Adrian - AI Datadog Observability Assistant
Available for Hire DevOps & SRE Telemetry & Alert Correlation

Adrian

AI Datadog Observability 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.

⚙️ 99.9% SRE Uptime · Instant Diagnostics
99.9% System Uptime
Instant Incident Triage
Adrian
Adrian — AI Datadog Observability Assistant
Connected • Active
Payment processing latency just jumped to 4,200ms in us-east-1. Trace Datadog APM and find the bottleneck.
Adrian
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?
Adrian
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
Autonomous Capabilities

9 Major Capabilities of Your AI Datadog Observability Assistant

Everything your organization needs to eliminate repetitive manual bottlenecks, enforce operational compliance, and accelerate team velocity 24/7.

Risk Prevention

Real-Time Risk Scoring & Anomaly Alerts

Monitors ongoing operations, flagging anomalous deviations, policy breaches, and emerging roadblocks before they escalate.

Proactive Detection Audit Guardrails Zero Blindspots
24/7 Execution

Autonomous Job Scheduling & Continuous Cadence

Executes scheduled recurring runs at optimal enterprise cadences, ensuring continuous coverage without human intervention.

Cron Schedules Zero Drift 24/7 Uptime
Ecosystem Sync

Cross-Platform Ecosystem & API Orchestration

Integrates natively across your enterprise stack with bi-directional webhooks, scoped OAuth 2.0 permissions, and real-time syncing.

400+ Connectors Bi-Directional Enterprise APIs
Risk Prevention

Real-Time Risk Scoring & Anomaly Alerts

Monitors ongoing operations, flagging anomalous deviations, policy breaches, and emerging roadblocks before they escalate.

Proactive Detection Audit Guardrails Zero Blindspots
24/7 Execution

Autonomous Job Scheduling & Continuous Cadence

Executes scheduled recurring runs at optimal enterprise cadences, ensuring continuous coverage without human intervention.

Cron Schedules Zero Drift 24/7 Uptime
Ecosystem Sync

Cross-Platform Ecosystem & API Orchestration

Integrates natively across your enterprise stack with bi-directional webhooks, scoped OAuth 2.0 permissions, and real-time syncing.

400+ Connectors Bi-Directional Enterprise APIs
Risk Prevention

Real-Time Risk Scoring & Anomaly Alerts

Monitors ongoing operations, flagging anomalous deviations, policy breaches, and emerging roadblocks before they escalate.

Proactive Detection Audit Guardrails Zero Blindspots
24/7 Execution

Autonomous Job Scheduling & Continuous Cadence

Executes scheduled recurring runs at optimal enterprise cadences, ensuring continuous coverage without human intervention.

Cron Schedules Zero Drift 24/7 Uptime
Ecosystem Sync

Cross-Platform Ecosystem & API Orchestration

Integrates natively across your enterprise stack with bi-directional webhooks, scoped OAuth 2.0 permissions, and real-time syncing.

400+ Connectors Bi-Directional Enterprise APIs
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."
DD
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."
DD
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."
DD
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."
DD
AI Datadog Assistant
SecOps Mode
Triage the 4 high-severity Datadog Cloud SIEM signals triggered in the last hour.
DD
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.
Custom AI Employee Studio · 10-Step Builder

Need a Custom AI Datadog Assistant?
Build & Tailor in 10 Steps

Want custom Datadog monitors, APM traces, and telemetry alert routing workflows, proprietary playbooks, bespoke integrations, or specialized business rules? Follow these 10 steps to design, customize, test, and deploy a custom AI Datadog Assistant tailored precisely to your company's operational motion.

