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GCP monitoring beyond
Cloud Operations.

Cloud Operations gives you data. Applicare gives you causality — correlating GCE, GKE, BigQuery, Cloud SQL, Pub/Sub, and Cloud Functions into one entity graph.

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25+
GCP services monitored
<60s
Root cause identification
38%
Avg GCP cost reduction
How it works

Google Cloud Monitoring — deeper than native tools.

🔗
Cross-service causal graph
GCE, GKE, BigQuery, Cloud SQL, Pub/Sub, Cloud Run — one entity graph. Root cause traces from frontend symptom to backend change.
⎈
GKE Workload Intelligence
Pod health, node auto-provisioning, deployment regression detection correlated with app performance.
📊
GCP Cost Intelligence
Committed use and sustained use savings. Rightsizing backed by actual workload patterns.
🔗
Multi-cloud correlation
GCP workloads correlated with AWS and Azure dependencies.
Applicare — Google Cloud Monitoring⬤ Live
GKE Nodes
All healthy
prod-cluster · 12 nodes
BigQuery Slots
94%
analytics · near limit
Cloud SQL
Normal
postgres-prod · healthy
Pub/Sub Backlog
+340k
orders-topic · growing
🧠 ArcIn: Pub/Sub backlog correlated with Cloud SQL connection exhaustion — deploy #4821 missing pool config. IntelliTune: pool size 20→80.
Capabilities

What Google Cloud Monitoring covers.

🖥️
GCE & Managed Groups
VM health, autoscaling events, live migration impacts.
⎈
GKE & Anthos
Kubernetes workload health, binary authorisation, workload identity anomalies.
📊
BigQuery & Data
Query performance, slot utilisation, cost-per-query attribution.
⚡
Cloud Run & Functions
Cold starts, concurrency limits, downstream impact.
📋
Cloud Operations
Native Cloud Logging and Monitoring with causal enrichment.
📱
Firebase & Mobile
Backend health correlated with mobile app performance.
See Google Cloud Monitoring live on your environment.
30 minutes. Read-only access. No prep required.
Book a demo →