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AIOps · Synthetic Monitoring

See problems
before users do.

AI-powered synthetic monitoring that predicts failures, correlates signals across metrics, logs & traces, and automatically resolves issues before they ever impact your customers.

Applicare — Live Operations⬤ LIVE
Global Availability99.98%
Browser Journeys7/8 OK
Login flow1.2s
Search → PDP0.9s
Checkout3.4s
Account1.1s
API Response (p95)healthy
/login
210ms
/search
340ms
/cart
980ms
/pay
280ms
Latency Heatmap24h
A+
SLA score
30-day rolling
🧠
ArcIn AI — anomaly on /cart p95 ↑ 980ms, correlated to Redis eviction spike after deploy v4.2.1. Auto-remediation queued: scale cache tier.
Architecture

One pipeline — from signal to self-healing.

Synthetic tests and live telemetry flow into ArcIn AI, which correlates, finds root cause, and triggers automated remediation — closing the loop without a human in the path.

👥 Users
Real traffic & simulated journeys
🖥️ Synthetic Browser Tests
Scripted clicks, checkout, login
🔌 API Monitoring
REST & GraphQL, status & latency
🌐 Global Probe Network
100+ locations, 24/7
📊 Metrics · Logs · Traces
Unified, OpenTelemetry-native
🧠 ArcIn AI
Correlation & anomaly detection
🎯 Root Cause Analysis
Pinpoints the exact component
🛠️ Auto-Remediation
Restart · rollback · scale
💚 Self-Healing Applications
Resolved before customer impact
How it works

From simulated click to self-healing — in five steps.

🖱️
Simulate journeys
Browser clicks, checkout flows, logins & APIs
📈
Detect anomalies
AI flags latency spikes & failures
🔗
Correlate signals
Metrics + logs + traces + deployments
🎯
Root cause
AI identifies the exact component
🛠️
Auto-remediate
Restart pod · rollback · scale service
Request waterfall

Exactly where the time goes.

Every synthetic transaction is broken down hop-by-hop, so a slow step stands out instantly — here, the checkout service is the bottleneck.

User
40ms
CDN
60ms
Frontend
80ms
API Gateway
70ms
Checkout Service
640ms
Database
90ms
Dependency graph

See the blast radius in real time.

ArcIn maps your live service topology. When something degrades, the impacted path lights up red — instantly showing what's affected and why.

🌐Web App 🔌API 📦Inventory 💳Payment 🧱Redis 🐘PostgreSQL degraded path
Global probe network

Tested from where your users are.

Synthetic checks run continuously from probes worldwide, so you see real regional performance — not an average that hides outages.

US · 28ms Europe · 35ms India · 74ms Singapore · 52ms Australia · 68ms
The difference

From hours of war room to seconds of self-healing.

⚠️ Traditional monitoring
2–4 hours
DetectEscalateWar roomRCAFix
✅ Applicare + ArcIn
< 60 seconds
DetectArcIn AIAuto-remediation
How it compares

Applicare vs. the alternatives.

The same outcomes, three very different ways to get there. Here's how a unified AIOps platform stacks up against traditional monitoring and a do-it-yourself stack.

Capability
ApplicareRecommended
Traditional monitoring
DIY / in-house stack
Problem detection
Proactive — synthetic + AI
Reactive, after impact
~Partial, manual
Root cause analysis
AI causal correlation
Manual war room
~Scripts & tribal knowledge
Remediation
Automated self-healing
Fully manual
~Custom scripts to maintain
Telemetry
Unified, OTel-native
~Siloed point tools
~Glue code to maintain
Alert noise
Dynamic baselines
Static thresholds
High, hand-tuned
Mean time to resolve
< 60 seconds
2–4 hours
Hours+
Vendor lock-in
None — OpenTelemetry
~Often proprietary agents
None (you own it all)
Time to value
Hours
~Weeks
Months
Ongoing maintenance
Fully managed
~Per-tool operations
High, never-ending
Customer outcomes

Results from production environments.

Retail · E-Commerce
ChallengeIntermittent checkout failures were quietly costing revenue at peak.
SolutionSynthetic transaction monitoring + ArcIn AI auto-remediation.
87%faster incident resolution
99.98%uptime
65%fewer critical incidents
Banking · Financial
ChallengeAPI latency spikes during trading hours risked SLAs.
SolutionContinuous API monitoring with AI correlation & rollback.
8 minMTTR (down from 2 hrs)
99.99%SLA achieved
Zerocustomer-facing outages
Technology · SaaS
ChallengeSlow login & onboarding flows drove support load.
SolutionMulti-step browser journeys + anomaly-based alerting.
72%fewer support tickets
92%less alert noise
↑ UXhigher experience scores
The ROI

What changes after Applicare.

Toggle to see the before-and-after across the metrics that drive cost and reliability.

MTTR
180 min
Availability
99.5%
Alerts / day
200
Self-healing
0%
AIOps that acts

See problems before users do — and fix them before they ask.

Start a free trial or book a demo. We'll stand up synthetic journeys and ArcIn auto-remediation against your real stack in under an hour.

  • 100+ global probes
  • OpenTelemetry-native
  • AI root cause
  • Self-healing