AI APM Employee Architecture • Sub-Second Microservice Telemetry • Zero Per-Seat Fees

Hire a Ready-Made AI APM Employee — or build a custom one in minutes

Stop spending hours deciphering complex distributed trace waterfall charts and flame graphs. Deploy an autonomous AI Application Performance Monitoring Lead that oversees 8 specialized sub-agents to pinpoint database slow queries, profile memory leaks, diagnose API latency spikes, and sync Datadog/Dynatrace 24/7.

Book a Live Demo Start 14-Day Free Trial No Card Needed View Live Console ↓
No credit card required Live within 15 minutes SOC 2 & GDPR compliant Native CRM & App integrations Zero per-seat user tax
8 Sub-Agents
Performance engineering squad
<5 Secs
Bottleneck root-cause isolation
-40%
P99 tail latency reduction
Credit-Based
1,000 free credits • Plans from $20/mo
Live Interactive Console & Architecture

Primary AI Employee: Performance Engineering Director & APM Lead

Experience how an autonomous primary AI Employee orchestrates 8 specialized sub-agents to vet data, enforce business rules, and trigger human approval gates in real time.

Live Orchestration Console

Active APM Performance Console • Microservice Fleet Telemetry

Active Pipeline Mode Enterprise Stack Synced
APM
API Service Degradation • User Checkout Service • Microservice: /api/v2/checkout • P99 Latency: 3,420ms (Spike)
Root Cause: Unindexed N+1 SQL Query on Inventory Table • Impact: 240 req/sec
Performance Health: 97%
Trace Profiler:
Identified 84 sequential SQL queries in single call
Query Optimizer:
Generated proposed batch SQL with index
GitHub Sync:
Opened PR with index migration & notified Slack
Engineering Gate: Database index additions or cache invalidation scripts require Tech Lead sign-off.
Primary AI Employee: Performance Engineering Director & APM Lead

Autonomous Distributed Tracing & Latency Optimizer

Monitors microservice latency telemetry, coordinates 8 diagnostic sub-agents, isolates slow database queries and memory leaks, and alerts backend engineering leads.

Autonomous Orchestrator Active v2.4
Distributed Trace & Flame Graph Profiler
Flame Graph Analysis
Slow Query & N+1 Database Detective
N+1 Query Detection
Memory Leak & GC Pause Inspector
JVM & Node.js
API P99 Latency & Error Rate Sentry
P99 Percentile Tracking
OpenTelemetry & APM Stack Sync
OpenTelemetry Standard
Third-Party API & Webhook Monitor
Stripe / Twilio Monitoring
Frontend Web Vitals & Real-User Monitor
Core Web Vitals
Auto-Scaling & Resource Recommender
Kubernetes Pod Sizing
Rule Logic Preview P99 latency >1,000ms triggers automatic flame graph trace • Memory leak velocity alerts DevOps • N+1 queries auto-flagged
Customize Rules
Flexible Deployment Spectrum

Three Ways to Put AI to Work in Your Team

Whether you want an instant out-of-the-box employee, want to adapt existing business rules, or need a fully bespoke custom AI employee, RhinoAgents gives you complete flexibility.

Option 1 • Instant Deployment

Hire a Ready-Made APM Employee

Deploy an out-of-the-box AI APM Specialist equipped with all 8 sub-agents. Connects directly to Datadog, Dynatrace, New Relic, Grafana Tempo, and OpenTelemetry in minutes.

  • All 8 specialized application performance sub-agents included
  • Automatic flame graph analysis and N+1 query detection
  • Native connectors for Datadog, Dynatrace & OpenTelemetry
Hire Ready-Made Employee
Most Popular
Option 2 • No-Code Customization

Change Rules & Business Logic

Keep the ready-made employee architecture, but adapt the logic to your exact business operations. Adjust scoring thresholds, set custom knockout questions, alter tone, and define approval triggers.

  • Modify scoring rubrics & operational criteria
  • Set automated knockout filters for zero bad fits
  • Configure Slack human-in-the-loop review gates
Learn How to Edit Rules
Option 3 • Bespoke AI Employee

Create a Custom AI Employee

Build a custom AI APM employee configured for high-frequency trading latency, serverless cold-start optimization, or mobile app battery profiling.

  • Custom role identity, persona & voice
  • Select which specialized sub-agents work under it
  • Connect to proprietary databases & webhooks
Build Custom AI Employee
Bespoke Creation Wizard

How to Create Your Custom AI Employee in 4 Steps

Need a purpose-built AI employee tailored to your organization? Use our intuitive step-by-step studio to define identity, channels, orchestrated sub-agents, and task execution logic.

Step 1 • Identity Configuration

Define Role Name, Avatar & Persona

Name your AI employee, upload or select a brand avatar, define its job title, and establish its core personality traits. Configure whether it communicates with a consultative corporate tone, an energetic sales cadence, or a friendly customer care voice.

