egegisasa

Chapter 1: Core Concepts

Dive into the foundational architecture and principles that define the egegisasa framework. This chapter introduces system design patterns, runtime behavior, and integration capabilities.

System Architecture

egegisasa follows a modular microservices architecture with three primary layers:

  1. API Layer REST/gRPC endpoints with JSON-LD output
  2. Execution Engine Distributed task scheduler with WebAssembly sandboxing
  3. Persistence Layer Graph database with temporal versioning

Key Features

Atomic Transactions

All operations are ACID-compliant with built-in rollback capabilities. Transactions are automatically versioned for auditability.

Cross-Runtime Support

Execute code natively in Rust, Go, or JavaScript with transparent interoperability. All runtimes share a unified memory space.

Observability Framework

Built-in distributed tracing and metrics collection with automatic correlation IDs. All events are logged to a persistent audit trail.

Example Usage


// Example of task execution
const taskResult = await executeTask({
  runtime: 'javascript',
  code: `
    function handleInput(data) {
      // Process input
      return {
        status: 'success',
        result: data.value * 2
      };
    }
  `,
  input: { value: 5 }
});

console.log(taskResult.status);

Input Type
JSON
Execution Time
< 50ms
Memory Usage
128MB

What's Next?

In Chapter 1.2 we'll explore the framework's deployment model and how to configure different runtime environments.
Continue to Chapter 1.2