Container Log Data Caching via Message Queue
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Solution Overview
Problem
In a highly concurrent Docker container environment, log data storage is incomplete due to resource contention, leading to potential data loss and storage issues during peak log data generation.
Innovation Solution
A log data collection method that involves acquiring log data from containers, caching it in a message queue component, and then using a data stream migration component to transmit it to a distributed file system for storage, thereby avoiding direct file storage and mitigating resource contention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If log data is directly stored in a file system during high concurrency, then storage speed may be fast, but resource contention causes incomplete storage and data loss
Solution Approach 1:
The patent introduces a message queue as an intermediary component between log data generation and storage. The message queue decouples the high-speed log generation from the file system storage, acting as a buffer that absorbs resource contention. Log data is first published to the message queue by the container, then consumed and stored by the file system at its own pace, eliminating direct contention while ensuring complete storage.
2Quantity of substance
If multiple containers generate log data simultaneously, then log data collection coverage is improved, but resource contention increases causing storage failures
Solution Approach 1:
The message queue serves as a centralized intermediary that handles log data from multiple containers simultaneously. Each container publishes its log data to the message queue independently without interfering with others. The file system consumes data from the message queue at a controlled rate, ensuring that increased log volume from multiple containers does not translate to increased contention or storage failures.
3Reliability
If log data is cached in a message queue before storage, then resource contention is reduced, but system complexity increases
Solution Approach 1:
The message queue component performs multiple functions within a single system element: it acts as a buffer to manage data flow, a queue to organize log data from multiple sources, and a decoupling mechanism between production and consumption. This multi-functionality reduces the need for additional separate components, thereby limiting the increase in system complexity while achieving reliable log data storage.
Data Source
AI summary
A log data collection method, a log data collection device, a storage medium, and a log data collection system are provided. The log data collection method includes: acquiring log data generated by at least one container in an application container environment; transmitting the log data to a log cache unit for cache; and allowing a log collection unit to collect the log data cached in the log cache unit and transmit the log data to a log storage unit for storage.