SamSaffron/memory_profiler
Memory Profiler
Memory Profiler is a diagnostic library for Ruby applications designed to monitor runtime memory consumption and object lifecycles. It provides tools to track object allocations and memory usage, enabling the identification of performance bottlenecks and potential memory leaks that affect software stability.
The tool functions by observing memory behavior during program execution, allowing developers to distinguish between short-lived data and objects that persist beyond their intended lifecycle. It captures the execution context of allocations by walking the call stack, which helps attribute memory usage to specific code paths. Additionally, the library scans the heap to identify redundant string instances, providing insights into opportunities for reducing memory footprints through object reuse.
Beyond basic tracking, the library generates detailed reports that summarize allocated and retained objects, categorized by file and class. These reports assist in analyzing memory growth patterns and optimizing resource usage within Ruby applications. The project is distributed as a library that integrates into the development environment to facilitate ongoing memory analysis.
Features
- Memory Profilers - Provides a diagnostic tool for tracking object allocations and memory usage to identify leaks and performance bottlenecks.
- Memory Allocation Tracers - Tracks object creation and memory usage during program execution to pinpoint performance bottlenecks and memory leaks.
- Ruby Memory Management - Analyzes and reduces the memory footprint of applications by identifying redundant objects and excessive allocations during runtime.
- Memory Leak Detection - Identifies long-term object retention and memory growth patterns to ensure application stability under sustained workloads.
- Performance Profilers - Tracks object creation and memory usage in real-time to pinpoint bottlenecks and leaks that degrade software stability.
- Runtime Call-Stack Capturers - Captures the execution context of each allocation by walking the call stack to identify the specific code path responsible.
- Memory Allocation Management - Creates detailed summaries of allocated and retained objects by tracking file-level attribution and class-specific data.
- String Deduplication - Scans the heap for identical string content to identify redundant memory usage caused by multiple instances of the same value.
- Heap String Duplication - Identifies redundant string objects in memory to reveal opportunities for reducing overall memory footprint.
- Allocation Tracers - Hooks into the language runtime to intercept every object creation event and record metadata about the allocation source.
- Memory Usage Analysis - Generates detailed reports on object retention and string duplication to optimize application memory footprint.
- Heap Snapshot Comparison - Compares heap snapshots at different execution points to isolate objects that persist beyond their intended lifecycle.
- Runtime Language Instrumentation - Injects monitoring logic into the language virtual machine to observe memory behavior without modifying application source code.
- Runtime Memory Monitors - Observes memory consumption patterns and object lifecycles during the execution of code.
