Advanced configuration
Optimize Infrastructure Explorer performance by filtering Kubernetes entities and adjusting data collection frequency.
Optimize Infrastructure Explorer performance by filtering Kubernetes entities and adjusting data collection frequency.
Identify exactly what changed in your infrastructure using the Configuration Compare view in Infrastructure Explorer. Review configuration versions side by side and correlate changes with resource health to speed up incident investigation.
Ensure OpenTelemetry-instrumented applications forward logs, metrics, and traces to the Coralogix agent running as a DaemonSet.
Understand the fair usage limits for Infrastructure Explorer, what they mean, how they’re enforced, and how to monitor your usage.
Track and optimize your infrastructure telemetry ingestion with a clear view of accepted and blocked events, helping teams stay within fair usage limits and maintain accurate, cost-efficient observability.
Simulate traffic and test end-to-end observability in Coralogix by deploying the OpenTelemetry Demo application.
Learn how to view, search, group, and analyze your discovered Kubernetes and cloud resources using the Infrastructure Explorer for real-time visibility into your environment.
Common questions about Infrastructure Explorer data usage, event handling, filtering, and ingestion limits in Coralogix.
Bring AWS EC2 instances, Azure Virtual Machines, and Google Compute Engine instances into Infrastructure Explorer to view host metadata, resource usage, and OpenTelemetry agent metrics in one place.
Learn how to configure the Coralogix Kubernetes integration to collect logs, metrics, traces, and infrastructure metadata for use in Infrastructure Explorer.
Quickly assess the health of your infrastructure with summary widgets in Coralogix Infrastructure Explorer. Identify critical resources, understand distribution, and decide where to focus your investigation.
Learn how Infrastructure Explorer uses Health Policies to evaluate resource stability, surface issues quickly, and provide detailed insights into policy checks and conditions.
Monitor host-level metrics and processes for your hosts, including AWS EC2 instances and Azure Virtual Machines, using Coralogix OpenTelemetry integrations and AWS CloudWatch.
Explore how Coralogix Infrastructure Explorer helps you audit, search, and investigate infrastructure entities across Kubernetes and cloud environments in real time.
Compare Kubernetes Dashboard and Infrastructure Explorer across common monitoring tasks, including metrics visibility, troubleshooting, and cross-cluster analysis.
Enrich host metadata and send application telemetry to the Coralogix agent for full visibility in Infrastructure Explorer.
Define infrastructure health rules to automatically apply health policies across current and future resources that match your scope, set custom policy thresholds, and track each rule's health at a glance.
Understand how environment, service, and team ownership is resolved and used across Infrastructure Explorer.
Save filtered Infrastructure Explorer views to preserve query, filters, table settings, widget state, and time range, then reload them from All views.
Filter infrastructure resources using Builder mode for structured, chip-based filtering or Lucene mode for raw query syntax in Infrastructure Explorer.
Deploy a local Kubernetes cluster with Minikube and install the Coralogix OpenTelemetry integration to power Infrastructure Explorer.
Interested in using the Coralogix AWS Lambda Telemetry Exporter v.0.2.0 to collect and send us Lambda function metrics? This tutorial describes how to create a dashboard for monitoring a single Lambda function.
Use lifecycle events in Infrastructure Explorer to track resource creation, updates, keep-alive activity, and removal, and to investigate state changes that affect resource behavior.
View logs for a resource in Infrastructure Explorer, and stream incoming log lines in real time with LiveTail scoped to the selected resource.
Use the Map view in Infrastructure Explorer to see the health and shape of your Kubernetes and cloud resources as a grid of hexagons, grouped and sorted so problems surface first.