Metoro has made visibility into our Kubernetes environment effortless with on-demand event analysis and AI-driven root-cause investigations. Nothing is hidden anymore.
Kubernetes Logging·1 billion logs per second, zero setup
Kubernetes Log management
at scale.
Search billions of log lines in milliseconds. Parse, transform, and alert on every workload - with unlimited cardinality and a single Helm install.
Logs explorer
Trusted by hundreds of the best at
Porter
Remy Security
Porter
Remy Security
DocioHealth
Porter
Capabilities
Out-of-the-box, the moment you install.
Structured logs, unlimited cardinality, log metrics, sensitive information redaction, and similarity analysis - all in a single Helm install.
Lightning fast search
Search billions of log lines in milliseconds.
Full-text search with unlimited tag cardinality and regex support - no indexing strategy to plan, no fields to whitelist.
- ✓Automatic JSON parsing with field-level search
- ✓Pod, container, service, namespace, environment, and host labels added automatically
- ✓Full surrounding context around every search result, not just the matching line
logs · live search
logs · transform
On-the-fly transformations
Parse messy logs into structured columns - without redeploying.
Apply RE2 capture groups at query time to turn unstructured log lines into column-based, queryable data - no codebase changes required.
- ✓Build custom log views without touching your application code
- ✓Alert on extracted fields and regex matches
- ✓Save and share queries with your team
- ✓Export structured logs to external systems
Dashboards & alerting
Treat logs like first-class metrics.
Query, visualize, and alert on log patterns the same way you would with metrics. Out-of-the-box dashboards plus a custom builder for everything else.
- ✓Visualize logs with custom or out-of-the-box dashboards
- ✓Custom alerts on log patterns to catch issues early
- ✓Apply transformations, aggregations, and functions at any granularity
logs · dashboards
logs · filters
Ingestion controls
Ingest only what matters - safely and in compliance.
Combine source filters, attribute rules, and pattern-driven redaction to keep cost predictable and sensitive data out of your logs.
- ✓Filter by source - exclude entire services, namespaces, environments, or hosts at ingest
- ✓Attribute-based rules - allow or block logs by custom tags like customer type, region, or app tier
- ✓Pattern-driven redaction - auto-redact or hash any entry matching your regex rules
- ✓Live preview & audit - test filters against incoming streams and review changelog of all ingestion-rule updates
Why teams choose Metoro Logging
Built for the way Kubernetes actually logs.
1B/s
Log search throughput
full-text search across billions of lines
30x
Average compression rate
savings passed straight to your bill
<0.5%
CPU overhead per node
processing offloaded to the backend
0
Setup required
single Helm install, no SDK
Cost-effective by design
Save on your logging bill.
Cost comparison
Monthly cost comparison
Based on typical start-up usage
Datadog
$2,600/monthGrafana Cloud
$500/monthMetoro
$200/month* Approximate cost. Precise costs depend on the specific use case and any discounts.
** 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 Logging.
What's the performance impact of Metoro's logging solution?
The collectors are not on the hotpath, so they don't have any impact on application performance. We offload as much processing as possible to our backend so that the collector is simple and efficient. Typically, the overhead is less than 0.5% CPU.
What types of logs does Metoro collect?
Metoro automatically pulls every log emitted to stdout/stderr from every container. It also accepts OpenTelemetry logs from external logging sources, then adds Kubernetes metadata so you can troubleshoot issues across your entire cluster.
Can Metoro aggregate logs from multiple Kubernetes clusters?
Yes, Metoro can collect and aggregate logs from multiple Kubernetes clusters simultaneously, providing a centralized view of your entire infrastructure's logging data for easier management and analysis.
Does Metoro support custom log parsing and filtering?
Absolutely. Metoro supports custom log parsing rules and advanced filtering options, allowing you to extract specific information from your logs and create tailored views based on your unique requirements.
Can I exclude logs from Metoro?
Yes, Metoro allows you to exclude logs at the cluster, namespace, or service level. There's also support for excluding specific regexes if you need extra control.