Kubernetes Logging

Kubernetes Log Management

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

Out-of-the-box

Structured Logs

Unlimited Cardinality

Log Metrics

Sensitive Information Redaction

Similarity Analysis

Lightning Fast Log Search

Search through billions of logs in milliseconds with unlimited tag cardinality and regex support.

  • Automatic JSON parsing with field-level search
  • Pod-, container-, service-, namespace-, environment-, and host- auto labeled logs.
  • Context matters . See the full log context around your search results.
Lightning Fast Log Search
Log Transformations on the Fly

Log Transformations on the Fly

Parse even the messiest log lines on the fly into structured, column-based views with RE2 capture groups.

  • Build custom log views without touching your codebase.
  • Alert on custom log fields and regex matches.
  • Save and share log queries with your team via saved queries.
  • Export logs to external systems.

Visualize and Alert on Your Logs

Query and visualize your logs just like you would with metrics. Set up alerts, dashboards, and more to get the most out of your log data.

  • Visualize logs with custom or out-of-the-box dashboards.
  • Create custom alerts on log patterns to monitor trends and catch issues early
  • Apply transformations, aggregations and functions at any granularity level.
Visualize and Alert on Your Logs
Fine-Grained Log Ingestion Controls

Fine-Grained Log Ingestion Controls

Harness these ingestion settings to ensure you only ingest the logs you need—safely, efficiently, and in full compliance.

  • Filter by Source: Exclude entire services, namespaces, environments, or hosts at ingest to cut costs and surface only what matters
  • Attribute-Based Inclusion/Exclusion: Define custom tags or fields (e.g. customerType, region, appTier) to dynamically allow or block logs
  • Pattern-Driven Redaction: Automatically redact or hash any log entries matching your regex rules—keep logs flowing without exposing sensitive data
  • Cost & Compliance Guardrails: Combine exclusion and redaction rules to optimize spend, meet data-retention policies, and satisfy privacy requirements
  • Live Rule Preview & Audit: Test filters against incoming streams in real time and review a changelog of all ingestion-rule updates

Cost Effective

Save on Your Logging Bill

We work hard to achieve average compression rates of 30x. 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 July 2025.

Ready to streamline your logs?

Start searching through your Kubernetes logs instantly with zero configuration.

SUPPORT

Frequently Asked Questions About Kubernetes Logging

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.

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.