Kubernetes observability tool - AI tools

Metoro is a Kubernetes observability platform that provides automatic APM, logging, tracing, and profiling through eBPF technology, requiring zero code changes and one-minute setup.

• Freemium
• From 20$

0PTIKUBE is a powerful visualization tool designed to help users understand and manage Kubernetes clusters effectively through real-time monitoring and AI-driven resource optimization.

• Free

Aptakube is a powerful, intuitive Kubernetes GUI that enables users to efficiently manage workloads across multiple clusters from a single desktop application. Designed for speed, security, and usability, it streamlines monitoring, troubleshooting, and resource management for Kubernetes professionals.

• Free Trial
• From 9$

Botkube is a Kubernetes troubleshooting platform that provides alerts, investigation tools, and remediation steps directly within your chat platform. It helps DevOps teams quickly resolve Kubernetes issues.

• Paid
• From 10$

K8sGPT is a tool for scanning Kubernetes clusters, diagnosing, and triaging issues in plain English. It leverages AI to enrich analysis and provide actionable insights.

• Free

Lumigo offers an AI-powered observability platform for troubleshooting microservice issues quickly. It provides end-to-end tracing, log management, and real-time monitoring for cloud infrastructure.

• Freemium
• From 119$

KloudMate is an observability platform delivering advanced monitoring, anomaly detection, and debugging for microservices and cloud infrastructure using AI-powered analytics.

• Usage Based
• From 60$

K8Studio simplifies Kubernetes monitoring and management with intuitive visualizations and comprehensive tools, transforming complex cluster data into clear, actionable insights.

• Paid
• From 17$

Asserts.ai is an observability platform that enhances Prometheus and OpenTelemetry, providing automated issue detection and correlation to reduce operational costs and improve visibility.

• Contact for Pricing

MetricRule is an open-source tool offering granular monitoring for machine learning models in production, tracking performance, feature drifts, and data anomalies.

• Free