Final Exam: Performance Engineering Practices for Software Development

WHAT YOU WILL LEARN

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  Define scalability and compare performance with scalability
  

  describe the factors that affect application performance
  

  describe the metrics used to measure application performance
  

  describe the metrics used to measure database performance
  

  compare some popular tools for application performance monitoring
  

  compare some popular tools for database performance monitoring
  

  define performance monitoring and describe the process monitoring process and the objectives of process monitoring
  

  compare performance monitoring to performance engineering and describe how performance monitoring fits into the performance engineering paradigm
  

  identify application performance monitoring and describe its purpose and common metrics for apm
  

  define application performance monitoring and describe its purpose and common metrics for apm
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  describe best practices when optimizing code, including avoidance of premature code optimization when appropriate
  

  describe the role of heap dumps in optimizing software for performance
  

  describe the role of memory management in optimizing systems for performance and briefly introduce the concept of garbage collection, heap dumps, and thread management
  

  identify best practices when optimizing code, including avoidance of premature code optimization when appropriate
  

  describe how to code optimization and refactoring lead to improved performance and describe some techniques for optimizing code
  

  optimize a mysql table using indexes
  

  compare database optimization tools from several vendors
  

  describe techniques and best practices for performance tuning
  

  describe strategies for optimizing database performance
  

  describe the ways you can optimize sql commands, using mysql as an example, noting the role of the query optimizer, relating to the primary factors of database performance