Muskit Muskit is a platform that provides real-time performance monitoring and alerting for Kubernetes clusters. It helps you identify and troubleshoot issues quickly and efficiently, ensuring the reliability and performance of your applications. Features: Real-Time Monitoring: Continuously monitors cluster metrics, such as CPU and memory usage, pod status, and network performance. Alerting: Generates customizable alerts based on predefined thresholds, notifying you of potential problems. Troubleshooting Tools: Provides detailed dashboards and visualizations to help you diagnose issues and identify root causes. API Integration: Integrates with Kubernetes API to collect data directly from the cluster. Historical Data Storage: Stores historical performance data for analysis and trend identification. AWS Support: Can be deployed on AWS EKS clusters. Open Source: Available under the Apache 2.0 license. Benefits: Improved Visibility: Provides a comprehensive view of cluster performance and health. Faster Troubleshooting: Helps identify and resolve issues quickly, minimizing downtime. Enhanced Reliability: Ensures the stability and performance of Kubernetes applications. Reduced MTTR: Shortens the mean time to repair by providing real-time alerts and actionable insights. Cost Savings: Prevents outages and performance issues, reducing cloud infrastructure expenses. Use Cases: Monitoring production clusters for stability and uptime Troubleshooting performance bottlenecks in complex applications Identifying resource allocation issues and optimization opportunities Ensuring compliance with performance and availability SLAs Capacity planning and predicting future resource needs

Muskit

Muskit is a platform that provides real-time performance monitoring and alerting for Kubernetes clusters. It helps you identify and troubleshoot issues quickly and efficiently, ensuring the reliability and performance of your applications.

Features:

Real-Time Monitoring: Continuously monitors cluster metrics, such as CPU and memory usage, pod status, and network performance.
Alerting: Generates customizable alerts based on predefined thresholds, notifying you of potential problems.
Troubleshooting Tools: Provides detailed dashboards and visualizations to help you diagnose issues and identify root causes.
API Integration: Integrates with Kubernetes API to collect data directly from the cluster.
Historical Data Storage: Stores historical performance data for analysis and trend identification.
AWS Support: Can be deployed on AWS EKS clusters.
Open Source: Available under the Apache 2.0 license.

Benefits:

Improved Visibility: Provides a comprehensive view of cluster performance and health.
Faster Troubleshooting: Helps identify and resolve issues quickly, minimizing downtime.
Enhanced Reliability: Ensures the stability and performance of Kubernetes applications.
Reduced MTTR: Shortens the mean time to repair by providing real-time alerts and actionable insights.
Cost Savings: Prevents outages and performance issues, reducing cloud infrastructure expenses.

Use Cases:

Monitoring production clusters for stability and uptime
Troubleshooting performance bottlenecks in complex applications
Identifying resource allocation issues and optimization opportunities
Ensuring compliance with performance and availability SLAs
Capacity planning and predicting future resource needs