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One graph.
Every cloud. Every service.

You monitor AWS, Azure, and GCP in a single causal entity graph — so cross-cloud incidents that span multiple providers show as one root cause, not three separate alerts.

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50+
Cloud services monitored per provider
<60s
Cross-cloud root cause
38%
Avg cloud cost reduction
How it works

Cloud Monitoring.

☁️
Multi-cloud entity graph
AWS, Azure, and GCP workloads in one causal graph. An incident in a GCP Pub/Sub queue correlated with an AWS Lambda that consumes from it — one root cause.
One graph, every cloud
💸
Cross-cloud cost intelligence
Spend correlated with traffic and deploys across all providers. Committed use, reserved instances, and waste — one view.
📋
Compliance across clouds
NIST, FedRAMP, CMMC monitored continuously across all cloud providers simultaneously.
🚀
Deploy intelligence
Every cloud deploy — CodePipeline, Azure DevOps, Cloud Build — correlated with downstream performance.
Applicare — Cloud Monitoring⬤ Live
AWS Services
50+
All regions · monitored
Azure Services
30+
All regions · monitored
GCP Services
25+
All regions · monitored
Cross-cloud
Active
Dependency graph live
🧠 ArcIn: Cross-cloud incident: GCP Pub/Sub backlog correlated with AWS Lambda throttling correlated with Azure SQL connection exhaustion. One root cause — shared session token misconfiguration.
What’s covered

Full Cloud Monitoring coverage.

☁️
AWS Monitoring
EC2, Lambda, RDS, EKS, S3, and 40+ AWS services in the entity graph.
🔷
Azure Monitoring
VMs, AKS, SQL, App Service, Functions, and 30+ Azure services.
🌎
GCP Monitoring
GCE, GKE, BigQuery, Cloud SQL, Pub/Sub, and 25+ GCP services.
💸
Cloud Cost Intelligence
Spend anomalies correlated with traffic and deploys across all providers.
📋
Multi-Cloud Compliance
NIST, FedRAMP, CMMC monitored across all clouds simultaneously.
🔗
Cross-Cloud Topology
Cross-provider dependencies auto-discovered and mapped.
See Cloud Monitoring live on your environment.
30 minutes. Read-only access. No prep required.
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