Kubernetes Logs Monitoring & Observability

Explore the nuances of Kubernetes Logging, offering a comprehensive approach to efficiently troubleshoot Kubernetes, trace issues, and optimize cluster performance.

Kubernetes Logs Monitoring
kubernetes Log InsightsAnalysis

Real-time Kubernetes Logs Insights

Gain real-time insights from Kubernetes logs for proactive diagnosis and debugging. Uncover detailed visibility into Kubernetes container logs and event logs, optimizing efficiency in troubleshooting and anomaly detection. Utilize real-time data for swift adaptation to dynamic circumstances, ensuring continuous peak performance.

Real-time Kubernetes Log Analysis
Parse and Transform Kubernetes LogsRefine Logs

Advanced Parsing and Structuring of Kubernetes Logs

Transform Kubernetes container logs into structured, actionable insights, optimizing the effectiveness of logs monitoring and analysis processes. Prioritize customer security by meticulously anonymizing PII data, completely excluding sensitive fields. Our approach ensures seamless processing, regardless of the data source, format, or schema, optimizing storage, and enabling nuanced analysis for improved monitoring and issue resolution.

Parse and Transform Kubernetes Logs
InstallationLog Pipelines

Create Powerful Log Pipelines with Ease

Create customized pipelines using diverse filters and fine-tune your log data through custom parsing rules. Extract valuable insights by breaking down logs into structured fields, ensuring your data is organized and easy to analyze. Filter by log source, severity, timestamp, or any custom field to focus on what matters most. Construct robust pipelines to ensure the continuous flow of insights, reducing downtime in your Kubernetes infrastructure.

Kubernetes Log Pipelines
Kubernetes Logs Saved ViewSaved Views

Saved Views for Effortless Context Switching

Customize your troubleshooting environment and switch effortlessly between different contexts with just a click. Save time and boost efficiency by automating repetitive troubleshooting tasks through Saved Views. Define filters, facets, and visualizations in advance to automatically load when switching to a specific troubleshooting context. Simplify collaboration by enabling team members to adopt and share predefined views.

Kubernetes Logs Saved View

Logs Aggregate and Analysis made easy!

Live performance data

Real-time alerting

Immediate notification of high-priority incidents through advanced configurations based on error logs or custom queries.

Resolve issues quickly

Filter Context

Enhance debugging by adding/deleting related streams like host, service, source, severity for focused analysis.

Compare releases

Seek by Time

Pinpoint events in distributed logs for detailed issue resolution—critical for understanding specific occurrences across systems.

Smart notifications

Saved Views

Save, re-run searches, and manage views easily within the event viewer—modify filters swiftly for efficient log event analysis.

Built for developers

Built for developers

Designed to help developers and managers determine when and where their attention is required and enable teams to make fast.

Full text search

Email digests

Don't miss out on your events and error stats. Atatus can send you weekly and monthly summaries directly to your inbox.

FAQs on Kubernetes Logs Monitoring

What is Kubernetes Logs Monitoring, and why is it important?

Kubernetes Logs Monitoring involves tracking and analyzing log data generated by applications and services running on Kubernetes clusters. It is crucial for identifying issues, troubleshooting, and optimizing performance in a dynamic containerized environment.

How does Atatus assist in Kubernetes Logs Monitoring?

Atatus provides a comprehensive solution for Kubernetes Logs Monitoring, allowing users to aggregate, analyze, and visualize log data from their containerized applications. This helps in gaining insights into the performance and health of the applications.

What types of logs can I monitor in Atatus for Kubernetes applications?

Atatus allows you to monitor a variety of logs, including application logs, server logs, container logs, pod logs, Kubernetes system logs, network logs, security logs, custom logs, error logs, and performance logs.

Can I set up alerts based on Kubernetes log events in Atatus?

Yes, Atatus allows you to set up custom alerts based on specific log events. You can define alert conditions, thresholds, and actions to be triggered when certain log events match your criteria. This proactive monitoring helps in identifying and addressing issues before they impact your users.

How does Atatus help in troubleshooting Kubernetes applications?

Atatus provides a centralized platform for log management, enabling you to search, filter, and analyze Kubernetes logs easily. With features like log aggregation, full-text search, and visualizations, troubleshooting becomes more efficient, allowing you to pinpoint issues and resolve them quickly.

How does log data parsing prioritize customer security?

Log data parsing prioritizes customer security by meticulously anonymizing Personally Identifiable Information (PII) data. Sensitive fields can be completely excluded during the parsing process, ensuring the privacy and compliance of customer information.

How can log pipelines be customized for individual monitoring needs?

In Kubernetes Logs Monitoring, log pipelines are customizable workflows that allow users to filter, parse, and fine-tune log data based on specific criteria.

Log pipelines can be customized by using diverse filters and defining custom parsing rules. Users have the flexibility to configure pipelines to meet their specific monitoring requirements, ensuring that log data is processed and organized according to their preferences.

Can log pipelines be configured to focus on specific log attributes?

Yes, log pipelines can be configured to filter log data based on various attributes such as log source, severity, timestamp, or any custom field. This customization allows users to focus on specific aspects of log data that are most relevant to their monitoring goals.

How does Saved Views enhance the troubleshooting experience?

Saved Views in Kubernetes Logs Monitoring enable you to create and save custom configurations for different troubleshooting scenarios. This feature simplifies collaboration, allows for quick context switching, and automates repetitive tasks, significantly improving overall efficiency.

What happens if my log ingestion rate exceeds the limits of my Atatus subscription?

If you exceed your log ingestion limits, we would contact you to discuss on stopping further processing new log data or upgrade your subscription.

What log storage options does Atatus offer?

You can choose to store logs in Atatus for a limited time (e.g., 7 days) or export them to external storage solutions like Amazon S3 for long-term retention.

What happens if I need to search for historical log data that exceeds the retention period?

To access historical log data beyond the retention period, you can rely on log data exports from Amazon S3, where you can push the logs into Atatus for further analysis.

Can I customize log retention settings in Atatus?

Yes, Atatus provides users with the flexibility to customize log retention settings. Users can adjust retention periods based on their specific needs, aligning with compliance standards or internal data management policies.

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