1
Identity
2
Roles
3
Skills
4
Tasks
5
Schedules
6
Workflows
7
Memory
8
HITL
9
Testing
10
Deploy
1
Name & Identity
Give your AI employee a name, department, and operating persona
Start by giving your AI Datadog Assistant an identity. This is how your team will interact with it across Slack, Microsoft Teams, email threads, and the executive dashboard. Define its department and configure its communication style for peer-to-peer enterprise execution.
Pro tip: Give it a recognizable name like "AI Datadog Assistant" so team members can mention it in Slack channels just like any other colleague.
Create AI Employee — Identity
DA
Online · Ready to configure
2
Roles & Responsibilities
Define what your AI Datadog Assistant is accountable for
Establish clear ownership for your AI Datadog Assistant. Each role maps to a verified set of capabilities, platform connectors, and execution policies. Your AI employee operates with direct accountability — managing end-to-end tasks without requiring human hand-holding.
Pro tip: Start with core departmental responsibilities and expand anytime. Your AI employee learns your company SOPs and coordinates complex workflows continuously.
Assign Roles — AI Datadog Assistant
Sub-30s Incident Root Cause
Sub-30s Incident Root Cause
Log Bill Ingestion Optimization
Log Bill Ingestion Optimization
Natural Language Querying
Natural Language Querying
Morning Reliability Briefings
Morning Reliability Briefings
3
Skills Configuration
Select and configure modular capabilities and tool connectors
Enable modular skills tailored for your operational requirements. Each skill connects to verified enterprise software integrations via secure OAuth2 or API tokens. Toggle skills on or off in one click with zero engineering dependencies.
Pro tip: Every skill comes pre-trained on industry best practices and enforces strict data validation before executing writes to production systems.
Skills Catalog — AI Datadog Assistant
Sub-30s Incident Root Cause
Bi-Directional APIDistributed Correlation
Log Bill Ingestion Optimization
Human-in-the-LoopSRE
Natural Language Querying
APMIncident Response
Morning Reliability Briefings
DevOpsFinOps
4
Tasks Assignment
Define daily operational deliverables and priority tiers
Specify the daily task backlog your AI Datadog Assistant will execute. Tasks can run on autonomous schedules or trigger in real-time when team members send requests via chat. Critical items take priority to prevent operational delays.
Pro tip: Set high-impact triage and alert tasks to Critical priority. This guarantees sub-minute reaction times whenever issues or high-priority requests arrive.
Task Backlog — AI Datadog Assistant
1
Execute sub-30s incident root cause audit & status verification
Critical
2
Execute log bill ingestion optimization audit & status verification
High
3
Execute natural language querying audit & status verification
High
4
Execute morning reliability briefings audit & status verification
Medium
5
Execute alert fatigue & flap detection audit & status verification
Medium
5
Schedules & Cron Jobs
Set recurring cron times for autonomous execution
Configure exactly when each recurring process runs using RhinoAgents' enterprise job scheduler. Define cadences in plain English — morning audits, hourly scans, and weekly executive digests. Your AI employee operates around the clock without downtime.
Pro tip: Schedule morning scans prior to office hours. Your team starts each day with resolved requests, updated records, and clean summary briefings waiting in Slack.
Schedule Engine — AI Datadog Assistant
07:00 AM
Morning operational audit & pending queue scan
Daily
Every 15m
Real-time event ingest, triage & autonomous resolution
Active
01:00 PM
Midday velocity check & SLA milestone verification
Daily
05:30 PM
End-of-day execution recap & exception digest to Slack
Daily
Fri 04:00 PM
Weekly executive analytics & productivity briefing
Weekly
6
Workflows & Automation
Construct visual end-to-end execution pipelines
Build end-to-end automated pipelines connecting triggers, intelligence nodes, decision logic, and tool actions. When events occur, the entire execution flow fires autonomously with built-in rollback protection and complete status logging.
Pro tip: Add conditional branch logic to handle edge cases. High-confidence routine paths run instantly, while high-value actions pause for quick team sign-off.
Visual Workflow — AI Datadog Assistant
Event Trigger (Bi-Directional API)
Context & Policy Evaluation
Validation Check
Autonomous Action (Distributed Correlation)
HITL Approval (if > threshold)
Verified & Logged to Audit Trail
7
Memory & Knowledge Base
Upload company SOPs, manuals, rubrics, and guidelines
Equip your AI Datadog Assistant with private institutional memory. Upload company handbooks, playbooks, rubrics, API specifications, and style guides. RhinoAgents' vector RAG engine securely indexes these documents to ensure every output strictly adheres to your internal standards.
Pro tip: Upload real past examples of high-performing work. Your AI employee extracts formatting nuances, terminology, and tone directly from your best files.
Knowledge Base — AI Datadog Assistant
AI Datadog Assistant Standard Operating Procedures.pdf
Indexed · 48 pages
Indexed
Enterprise Compliance & Quality Rubric.docx
Indexed · 24 rules
Indexed
Historical Benchmark & Best Practice Dataset.xlsx
Indexed · 1,420 rows
Indexed
System Integration & Schema Reference.json
Indexed · 12 endpoints
Indexed
8
Human-in-the-Loop Rules
Configure 1-click approvals for sensitive operations
Maintain rigorous oversight without bottlenecking daily throughput. Define which actions execute autonomously and which require 1-click sign-off from designated team leads in Slack or Microsoft Teams. Full speed where safe, 100% control where critical.
Pro tip: Approvals are delivered as interactive Slack cards. Review context, diffs, and estimated impact, then click Approve or Reject in one second directly from your phone.
HITL Safety Gates — AI Datadog Assistant
Sensitive State Transitions or High-Value Actions
Requires 1-click team lead approval in Slack before write commit
Approval Required
Routine Data Extraction, Reconciliation & Ingest
Runs autonomously with full cryptographic audit logging
Auto-Run
Out-of-Policy Exceptions or Unmatched Records
Quarantined immediately with incident card dispatched to designated lead
Approval Required
Daily Telemetry & Digest Dispatches
Published to private department channels automatically on schedule
Auto-Run
9
AI Evaluation & Testing
Validate accuracy and test edge cases before deployment
Test your AI Datadog Assistant against real-world sample prompts, messy data inputs, and edge-case scenarios before granting production write access. Verify that guardrails hold, integrations authenticate, and outputs meet your quality bar.
Pro tip: Run synthetic test conversations across three different difficulty tiers to calibrate accuracy scores and ensure bulletproof reliability.
Test Results — AI Datadog Assistant
99.2%
Domain Accuracy & Adherence Benchmark
Evaluated against 5,000+ synthetic and historical enterprise prompts
Pass
< 1.8s
End-to-End Processing Latency
Average turnaround time per event ingest and execution cycle
Pass
99.98%
Integration Reliability & Uptime
Continuous automated health checks with auto-retry logic
Pass
Workflow Logic & Gate Verification
All trigger → action → decision → output branches validated
Pass
Multi-Channel Delivery Test
Slack, Teams, Email, and Webhook dispatch latency sub-1.5s
Pass
10
Deploy & Run Your AI Datadog Assistant
Go live in under 24 hours — full telemetry for $20/mo
Your AI Datadog Assistant is fully configured and ready to join your team. One-click deploy connects it to your live workspaces. Team members can chat with it immediately, while managers track execution via real-time dashboards and audit logs.
Pro tip: Review telemetry and completed actions at the end of day one. Teams typically report Reclaims 25+ hours/week per operator within the first week of deployment.
AI Datadog Assistant — Live Console
Deploy AI Datadog Assistant
Agent Status
Online · Running 24/7
Operational Output
100% operational uptime · Zero-defect execution
Business Impact
Reclaims 25+ hours/week per operator
Audit Log
Complete immutable trail active
Verified Customer Stories

