It includes metrics, logging, and call chain tracing. Metrics are mainly statistics on monitoring indicators of the operating status of the underlying basic resources of the system. Through multi-dimensional aggregation analysis, it helps to issue warnings when certain indicators reach risk thresholds, monitor and visualize the health status of the system, etc. Logging is the log data continuously output when the application is running. These logs can help analyze the key events of the system and sort out the system behavior.
Tracing records the call links within the life cycle of an event in the system to help locate the root cause and analyze the system failure point. Moreover, the data of these three dimensions are not independent of each other. There is often a certain overlap, and they can be combined to provide rich observability capabilities.
So what is the significance of developing observability based on the japan mobile phone number list above three dimensions? What benefits does it bring to cloud native systems?
• Improve system stability: quickly discover and solve system problems
• Optimize performance: Deep observability insights help identify performance bottlenecks
• Reduce operation and maintenance costs: Reduce manual intervention through automated and intelligent monitoring
• Support rapid iteration: Rapid iteration of cloud-native applications requires rapid response and problem handling
• Improved security: Observability helps identify and respond to security threats by monitoring and analyzing security logs
With the advent of the cloud-native era, the storage and analysis of observability data have become challenges
Next, we will analyze the business data characteristics in detail based on the indicator data and what challenges it will face at the storage and analysis levels.
First of all, a simple indicator data is generally composed of several most important parts. For example, a device monitoring indicator includes multiple monitoring indicators, that is, the field column here includes signal route status, device operation status, error code, total operation time, etc., as well as the indicator collection time time column, and some attributes of the collection object, such as the tag column here includes device code and product code. It can be considered that the field column changes with time, and the tag does not change with time. Monitoring data is collected from the cloud to the observability platform, including indicators, logs, and call chains.