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Optimize Mule Flows for Security and Performance

In this video, I demonstrate how to review and optimize your Mule flows for security, performance, and reliability using an automated analysis workflow. This process helps you quickly detect vulnerabilities, identify performance bottlenecks, and get clear recommendations to improve your Mule applications—all in just a few minutes. You’ll see how the system: Connects to your Mule repository Performs a full security and performance review Detects hardcoded credentials and token exposure Flags unsafe logging and sensitive data risks Recommends secure property placeholders and masking Identifies duplicate flows and suggests consolidation Highlights redundant logic and unnecessary complexity Suggests performance improvements like connection pooling, exponential backoff, and optimized transformations The analysis also provides a clean summary of all critical actions—encrypting credentials, merging duplicate flows, improving retries, and cleaning logger statements. Once you review the findings, you can automatically implement the improvements through an AI-generated task. This turns hours of manual code review into a fast, guided, and reliable maintenance process. mule flow optimization, mule security review, mule performance tuning, maintain mule flows, mule code review, mule soft best practices, mule vulnerabilities, mule performance issues, improve mule flows, integration optimization, mule refactoring, mule soft maintenance, secure mule flows, mule performance improvements #MuleSoft #Mule4 #Security #Performance #Maintain #Integration