Architecture

Bitaic's architecture is designed to provide efficient, scalable, and secure infrastructure monitoring for cloud, on-premises, and hybrid environments. This page outlines the core components of Bitaic, the flow of data within the system, and how the platform is built for high performance and security.

Core Components

Bitaic is composed of several key components that work together to collect, process, and visualize monitoring data in real time. Here's an overview of each:

  1. Monitoring Agents:
    • Lightweight agents deployed on servers, endpoints, and cloud environments to collect data.
    • The unified agent is capable of multiple specialized tasks, such as Endpoint Monitoring, Health Monitoring, Process Monitoring, etc.
    • Designed to have minimal impact on system resources, ensuring continuous monitoring without degrading performance.
  2. Bitaic CLI:
    • A command-line interface for interacting with Bitaic, configuring agents, viewing metrics, and performing diagnostics.
    • Supports integration with scripts and DevOps pipelines, allowing users to automate tasks and monitor infrastructure directly from the terminal.
  3. Bitaic App:
    • A centralized, web-based interface for viewing and managing all monitoring data.
    • Customizable dashboards and widgets provide real-time and historical insights into infrastructure performance.
    • Allows configuration of alerts, thresholds, and notification settings, providing flexibility for different monitoring needs.
  4. Data Processing Layer:
    • Bitaic's proprietary data processing engine processes incoming data from agents in real time, enabling fast data visualization and alerting.
    • Optimized for low-latency, high-volume data handling, allowing large-scale infrastructures to monitor without delays.
  5. API:
    • Provides programmatic access to Bitaic's monitoring data and configuration options.
    • Allows integration with external systems, such as alerting platforms, third-party dashboards, and automation tools.
    • Supports RESTful requests to retrieve metrics, configure settings, and interact with agents.

Data Flow and Processing

Bitaic's data flow is designed for efficiency and reliability, ensuring that monitoring data is quickly collected, processed, and presented to users.

  1. Data Collection:
    • Monitoring agents deployed on endpoints, servers, and cloud environments collect metrics such as CPU usage, memory, network traffic, certificate status, and uptime.
    • Data collection is optimized to minimize impact on the monitored systems, with configurable intervals for metrics gathering.
  2. Data Transmission:
    • Collected data is securely transmitted to Bitaic's processing layer over encrypted channels, protecting information in transit.
    • TLS encryption ensures data integrity and prevents interception.
  3. Data Processing:
    • Bitaic's data processing engine aggregates, analyzes, and formats the data for visualization and alerting.
    • Real-time data is filtered based on user-defined thresholds to trigger alerts for critical metrics.
    • Aggregated data is stored for historical analysis, enabling trend tracking and performance benchmarking.
  4. Data Visualization and Alerts:
    • Processed data is displayed In the Bitaic App, where users can view real-time metrics, set alert thresholds, and receive notifications.
    • The dashboard supports historical views, allowing users to analyze trends and gain insights over time.

Scalability and Performance

Bitaic is designed to scale seamlessly, allowing it to handle both small and large infrastructures without a loss in performance.

  • Horizontal Scalability: The architecture supports scaling out by adding additional processing nodes as needed to manage growing data volumes and infrastructure complexity.
  • High Availability: The platform is built with fault tolerance to ensure continuous monitoring, even during maintenance or system interruptions.
  • Low Latency: Data is processed in near real-time, allowing alerts and visualizations to remain up-to-date and actionable.
  • Load Balancing: Traffic from monitoring agents is automatically load-balanced to ensure efficient data processing and to prevent bottlenecks in high-demand environments.

Security by Design

Bitaic's architecture includes robust security measures to protect user data and ensure system integrity.

  1. Encryption:
    • All data is encrypted both at rest and in transit, safeguarding information from unauthorized access.
    • AES-256 encryption is used for stored data, while TLS encryption is applied to data transmission.
  2. Role-Based Access Control (RBAC):
    • Permissions are managed through role-based access control, allowing organizations to set user roles and restrict access to specific data or actions.
    • Supports customizable roles for more granular control over who can view, modify, or manage different aspects of the platform.
  3. Auditing and Logging:
    • Comprehensive audit logs track actions performed by users and agents, ensuring accountability and transparency.
    • Logs include time-stamped records of access, configuration changes, and monitoring events, enabling admins to trace activities and detect anomalies.
  4. Session Management:
    • User sessions are managed to enforce secure login practices, with configurable session timeouts and login tracking to prevent unauthorized access.
    • Support for two-factor authentication (2FA) can be enabled to enhance security.