How do I monitor servers, containers, and Kubernetes in one place?

To monitor servers, containers, and Kubernetes in one place, you generally want an observability platform that centralizes:

• Metrics: CPU, memory, disk, network, pod/container usage
• Logs: application, system, and container logs
• Traces: request flows across services
• Alerts: thresholds, anomalies, SLOs
• Dashboards: unified views across infrastructure and apps

Common approaches

1) Use a full observability platform

Good if you want the least operational overhead.

Examples:

• Datadog
• Dynatrace
• New Relic
• Grafana Cloud
• Splunk Observability
• Elastic Observability

These typically support:

• Linux/Windows servers
• Docker and container runtimes
• Kubernetes clusters, nodes, pods, and workloads
• Unified dashboards and alerting

2) Build a unified open-source stack

Good if you want flexibility and lower license cost.

A common setup:

• Prometheus for metrics
• Grafana for dashboards
• Loki for logs
• Tempo or Jaeger for tracing
• Alertmanager for alerts
• Node Exporter for server metrics
• cAdvisor / kubelet metrics for containers
• kube-state-metrics for Kubernetes object state
• OpenTelemetry Collector for collecting metrics/logs/traces from apps

This gives you one place to see:

• server health
• container performance
• Kubernetes cluster status
• application behavior

Recommended architecture

A practical setup looks like this:

1. Install an agent/collector on servers

   • Example: Prometheus node exporter, Datadog agent, or OpenTelemetry Collector

2. Deploy Kubernetes monitoring

   • Prometheus with kube-prometheus-stack, or vendor Kubernetes integration
   • Collect node, pod, deployment, and cluster metrics

3. Ship logs centrally

   • Fluent Bit / Fluentd / Vector / OpenTelemetry Collector
   • Send logs to Loki, Elasticsearch, Datadog, etc.

4. Add tracing

   • Instrument apps with OpenTelemetry
   • Export to Tempo, Jaeger, or a vendor backend

5. Create unified dashboards and alerts

   • Cluster overview
   • Host overview
   • Service-level dashboards
   • Error-rate/latency alerts

Best “one place” options by use case

• Easiest enterprise option: Datadog or Dynatrace
• Best open-source option: Grafana + Prometheus + Loki + Tempo
• Best if you already use Elastic: Elastic Observability
• Best if you want strong APM + infra: New Relic or Datadog

What to look for

Make sure the platform supports:

• host monitoring
• container runtime/Kubernetes monitoring
• centralized logs
• tracing/APM
• alerting and notification integrations
• RBAC and multi-team access
• cloud/on-prem support
• cost control for high-cardinality metrics and log volume

Simple recommendation

If you want a fast answer:

• For minimal setup: Datadog
• For open-source control: Grafana + Prometheus + Loki + Tempo
• For app-centric observability: New Relic or Dynatrace

If you want, I can also give you:

1. a recommended stack by budget, or
2. a step-by-step setup for Grafana/Prometheus on Kubernetes.