AI Agents for APM & Profiling | $20/mo

Eliminate Latency Bottlenecks & Optimize
Application Performance 10x Faster.

Deploy specialized AI Agents that continuously profile production code, pinpoint unindexed SQL queries, optimize memory allocations, and reduce p99 latency — orchestrated through chat. From $20/month. Live in 24 hours.

100 free test credits • Plans from $20/month • Live in 24 hours • SOC 2 Certified
Book a Free Demo Start Free — Plans from $20 →

Works with Datadog APM, New Relic, Dynatrace, and OpenTelemetry  ·  No credit card required  ·  Cancel anytime

The Cost of Inaction

Where Your Business Is Quietly Leaking Revenue.

Traditional teams struggle to handle peak volume, after-hours inquiries, and manual data entry. Here is what is costing you every month:

01
Finding Slow Microservice Spans Takes Hours
Engineers drown in flame graphs and distributed trace waterfalls trying to figure out which microservice in a 30-hop chain caused a 2-second delay.
02
Unoptimized N+1 Queries Clog Production Databases
Inefficient ORM code ships unnoticed to production, executing hundreds of repetitive database queries per web request and crippling DB performance.
03
High APM Ingestion Bills Drain Engineering Budgets
Commercial APM vendors charge tens of thousands of dollars per month for trace indexing, forcing teams to sample only 1% of transactions.
The AI Agent Solution

Specialized AI Agents That Never Sleep.
Orchestrated by One Main AI Agent.

Deploy a coordinated team of dedicated sub-agents that solve your revenue leaks, qualify buyers, and automate operations 24/7/365.

Sub-Second Response Across Channels
Answer 100% of incoming inquiries on Webchat, WhatsApp, SMS, and Slack in under 1.2 seconds — day or night.
Live System & CRM Sync
Every interaction, appointment, and qualification score is instantly committed to Datadog APM, New Relic, Dynatrace, and OpenTelemetry without manual human data entry.
Autonomous Execution & Approvals
Sub-agents handle 90% of routine workflows autonomously, while flagging high-value threshold tasks for 1-click Slack approvals.
Seamless Setup

Configure Your AI Agent in 4 Simple Steps.

No code. No engineering resources. Live and working with your stack in under 24 hours.

STEP 01
Connect APM & Distributed Traces
1-click OpenTelemetry integration with Datadog, New Relic, Dynatrace, and Jaeger.
STEP 02
Set Latency & Error Budgets
Define p95 and p99 latency targets, critical service dependency paths, and database query caps.
STEP 03
Activate Continuous Profiling
AI Agents monitor CPU, memory heap allocations, garbage collection pauses, and I/O bottlenecks.
STEP 04
Receive Code Optimization Pull Requests
AI Agents pinpoint the exact line of code causing delays and generate optimized pull requests.
Chat-Ops & Prompt-Driven Execution

Everything Done Through Chat.
No Complex Dashboards. No Clunky Menus.

Manage your entire operation directly through natural conversation. Whether in Slack, Teams, SMS, WhatsApp, or Webchat — just tell your AI Agent what to do.

1. Get Reports via Prompt
"Show me this week’s p99 latency across all services, top 3 slowest database queries, and error budget burn."
Report: Global p99 latency reduced from 620ms to 84ms, top slow query optimized, 99.98% SLO health.
2. Assign via Prompt
"Audit the user profile endpoint for N+1 database queries and suggest ORM pre-fetch optimizations."
Found 14 redundant SQL queries per request; generated Django prefetch_related PR reducing DB load 92%.
3. Schedule via Prompt
"Schedule synthetic load test simulating 50,000 concurrent users for tomorrow at 3 AM staging."
Configured distributed k6 load test run with automated latency profiling and bottleneck reporting.
4. Update Datadog APM & OpenTelemetry via Prompt
"Analyze trace spans with HTTP status 5xx and extract common downstream dependency failures."
Isolated 88% of 500 errors to an unhandled timeout in the third-party credit card validation API.
Webchat Widget
WhatsApp Business
SMS & Twilio
Slack Workspace
AI Voice Inbound
Live Interactive Customer Conversation Simulator
Active · Sub-1.2s Response
CU
PostgreSQL CPU is spiking at 85% due to slow queries on the orders table. Pinpoint and optimize.
AUTONOMOUS SLOW QUERY PROFILING & INDEX GENERATION
APM Trace Analysis: Located query SELECT * FROM orders WHERE customer_id = $1 AND status = $2
Executed EXPLAIN ANALYZE: Sequential scan over 14 million rows (4.2s runtime)
Generated concurrent composite index migration script
Query Optimized in 4 Seconds! Traced slow endpoint to an unindexed sequential scan on the orders table. Generated migration script: CREATE INDEX CONCURRENTLY idx_orders_customer_status ON orders(customer_id, status). Projected query runtime drop from 4,200ms to 2.4ms.
100%
Lead Coverage Across All Channels
< 1.2s
Average Response & Booking Time
$0
Extra Engineering or Setup Costs
Multiple Specialized AI Agents · One Main AI Agent