Rated 4.9/5 by High-Growth Organizations

See how leading enterprise teams eliminate manual bottlenecks, enforce compliance, and accelerate output 24/7 with their AI AI Datadog Observability Assistant.

2x Strategic Velocity

"Having Adrian run our weekly operations cadence and monitor departmental deliverables has completely eliminated cross-functional silos. Our strategic execution speed has doubled."

15+ Hrs Saved / Wk

"Board decks, investor updates, and weekly executive briefings that used to take days of manual data aggregation are now ready in minutes. Adrian connects all our tools into one unified executive brain."

Zero Missed Deadlines

"The autonomous scheduling and proactive risk-flagging that Adrian provides ensures zero deliverables fall through the cracks. It has become an indispensable member of our leadership team."

Datadog APM & Observability Fit

Engineered for 24/7 Datadog Observability & Incident Detection

From tuning alert monitors to reduce alert fatigue to analyzing APM trace bottlenecks and logging anomalies — maintain pristine system visibility 24/7.

Lean Tech • 5–20 Services

Startups & Emerging Engineering Squads

Stop waking engineers up for false alarms. Prune noisy Datadog alert monitors, set intelligent anomaly thresholds, and create clean executive service health dashboards.

Ideal For
Early B2B SaaS Startups, High-Traffic Apps, Specialty Software Consultancies
65% Drop in Noisy Pager Alerts • Instant Service Dashboards
Microservices • 50–500 Services

High-Growth Microservice Architectures

Trace slow database queries via APM flame graphs, correlate error spikes across distributed services, and automate root-cause summaries directly into Slack incident channels.

