You can use KubeSense to monitor your entire cloud infrastructure, Kubernetes clusters, and applications without installing heavy agents. By capturing telemetry directly from the Linux kernel using eBPF, it tracks network traffic, logs, metrics, and traces with minimal system overhead. The system automatically maps service dependencies, detects error patterns across distributed services, and runs root cause analysis when incidents occur. You can inspect database query slowdowns, watch streaming data pipelines, track Kubernetes events, and get clear recommendations to fix production performance issues quickly.
What KubeSense does
Pricing breakdown
Pricing model: Paid
Frequently asked
Want a tailored answer?
See whether KubeSense fits your stack.
Techbible weighs KubeSense against what you already pay for, your team shape, and the work that's actually happening. Free to start.
Side by side
Compare KubeSense
Search the catalog or pick a similar tool to compare pricing, features, and fit.
Or pick from similar tools
More in APM & Observability
All tools →
Amazon CloudWatch
Collect and track metrics, logs, and traces across your cloud infrastructure and applications
Antenna
Track AI spending, model usage, and developer productivity
AppDynamics
Monitor application performance and infrastructure health across hybrid environments in real time
Axiom
Ingest, store, and query high-volume machine logs and telemetry data at petabyte scale
Bacca.ai
Manage production incidents and autonomously mitigate system issues during on-call rotations
Better Stack
Monitor infrastructure metrics, manage logs, and track uptime incidents with automated alerts
BigPanda
Automate IT alert triage and incident response to prevent outages across systems
Bindplane
Route, process, and manage observability data across your infrastructure with OpenTelemetry collectors