AI Datadog Assistant

One AI Assistant for
Every Datadog Workflow

SREs diagnose incident root causes in under 30 seconds. Engineering managers get morning reliability briefings. Developers query APM and logs in plain English. SecOps triages cloud threats — all by chat, 24/7.

SRE & DevOps Engineering Manager Software Engineer SecOps
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DD
AI Datadog Assistant
APM Traces • Log Forensics • SLO Briefings • Cost Control
Connected • Ingesting Telemetry Across 14 Services
Payment processing latency just jumped to 4,200ms in us-east-1. Trace Datadog APM and find the bottleneck.
DD
Root cause identified in 22 seconds:

• Bottleneck: Microservice payment-gateway downstream call to Stripe webhook timed out (3,800ms wait duration).
• Trace ID: 0af76519b6cd43dd across 6 services isolated.
• Recent Change: Correlated with GitHub commit e4a1f9b (v2.4.1 release deployed 14 mins ago). Missing retry timeout config.
• Action Proposed: Apply fallback circuit breaker in Datadog monitor and alert author in #eng-payments.
View APM Flame Graph View Commit Diff Mute False-Positive Alert
Audit our Datadog log ingestion. Why did our bill jump by $3,200 this month?
DD
Log bill analysis complete: Found recommendation-engine logging full JSON payloads at DEBUG level in prod (31M logs/day = $2,480/mo). Also identified /healthz probe generating 14M duplicate 200 OK logs/day. Created an exclusion filter draft: Estimated savings: $3,140/month (41% bill reduction).
Sub-30s Incident Root Cause Diagnosis Bi-Directional Datadog Read & Write API Morning Reliability & SLO Briefings at 8 AM 35%–50% Log Ingestion Bill Reduction Zero PII or Secret Leakage Guaranteed Sub-30s Incident Root Cause Diagnosis Bi-Directional Datadog Read & Write API Morning Reliability & SLO Briefings at 8 AM
Built for Your Role

What Does Your Role Need From Datadog?

Select your role to see exactly what your AI Datadog Assistant does for you — the prompts your team actually uses every day.

SRE & DevOps

Stop Query Firefighting. Sub-30s Root Cause in Slack.

During high-stress P1 incidents, engineers waste 30+ minutes jumping between Datadog dashboards, grepping logs, and tracing spans. Your AI Datadog Assistant correlates traces to code commits, isolates the breaking service, and delivers the fix in Slack instantly.

"Why did checkout-service p99 latency spike to 4,200ms in us-east-1?"
"Correlate APM traces with error logs for trace ID 0af76519b6cd43dd."
"Which synthetic monitors have fired false alarms more than 5 times this week?"
"Mute payment-gateway-cpu alert for 45 minutes while we deploy v2.4.1."
"Find all Kubernetes pods in production experiencing OOMKilled in the last 6 hours."
"Audit our Datadog log ingestion to find why our bill spiked by $3,500."
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AI Datadog Assistant
SRE & DevOps Mode
Find all Kubernetes pods in production experiencing OOMKilled in the last 6 hours.
DD
Datadog Kubelet audit complete — 3 pods affected:
• indexing-worker-7f98b (namespace: search) — OOMKilled 4x (exceeded 2.0Gi limit)
• analytics-collector-4d21a — OOMKilled 2x at 03:14 UTC
• Root cause: Unbounded Redis queue buffer during midnight sync.
• Recommendation: Bump limit to 3.5Gi and enable batch processing.
Engineering Manager

Morning Reliability Briefings, SLO Pacing & Cost Control.

Every morning at 8 AM, your AI Datadog Assistant delivers an executive reliability summary: error budgets burned, services violating SLOs, incident MTTR comparisons, and top cost drivers — without opening 10 browser tabs.

