Kubernetes Logging

Kubernetes Log Management

Native Kubernetes Logging. Blazing fast, search through 1 billion logs per second. Zero setup required.

Logging at scale without the compromises

Structured by default

We automatically parse any JSON logs and parse on every field. Search and filter on any field at warp speed.

Unlimited tag cardinality

We leverage the world&pos;s fastest OLAP database: ClickHouse, to search through tags and fields at query time. This means no expensive indexing, say hello to unlimited tag cardinality.

Every container, every cluster

Logs are pulled from every container in every cluster, searchable in one place.

Packed with features

Everything you need from your first line to your trillionth

It's not just fast, it's useful.

Log Metrics

Create a metric out of any log field in seconds. Chart it, alert on it or put in a dashboard just like any other metric.

Built in monitoring

Regex match, threshold breach, missing logs? We've got you covered with in-built alerting. Webhooks, Slack, PagerDuty, and more.

Similarity Analysis

We analyze your logs to find groups of similar logs. Each log group is assigned a unique hash which you can use to find all similar logs. Debug without fiddly searches.

Regex at speed

Search your logs using anything in the re2 regex syntax. Never get caught out by a cumbersome query language.

Cost Effective

Save on Your Logging Bill

We work hard to achieve average compression rates of 30x on average. We pass those savings onto you.

Monthly cost comparison

Based on typical start-up usage

Lines

Million lines / month

Volume

GB / month
Datadog
$2,600/month
Grafana Cloud
$500/month
Metoro
$300/month

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

** Updated 5th December 2024.

Ready to get started?

Start monitoring your Kubernetes applications in minutes with zero configuration required.

Frequently Asked Questions About Kubernetes APM

Our logging agent has negligible impact, typically less than 0.5% CPU overhead. We offload as much processing as possible to our backend so that we don't impact your application's performance.

Metoro collects a wide range of logs including application logs, system logs, Kubernetes events, and container logs. We also capture metadata to provide context, making it easier to troubleshoot issues across your entire cluster.

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.

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.

Yes, Metoro allows you to exclude logs from the logs at the cluster, namespace, service level. There's also support for excluding specific regexes if you need extra control.