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Log Monitoring for Kubernetes

Log Monitoring for Kubernetes

Easily and seamlessly stream logs to Dynatrace via the Kubernetes Log Module.

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Get started with our fully automated, full-service log streaming solution with the Dynatrace Log Module.
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Overview

The Dynatrace Kubernetes Log Module is a fully automated, full-service log streaming solution that allows you to:

  • Automatically collect relevant log files of your K8s nodes and centrally configure any required exclusions.
  • Stream and analyze logs from your K8s environments without running OneAgent on each cluster.
  • Centrally manage logs across your clusters, eliminating the hassle of configuring individual log collectors.
  • Get flexible Observability. You can start with Kubernetes platform monitoring and scale up to full-stack observability, including traces, security analytics, and real-user monitoring.
  • Get insights into logs from short-lived containers and pods such as InitContainers or Jobs.
  • Gain fine-grained log access controls by defining who can access logs at the namespace or cluster level for better security and compliance.

Use cases

Central log management

Fully manage the lifecycle and configuration of your Kubernetes log collection within the Dynatrace platform. You don't need to manage the configuration of a log shipper across all your clusters; rather, Dynatrace allows you to do this in one platform.

  • Centrally manage and control data collection, masking, dropping, transformation, and retention rather than manage distributed configurations at the source.
  • Dynamically define retention periods and compliance settings to get more flexibility and resolve issues easily.

Kubernetes troubleshooting and remediation

Logs are critical to understanding and maintaining system health and performance. Dynatrace helps you quickly troubleshoot and easily remediate in a variety of ways, allowing you to:

  • Inspect and understand logs from crashing application containers and surrounding workload logs using the Dynatrace Kubernetes app.

  • Slice and dice log data with traces and Kubernetes topology with DQL.

  • Drive evidence-based investigations for security issues and forensics.

  • Easily derive metrics and events from logs for dashboarding and prediction use cases.

  • Automate remediations with log data using Dynatrace Workflows.

  • Dive into your log data; explore logs and patterns using the Dynatrace Logs app.

Cost management and allocation

Dynatrace allows you to manage costs by controlling the amount of ingested logs, the retention period for which logs are kept for analysis, and query timeframes for your analytics. You can also manage ingestion and retention by filtering log sources, managing buckets, and picking the right license model for your needs.

Additionally, you can leverage existing labels or annotations to enrich log data with cost-allocation metadata, making it easier to allocate expenses accurately. This allows for precise cross-charging, helping ensure that bills are charged to the correct departments.

Log enrichment

In addition to cost-allocation use cases, you can enrich logs with security context and other common Kubernetes context metadata. This allows you to define IAM rules to control access to log data so that only users with specific roles or permissions can query certain logs, helping your organization maintain the highest levels of privacy and security.

Further, if you also monitor your applications with Dynatrace, your log lines will be enriched with span and trace IDs for context-rich analytics of log, trace, and metrics data.

Get started

Seamlessly manage your logs with the new Dynatrace Log Module. In the Dynatrace Kubernetes app, select + Add Cluster and follow the provided steps.

Get started today to see how Dynatrace can help you with your observability and security needs.

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