Bits Investigation
AI agent · Workflow / back-office agent · IT & helpdesk by Datadog
Reduce time to incident resolution with autonomous AI investigations.
Bits Investigation is an AI-powered autonomous agent within the Datadog platform designed to accelerate incident response for SRE and DevOps teams. It automatically investigates alerts by correlating telemetry across infrastructure, applications, and logs to identify root causes and summarize business impact. The agent is powered by Scout 1.0, Datadog's specialized AI model, which is optimized for investigating production issues. Beyond analysis, Bits Investigation can apply remediations autonomously to resolve issues, helping organizations reduce their mean time to resolution (MTTR). It integ
Agent specs
- What it does
- Bits Investigation is an AI agent that automates the investigation of alerts by correlating telemetry to identify root causes and apply remediations.
- For
- IT operations and SRE teams responsible for incident response and resolution.
- Actions
- Investigate alerts automatically, Correlate telemetry data, Identify root causes of issues, Apply remediations to issues
- Integrations
- APM, Infrastructure Monitoring
- Models
- Scout 1.0
- Per autonomous investigation
- ~4 credits
- AI Credits bundle
- $500 per 500 credits per month
- On-demand
- $1.30 per credit
- Availability
- Generally available (except on US-FED site) via AI Credits.
- Languages
- English
Category: AI Agents
- Channels
- Datadog Platform, Slack
- Integrations
- Datadog Tracer, Datadog SDK, Slack, Jira, PagerDuty
- Models
- Scout 1.0
- Deployment
- Cloud (Datadog Platform)
- Credit Consumption
- ~4 credits per investigation
- Core Model
- Scout 1.0
- Automatically investigates alerts and correlates telemetry
- Identifies root causes and summarizes business impact
- Applies remediations autonomously to reduce MTTR
- Consumes ~4 AI credits per autonomous investigation
Overview
Bits Investigation is an AI-powered autonomous agent within the Datadog platform designed to accelerate incident response for SRE and DevOps teams. It automatically investigates alerts by correlating telemetry across infrastructure, applications, and logs to identify root causes and summarize business impact. The agent is powered by Scout 1.0, Datadog's specialized AI model, which is optimized for investigating production issues. Beyond analysis, Bits Investigation can apply remediations autonomously to resolve issues, helping organizations reduce their mean time to resolution (MTTR). It integrates directly with the Datadog Tracer and SDK, allowing teams to follow a single trace from agent reasoning to end-user experience.
Incident Investigation and Response
- Automated Investigations: The agent automatically investigates alerts by correlating telemetry across the entire technology stack to identify root causes.
- Impact Summarization: It summarizes the business impact of an incident to help teams prioritize their response.
- Autonomous Remediation: The agent can apply remediations autonomously to resolve identified production issues.
- End-to-End Tracing: It connects agent reasoning with service activity and customer impact to find the root cause of failures.
Performance Monitoring and Debugging
- Failure Pinpointing: The agent identifies bottlenecks and failures with full execution context across prompts and tool calls.
- Usage Tracking: It monitors token usage, latency, and errors at every step of the agent's decision-making process.
- Production Debugging: Teams can trace every agent step in production to compare configurations and debug failures without switching tools.
What it does
- Investigate alerts\nCorrelate telemetry\nIdentify root causes\nSummarize impact\nApply remediations
Use cases
- SRE teams use Bits Investigation to automatically correlate telemetry and find the root cause of production alerts.
- DevOps engineers deploy the agent to autonomously apply remediations and resolve incidents without manual intervention.
- Incident responders use the agent's impact summaries to quickly understand the business consequences of a system failure.
Specifications
- Channels
- Datadog Platform, Slack
- Integrations
- Datadog Tracer, Datadog SDK, Slack, Jira, PagerDuty
- Data sources
- Metrics, Logs, Traces, Service Dependencies, Infrastructure Signals
- Human control
- Teams can investigate the same request from service activity to agent reasoning to customer impact; remediations can be applied autonomously.
- Models
- Scout 1.0
- Deployment
- Cloud (Datadog Platform)
- Credit Consumption
- ~4 credits per investigation
- Core Model
- Scout 1.0
- Integration Method
- Datadog Tracer / SDK
- Primary Function
- Root Cause Analysis & Remediation
How it works
- Account Setup: The agent is part of the Datadog AI suite and requires an active Datadog account with AI Credits enabled.
- Instrumentation: Users instrument their applications using the Datadog Tracer or SDK to provide the agent with necessary telemetry data.
- Autonomous Investigation: When an alert is triggered, Bits Investigation automatically begins correlating metrics, logs, and traces to find the root cause.
- Remediation and Resolution: The agent provides a summary of its findings and can execute remediation steps to resolve the incident.
Pricing
- AI Credits Bundle (500 credits)
- $500 per month (billed annually)
- On-Demand AI Credit
- $1.30 per credit
FAQ
How many credits does an investigation use?
Bits Investigation consumes approximately 4 credits per autonomous investigation.
Added by AntSpace from public sources (datadoghq.com).