One Main AI Agent Handles All Reports.
Specialized AI Agents Do the Specific Work.

Leadership prompts the Main AI Agent for consolidated store reports, pipeline briefings, and approvals. Each department interacts with specialized sub-agents tailored to their workflow in Slack, Teams, or Webchat.

Performance Command
Consolidated Global Latency & Compute Efficiency
Prompt the Main AI Agent for p95/p99 latency percentiles, slow database queries, compute infrastructure costs, and Core Web Vitals.
P99 Latency SLA Protection
Ensures customer-facing response times remain strictly under 100ms globally.
Continuous CPU & Memory Profiling
Profiles flame graphs in production with less than 1% overhead to catch code bloat.
Compute Efficiency & FinOps
Reduces required server fleet size by optimizing inefficient algorithms and queries.
#apm-command
Main AI Agent · APM Mode
ARCH
Marcus Vance (Principal Architect)09:00 AM
What are our current p95 and p99 response times across our primary customer APIs?
Rhino Main AI Agent09:00 AM
Global Application Performance Summary:
• Global P50 Latency: 24ms.
• Global P95 Latency: 68ms.
• Global P99 Latency: 112ms (Down 48% WoW).
• Slowest Service: Billing Webhooks (Optimized index PR merged today).
• Infrastructure Compute Cost: Reduced by 18% through memory heap optimizations.
Distributed Tracing Specialist
Isolates Bottlenecks in 30-Hop Distributed Calls
Analyzes OpenTelemetry spans, identifying slow network hops, unhandled retries, and serialization overhead.
Trace Waterfall Decomposition
Breaks down complex request chains to highlight the single service causing latency.
Unhandled Retry Discovery
Detects retry storms and cascading timeouts before they bring down upstream services.
Release-to-Release Diffs
Compares latency distributions before and after every production code release.
#distributed-traces
Trace Agent
SPEC
Carlos Mendez (Backend Lead)11:30 AM
Why did the checkout service latency spike to 1.8 seconds for US-West users?
Trace Agent11:30 AM
Trace Waterfall Breakdown:
• 1.6s spent in cross-region network roundtrips between US-West API and US-East database.
• Microservice was making 8 sequential database calls instead of batching.
• Drafted patch to enable regional replica read-pooling and batched query execution.
Database Tuning Specialist
Eliminates Slow SQL, N+1 Queries & Table Locks
Continuously inspects database query plans, index efficiency, connection pool saturation, and deadlocks across PostgreSQL and MySQL.
EXPLAIN ANALYZE Decomposition
Translates complex query execution plans into plain-English optimization recommendations.
Automated Index Migrations
Generates safe, non-blocking concurrent index creation scripts.
Lock Contention Prevention
Flags long-running transactions that block write operations on critical tables.
#db-profiling
DB Profiler
SPEC
Carlos Mendez (Backend Lead)02:00 PM
Identify the top 3 most expensive database queries executed over the last 24 hours.
DB Profiler02:00 PM
Top 3 Database Bottlenecks Identified:
1. SELECT * FROM invoices (Full scan, 18.4% total DB time).
2. UPDATE inventory_items (Row-level lock contention during flash sales).
3. SELECT count(*) FROM audit_logs (Lacking covering index).
• Pull request with non-blocking migration scripts ready for review.
Front-End Performance Specialist
Optimizes Perceived Customer Experience Globally
Measures Core Web Vitals, JavaScript execution errors, asset download times, and CDN cache hit ratios across all browser devices.
Core Web Vitals Monitoring
Tracks LCP, FID, and CLS across diverse device types and network conditions.
Bundle Size & Script Auditing
Flags bloated npm packages that slow down first-page render on mobile devices.
CDN Cache Hit Optimization
Ensures static images and API responses are served directly from edge locations.
#rum-vitals
RUM Agent
SPEC
Elena Rostova (Frontend Lead)04:15 PM
Are mobile users in Europe experiencing slow page load times on our web app?
RUM Agent04:15 PM
RUM European Mobile Performance:
• Median LCP: 1.4 seconds (Fast) across 28,000 mobile sessions.
• JavaScript error rate: 0.01%.
• CDN cache hit ratio: 96.4%.
• Perceived speed scores in top 5% of modern enterprise web applications.
Enterprise Features

Everything You Need for Enterprise Automation.

