Overview
Auditing infrastructure for cost, ownership, or accountability shouldn’t rely on spreadsheets or guesswork. Finding Kubernetes resources, filtering by tag name, or mapping usage to teams is a cataloging problem. There is no one dashboard built to solve this problem. Also, with rising costs tied to metric volume, inefficiencies add up fast. This is where the Infrastructure Explorer comes in.
Infrastructure Explorer offers a live, searchable inventory directly from cloud and Kubernetes sources. It shows real-time context: tags, relationships, versions, and ownership — no manual mapping required. Built for clarity, not just charts, it replaces dashboards when you need to find, filter, and investigate what’s running and what matters.
Note
Learn how Infrastructure Explorer differs from traditional dashboards in resource discovery, troubleshooting, and real-time infrastructure auditing.
A unified view of your infrastructure
The Infrastructure Explorer provides a unified view of your infrastructure across Kubernetes and cloud environments. It surfaces context-rich metadata for each resource including clusters, nodes, pods, containers, hosts, network interfaces, and more, making it easy to navigate complex systems.
From your Coralogix toolbar, go to Infrastructure > Infrastructure Explorer to access this view.
Note
Access controls can be customized to limit visibility to specific clusters, namespaces, or teams using Scopes.
Investigate a resource in Infrastructure Explorer
Clicking on any resource in the Infrastructure Explorer opens a rich side panel that provides a consolidated view of the resource’s current state, telemetry, and contextual metadata, without exposing sensitive data.
This panel does not display secrets. Values resembling secrets (e.g., tokens or keys) are randomly generated identifiers and pose no security risk.
Clicking a resource opens a context-rich drawer, surfacing everything you need to debug, diagnose, or audit:
Investigate with precision using time filtering
In Infrastructure Explorer, investigating problems often means narrowing the scope to a specific moment instead of a vague time window like 7 days ago. That’s why time filtering is central to fast, focused debugging.
Whether you are tracking a spike in CPU usage or reviewing a recent deployment, selecting an extra time range helps reduce noise, uncover patterns, and compare behavior across logs, metrics, and traces, without cognitive overload.
Live view shows the latest resource state and is now clearly marked with a timestamp and “Live” label.
Fast insight: Overview, Events, Metrics
Get a quick snapshot of resource health. Overview shows usage and status at a glance. Events reveal real-time issues like scheduling or probe failures. Metrics help spot performance trends and resource bottlenecks.
Deep dive: Details, Configuration, Logs
For exact data, Details shows metadata like image tags and labels. Configuration exposes the full YAML/JSON spec. Logs provide real-time app output with search and filtering to trace errors fast.
Connected context: Relationships, Traces
Understand dependencies. Relationships map Kubernetes resources to each other, for example, mapping Pods to Nodes, Services, or Volumes. Traces (if enabled) follow requests across services to find latency or failure points.
