The plan: 1. Plugin code is not used: -> remove bad plugin and all its references 2. Plugin code is used, but in one place for one specific reason: -> check that 'reason' is not deprecated (e.g. nobody needs it now) -> remove bad plugin -> check if that 'reason' can be rewritten with your own code -> rewrite as needed -> test -> remove bad plugin -> check are there alternatives available ->use new plugin -> test -> remove bad plugin 3. Plugin is heavily used across the project -> contact author -> request help | update | suggest MR -> author can not be contacted -> consider alternatives -> test -> remove bad plugin -> author can not be contacted -> no alternatives -> rewrite -> test -> remove bad plugin

?? Plugin Needed: Optimize the plugin configuration to reduce its impact and explore caching or lazy loading options. ?? Plugin Not Needed Anymore: Remove the plugin to eliminate unnecessary resource usage and improve app performance. ?? Plugin Can Be Replaced with Custom Solution: Develop a lightweight, tailored solution to meet the specific needs of the app more efficiently. ?? Plugin Needs to Update: Update the plugin to the latest version to ensure compatibility, performance enhancements, and security fixes.

Use performance monitoring tools to pinpoint the exact plugin causing the issue. Ensure the plugin is up-to-date, as updates often include performance improvements and bug fixes. Review the plugin’s settings to see if there are any options to reduce its impact on performance. Ensure Regular Monitoring and Testing. Lazy loading for non-critical resources and asynchronous loading for scripts. Consider developing a custom solution tailored to your specific needs.

When a third-party plugin slows down performance, first isolate its impact through detailed staging tests. Limit its usage to essential features and implement caching to reduce redundant calls. Restrict its resource consumption to prevent contention with core app functionalities. Introduce a circuit breaker to handle failures gracefully and maintain system stability. Simultaneously, evaluate modular alternatives or consider building an in-house solution to reduce long-term dependency risks, ensuring both immediate recovery and sustainable performance.