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One causal entity graph. Four AI engines. Built for enterprise engineering teams who need answers, not dashboards.

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Applicare enables teams to observe, automate, and resolve incidents faster across every stack.

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Featured Case Studies
AeroMexico
Digital ticketing · MTTR 4.5h → 11min
Leading Private Bank
MTTR 3.2h → 18min · first month
Mediclinic
Audit prep 11 weeks → 18 days
NTT DATA
80% on-call page reduction
Danube Group
94% SLO compliance
ONP
0 violations at last audit
Seygen
78% downtime reduction · GxP compliance
Insurance Tech Platform
67% P1 reduction · $2.4M saved
IIS & Server Availability
100% SLA report accuracy
Health Check Offering
4.2x ROI · 48hr delivery
Bank of Muscat
99.95% core banking uptime
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VMware Monitoring & Observability

VMware monitoring beyond infrastructure.

Monitor vCenter, ESXi hosts, clusters, virtual machines, storage, applications, databases, and business services from one connected observability platform.

vSpherevCenterESXi vSANNSXHybrid Cloud
The gap

VMware alerts tell you something is wrong. Not why. Applicare does.

VMware monitoring shows CPU, memory, storage, and host alarms — real signals, but only infrastructure symptoms. The actual root cause of a slow checkout or a failed transaction often lives one or two layers up or down: in the application code, a database query, an API dependency, a storage tier, or the network path between them. Applicare connects every layer into one picture.

Traditional VMware Monitoring
  • VM CPU
  • Memory
  • Storage
  • Host health
  • Alarms
Applicare
  • Complete dependency mapping
  • Business transaction visibility
  • AI-assisted root cause analysis
  • Cross-layer correlation
  • Operational impact analysis
  • Guided remediation
Comprehensive VMware coverage

Every layer of your vSphere estate.

From vCenter down to individual datastores — full-depth visibility, not a subset.

vCenter Monitoring

Full visibility into vCenter Server health, inventory, and events.

MetricsService health, task queue, event log, license usage
DashboardsvCenter Overview

ESXi Host Monitoring

Per-host CPU, memory, network, and storage performance.

MetricsCPU ready, memory ballooning, host uptime, NIC throughput
DashboardsHost Health

Virtual Machine Monitoring

Guest-level performance for every VM in the environment.

MetricsCPU/memory usage, disk latency, network I/O, VM events
DashboardsVM Health

Cluster Monitoring

Aggregate health and balance across compute clusters.

MetricsCluster utilization, DRS score, failover capacity
DashboardsCluster Overview

Datastore Monitoring

Capacity and health for every datastore backing your VMs.

MetricsFree space, provisioned vs. used, datastore latency
DashboardsStorage Health

Storage Performance

IOPS, throughput, and latency across the storage path.

MetricsRead/write IOPS, latency percentiles, queue depth
DashboardsStorage Health

Network Performance

vSwitch, port group, and NIC-level traffic visibility.

MetricsThroughput, packet drops, latency, NIC teaming health
DashboardsPerformance Trends

Resource Pools

Allocation and contention across shared resource pools.

MetricsCPU/memory shares, reservation vs. usage, contention
DashboardsCapacity Forecast

Snapshots

Snapshot age, size, and performance impact tracking.

MetricsSnapshot count, age, size on disk, consolidation status
DashboardsVM Health

vMotion Events

Live migration tracking correlated with performance impact.

MetricsMigration duration, source/target host, post-migration latency
DashboardsLive Dependency Map

High Availability

HA cluster readiness and failover event tracking.

MetricsFailover capacity, heartbeat status, restart events
DashboardsCluster Overview

Distributed Resource Scheduler

DRS recommendations and load-balancing effectiveness.

MetricsDRS score, migration recommendations, imbalance events
DashboardsCluster Overview

Capacity Planning

Forward-looking forecasts for compute, memory, and storage.

MetricsGrowth trend, time-to-exhaustion, right-sizing opportunities
DashboardsCapacity Forecast

Infrastructure Health

A single health score spanning the entire vSphere estate.

MetricsComposite health score, open alarms, degraded components
DashboardsEnvironment Health

Performance Analytics

High-resolution metrics across every layer, collected on a continuous polling cadence.

MetricsFrequent-interval collection, cross-layer correlation, trend analysis
DashboardsPerformance Trends
How it connects

One dependency map, automatically built.

Applicare discovers and maps every dependency automatically — hover any layer to see how it connects.

Business Users2,140 active sessions
ApplicationsCheckout, Search, Cart
Microservices18 services traced
ContainersKubernetes & standalone
Virtual Machinesweb-vm-07, api-vm-12
ESXi Hostsesx-prod-04
Storagedatastore-03, vSAN
NetworkvSwitch0, NSX segment
CloudAWS us-east-1
Databaseorders-db (Postgres)
🔍 Hover any layer to trace its live dependencies
AI-driven detection

Introducing Applicare IntelliSense™.

IntelliSense learns the normal behavior of every VM, host, and cluster — and flags what actually matters, without hand-written thresholds.

Behavioral anomaly detection

Learns normal patterns per VM and host to catch real deviations.

Pattern recognition

Recognizes recurring performance signatures across the estate.

Predictive analysis

Forecasts capacity and performance issues before they hit.

Noise reduction

Suppresses expected fluctuations that aren’t real problems.

