and diagnose problems, with OpenAI and MCP Server support for automation.
Platform Capabilities
Provides API access, Access Control, Teams, Dashboards, Notebooks, and a Mobile App for managing monitoring and security work at scale.
Infrastructure Monitoring
Monitors cloud and container infrastructure across Amazon Web Services, Azure, Google Cloud, and OpenTelemetry to surface host and service issues.
What does Datadog Bits AI integrate with?
- Amazon Web Services
- Azure
- Google Cloud
- Oracle Cloud
- OpenAI
- Red Hat OpenShift
- SAP
- OpenTelemetry
- Slack
- Salesforce
- Google Calendar
- Stripe
- HubSpot
- Klaviyo
- Shopify
- Notion
- Zapier
- QuickBooks
- Calendly
- Ably
- Abnormal Security
- Active Directory
- ActiveMQ
- ActiveMQ XML
- Adaptive Shield
- Adobe Experience Manager
- Adyen
- Aerospike
- Aerospike Enterprise
- Agent Metrics
What are Datadog Bits AI's use cases?
SRE incident correlation
SRE teams who need to correlate infrastructure, application, and log signals during incidents use Datadog Bits AI to jump from alert to likely root cause faster. They lean on Observability and Infrastructure Monitoring to connect symptoms across services, then use Bits AI SRE to summarize what changed and what to check next.
Security triage from one platform
Security analysts who need to investigate threats and prioritize response from one platform use Datadog Bits AI to move from noisy alerts to a focused investigation. They combine Security with Cloud SIEM and Bits AI Security Analyst to surface the most relevant evidence and speed containment decisions.
Platform automation with APIs
Platform engineers who want automation and API access across observability workflows use Datadog Bits AI to wire monitoring tasks into repeatable operations. They rely on Platform Capabilities and API to script workflows, while AI helps generate faster answers and reduce manual handoffs.
Production root-cause analysis
Application owners who need faster root-cause analysis for production issues use Datadog Bits AI to trace errors back to the service or deployment that introduced them. With Application Performance Monitoring and Error Tracking, they can narrow down impact quickly and restore customer-facing features sooner.
How does Datadog Bits AI work?
- Connect your first data source in Observability, starting with Infrastructure Monitoring or Log Management, so Bits AI has live signals to analyze across services and environments.
- Enable AI and choose the workflow you need, such as Bits AI SRE or Bits AI Security Analyst, then let Datadog organize alerts, logs, and related context automatically.
- Add integrations from the platform, including Slack, Jira, ServiceNow, or GitHub, so teams can route findings into the tools they already use for response and follow-up.
- Use Dashboards, Notebooks, and Incident Response to review recommendations, document decisions, and coordinate next steps until the issue is resolved.
- Keep refining with Service Level Objectives, Governance Console, and API access so automation, reporting, and oversight improve as your monitoring program matures.
Frequently asked questions
What is Datadog Bits AI?
Datadog Bits AI is an AI layer for SRE and security teams that turns telemetry, logs, and security signals into guided investigation and response workflows. It sits on Datadog's observability stack with Observability, Security, Service Management, and AI features, and it is used by Porsche Informatik and Auth0. The platform also provides API access and mobile access for automation and incident work on the go.
What is Datadog Bits AI used for? Who is it for?
Datadog Bits AI is used for Observability, Security, and Digital Experience. It's built for SRE teams, Security analysts, and Platform engineers.
Does Datadog Bits AI have an API and what does it integrate with?
Datadog provides a documented API surface for platform access and automation. It integrates with Amazon Web Services, Azure, Google Cloud, Oracle Cloud, OpenAI, and 25 more.
Editor's read
Check whether your incident workflows depend on Datadog's broader observability stack, since Bits AI sits on top of Infrastructure Monitoring, APM, Log Management, and Cloud Security. Also verify that your automation plan accounts for the documented API surface and mobile access your responders will actually use.
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