"Give me a morning system reliability briefing across all production services."
"How are our 3 core customer-facing SLOs pacing this month?"
"What was our incident MTTR and MTTA across teams last week?"
"Which microservice consumed the highest percentage of our Datadog APM quota?"
"Show me all production deployments in the last 24 hours and their error rate impact."
"Give me an executive summary of the P1 outage from Saturday night."
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AI Datadog Assistant
Engineering Manager Mode
How are our 3 core customer-facing SLOs pacing this month?
DD
SLO Status — Month-to-Date:
• Checkout API Availability: 99.94% (Target: 99.90%) — Healthy (42m budget left)
• Search API Latency p95 < 250ms: 99.12% (Target: 99.50%) — At Risk (Budget exhausted)
• Auth Login Success Rate: 99.98% (Target: 99.90%) — Healthy
Action needed: Search service memory degradation needs engineer allocation this sprint.
Software Engineer

Translate Plain English to Datadog Queries. Verify Deployments Instantly.

Stop memorizing complex Datadog query syntax like avg:trace.http.request.duration{env:prod} by {service}. Ask natural questions to isolate microservice bugs, check slow database queries, and verify PR deployments right from chat.

"Show me all 500 errors in user-auth service since the 2:15 PM deployment."
"Convert this to a Datadog query: 'errors from billing service excluding timeout errors'."
"Did our latest pull request PR #412 increase database query latency?"
"Find the slowest SQL queries captured by Datadog DBM in the last 24 hours."
"Is the recommendation-engine memory leak getting worse after the cache update?"
"Show me the distribution of HTTP status codes for our search API today."
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AI Datadog Assistant
Software Engineer Mode
Convert this to a Datadog query: 'errors from billing service excluding timeout errors'.
DD
Here is your optimized Datadog query:
service:billing status:error -@error.type:TimeoutError
Run this in Log Explorer or want me to execute it and return the last 10 occurrences with stack traces?
SecOps & Cloud Security

Cloud SIEM Signal Triage, IAM Privilege Audits & Threat Forensics.

Security teams drown in noisy security signals. Your AI Datadog Assistant automatically triages Datadog Cloud SIEM findings, detects unauthorized IAM privilege escalations, flags suspicious network flows, and drafts audit summaries in seconds.

"Triage the 4 high-severity Datadog Cloud SIEM signals triggered in the last hour."
"Show me all root user AWS logins or IAM privilege escalation events today."
"Did any Kubernetes pod initiate outbound connections to unlisted external IPs?"
"Which S3 buckets had public access block disabled or policies modified this week?"
"Correlate Datadog Audit Trail logs to find who changed production firewall rules."
"Generate a weekly security posture and compliance audit report."
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AI Datadog Assistant
SecOps Mode
Triage the 4 high-severity Datadog Cloud SIEM signals triggered in the last hour.
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SIEM Triage Complete — 1 Critical, 3 False Positives:
IAM role AssumeRole from unknown IP (54.82.11.9)Investigate
S3 GetObject surge — Scheduled ETL batch backupBenign
Security group modified — Terraform CI/CD deployBenign
Revoked session credentials for unknown IP and alerted on-call security engineer.
The Math is Simple

Engineers Lose $6,900/Month on Incident Triage & Query Syntax.
We Charge $99.

No setup fees. No agent re-installation. No long contracts. Just 1,000 AI credits at $99/month — and your engineering team cuts incident MTTR by 80% while slashing Datadog bill waste.

What Manual Troubleshooting Costs You
Senior DevOps / SRE engineer salary (avg)
$150,000/yr = $72/hr
Hours/week lost on incident triage & query syntax per engineer
6 hrs/week
Monthly cost of engineering troubleshooting time per engineer
$1,728/month
Monthly engineering waste for team of 4
$6,912/month
Plus $2,000–$5,000/mo in runaway Datadog log ingestion bills caused by unmonitored debug loops and spammy health check pings.
VS
RhinoAgents AI Datadog Assistant
$99 / month
1,000 AI credits included
Entire engineering team — all 4 roles
Sub-30s root cause answers by chat
Connect read-only API keys in 15 min
Log exclusion filters save 35%–50% on bills
You save every month
$6,813+
$6,912 cost of manual troubleshooting − $99 subscription
What's a Credit?

