Checkmk vs Kentik comparison

Checkmk provides a comprehensive monitoring solution designed to streamline IT infrastructure management with features like auto-discovery, custom checks, and effective alerting.

Checkmk serves as a powerful tool for organizations managing large networks of servers, databases, and network appliances across multiple locations. It simplifies monitoring tasks with features like auto-discovery, custom scripting, and Slack integration. Users benefit from its resource monitoring capabilities and scalability, although there are areas for improvement, such as alert acknowledgment and greater usability. It supports both Linux and Windows environments, enabling effective oversight of IT infrastructure. The growing body of documentation enhances its adaptability in complex settings.

• Auto-Discovery: Identifies new hosts and applies monitoring rules automatically.
• Custom Monitoring Checks: Tailor checks for databases and specific applications.
• Slack Integration: Receive downtime alerts directly in Slack channels.
• Automation for Scripts: Streamline repetitive tasks with scripts.
• Effective Alerting System: Offers timely notifications on network activities.

• Resource Efficiency: Saves time on configuration with automated features.
• Scalability: Easily adapts to growing network and system requirements.
• Cost-Effectiveness: Suitable option for budget-conscious users.
• User-Friendly Setup: Easy to configure, reducing the learning curve.

Industries deploying Checkmk frequently utilize it for monitoring IT infrastructure, including servers and network appliances, to manage proactive issue identification and compliance. Companies employ it in the proof of concept phase or for ongoing monitoring, covering hosts, services, and custom application metrics.

Kentik's AIOps Network Traffic Intelligence platform unifies network operations, performance, security, and business intelligence. 

With a purpose-built big data engine delivered as public or private SaaS, Kentik captures a high-resolution view of actual network traffic data and enriches it with critical application and business data, so every network event or analysis can be tied to revenue & costs, customer & user experience, performance & risk.