Role Name & Title: e.g., "Database & Query Performance Lead"
Persona Definition: Set brand voice guidelines, communication policies, and greeting formats.
Avatar & Bio: Establish internal and customer-facing profile visuals.
Step 1 Identity Studio
Autonomous Multi-Agent Workflow

How Sub-Agents Collaborate Under the AI Employee

Sub-agents do not operate as disconnected single-purpose bots. They operate as a synchronized squad orchestrated by the primary AI Employee, exchanging context and data in real time.

1

Signal & Intake

Inquiry or record is ingested from web chat, email, form submission, or webhook. Primary AI Employee verifies context and dispatches it to the Intake sub-agent.

Trigger: Signal Received
2

Enrichment & Vetting

Data is parsed against your custom rubrics. Sub-agents verify external databases, enrich missing parameters, and calculate objective qualification scores.

Logic: Custom Rubrics
3

Gate Evaluation

Scores meeting your auto-advance threshold proceed immediately. Borderline cases generate an executive summary card to a designated Slack channel for human 1-click review.

Security: Human-in-the-Loop
4

Action & 360° Sync

Sub-agents book calendar invites, trigger confirmation notifications, and write full audit logs into your CRM, ERP, and database systems automatically.

Output: Closed-Loop Execution
Modular Sub-Agent Squad

8 Ready-Made Sub-Agents at Your Service

Each sub-agent is an autonomous specialist. Use them together under the Primary AI Employee or configure individual rules, knockouts, and triggers for each.

Sub-Agent 01

Distributed Trace & Flame Graph Profiler

Analyzes complex distributed trace waterfalls, identifying slow spans and microservice network hops in milliseconds.

Trigger: Latency spike anomaly
Output: Bottleneck span isolation report
Flame Graph Analysis Distributed Tracing
Sub-Agent 02

Slow Query & N+1 Database Detective

Detects unindexed database tables, lock contention, and N+1 ORM query patterns across PostgreSQL, MySQL, and MongoDB.

Trigger: Query execution time >200ms
Output: Query optimization recommendation
N+1 Query Detection PostgreSQL & MySQL
Sub-Agent 03

Memory Leak & GC Pause Inspector

Monitors heap memory growth and garbage collection pauses in JVM, Node.js, and Python, alerting before out-of-memory crashes occur.

Trigger: Heap memory drift velocity
Output: Memory leak stack trace diagnostic
JVM & Node.js OOM Crash Prevention
Sub-Agent 04

API P99 Latency & Error Rate Sentry

Tracks P50, P95, and P99 latency percentiles alongside 5xx HTTP error rates, spotting regressions after new code deploys.

Trigger: P99 latency deviation
Output: Endpoint performance degradation alert
P99 Percentile Tracking 5xx Error Monitoring
Sub-Agent 05

OpenTelemetry & APM Stack Sync

Aggregates telemetry from Datadog, Dynatrace, New Relic, and Prometheus into a unified, vendor-agnostic performance dashboard.

Trigger: Continuous metric stream
Output: Synchronized APM telemetry view
OpenTelemetry Standard Datadog & Dynatrace
Sub-Agent 06

Third-Party API & Webhook Monitor

Monitors external SaaS dependencies (Stripe, Twilio, Sendgrid), detecting third-party latency spikes before they impact your app.

Trigger: External API latency surge
Output: Third-party vendor outage report
Stripe / Twilio Monitoring Vendor SLA Checks
Sub-Agent 07

Frontend Web Vitals & Real-User Monitor

Measures Core Web Vitals (LCP, FID, CLS) across real user browser sessions, identifying slow client-side rendering.

Trigger: Web Vitals regression
Output: Frontend performance audit
Core Web Vitals LCP / FID / CLS
Sub-Agent 08

Auto-Scaling & Resource Recommender

Analyzes CPU and memory utilization patterns, recommending optimal Kubernetes pod limits and auto-scaling rules to cut cloud bills.

Trigger: Resource utilization audit
Output: Right-sizing & scaling recommendation
Kubernetes Pod Sizing Cloud Cost Optimization
No-Code Rule Customization

How to Change Rules & Customize Logic

You never have to accept a rigid black-box AI. Every scoring weight, knockout condition, tone guideline, and approval gate can be altered in seconds using visual toggles or natural language.

1. Adjust Scoring Weights

Use visual percentage sliders to weight qualification rubrics (e.g. 40% Fit Criteria, 30% Budget/Timeline, 20% Tech Stack, 10% Profile Quality).

Core Fit:40%
Authority / Budget:30%

2. Set Mandatory Knockout Criteria

Add non-negotiable prerequisite rules. If an inquiry fails any knockout criteria, it is politely handled with an automated response without wasting your team's time.

Minimum budget threshold met
Corporate business email domain
Operating in serviceable geographic territory

3. Set Human Approval Thresholds

Define exact score brackets that trigger instant execution versus those requiring human team sign-off via Slack or email.