Credits = AI work. Not chat messages. Each task consumes credits based on telemetry complexity.

Translate question to Datadog query syntax
1 credit
Instant syntax formatting
Daily system reliability & SLO briefing
5 credits
Reads & summarizes 14+ services
APM trace-to-log incident root cause triage
8 credits
Multi-span trace correlation
Datadog log ingestion bill & filter audit
15 credits
High-volume noise detection
At $99/month with 1,000 credits, an engineering team runs dozens of incident investigations, daily briefings, and query conversions — eliminating manual observability firefighting all month long.
Quick Deployment

Your Whole Team Live in 15 Minutes.

Zero agent re-installation. Zero code changes. Secure read-only API authentication.

1
Connect Datadog API
Provide read-only API and Application keys. Works with US1, US3, US5, EU1, and AP1 Datadog regions.
Read-Only Keys
2
Configure SLOs & Rules
Set critical microservices, alert thresholds, and choose which roles (SRE, Manager, Dev, SecOps) are active.
Role Config
3
Connect Slack or Teams
Incident briefings, SLO alerts, and root cause answers arrive in the Slack channels or PagerDuty rooms your team already uses.
Notifications
4
Team Goes Live
SREs ask questions during incidents. Managers receive 8 AM health briefings. Developers query logs by chat.
All Roles Active
Under the Hood

Not a Dashboard Copilot. An Autonomous Observability Engineer.

Four core capabilities that operate Datadog — rather than just displaying raw metrics.

Bi-Directional API
Read Telemetry & Execute Safe Remediations
Reads metrics, distributed APM traces, live container logs, and Cloud SIEM signals. Can safely mute flapping alerts, apply log exclusion filters, and tag incidents with human authorization.
Full coverage: APM, Logs, Metrics, Synthetics, DBM
Safe downtime scheduling & alert suppression
Distributed Correlation
Connect APM Traces to Code Commits
When latency spikes, the assistant follows OpenTelemetry trace IDs across microservice boundaries, extracts stack traces at the exact millisecond of failure, and correlates with GitHub commits.
Trace-to-log correlation across containers
Automated git blame and PR correlation
Human-in-the-Loop
Approval Gates on Any State-Changing Action
Read queries, diagnoses, and morning briefings run autonomously. State changes like muting monitors longer than 1 hour or modifying log retention rules require 1-click engineer approval in Slack.
1-click Slack interactive approval cards
Full timestamped audit log of every action
Scheduled Reliability Jobs
Automations That Run Proactively 24/7
Managers get briefings at 8 AM. SREs get log bill audit sweeps on Mondays. Stale monitor cleanups run weekly. Scheduled jobs run continuously on cron schedules — zero manual triggering needed.
Daily SLO budget pacing and burn-rate alerts
Slack, Microsoft Teams, and email delivery
Full Capability Set

Everything Your AI Datadog Assistant Can Do

Across all four engineering roles — one platform, one Datadog connection.

Sub-30s Incident Root Cause
Correlates distributed traces, error spikes, and recent GitHub pull requests to isolate the exact line of failing code during production outages.
SREAPMIncident Response
Log Bill Ingestion Optimization
Identifies noisy debug loops, spammy health check probes, and duplicate logs. Generates tested exclusion filter rules to cut bills by 35%–50%.
DevOpsFinOpsCost Control
Natural Language Querying
Translates plain English questions into optimized Datadog query syntax for Metrics, Logs, and APM — returning direct answers and visualizations.
DevelopersLog ExplorerMetrics
Morning Reliability Briefings
Delivers a full system health report every morning at 8 AM: SLO burn rates, error budget status, latency anomalies, and deployment risks.
Engineering ManagerSLOMTTR
Alert Fatigue & Flap Detection
Identifies monitors that trigger false alarms frequently. Recommends dynamic threshold adjustments or mutes flapping alerts during maintenance.
DevOpsMonitorsPagerDuty
Cloud SIEM & Threat Forensics
Triages high-severity security signals, correlates anomalous IAM access events, flags unauthorized egress traffic, and drafts compliance summaries.
SecOpsCloud SIEMCompliance
Human-in-the-Loop

Engineers Stay in Control. Zero Unchecked Changes.

