Monitor your Kubernetes infrastructure with real-time metrics, comprehensive visibility, and intelligent insights. Track nodes, pods, services, and clusters with detailed metrics and lifecycle information.
Monitor clusters, nodes, pods, and services with comprehensive metrics
You're juggling multiple dashboards for cloud, on-premises, and containers. By the time alerts fire, users are already impacted. Scaling costs spiral with every new service, and you're stuck manually fixing the same issues over and over.
Comprehensive infrastructure visibility
Logify360 provides a unified view of your Kubernetes infrastructure with real-time metrics, health status, and resource utilization across nodes, pods, and services.
Monitor your Kubernetes infrastructure with detailed dashboards showing cluster overview, node metrics, pod lifecycle, service endpoints, and workload status. Access real-time metrics and historical data to understand your infrastructure health and plan capacity.
Monitor your entire Kubernetes cluster with aggregated metrics. View CPU, memory, and resource utilization across all nodes and pods in one dashboard.
Track individual node health, resource usage, and conditions. Monitor CPU, memory, disk, and network metrics for each node in your cluster.
Monitor pod creation, scheduling, running states, and terminations. Track pod restarts, resource constraints, and lifecycle events.
View all services, deployments, and workloads in your cluster. Understand service endpoints, pod relationships, and resource allocation.
Real-time visibility and intelligent analysis
Logify360 provides comprehensive infrastructure monitoring with real-time metrics, detailed insights, and integration with AI-powered observability features.
Continuously collect and display infrastructure metrics from your Kubernetes cluster. Monitor nodes, pods, services, and workloads with up-to-date information.
Example: Real-time CPU, memory, and network metrics for all nodes and pods in your cluster
Analyze resource usage patterns across your cluster. Identify nodes and pods with high or low utilization to optimize resource allocation.
Example: Identify nodes running at 10% CPU utilization or pods approaching memory limits
Track pod lifecycle events including restarts, crashes, and state changes. Monitor deployment rollouts and workload changes.
Example: Track payment-worker pod showing 3 restarts in the last hour due to memory limits
Infrastructure metrics integrate with logs, traces, and APM data. Correlate infrastructure issues with application performance and errors.
Example: Correlate node CPU spikes with application errors and trace data to identify root causes
View historical infrastructure metrics and trends over time. Analyze resource usage patterns and capacity planning data.
Example: View CPU utilization trends over the past week to plan for traffic spikes
Monitor and optimize your infrastructure resources
Track resource utilization across your cluster. Identify overprovisioned and underutilized resources to optimize capacity and plan for growth.
Monitor CPU, memory, disk, and network usage across all nodes and pods to identify optimization opportunities.
Use historical metrics and trends to plan capacity and identify underutilized or overprovisioned resources.
Track infrastructure health and resource usage in real-time to proactively address issues before they impact services.
Real-time visibility and insights
Complete visibility into all nodes, pods, services, and workloads in your cluster
Continuous monitoring with real-time metrics and automatic updates
Track CPU, memory, disk, and network metrics across all infrastructure components
Infrastructure metrics integrated with logs, traces, and APM data
Built for scale, reliability, and cost efficiency
Discover how Logify360 helps you monitor and optimize your entire stack
See how Logify360 provides comprehensive Kubernetes infrastructure monitoring with real-time metrics, detailed insights, and complete visibility.
Monitor your Kubernetes infrastructure with real-time metrics, comprehensive visibility, and intelligent insights. Track nodes, pods, services, and clusters with detailed metrics and lifecycle information.
Monitor clusters, nodes, pods, and services with comprehensive metrics
You're juggling multiple dashboards for cloud, on-premises, and containers. By the time alerts fire, users are already impacted. Scaling costs spiral with every new service, and you're stuck manually fixing the same issues over and over.
Comprehensive infrastructure visibility
Logify360 provides a unified view of your Kubernetes infrastructure with real-time metrics, health status, and resource utilization across nodes, pods, and services.
Monitor your Kubernetes infrastructure with detailed dashboards showing cluster overview, node metrics, pod lifecycle, service endpoints, and workload status. Access real-time metrics and historical data to understand your infrastructure health and plan capacity.
Monitor your entire Kubernetes cluster with aggregated metrics. View CPU, memory, and resource utilization across all nodes and pods in one dashboard.
Track individual node health, resource usage, and conditions. Monitor CPU, memory, disk, and network metrics for each node in your cluster.
Monitor pod creation, scheduling, running states, and terminations. Track pod restarts, resource constraints, and lifecycle events.
View all services, deployments, and workloads in your cluster. Understand service endpoints, pod relationships, and resource allocation.
Real-time visibility and intelligent analysis
Logify360 provides comprehensive infrastructure monitoring with real-time metrics, detailed insights, and integration with AI-powered observability features.
Continuously collect and display infrastructure metrics from your Kubernetes cluster. Monitor nodes, pods, services, and workloads with up-to-date information.
Example: Real-time CPU, memory, and network metrics for all nodes and pods in your cluster
Analyze resource usage patterns across your cluster. Identify nodes and pods with high or low utilization to optimize resource allocation.
Example: Identify nodes running at 10% CPU utilization or pods approaching memory limits
Track pod lifecycle events including restarts, crashes, and state changes. Monitor deployment rollouts and workload changes.
Example: Track payment-worker pod showing 3 restarts in the last hour due to memory limits
Infrastructure metrics integrate with logs, traces, and APM data. Correlate infrastructure issues with application performance and errors.
Example: Correlate node CPU spikes with application errors and trace data to identify root causes
View historical infrastructure metrics and trends over time. Analyze resource usage patterns and capacity planning data.
Example: View CPU utilization trends over the past week to plan for traffic spikes
Monitor and optimize your infrastructure resources
Track resource utilization across your cluster. Identify overprovisioned and underutilized resources to optimize capacity and plan for growth.
Monitor CPU, memory, disk, and network usage across all nodes and pods to identify optimization opportunities.
Use historical metrics and trends to plan capacity and identify underutilized or overprovisioned resources.
Track infrastructure health and resource usage in real-time to proactively address issues before they impact services.
Real-time visibility and insights
Complete visibility into all nodes, pods, services, and workloads in your cluster
Continuous monitoring with real-time metrics and automatic updates
Track CPU, memory, disk, and network metrics across all infrastructure components
Infrastructure metrics integrated with logs, traces, and APM data
Built for scale, reliability, and cost efficiency
Discover how Logify360 helps you monitor and optimize your entire stack
See how Logify360 provides comprehensive Kubernetes infrastructure monitoring with real-time metrics, detailed insights, and complete visibility.