stern/stern
Stern
Stern 是一个 Kubernetes 命令行调试工具和日志聚合器，旨在从多个 Pod 和容器中流式传输和过滤日志。它作为日志跟踪实用程序，将来自分布式资源的实时数据整合为单一的、彩色编码的输出。
该工具使用正则表达式来选择 Pod 并过滤日志内容，从而实现特定系统事件的隔离。它自动跟踪资源的生命周期，使用监视机制附加到符合过滤条件的新 Pod，并从活动视图中移除已删除的 Pod。
功能包括按 Kubernetes 元数据、标签和命名空间过滤日志流，以及将输出限制为特定的资源类型（如 Deployment 或 Job）。该实用程序提供用于模板驱动的输出格式化、内容高亮显示以及从标准输入解析本地日志的选项。
Features
- Log Aggregation - Consolidates real-time log streams from multiple distributed pods and containers into a single output.
- Container Log Streaming - Provides real-time streaming and filtering of logs from multiple pods and containers within a Kubernetes cluster.
- Kubernetes Workload Label Filters - Restricts output based on labels, namespaces, or status conditions to isolate specific resources in large environments.
- Log-Based Debugging - Enables isolating errors across cluster resources using metadata filters and regular expressions.
- Resource Pattern Selection - Identifies and tracks pods by matching resource names against regular expression patterns for dynamic stream management.
- Dynamic Resource Watching - Uses the Kubernetes watch API to automatically detect and attach to new pods matching filter criteria.
- Dynamic Pod Pattern Tracking - Maintains an accurate resource list by selecting pods using regular expressions and automatically tracking new items.
- Asynchronous Log Streaming - Utilizes asynchronous log streaming to maintain persistent connections to multiple pods simultaneously.
- Log Event Filters - Isolates relevant information by including or excluding log lines that match specific regular expression patterns.
- Distributed Log Aggregation - Unifies log streams from multiple distributed Kubernetes resources into a color-coded view.
- Distributed Monitoring Tools - Provides tools for tracking log output across distributed sets of pods in real time.
- Log Event Filtering - Isolates relevant system events by filtering log streams based on specific nodes, container states, or pod conditions.
- Kubernetes Stream Tailing - Streams and filters logs from multiple pods and containers using regular expressions.
- Log Stream Management - Manages continuous log streams by automatically adding new resources and removing deleted ones from the active view.
- Deployment Log Filters - Narrows the search scope by restricting log output to specific resource types like deployments or jobs.
- Namespace-Based Log Filtering - Filters massive amounts of container output by namespaces, labels, and content patterns.
- Real-Time Application Log Monitoring - Streams data from multiple Kubernetes sources simultaneously with color coding for real-time debugging.
- Integrated Kubernetes Debugging Tools - Provides a single-interface CLI for streaming logs and monitoring Kubernetes workloads.
- Log Output Templates - Processes log lines through a customizable engine to apply colors and structure based on metadata.
- Stream Multiplexing - Aggregates multiple asynchronous log streams from different containers into a single synchronized output stream.
- Log Output Formatting - Transforms log data into raw text, JSON, or custom templates to control output formatting.
- Regex-Based Log Filtering - Uses regular expressions to include or exclude specific log content from Kubernetes streams.
- Log Syntax Highlighting - Accelerates visual scanning by marking specific strings and distinguishing data sources using configurable colors.
- Command Line Tools - Tails logs from multiple pods and containers simultaneously.
