Servers
CPU, memory, filesystems, networking and system components provide visibility into current load and abnormal behavior.
A unified operational view of servers, virtualization, network infrastructure and services: metrics, checks, logs, security events and actionable alerts.
As the infrastructure grew, simple availability checks were no longer enough. Troubleshooting required visibility not only into whether a service had failed, but also into the state of hosts, virtualization, networking, storage and infrastructure services before and during an incident.
The observability platform brings heterogeneous signals into one operational view: metrics show trends, infrastructure checks capture state, logs provide context, and security telemetry adds another source of evidence during investigation.
The diagram is intentionally abstracted. It shows functional observability layers without exposing customer addressing, system names, internal endpoints or security details.
CPU, memory, filesystems, networking and system components provide visibility into current load and abnormal behavior.
Cluster, node and workload state complements host metrics and helps connect virtual-machine issues with the condition of the underlying platform.
Availability, interface state, network devices and connectivity checks help distinguish application failures from transport infrastructure problems.
Storage health, capacity and related indicators are monitored together with the compute platform rather than as an isolated infrastructure component.
Centralized log collection through Loki and rsyslog provides context for infrastructure events and makes it possible to search related messages without connecting to each server individually.
Security events are handled through a separate Wazuh plane. This keeps operational monitoring distinct from security telemetry while allowing both signal sources to support incident investigation.
Rules and thresholds are tuned so that an alert represents a condition requiring action rather than every short-lived deviation. This reduces alert fatigue and increases trust in the monitoring system.
Investigations combine multiple signal sources: current and historical metrics, infrastructure checks, logs and security events. Repeatable actions are documented and turned into operational procedures and runbooks.
Metrics, infrastructure checks, centralized logs, security events, visualization and alerting operate as one working model. Engineers receive not only a signal that something is wrong, but also the context needed to diagnose the issue and decide what to do next.
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