Solutions · Cloud Monitoring

One graph.
Every cloud.
Every service.

Sound familiar? Your AWS alert fires. Then Azure. Then GCP. By the time your team correlates three dashboards, 45 minutes are gone and customers are still down.

Applicare puts AWS, Azure, and GCP into a single causal entity graph — so cross-cloud incidents surface as one root cause, not three separate tickets.

50+Cloud services per provider
<60sCross-cloud root cause
38%Avg cloud cost reduction
AWS
Azure
GCP
Cloud Resources
Dependencies
Applicare
Intelligence
Engine
AI Correlation → Root Cause
✓ Auto-Remediation
Live monitoring

Applicare’s causal graph found the root cause in minutes — across three cloud environments simultaneously. That’s something no alert dashboard has ever done for us.”

VP of Infrastructure EngineeringLeading International Airline
4.5 hrs
Avg MTTR before Applicare
11 min
Avg MTTR with Applicare — 96% faster
Cloud topology

One graph. Every dependency.

Applications, services, containers, and cloud resources — auto-discovered and connected in a single causal graph, updated continuously as your environment changes.

Applicare — Dependency Graph⬤ Live
checkout-api auth-svc inventory-svc payment-svc EKS cluster-a AKS cluster-b S3 Storage RDS Postgres Redis Cache
HealthyDegraded — root cause path
Multi-cloud health

See health across every cloud, in one view.

No more tab-switching between the AWS, Azure, and GCP consoles. One dashboard, continuously updated.

Applicare — Server Comparison⬤ Live
Applicare Server Comparison dashboard showing CPU, memory, TCP, and availability across servers
Health Score
98.4
across 3 providers
Open Incidents
1
payment-svc · degraded
Availability
99.98%
30-day rolling
Resources
1,240
auto-discovered
p95 Latency
312ms
↓ 4% vs last week
Cloud Spend
On budget
38% avg savings applied

Multi-cloud entity graph

One graph connects every cloud dependency

Most tools show you three separate dashboards. Applicare builds a single causal graph across AWS, Azure, and GCP — so when a GCP Pub/Sub backlog triggers AWS Lambda throttling, you see the chain immediately.

Auto-discovery across providers — EC2, AKS, GKE, Lambda, Cloud Run all mapped automatically within 60 seconds of onboarding.
Cross-provider dependency edges — Applicare traces calls across cloud boundaries, not just within them.
50+ AWS · 30+ Azure · 25+ GCP services in one unified entity model, updated continuously.
ArcIn AI surfaces the single root cause even when the incident spans all three providers — no manual correlation required.
Applicare — Synthetic User Experience
Applicare Synthetic User Experience dashboard showing execution results and response time trends
Applicare — SQL Analyzer
Applicare SQL Analyzer showing query performance and time distribution, supporting root cause analysis

AI root cause analysis

One alert. One root cause. Not thirty.

When an incident cascades across cloud boundaries, traditional tools flood you with alerts — one per service, per provider. ArcIn AI reads the causal graph and surfaces the single upstream cause.

Bayesian causal inference — IntelliSense traces anomalies back to the originating service, not just the loudest symptom.
Sub-60-second RCA — from first anomaly detection to root cause identification, automatically.
200+ remediation runbooks — IntelliTune auto-executes fixes for known failure patterns across all three cloud providers.
US Patent 11,782,739 — IntelliTrace distributed tracing connects code-level events to infrastructure events across cloud boundaries.
Root Cause
N+1 query in payment-svc OrderRepository
Impacted Services
payment-svc · checkout-api · RDS Postgres
Business Impact
Checkout latency +340ms · 2.3% conversion risk
Recommended Action
Apply .include(:items) eager-load fix
Confidence Score
94%
Time Saved
~40 minutes of manual correlation

Cross-cloud cost intelligence

Stop paying for cloud you’re not using

Applicare correlates your cloud spend with actual traffic and deploy events — so you can see exactly which workloads are over-provisioned and which reserved instances are going to waste.

Spend vs. traffic correlation — one view across AWS, Azure, and GCP reserved instances, committed use, and on-demand costs.
Deploy-correlated anomalies — spike in cost after a CodePipeline deploy? Applicare flags it in real time.
Right-sizing recommendations — specific, actionable suggestions for underutilized EC2s, VMs, and GCE instances.
Customers report an average 38% reduction in cloud spend within 90 days of deploying Applicare cost intelligence.
Applicare — Business Transactions
Applicare Business Transactions dashboard showing top transactions by count and response time
Applicare — Server Info
Applicare Server Info showing CPU, memory, and resource detail for a monitored server

Business transaction visibility

Know which transactions matter — and how they’re performing

Applicare auto-discovers every business transaction — API endpoint, page, and service call — across your cloud environment, with count and response-time breakdowns down to the percentile.

Auto-discovered transactions — every API endpoint, page, and service call tracked automatically, no manual instrumentation.
Percentile-level response time — see the full distribution per transaction, not just an average that hides the outliers.
Cross-cloud transaction correlation — follow a single business transaction across AWS, Azure, and GCP boundaries.
Key business transactions get their own alerting thresholds — so a slow /checkout pages the team before a slow internal health-check ever would.
Auto-remediation

From alert to resolved — automatically.

IntelliTune executes the fix for known failure patterns, with human approval where you want it in the loop.

1
Alert
2
AI Investigation
3
Root Cause
4
Recommended Runbook
5
Approval
6
Automation Executed
Incident Resolved
Cross-cloud correlation

Three clouds. Three alerts. One root cause.

AWS — Lambda throttling, us-east-1
Azure — AKS pod restarts, cluster-b
GCP — Pub/Sub backlog, checkout-topic
ArcIn AI — Root Cause
GCP Pub/Sub backlog → AWS Lambda throttling
One upstream cause, three symptoms. Correlated in <60 seconds — no manual triage across consoles.
Under the hood

Full-stack architecture.

From raw telemetry to the tools your team already uses — one continuous pipeline.

AWS
Azure
GCP
Telemetry Collection
Entity Graph
IntelliSense
IntelliTrace
Root Cause Analysis
ArcIn AI
IntelliTune — Automation
Delivered to your team
ServiceNow
Slack
Microsoft Teams
Jira
PagerDuty
Results

What changes when clouds stop fighting each other.

96%
Faster MTTR — 4.5 hrs → 11 min
38%
Avg. cloud cost reduction
80%
Fewer alert pages per incident
200+
Auto-remediation runbooks

Get started today

See Cloud Monitoring live on your environment

30 minutes. Read-only access. No prep required. We connect to your cloud accounts and show you what Applicare finds — live.

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