Kubernetes

Purpose

The Kubernetes analyzer provides insights into the state and performance of your Kubernetes clusters, nodes, pods, containers, storage, and events. It enables IT Ops and Sec Ops engineers to monitor workloads, optimize resource utilization, and detect potential issues in real time. This analyzer helps streamline Kubernetes management, ensuring better application reliability and operational efficiency. It supports maintaining compliance and adherence to organizational policies by providing clear visibility into cluster-level operations and resource allocations.

List of Sightlines and Widgets

Kubernetes Clusters

Significance: The Kubernetes Clusters sightline provides a high-level overview of cluster infrastructure, focusing on clusters, nodes, and pods. IT Ops teams can monitor cluster resources and pod distribution to optimize workload scheduling and capacity planning. Sec Ops engineers benefit from this view by ensuring that clusters maintain secure configurations.

Widgets:

• Total Clusters

• Total Nodes

• Total Pods

• Distribution of Pods based on Nodes

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Kubernetes Pods

Significance: The Kubernetes Pods sightline provides detailed information about pod usage and statuses within clusters. IT Ops engineers use this to monitor pod health, identify bottlenecks, and optimize deployments. Sec Ops engineers benefit from insights into pod states to identify anomalies or misconfigurations.

Widgets:

• Total Pods

• Pods Overview

• Distribution of Pod Status

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Kubernetes Nodes

Significance: The Kubernetes Nodes sightline focuses on the health and distribution of nodes within the clusters. IT Ops engineers can use this data to manage workloads effectively and ensure balanced resource utilization.

Widgets:

• Total Nodes

• Nodes Overview

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Kubernetes Containers

Significance: The Kubernetes Containers sightline provides visibility into container usage trends, enabling efficient monitoring of containerized workloads. IT Ops engineers can identify resource constraints and predict scaling needs based on container activity.

Widgets:

• Total Containers

• Number of Containers Over Time

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Kubernetes Storage

Significance: The Kubernetes Storage sightline provides insights into persistent volumes within clusters, enabling teams to track storage allocation and usage. IT Ops engineers can use this information to manage capacity planning and maintain efficient storage configurations.

Widgets:

• Total Persistent Volumes

• Distribution of Persistent Volumes per Cluster

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Kubernetes Events

Significance: The Kubernetes Events sightline tracks events generated within clusters, providing IT Ops and Sec Ops engineers with actionable insights into activity trends and potential issues. This sightline is critical for debugging and ensuring the smooth operation of clusters.

Widgets:

• Count of Events Over Time

• Events Overview

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List of Alerts

• Node Resource Usage Alert: Detects nodes approaching resource limits (CPU, memory, etc.) to prevent workload failures and ensure cluster stability.

  • For IT Engineers: Enables proactive scaling or workload redistribution.

  • For Security Engineers: Ensures secure operation by avoiding resource starvation that could expose clusters to performance issues.

• Pod CrashLoopBackOff Alert: Flags pods stuck in a CrashLoopBackOff state, indicating potential deployment or configuration issues.

  • For IT Engineers: Helps debug and fix workload issues rapidly.

  • For Security Engineers: Identifies anomalies caused by misconfigurations or malicious activities.

• Persistent Volume Utilization Alert: Tracks storage volumes nearing full capacity, ensuring smooth operation and avoiding data loss.

  • For IT Engineers: Facilitates effective storage management and planning.

  • For Security Engineers: Ensures no disruptions in data security due to mismanaged storage.

• Event Surge Alert: Highlights a sudden increase in Kubernetes events, which could indicate cluster-wide issues or malicious activity.

  • For IT Engineers: Enables real-time debugging of operational challenges.

  • For Security Engineers: Flags potential security incidents, ensuring rapid response.

• Inactive Containers Alert: Identifies containers running but not actively performing tasks.

  • For IT Engineers: Helps optimize resource allocation by identifying unused workloads.

  • For Security Engineers: Ensures no rogue containers are running unnoticed.