PR-CYBR-PERFORMANCE-AGENT

PR-CYBR-PERFORMANCE-AGENT

Overview

The PR-CYBR-PERFORMANCE-AGENT is designed to monitor, analyze, and optimize the performance of the PR-CYBR ecosystem. It ensures that all systems, applications, and processes run efficiently under various workloads.

Key Features

• Performance Monitoring: Tracks key performance indicators (KPIs) across all agents and systems.
• Load Testing: Simulates heavy workloads to evaluate system robustness and scalability.
• Optimization Recommendations: Provides actionable insights to enhance performance based on collected data.
• Alerting and Reporting: Sends alerts for performance anomalies and generates detailed reports.
• Resource Efficiency: Identifies areas to reduce resource usage without compromising performance.

Getting Started

Prerequisites

• Git: For cloning the repository.
• Python 3.8+: Required for running scripts.
• Docker: Required for containerization and deployment.
• Access to GitHub Actions: For automated workflows.

Local Setup

To set up the PR-CYBR-PERFORMANCE-AGENT locally on your machine:

1. Clone the Repository

git clone https://github.com/PR-CYBR/PR-CYBR-PERFORMANCE-AGENT.git
cd PR-CYBR-PERFORMANCE-AGENT

1. Run Local Setup Script

./scripts/local_setup.sh

This script will install necessary dependencies and set up the local environment.

1. Provision the Agent

./scripts/provision_agent.sh

This script configures the agent with default settings for local development.

Cloud Deployment

To deploy the agent to a cloud environment:

1. Configure Repository Secrets

• Navigate to Settings > Secrets and variables > Actions in your GitHub repository.
• Add the required secrets:
  • CLOUD_API_KEY
  • DOCKERHUB_USERNAME
  • DOCKERHUB_PASSWORD
• Any other cloud-specific credentials.

1. Deploy Using GitHub Actions

• The deployment workflow is defined in .github/workflows/docker-compose.yml.
• Push changes to the main branch to trigger the deployment workflow automatically.

1. Manual Deployment

• Use the deployment script for manual deployment:

./scripts/deploy_agent.sh

• Ensure you have Docker and cloud CLI tools installed and configured on your machine.

Integration

The PR-CYBR-PERFORMANCE-AGENT integrates with other PR-CYBR agents to monitor and optimize performance across the ecosystem. It communicates with agents like PR-CYBR-BACKEND-AGENT, PR-CYBR-FRONTEND-AGENT, and PR-CYBR-INFRASTRUCTURE-AGENT to collect performance data and provide optimization recommendations.

Usage

• Development • Start the performance monitoring tools:

python setup.py develop

• Configure monitoring parameters in the config/ directory.

• Testing • Run performance tests:

python -m unittest discover tests

• Building for Production • Build the agent for production use:

python setup.py install

License

This project is licensed under the MIT License. See the LICENSE file for details.

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For more information, refer to the PR-CYBR Documentation or contact the PR-CYBR team.

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