Klavis.ai is an enterprise-grade AI observability agent that unifies logs, metrics, traces, and events into a single AI-driven layer. It supports connectors for Prometheus, Elastic, Grafana, AWS CloudWatch and more. Teams can ask natural-language questions about system health, receive instant anomaly alerts, and get guided remediation steps. Its AI models correlate data across services to pinpoint failures, reduce alert noise, and proactively surface performance issues before they impact users.
Klavis.ai Core Features
Natural-language querying of logs, metrics, and traces
AI-powered anomaly detection and alerting
Automated root-cause analysis
Remediation guidance and runbook recommendations
Integrations with Prometheus, Elastic, Grafana, CloudWatch
Customizable dashboards and reports
Klavis.ai Pro & Cons
The Cons
No mobile app presence on Google Play or Apple App Store.
Pricing details may require contacting sales for enterprise options.
Limited information on potential performance or user limitations.
The Pros
Open-source infrastructure supporting Model Context Protocols for AI applications.
Supports multiple popular programming languages for integration.
Hosted MCP servers with high stability and reliability on dedicated cloud infrastructure.
Secure OAuth and user-based authentication integration.
Direct access to MCP servers through popular communication platforms like Slack and Discord.
Streamlined API interface for easy integration and scaling.
White-label OAuth support for customizable authentication experience.
BigPanda is an AI-driven incident management platform designed to automate the process of resolving IT incidents. By leveraging machine learning and big data analytics, it correlates alerts from various monitoring tools, thus minimizing noise and identifying actionable incidents. Organizations can enhance their operational efficiency and reduce downtime while providing better service reliability by employing BigPanda’s intelligent automation capabilities.