Built for high-volume operations, strict compliance, and effortless multi-channel management.

P99 Latency SLA Enforcement
Ensure production API response times remain strictly under 100ms across all global endpoints.
Autonomous Slow SQL Optimization
Detect unindexed sequential scans and N+1 queries, generating concurrent index migrations.
Distributed Trace Waterfall Triage
Pinpoint the exact microservice causing delays across complex multi-service call chains.
Continuous Production Profiling
Identify CPU hogs, memory allocation churn, and GC pauses with less than 1% system overhead.
Real User Monitoring (RUM)
Track Core Web Vitals, JavaScript execution errors, and perceived page load speeds.
Full APM & OpenTelemetry Sync
Seamlessly connect Datadog APM, New Relic, Dynatrace, OpenTelemetry, and Jaeger.
Native Integrations

Connects to Your Entire Tech Stack.

RhinoAgents connects via secure REST APIs and webhooks in under 15 minutes.

Application Monitoring
Datadog APM
Continuous profiling, distributed trace waterfalls, and synthetic API testing.
Enterprise APM
New Relic & Dynatrace
Full-stack application metrics, service dependency mapping, and database transaction tracking.
Open-Source Tracing
OpenTelemetry & Jaeger
Vendor-neutral distributed trace collection, span correlation, and latency profiling.
Relational Databases
PostgreSQL & MySQL
Inspect query execution plans, connection pool limits, and table lock contention.
Source Code Control
GitHub & GitLab
Generate pull requests with database index migrations and performance patches.
Performance ChatOps
Slack & Teams
Real-time slow query alerts, p99 latency regression summaries, and 1-click optimization PRs.
Common Questions

Frequently Asked Questions.

Everything you need to know about pricing, setup, and multi-agent operations.

How does RhinoAgents identify slow database queries and N+1 issues?
By analyzing APM distributed traces and database execution logs, the AI detects sequential scans, missing indexes, and repetitive ORM queries, generating optimized SQL queries and non-blocking index migrations.
Does continuous production profiling add latency or overhead?
No. RhinoAgents utilizes modern low-overhead kernel and runtime sampling techniques (eBPF and native VM profilers) that consume less than 1% CPU and memory overhead in production.
Can it pinpoint which microservice is slowing down a request?
Yes! It decomposes distributed trace waterfalls across OpenTelemetry or Datadog spans, isolating the exact service, database call, or third-party API responsible for the latency spike.
Can the AI open pull requests with performance fixes?
Yes! The AI can draft GitHub pull requests containing composite index migrations, ORM pre-fetch statements, or caching logic for your engineering team to review and merge in 1 click.
What does the $20/mo plan include for APM operations?
The $20/mo plan includes unlimited specialized sub-agents, full APM and OpenTelemetry integrations, 100 free test credits, slow query analysis, and RUM monitoring with zero setup fees.
Is our application source code and telemetry data kept secure?
Yes. We are SOC 2 Type II certified and adhere to strict zero data retention. Your proprietary code, execution traces, and database schemas are strictly confidential and never used to train public models.
"RhinoAgents pinpointed an N+1 query issue in our checkout service that was causing 3-second delays. It generated a non-blocking PostgreSQL index migration that cut our p99 latency to 42ms."
Nathaniel Brooks
Director of Core Platform · CloudScale Systems
AI Agents for APM & Profiling

Connect. Configure. Get Work Done.
Plans from $20/mo.

Your AI Agent connects to Datadog APM, New Relic, Dynatrace, and OpenTelemetry in minutes — then works 24/7 qualifying leads, booking meetings, and updating your systems. Live in 24 hours.

Book a Platform Demo Start Free — Plans from $20 →
100 free test credits • No credit card required • Cancel anytime • Live in 24 hours
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