Why use Code Inventory® vs. static analyzers, profilers, or manual log-line insertions?

Traditional code analysis tools like profilers and IDEs do not provide a complete view of the code used due to their static nature, lack context of what code is actually invoked in production over time, or are so manually-intensive they cannot practically be used in production settings . Static analyzers in IDE tools can only find trivial cases of unused and dead code such as private methods that are statically unreachable , and so do not scale to larger projects . Log-line insertions are manually time-intensive and typically do not result in 100% coverage, missing much of unused and dead code. Code Inventory® introduces no manual or performance overhead, detects what actually runs in production, and summarizes results across all JVMs over time to provide a true and accurate signal for confidently removing unused and dead code .

Will Code Inventory® extend to my third-party libraries?

Yes, but information about third-party librar ies is less actionable .

What granularity is used for storing and reporting the data?

Data from a ll JVMs consolidated to create a n aggregate d summary.

How is Code Inventory® priced and packaged?

Available now, Code Inventory ® requires no changes to Java applications and is included at no additional charge for Azul Intelligence Cloud customers.

How does the AI Assistant work?

The AI assistant has access to live production JVM data, enabling you to ask questions directly about the application code being run. By default, AI assistant makes use of Google Gemini, which has a daily token limit. Queries require tokens, which are reset each day.

Code Inventory®

Confidently Prioritize Dead and Unused Code for Removal with the Strongest, Most Accurate Signal

A feature of Azul Intelligence Cloud , Code Inventory® is a cloud service that uses information inside the Java Virtual Machine (JVM) to provide a comprehensive view of what code runs in production with no performance penalty. It lowers the burden from maintaining and testing unused and dead code.

Unremoved Unused and Dead Code Increases Maintenance Burden

A majority of software development is spent on maintenance. Maintaining unused and dead code wastes time and budget. Traditional tools like IDEs with static analyzers do not provide a complete view of the code used in production over time due to their static nature. Profilers are so overhead-intensive they cannot practically be used in production settings. Manually-intensive log line insertions provide only a partial view of unused and dead code.

Significant Reduction in Time Spent

Automatically finds what code runs, dramatically slashing the time to identify unused and dead code for removal by eliminating the time-intensive manual process of locating and validating unused and dead code.

Fully Accurate to the Method Level

Provides a comprehensive view across an enterprise’s Java workloads of what code runs over time down to the class/package and method level, providing a more accurate signal to confidently remove unused and dead code and reduce the risk of breaking the application.

Runs in Production, No Performance Penalty

Collects and aggregates detailed code information from inside the JVM without the performance penalty of traditional profilers, and provides production context IDEs lack.

Summarizes and Retains History

Code Inventory® collects data across all of an enterprise’s Java workloads and consolidates it to provide a history of when code was first and last run.

AI-assisted Insights

Rather than generating, updating and investigating reports, you can ask natural-language queries about live runtime data to pinpoint where unused and dead code lies, such as whether a class or method has been deprecated, whether a feature is still in use, what a 3rd-party library is used for, and more.

Code Inventory®

Accurately identify unused and dead code in production for removal, saving developer time and money.

Confidently Prioritize Dead and Unused Code for Removal with the Strongest, Most Accurate Signal

Unremoved Unused and Dead Code Increases Maintenance Burden