Announcement
Grafana Loki - 像 Prometheus 一样处理日志的水平可伸缩日志聚合系统
Loki is a horizontally scalable, highly available, multi-tenant log aggregation system inspired by Prometheus. It is designed to be very cost effective and easy to operate.
Project Introduction
Summary
Grafana Loki is a next-generation log aggregation system designed to be as easy to operate as Prometheus. It doesn't index the contents of logs, but rather indexes streams of logs using labels, making it highly efficient and cost-effective for storing and querying logs.
Problem Solved
Managing and querying massive volumes of log data from distributed systems can be challenging, expensive, and slow with traditional solutions. Loki solves this by focusing on log stream indexing via labels rather than full text indexing, offering a cost-effective and scalable alternative.
Core Features
Index-less Log Aggregation
Leverages labels like Prometheus for efficient log stream indexing, enabling fast querying.
Cost-Effective Design
Optimized for storing and querying log data with minimal resource overhead.
Multi-Tenant Architecture
Built with multi-tenancy from the ground up, suitable for shared environments.
Grafana Integration
Integrates seamlessly with Grafana for querying and visualization of log data.
Metrics Correlation
Complements Prometheus metrics by correlating logs with metrics using labels.
Tech Stack
使用场景
Loki is suitable for various logging and monitoring use cases across different environments:
场景一：Kubernetes 日志收集
Details
Collect and centralize logs from all services and pods running in Kubernetes clusters for easy access and analysis.
User Value
Simplifies log management in dynamic containerized environments and enables quick debugging.
场景二：微服务日志统一管理
Details
Aggregate logs from distributed microservices, allowing developers and operators to trace requests and identify issues across service boundaries.
User Value
Provides a single pane of glass for troubleshooting complex distributed applications.
场景三：日志分析与可视化
Details
Utilize LogQL in Grafana to explore log streams, filter based on labels, and extract information for dashboards and alerts.
User Value
Empowers users to gain insights from log data and build proactive monitoring based on log patterns.
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