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https://github.com/amponsemmichael/performance-optimization
Apply performance optimization techniques to improve application speed.
https://github.com/amponsemmichael/performance-optimization
12-factor-app performance-analysis performance-optimization profiling
Last synced: 24 days ago
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Apply performance optimization techniques to improve application speed.
- Host: GitHub
- URL: https://github.com/amponsemmichael/performance-optimization
- Owner: amponsemmichael
- Created: 2024-09-12T14:07:10.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2024-09-13T11:27:26.000Z (3 months ago)
- Last Synced: 2024-09-13T23:54:21.596Z (3 months ago)
- Topics: 12-factor-app, performance-analysis, performance-optimization, profiling
- Language: Java
- Homepage:
- Size: 160 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# CountEvents Performance Optimization Project
## Overview
This project demonstrates the process of identifying and resolving performance bottlenecks in a Java application. We take a simple event counting program and optimize it for better performance while adhering to 12-factor app principles.
## Objectives
- Identify common performance bottlenecks in Java code
- Apply profiling techniques to pinpoint issues
- Implement optimization strategies to improve application speed
- Demonstrate adherence to 12-factor app methodology
## Repository Contents
- `src/main/java/EventCounter.java`: Original version of the application
- `src/main/java/OptimizedCountEvents.java`: Optimized version of the application
- `profiling_results/`: Directory containing profiling data and analysis
- `docs/performance_report.pdf`: Detailed report on optimization process and results
## Getting Started
### Prerequisites
- Java Development Kit (JDK) 11 or higher
- VisualVM (for profiling)
### Running the Application
1. Compile the Java files:
```
javac src/main/java/*.java
```
2. Run the original version:
```
java -cp src/main/java CountEvents
```
3. Run the optimized version:
```
java -cp src/main/java OptimizedCountEvents
```
## Profiling
To profile the application using VisualVM:
1. Start VisualVM
2. Run the application with the following command:
```
java -Dcom.sun.management.jmxremote -cp src/main/java CountEvents
```
3. In VisualVM, select the running CountEvents application
4. Use the CPU and Memory profiler to analyze performance
## Optimization Process
1. **Identify Bottlenecks**: Used VisualVM to profile CPU and memory usage
2. **Code Analysis**: Reviewed code for potential improvements
3. **Implement Optimizations**:
- Removed unnecessary file I/O operations
- Optimized memory usage by replacing large arrays with running sums
- Improved time calculations
- Enhanced event tracking logic
4. **Verify Improvements**: Re-profiled the optimized code to confirm performance gains
## Key Findings
- Significant reduction in CPU usage
- Decreased memory allocation
- Improved overall execution time
- Better adherence to 12-factor app principles
## 12-Factor App Compliance
This project demonstrates several 12-factor app principles:
- Config: Use of environment variables for configuration
- Processes: Stateless and share-nothing architecture
- Disposability: Fast startup and graceful shutdown
- Logs: Output to stdout instead of log files
## Further Improvements
- Implement dependency management (e.g., Maven or Gradle)
- Set up CI/CD pipeline for automated testing and deployment
- Containerize the application for better dev/prod parity
## Contributing
I welcome contributions! Please feel free to submit a Pull Request.
## License
This project is licensed under the MIT License - see the [LICENSE.md](LICENSE.md) file for details.