KubeSense offers agentless observability for modern tech stacks using eBPF technology, providing deep visibility into system behavior without code changes. Their platform delivers error tracking, root cause analysis, and alert analytics, enabling efficient troubleshooting and enhanced security through privileged control within the Linux kernel.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional observability solutions often rely on agents, leading to complex configurations, performance overhead, and limitations in tech stack coverage. These agent-based systems can be intrusive, costly to maintain, and may not provide the deep visibility needed for modern cloud and AI applications.
Solution
KubeSense offers an agentless observability platform powered by eBPF technology, providing deep visibility into system behavior without requiring code changes or agent configurations. The platform leverages an Agentic Data Model and AI-driven telemetry monitoring to deliver error tracking, root cause analysis, and alert analytics at petabyte scale. By capturing data directly from the kernel, KubeSense ensures non-intrusive monitoring with zero tech stack limitations and no performance overhead. This approach enables organizations to achieve instant ROI, reduce operational costs, and future-proof their telemetry while maintaining high security standards through privileged control within the Linux kernel.
Target Audience
KubeSense is designed for engineering teams, tech leaders, and enterprises seeking to optimize their observability strategy, reduce operational costs, and improve application performance in cloud-native and hybrid environments.
Features
- Agentless architecture using eBPF for non-intrusive data capture directly from the kernel
- AI-powered debugging and root cause analysis for faster troubleshooting
- Support for over twenty protocols with a single sensor
- Real-time insights at petabyte scale with the Agentic Data Model
- Unified observability across logs, infrastructure metrics, tracing, and K8s events
- AI-driven recommendations for automated troubleshooting
- Integration with cloud services, including serverless platforms and managed databases
- Customizable dashboards and visualizations using Grafana and PromQL
- Proactive alerting based on SLOs and key health metrics
- Comprehensive Kubernetes monitoring, including health and utilization tracking
- SOC 2 Type 2 and ISO 27001 certifications
- Data encryption in transit and at rest using TLS and AES protocols