Metoro has made visibility into our Kubernetes environment effortless with on-demand event analysis and AI-driven root-cause investigations. Nothing is hidden anymore.
Powered by eBPF·No instrumentation required
Kubernetes APM
with no code changes.
APM dashboards for every service in one minute. Backed by in depth distributed tracing.
APM dashboards
APM Dashboards
APM dashboards for every service
- RED metrics generated automatically
- Get high level health overviews, drill down into individual traces and logs
- See exactly what services are making requests to your service.
- See all external dependencies for your service and their health.
Trusted by hundreds of the best at
Porter
Remy Security
Porter
Remy Security
DocioHealth
Porter
Capabilities
The full APM stack, automatically.
One Helm install gets you APM dashboards, live service maps, full traces, and Kubernetes infrastructure context for every workload - without touching your application code - thanks to eBPF and kernel instrumentation.
Dashboards & RED metrics
APM dashboards for every workload, in one minute.
Install Metoro once and every Kubernetes workload gets an APM dashboard with rate, error, duration, latency percentiles, and trace entry points - whether you own the code or not.
- ✓Automatic service dashboards from a single Helm install
- ✓Request rate, error rate, latency, and throughput for every workload
- ✓Works on third-party services without application changes
service · RED metrics
service-map · live
Service map
Auto-generated service map of your live traffic.
Metoro builds a live service map from real requests, so the topology you see matches the traffic actually moving through your cluster.
- ✓Automatically discover service dependencies and communication patterns
- ✓See request volume, errors, and latency on every edge
- ✓Spot unexpected callers, bottlenecks, and fan-out visually
- ✓Compare topology across namespaces, environments, and clusters
Distributed tracing
Full traces. No instrumentation required.
Capture request waterfalls automatically with eBPF and join them with any OpenTelemetry spans you already emit for complete request context.
- ✓Automatic distributed traces without SDKs, sidecars, or restarts
- ✓Trace waterfalls linked back to services, pods, logs, and metrics
- ✓OpenTelemetry-compatible API for custom spans and existing collectors
- ✓Investigate any request path across Kubernetes services
traces · waterfall
apm · infrastructure
APM and infrastructure
Connect APM symptoms to infrastructure causes.
When latency spikes or errors climb, Metoro shows the Kubernetes conditions behind the application behavior - pods, nodes, rollouts, restarts, OOMs, and resource pressure in the same workflow.
- ✓Pivot from a slow endpoint to the exact pod and node serving it
- ✓Correlate deploys, restarts, OOMs, and throttling with APM metrics
- ✓Understand whether a problem is code, traffic, or infrastructure
Why teams choose Metoro APM
Built for the way Kubernetes actually runs.
<1m
Helm install to first traces
single chart, no SDK setup
100%
Request and span coverage
no sampling, kernel-level eBPF
<1%
CPU overhead per node
micro-second hotpath cost
0
Code changes required
works on third-party containers too
Pricing
Cheaper than every alternative.
Cost comparison
Example monthly cost comparison
Based on typical Kubernetes APM usage
Datadog
$6,020/monthGrafana Cloud
$964/monthMetoro
$400/month* Approximate cost. Precise costs depend on the specific use case and any discounts.
** Assumes a single span is ~100 bytes. Updated July 2025.
Customer feedback
What teams are saying.
Metoro absolutely slaps, so good ❤️
Detection, investigation, and the fix PR - all before I finished reading the page. It's the first AI SRE that's actually earned its name.
Metoro has been a huge boon to our observability ecosystem; saving us time and effort getting the information we care about most out of our clusters. The only thing cooler than the tool has been the people behind it.
It found exactly what I was looking for in the logs. Amazing.
We used to spend an hour digging through dashboards when something broke. Now Metoro figures it out in minutes - our on-call engineers love it.
AI root cause analysis is just amazing. Helps us save a ton of time.
We installed Metoro, and it just worked.
I'm literally able to look up at a Slack notification from Metoro whilst having noodles, tap the link, access the Metoro dashboard, see what customers on Porter Cloud are doing and take a call in real-time. For me, that's the best thing ever.
In the last week, we've detected and blocked 10 malicious agents running on our infrastructure. Without Metoro, they would still likely be running.
Metoro made it incredibly simple for us to not just observe and trace logs, but also to dive into AI-driven investigations effortlessly - turning complex Kubernetes monitoring into a smooth, intuitive experience.
Anyone running user agents on their infrastructure needs a solution like Metoro. It's just a case of when, not if a malicious agent will be running.
FAQ
Frequently Asked Questions
Everything about Metoro Kubernetes APM.
How does Metoro APM work without instrumenting my code?
Metoro uses eBPF to monitor your applications at the kernel level. We capture performance data, traces, and metrics without code changes or restarts. The eBPF programs run safely in the kernel and collect telemetry data automatically.
What performance impact does Metoro APM have on my applications?
Metoro's eBPF-based approach has minimal overhead - typically less than 1% CPU usage. Because we operate at the kernel level, the additional latency added to your application requests is unmeasurable. We sit on the hotpath for a handful of micro-seconds.
What metrics does Metoro APM collect?
Request latencies (p50, p90, p99), error rates, throughput, CPU usage, memory utilization, network I/O, and full distributed traces between services. We also capture Kubernetes-specific metrics about your pods, deployments, and cluster health.
Can Metoro APM monitor applications in multiple Kubernetes clusters?
Yes - Metoro APM monitors applications across multiple Kubernetes clusters simultaneously, giving you a unified view of performance across your entire infrastructure.
Can I send my custom spans to Metoro APM?
Yes. Metoro APM has a fully OTel-compatible API, so you can use any OpenTelemetry collector or SDK to send custom spans alongside the spans Metoro captures via eBPF.
Does Metoro work for third-party containers I cannot modify?
Yes. eBPF runs at the kernel level and captures traffic for every container on the node, including images you do not own. There is no SDK to inject and no language to support.