Kubernetes APM in one click

Application Performance Monitoring

Get full tracing and RED Metrics with zero code changes
for 20% of the price.

Out-of-the-box

Distributed Tracing

Service Maps

Performance Monitoring

Service Dashboards

Always on Profiling

Dashboards for every workload in less than 5 minutes

Rate, Error, Duration (RED) metrics are automatically collected and visualized for every service in your cluster, whether you own the code or not.

  • Automatic dashboard generation for every deployment
  • No blind spots. eBPF captures all traffic, even for third-party services
  • No sampling. Get 100% of your traffic data without performance impact.
APM Service Dashboard showing RED metrics
Service Map showing dependencies and communication patterns

Automatic Service Graph

See how your cluster works. Visualize your entire service mesh automatically.

  • Auto-discover service dependencies and communication patterns
  • Identify bottlenecks and latency issues visually
  • Real-time service health indicators
  • Optimize your service mesh architecture

Distributed Tracing

Full distributed tracing across your entire stack with 100% OpenTelemetry compatibility.

  • OTEL-compatible API for custom spans and traces
  • eBPF traces linked with OTel spans for full context
  • End-to-end request flow visualization
  • Works with any OTEL collector or instrumentation
Distributed Tracing showing request flow and spans

Cost Effective

Save on Your Observability Costs

Our efficient eBPF-based approach and optimized storage can cut your observability costs by up to 90%.

Example monthly cost comparison

Based on typical start-up usage

Hosts

Containers

Traces

Million spans/month
Datadog
$6,020/month
Grafana Cloud
$964/month
Metoro
$460/month

* Approximate cost. Precise costs depend on the specific use case and any discounts.

** Assumes a single span is ~100 bytes. Updated July 2025.

Ready to get started?

Start monitoring your Kubernetes applications now.

SUPPORT

Frequently Asked Questions About Kubernetes APM

Everything you need to know about the product and billing. Can't find the answer you're looking for? Ask us on our Slack Community.

Metoro uses eBPF technology to monitor your applications at the kernel level. This means we can capture performance data, traces, and metrics without requiring any code changes or restarts to your applications. The eBPF programs run safely in the kernel and collect telemetry data automatically.

Metoro's eBPF-based approach has minimal overhead, typically less than 1% CPU usage. Since we operate at the kernel level, there's an almost unmeasurable additional latency added to your application requests. We're on the hotpath for a handful of micro-seconds.

Metoro APM collects a comprehensive set of metrics including: request latencies (p50, p90, p99), error rates, throughput, CPU usage, memory utilization, network I/O, and detailed traces of service interactions. We also capture Kubernetes-specific metrics about your pods, deployments, and cluster health.

Yes, Metoro APM can monitor applications across multiple Kubernetes clusters simultaneously. This gives you a unified view of your applications' performance across your entire infrastructure.

Yes, Metoro APM supports sending custom spans to our backend. We have a full otel compatible API so you can just use any otel collector.