Alert correlation

Groups related alerts across VM, host, and storage into one signal.

Risk prioritization

Ranks issues by business impact, not just severity label.

Adaptive baselines

Baselines shift automatically as usage patterns evolve.

Configurable thresholds with defaults

Ships with tuned defaults you can adjust per environment — full control, no guesswork.

Root cause analysis

From symptom to root cause, automatically.

A real incident pattern — Applicare correlates every layer into one incident, not five separate alerts.

14:02:10
Checkout becomes slow
p95 response time crosses 800ms, customer-facing impact begins.
14:01:55
VM CPU increases
web-vm-07 CPU ready time climbs above baseline.
14:01:40
Database latency rises
orders-db query latency increases across checkout-related queries.
14:01:20
Storage latency appears
datastore-03 read latency spikes on the same host.
14:00:58
Recent VM migration detected
web-vm-07 vMotion’d to esx-prod-04 90 seconds earlier — identified as root cause.
Evidence panel
Business impactCheckout ↓ 34% conv.
Affected VMweb-vm-07
Target hostesx-prod-04
Suggested fixvMotion to esx-prod-02
96%
Confidence score
Conversational AI

Ask ArcIn. Get the answer.

Talk to your data with ArcIn
Why is Checkout slow?
Checkout latency is caused by a storage contention event on datastore-03, triggered by a vMotion of web-vm-07 to esx-prod-04 90 seconds prior.
Confidence 96%5 events correlated
Which ESXi host is overloaded?
esx-prod-04 — CPU ready time is 3.2× baseline and rising. 2 other VMs on this host show early signs of contention.
Which VM affects Payment Service?
Payment Service depends on payment-vm-03 and orders-db. Both are currently healthy — no impact expected from the current incident.
Talk to your data… Send
Dashboards

Purpose-built views for every audience.

Environment Health

Cluster Overview

VM Health

Host Health

Storage Health

Capacity Forecast

Top Resource Consumers

Application Impact

Critical Incidents

Business Service Health

Performance Trends

Live Dependency Map

Automated response

From root cause to resolved, automatically.

Applicare can trigger the next action directly — with approval gates on anything sensitive.

1Restart service
2Open ServiceNow ticket
3Collect diagnostics
4Run health verification
5Notify owner
6Scale infrastructure
7Execute approved remediation
8Verify & close incident
14:03:02Approval requested — vMotion web-vm-07 → esx-prod-02
14:03:19Approved by on-call engineer (J. Alvarez)
14:03:24Executed — vMotion completed in 11s
14:04:10Verified — checkout latency returned to baseline
Beyond VMware

One view across your hybrid estate.

VMware rarely runs alone. Applicare connects it with everything around it.

AWS
Azure
Google Cloud
Kubernetes
OpenShift
Databases
Mainframe
Physical Servers
Applications
APIs
Users
Network

Applicare

One unified operational view spanning VMware and everything connected to it.

Representative scenario

What this looks like in production.

Checkout slowdown during peak shopping hours

Challenge: Checkout became slow during a peak shopping event. VMware alarms showed elevated host CPU, but gave no indication of the customer-facing impact or the true source. How Applicare helped: Applicare correlated VMware resource contention, storage latency, and database slowdown into a single incident — identifying a recent vMotion as the trigger and recommending the fix automatically.

75%
Faster root cause analysis
90%
Fewer investigation steps
99.99%
Application availability
↓↓↓
Significantly lower MTTR
Why Applicare

VMware monitoring vs. Applicare.

VMware MonitoringApplicare
×Infrastructure onlyInfrastructure plus applications
×Individual metricsAI-powered correlation
×Manual investigationDependency mapping
×Separate dashboardsBusiness impact analysis
×Reactive troubleshootingConversational AI
×Guided remediation & automation
×Hybrid cloud visibility
Enterprise-grade security Built for hybrid & multi-cloud Built for demanding enterprise environments Broad integration ecosystem
FAQ

VMware monitoring questions, answered.

Does Applicare replace VMware’s native monitoring?
Applicare ingests vCenter, ESXi, and vSAN metrics directly and extends them with application, database, and business-transaction context — giving you a deeper view than native tools alone, in the same platform you use for everything else.
How does Applicare connect VMware to application performance?
Applicare maps VMs to the applications and services running on them, then traces business transactions through the application layer down to the exact VM, host, and datastore involved — so infrastructure and application data live in one causal graph.
Can Applicare detect issues caused by vMotion or DRS activity?
Yes. vMotion events and DRS actions are tracked as first-class events and automatically correlated with any performance change that follows — exactly as shown in the root cause analysis example above.
Does this work with vSAN and third-party storage?
Yes. Applicare monitors vSAN natively and also ingests metrics from third-party SAN and NAS storage, so datastore performance is visible regardless of the underlying storage platform.
Can Applicare monitor VMware alongside AWS, Azure, and Kubernetes?
Yes. VMware, public cloud, and container platforms are monitored in the same platform and the same entity graph — so a dependency that spans a VM and a cloud-hosted service is visible as one path, not two separate tools.
Is remediation automatic or does it require approval?
Both are supported. You choose which actions run automatically and which require human approval — every action, automatic or approved, is captured in the audit trail.
Go deeper

Related resources.

See your VMware environment as one connected system.

Move beyond infrastructure monitoring with AI-powered observability, dependency mapping, and root cause analysis.