Archium is a Software as a Service (SaaS platform designed to provide agile teams with a comprehensive service catalog and architecture knowledge base for building and operating distributed systems and microservices. By leveraging existing distributed tracing data, Archium automatically generates interactive architecture models, offering detailed insights into service interactions and data flows. This enables developers to visualize system operations, identify hidden risks, and make informed design decisions, ultimately enhancing system reliability and performance.
Key Features and Functionality:
- Automated Architecture Modeling: Transforms distributed tracing data into detailed, interactive architecture diagrams, providing a clear view of system components and their interactions.
- Data Flow Visualization: Offers comprehensive visualization of data flows within the system, allowing teams to understand how data moves and where potential bottlenecks or failures may occur.
- Service Catalog Organization: Maintains an up-to-date service catalog, organizing APIs and functions to facilitate efficient management and documentation of microservices.
- Risk Identification: Detects hidden failure modes and vulnerabilities within the system, enabling proactive measures to enhance resilience and reliability.
- Onboarding Support: Provides detailed, automatically generated diagrams and documentation to accelerate the onboarding process for new engineers, ensuring they quickly understand the system architecture.
Primary Value and Problem Solved:
Archium addresses the complexity inherent in managing and understanding distributed systems and microservices architectures. By automatically generating interactive architecture models from existing tracing data, it eliminates the need for manual documentation and diagramming, reducing the risk of outdated or inaccurate information. This empowers development and operations teams to make informed decisions, identify and mitigate potential risks, and maintain a clear, up-to-date understanding of their system's architecture, leading to improved system reliability, performance, and team efficiency.