Ideal For
FinTech Scale-Ups, Omnichannel E-Commerce, High-Throughput API Platforms
70% Faster Incident MTTR • Automated Root-Cause Summaries
Enterprise • 1,000+ Hosts & Nodes

Enterprise SRE & Global Infrastructure Ops

Audit Datadog custom metric ingestion costs to prevent bill shock, enforce tagging governance across multi-cloud environments, and maintain strict SLA/SLO error budgets.

Ideal For
Global Financial Platforms, Enterprise SaaS Conglomerates, Telecom Providers
Zero Datadog Ingestion Bill Surprises • 100% SLO Visibility
Deployed Across High-Throughput Systems
Payment Gateways & FinTech Multi-Tenant B2B SaaS High-Volume E-Commerce Clinical Healthcare Apps Video Streaming & CDN Networks Cloud Gaming & VR Infrastructure Automotive & Telematics Platforms Smart Grid & Energy Tech
Simple, Transparent Pricing

Start Free. Scale as You Grow.

Transparent pricing with zero per-seat user taxes. Choose the tier that matches your current momentum and deploy your autonomous workforce in minutes.

Free Trial
Experience your first autonomous agent live in production.
$0 / 14 days
  • 1 Autonomous AI Agent Role
  • 1,000 Free Action Credits
  • Core Web & Document Tools
  • Community & Knowledge Base
  • No Credit Card Required
Start Free 14-Day Trial
Starter
Ideal for solo operators, local businesses, and small teams.
$20 / month
  • Up to 3 AI Employee Roles
  • 10,000 Monthly Action Credits
  • Full Knowledge Base (RAG) Sync
  • Calendar, Email & CRM Sync
  • Unlimited Human Teammates
Deploy Starter Agent
Business
For mid-market and enterprise teams commanding custom governance.
$99 / month
  • 10+ Autonomous AI Roles
  • 150,000+ Monthly Credits
  • 400+ Enterprise Connectors
  • SOC 2 Type II & HIPAA Ready
  • Custom VPC & Private Deployments
  • Dedicated SLA & Solution Engineer
Launch Business Tier
14-Day Risk-Free Trial Zero Per-Seat User Taxes Cancel Anytime in 1 Click SOC 2 Type II & HIPAA Ready Live Production in <10 Mins
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.
Who is this AI Datadog Assistant built for?
This AI employee is built for organizations across 3 primary tiers: (1) Startups & Emerging Engineering Squads (Early B2B SaaS Startups, High-Traffic Apps, Specialty Software Consultancies) — Stop waking engineers up for false alarms. Prune noisy Datadog alert monitors, set intelligent anomaly thresholds, and create clean executive service health dashboards.; (2) High-Growth Microservice Architectures (FinTech Scale-Ups, Omnichannel E-Commerce, High-Throughput API Platforms) — Trace slow database queries via APM flame graphs, correlate error spikes across distributed services, and automate root-cause summaries directly into Slack incident channels.; and (3) Enterprise SRE & Global Infrastructure Ops (Global Financial Platforms, Enterprise SaaS Conglomerates, Telecom Providers) — Audit Datadog custom metric ingestion costs to prevent bill shock, enforce tagging governance across multi-cloud environments, and maintain strict SLA/SLO error budgets.. Key supported industries include Payment Gateways & FinTech, Multi-Tenant B2B SaaS, High-Volume E-Commerce, Clinical Healthcare Apps, Video Streaming & CDN Networks, Cloud Gaming & VR Infrastructure, Automotive & Telematics Platforms, Smart Grid & Energy Tech.
How much does AI Datadog Assistant cost?
RhinoAgents offers transparent pricing with no per-seat human fees: Free Trial ($0 for 14 days, 1 AI employee, 1,000 credits), Starter ($20/month for up to 3 AI employees, 10,000 credits), Pro ($49/month for up to 5 AI employees, 50,000 credits with persistent memory & Human-in-the-Loop), Business ($99/month for up to 10 AI employees, 150,000 credits with 400+ connectors), and Custom Enterprise plans ($1,000+/month) with dedicated VPC or on-premise deployment. Unlimited human team members can collaborate with the AI employee without paying extra user seat fees.
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 $20/month.