Spring Boot Starter Actuator's performance optimization skills

Spring Boot Starter Actuator's performance optimization skills Overview: Spring Boot Starter Actuator is a module for monitoring and managing Spring Boot applications.It provides many useful functions, such as viewing the various indicators, health status, running information, etc. through the RESTFUL interface.However, in some cases, Actuator may have some negative effects on the performance of the application.This article will introduce some performance optimization techniques to reduce the impact of the corresponding performance of Actuator. 1. Disable unnecessary endpoints: Spring Boot Actuator provides many Endpoints for various information for disclosed applications.However, not all Endpoints are helpful to optimize the performance of the application.In the production environment, some unnecessary EndPoints should be disabled to reduce the impact of the corresponding performance of the Actuator.By configured files or code, you can selectively open or close the desired Endpoints. Example code: In the configuration file (Application.properties or Application.yml), add the following configuration to disable unnecessary Endpoints: management.endpoints.enabled-by-default=false management.endpoint.health.enabled=true management.endpoint.info.enabled=true In the above examples, all Endpoints that are enabled by default are disabled, and only Health and Info Endpoints are opened. 2. Configure Endpoint Cache: By default, Actuator Endpoints does not cache.Because Actuator provides index data in synchronization, frequent calling Endpoints may have a great impact on application performance.To reduce the overhead of Endpoints each time, the cache can be enabled by Endpoints. Example code: Add the following configuration to the configuration file to open the cache of the Actuator Endpoints: management.endpoint.<endpoint-id>.cache.time-to-live=10000 In the above example, `Endpoint-Id>` refers to the identifier of the specific Endpoint.By configured the appropriate cache time for each Endpoint, unnecessary requests can be reduced and the performance of the application can be improved. 3. Limit the return of the indicator data: Actuator provides rich indicators, including memory use, thread pool status, etc.However, by default, the indicator data may be complete, which may lead to a huge amount of data and a negative impact on the corresponding performance.In order to limit the return of the indicator data, the endpoint of the Actuator can be configured. Example code: Add the following configuration to the configuration file to limit the amount of indicator data: management.metrics.export.defaults.max-samples=10000 In the above example, the number of returned samples of each indicator is limited to 100,000.By setting appropriately `Max-Samples`, the amount of returning data can be reduced, thereby improving the performance of the application. Summarize: By disabling unnecessary Endpoints, configuration Endpoint cache, and restricting the amount of index data, it can reduce the impact of Spring Boot Starter Actuator.According to the actual situation, the configuration can be configured according to the above techniques, so as to maximize the performance and response ability of the application.