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Infrastructure Monitoring

Monitor every host and cluster in one place

Hosts, VMs, Kubernetes, Prometheus, vCenter, and cloud, all in one view, automatically once the agent is installed. Build your own dashboards whenever you need a deeper or more specific cut.

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Clusters, nodes, and workloads — KloudMate infrastructure KloudMate · Infrastructure Infrastructure · Overview Clusters, nodes, and workloads Nodes 148 Restarting 6 Saturated 2 Resource CPU Mem Status checkout-cluster node pressure · last 15m 82% 71% warning inventory-workers OOM-kill spike 91% 88% critical payments-db steady, near limit 64% 74% healthy edge-gateway network + LB metrics 38% 42% healthy Related service frontend-proxy P99 · latency rose right after node pressure surfaced

A spiking CPU graph doesn't tell you who's affected.

KloudMate keeps infrastructure health wired to the rest of your telemetry, so a saturated node or restarting pod arrives with the traces, logs, and affected services already attached.

What teams can do with Infrastructure Monitoring

Monitor the systems your applications run on, then pivot into the evidence that explains impact instead of stopping at raw capacity graphs.

Monitor the common infrastructure layers

Track hosts, virtual machines, Kubernetes, Prometheus exporters, vCenter environments, and cloud resources from one platform.

Surface saturation and workload regressions

Spot CPU, memory, restart, and capacity pressure before it becomes a slow request or noisy outage across downstream services.

Connect infra signals to application evidence

Use linked traces, logs, dashboards, and alerts to understand whether a node issue is isolated noise or a customer-facing problem.

Turn exploration into dashboards and alerts

Start in Explore for ad hoc analysis, then promote the signals worth watching into dashboards and alerts.

Know when infrastructure is affecting applications

The useful workflow is not just 'watch nodes.' It is 'see the node, understand the workload, and confirm impact on the application path.'

01

Collect and compare infrastructure health

Bring in server, cluster, and cloud metrics, then compare environments or workloads over the same time range.

02

Find the saturated resource

Identify the node, pod, or service component that is restarting, filling memory, or falling behind on requests.

03

Pivot into service telemetry

Move into traces, logs, or service dashboards to see whether the infrastructure symptom changed latency or error behavior.

04

Alert and hand off with context

Route the issue with the affected workload, related service, and recent evidence already attached.

Your fleet, host by host — KloudMate infrastructure KloudMate · Infrastructure Infrastructure · Hosts Your fleet, host by host Search hosts OS: linux Last 15m Host CPU Mem Status ip-10-2-14-9 checkout-api Linux 38% 52% healthy ip-10-2-31-7 inventory-workers Linux 91% 88% saturated win-billing-03 billing-jobs Windows 47% 55% healthy gke-node-a4f2 checkout-cluster K8s 76% 81% watch

Monitor hosts, Kubernetes, and cloud resources in one surface

Infrastructure monitoring should not force teams to pick between host metrics, cluster views, or cloud integrations. KloudMate supports the common ingestion paths and keeps them close enough to compare in one workflow.

  • Track hosts and virtual machines alongside Kubernetes clusters and workloads
  • Use Prometheus, vCenter, AWS, and Azure integrations where those are already part of your estate
  • Open Explore for ad hoc analysis, then move important views into dashboards and alerts
From node saturation to user impact — KloudMate correlation Correlation path From node saturation to user impact 01 Resource spike
CPU climbs on inventory nodes
 02 Workload symptom
pods restart, queue depth grows
 03 App impact
checkout requests slow down
 04 Response
routed with workload context
 Linked trace frontend-proxy → inventory P99 latency up 1.8s Linked logs OOM + restart events same window as the regression

Correlate infra symptoms with the services they affect

The value of infrastructure monitoring increases when a responder can move from a restart storm or resource spike into the trace, log, or alert context that proves user impact.

  • Follow a node or workload anomaly into the affected application flow
  • Keep alert and incident context attached before investigation starts
  • Give platform teams and service owners a shared evidence trail instead of isolated screenshots
KloudMate AI

Use KloudMate Assistant to summarize infrastructure impact

Assistant can help platform and service teams turn raw infrastructure symptoms into a clear summary of what changed, which workload is affected, and which service path to check next.

  • Summarize Explain which host, cluster, or workload changed first
  • Correlate Connect infra symptoms to related traces, logs, and alerts
  • Guide Point responders toward the next workload, service, or dashboard to inspect
Explore platform
Why are checkout requests slower? — KloudMate Auto-RCA Assistant summary Why are checkout requests slower? Q
Explain whether this is an application issue or a workload saturation issue.
 Assistant · likely cause
  • Inventory pods began restarting before checkout latency increased.
  • The dominant symptom is node pressure on the checkout cluster, not a new application error pattern.
  • Open the linked traces for inventory calls and compare restart events with the deployment window.
 First change Inventory pods restarted 8 restarts in 15 minutes Affected flow checkout → inventory P99 latency regression Suggested next view Trace Explorer + node events same time range already applied

Related Features

Keep the rest of the workflow close by so teams can move between detection, investigation, and response without losing context.

APM & Distributed Tracing

Trace requests across services, inspect dependencies, and move from latency symptoms to request-level evidence.

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Alerting

Build precise rules, route alerts by label, group related firings into one, and attach a likely cause automatically.

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Incident Management

Coordinate response, ownership, escalation, and telemetry context in one incident workflow.

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Log Management

Search, filter, inspect, and stream logs with trace and incident context attached.

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From telemetry to root cause,
in one platform.

Connect your OpenTelemetry pipeline, AWS integrations, or eBPF agent. Distributed tracing, log management, alerting, and AI-assisted investigation: unified, with predictable pricing.

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