• Score ≥ 85: Auto-execute
• Score 70-84: Slack Team 1-Click Gate
• Score < 70: Polite automated routing
Natural Language Rule Modification

Or Simply Edit Rules in Plain English

Zero Code Required
// Type plain English prompt to change rules:
"P99 latency >1,000ms triggers automatic flame graph trace • Memory leak velocity alerts DevOps • N+1 queries auto-flagged"
RhinoAgents Logic Engine Compiles:
  • • Evaluates criteria ≥ 200 units → Rule Tag: TIER_1_VIP
  • • Trigger action → CALENDAR_SYNC_SENIOR_PANEL
  • • Webhook → SLACK_DISPATCH(#sales-leads)
Applied instantly across all 8 sub-agents Live Status: Active
Ideal Fit

Built for Modern Teams Across Every Scale

From agile high-velocity startups to established enterprise organizations, deploy an autonomous AI APM Employee tailored to your operational velocity.

Cloud-Native Teams

Cloud Engineering & DevOps Teams

Autonomous telemetry inspection, root-cause correlation, and auto-remediation runbooks across microservices.

Continuous Telemetry
Enterprise SREs

Site Reliability Organizations

Cut alert noise by 70%, correlate cross-service traces, and trigger instant PagerDuty escalations for genuine P0s.

70% Less Noise
SecOps & InfoSec

Security Operations Centers (SOC)

Block prompt injection attacks, neutralize credential leak attempts, and maintain continuous GDPR logs.

Active Threat Defense
Managed Service Providers

MSPs & IT Infrastructure Hosts

Provide 24/7 autonomous client monitoring, ticket classification, and automated node failovers.

24/7 SLA Guarantee
Proven Operational ROI

Measurable Advantages for Modern Organizations

Replacing administrative manual labor with an autonomous AI APM Employee delivers direct returns on execution speed, operational accuracy, and staffing overhead.

80% Faster Incident MTTD

Detect infrastructure anomalies, latency spikes, and security drifts in seconds across telemetry.

70% Less Alert Fatigue

Intelligent deduplication filters noise and only alerts your on-call engineers for genuine P0/P1s.

Instant Automated Runbooks

Executes pre-approved remediation scripts, spins down degraded nodes, and logs recovery steps.

Zero Prompt Injection Risks

Security sub-agents inspect inputs before LLMs process them, protecting proprietary company data.

8-Specialist SRE Squad

Telemetry monitoring, anomaly detection, root-cause triage, and post-mortem creation working as one.

Native DevOps Stack Sync

Full bidirectional connectivity with Langfuse, Datadog, PagerDuty, Slack, Jira, and GitHub.

Ecosystem Connectors

Native Integrations with Your Existing Stack

Connect your CRM, messaging channels, databases, and enterprise tools in seconds. The AI employee synchronizes updates automatically without changing your team's workflow.

Langfuse Datadog Prometheus Grafana OpenTelemetry AWS CloudWatch PagerDuty Jira Software GitHub Snyk Slack 400+ More Integrations →
Frequently Asked Questions

Got Questions? We Have Answers.

Everything you need to know about hiring, customizing, and scaling autonomous AI employees.

An AI APM Employee is an autonomous performance engineering specialist that monitors microservices, isolates latency bottlenecks, detects database N+1 queries, and recommends optimizations without manual log parsing.

We support native integrations with Datadog APM, Dynatrace, New Relic, Grafana Tempo, Prometheus, and any OpenTelemetry-compliant collector.

It inspects trace waterfalls to detect repetitive identical queries fired in sequence within a single HTTP request, suggesting batch queries or index migrations.

Yes. When P99 latency spikes or memory leaks are detected, it posts a diagnostic report directly into your designated Slack or Microsoft Teams engineering channels.

RhinoAgents operates on a transparent credit-based model with zero per-seat human fees. You start with 1,000 free execution credits on our Free Trial ($0). Monthly plans start at $20/month (Starter: 10,000 credits/mo), $49/month (Pro: 50,000 credits/mo), and $99/month (Business: 150,000 credits/mo). Credits are consumed based on task complexity (such as research, data processing, workflow orchestration, communication, or CRM/ERP syncing). Unlimited human team members can access and collaborate with the AI employee without paying user seat penalties.

RhinoAgents pays for 100% of the underlying AI model costs (LLM tokens for GPT-4o, Claude 3.5 Sonnet, Gemini, etc.) and cloud computing infrastructure—all covered directly by your monthly credit allotment. You never need to supply your own OpenAI or Anthropic API keys. The customer is only responsible for their own external third-party software subscriptions and tool accounts (such as your existing CRM, ATS, Twilio, WhatsApp Business API, ERP, or cloud accounts). RhinoAgents connects seamlessly via 1-click native integrations with zero markup.

Get Started in Minutes

Put Your Autonomous AI APM Employee to Work Today

Deploy in 15 minutes. Connect your CRM, email, and tools with 1-click connectors. Experience the power of an orchestrated AI team without adding headcount.

Book a Live Demo Start 14-Day Free Trial
No credit card required 15-Minute Quick Setup SOC 2 & GDPR Compliant No Per-Seat Human Fees