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·Built for Kubernetes environments
Kubernetes Monitoring
all in one platform.
1 minute install with a single command - everything comes out of the box. Zero setup. 50x cheaper than Datadog.
One-minute install
Install
Live in 60 seconds
- Single Helm command
- Zero code changes
- 7 signals out of the box across every node, pod and container
Trusted by hundreds of the best at
Porter
Remy Security
Porter
Remy Security
DocioHealth
Porter
Complete Kubernetes observability
One platform for monitoring infrastructure, APM, metrics, logs, profiles, cost, uptime, and AI SRE
Install Metoro once and get the signals teams normally stitch together across separate tools, with Kubernetes context attached by default.
Infrastructure monitoring
Monitor every node, pod, deployment, and cluster.
Metoro gives Kubernetes teams a live infrastructure view with resource pressure, restarts, OOMs, node health, and deployment state connected to the rest of your telemetry.
- +Node, pod, container, namespace, and cluster metrics out of the box
- +Kubernetes status, events, requests, limits, and right-sizing context
- +Issues surfaced as ranked findings instead of dashboard archaeology
- +In-built detectors like noisy neighbor, resource contention, and more
infra / nodes
apm / services
APM
Application performance monitoring without instrumentation.
eBPF-powered APM captures service traffic automatically, then turns it into RED metrics, distributed traces, latency breakdowns, and service relationships.
- +Request rate, errors, and latency for every Kubernetes service
- +Distributed traces captured without SDK rollout or restarts
- +Service maps and trace detail linked to pods, logs, and profiles
Log management
The fastest log query engine with every log emitted by any container.
Collect logs from every workload, add Kubernetes metadata automatically, and search across high-cardinality labels without planning an indexing strategy first. Search at > 1 billion logs per second.
- +Fast full-text / regex search across services, pods, namespaces, and clusters
- +JSON parsing, regex transforms, and saved queries
- +Log-based dashboards, alerts, and ingestion controls
logs / search
profiling / flamegraph
Profiling
Continuous profiling for every container.
Always-on CPU profiles show where time is spent inside your workloads, then connect hot paths back to services, traces, pods, and releases.
- +Low-overhead eBPF profiling across every node
- +Interactive flame graphs for Go, Python, Rust, C, and C++ workloads
- +AI-assisted regression and bottleneck analysis
Cost management
Understand Kubernetes spend by workload, owner, and change.
Metoro connects resource usage, requests, limits, namespaces, labels, and deploy history so teams can see where cluster spend is going and which workloads need attention.
- +Allocate spend by service, namespace, deployment, node pool, or label
- +Compare requested resources against real CPU and memory usage
- +Prioritize right-sizing opportunities by monthly impact
- +Catch cost anomalies caused by deploys, scaling events, and noisy jobs
- +Automatic PR generation to reduce oversized workloads
cost / advisor
uptime / checks
Uptime monitoring
Track service availability from your clients perspective.
Monitor public and internal endpoints from multiple regions, route availability alerts to the right team, and keep customers informed with status pages tied to the same checks.
- +HTTP, HTTPS, TCP, UDP, DNS, and SSL certificate monitoring
- +Multi-region checks with custom headers and response validation
- +Alerts through Slack, PagerDuty, email, and webhooks
- +Public status pages with live status, incidents, and maintenance
AI SRE features
Observability on autopilot with AI
Metoro uses the telemetry it already collected to verify deployments, detect production issues, investigate root cause, and explain the evidence in plain language.
- +Deployment verification after code and configuration changes
- +Automatic issue detection across apps, infrastructure, logs, and traces
- +Root cause analysis with evidence and suggested next steps
ai sre / investigation
Pricing
Save on your observability bill.
Cost comparison
Example monthly cost comparison
Based on typical Kubernetes 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.