Investigative queries, error explanations, and reliability briefings are read-only and instantaneous. Remediations like muting monitors, applying log exclusion filters, or tagging incidents require 1-click confirmation in Slack.

  • Read-only telemetry access — query anytime, no approval needed
  • Alert muting during maintenance — 1-click engineer approval in Slack
  • Log exclusion filter application — requires DevOps lead sign-off
  • Full audit trail — all actions logged with engineer attribution
Datadog Action — SRE Approval Required
Log Ingestion Exclusion Filter — recommendation-engine
Proposed Filter:
• Query: service:recommendation-engine status:debug
• Target: Drop 100% of debug logs in production
• Volume affected: 31,000,000 logs/day
• Estimated savings: $2,480/month

Critical error and warning logs remain 100% indexed.
Connected Ecosystem

Datadog is the Core — Your Entire Stack Connected

Your AI Datadog Assistant pulls telemetry from Datadog and correlates context across your developer and incident toolchain.

Datadog (All Products) Slack GitHub AWS CloudWatch Kubernetes PagerDuty Microsoft Teams Jira Software Opsgenie Grafana 400+ via REST API
Enterprise Trust

Enterprise Security & Observability Data Governance

Telemetry data is redacted, isolated, and never used to train public LLM models.

Scoped Read-Only API Keys
Connects using scoped Datadog API and Application keys. Requires only read access to metrics, traces, and logs. Destructive operations are strictly prevented.
Real-Time PII & Secret Masking
Automatic regex-based redaction filters mask API keys, JWT tokens, passwords, credit card numbers, and PII before telemetry payloads are sent to inference.
Zero Model Training Policy
Your stack traces, service topologies, and metric values are never used to train public foundation models. All inference is ephemeral and tenant-isolated.
Got Questions?

Frequently Asked Questions

Is this the same as Datadog Bits AI?
No. Datadog Bits AI is an in-browser copilot embedded inside the Datadog web console that answers questions when you are logged in. RhinoAgents AI Datadog Assistant is an autonomous AI employee that works across Slack, Microsoft Teams, PagerDuty, GitHub, and AWS. It proactively investigates incidents, delivers daily reliability briefings at 8 AM, audits log ingestion bills, and opens pull requests without waiting to be prompted.
Can different engineering roles use the same AI assistant?
Yes. One deployment serves your entire engineering organization. SREs use it for sub-30s root cause analysis and alert triage. Engineering managers receive daily SLO briefings. Software developers query logs and check PR deployment impact. SecOps triages Cloud SIEM signals. Each role sees outputs relevant to their exact work.
Does it write back to Datadog or just read?
It reads telemetry (metrics, APM traces, logs, monitors, events) and can safely execute authorized actions — such as muting noisy monitors during deployments, applying log exclusion filters to stop bill spikes, tagging incidents, and creating downtime schedules with human approval.
How long does setup take?
Under 15 minutes. Provide read-only Datadog API and Application keys, connect your Slack or Teams workspace, and configure your alert thresholds. Your AI Datadog Assistant begins indexing service topology immediately with zero code changes or agent reinstalls.
Which Datadog products and features are supported?
Datadog APM & Distributed Tracing, Logs Management, Infrastructure Metrics, Synthetic Monitoring, Database Monitoring (DBM), Cloud SIEM & Security Signals, Network Performance Monitoring, and Serverless Monitoring across AWS, GCP, Azure, and on-premise Kubernetes clusters.
Your Whole Engineering Team. One AI Datadog Assistant.

Connect in 15 minutes. Sub-30s incident root cause. Daily reliability briefings. Plain English log queries. Cut Datadog bill waste by 35%–50% — all for $99/month.

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