KLEVA
Latest (Apr. 2025)
Latest (Apr. 2025)
  • Introduction to Kleva AI
    • About Kleva AI
      • Core Philosophy
      • Unlocking Hidden Value with AI
      • 3S: Simple. Secure. Saving.
  • Social & Community Links
  • Brand Kit
  • Market Context
    • Economic Context & Emerging User Needs
    • Limitations of Traditional DeFi
    • DeFAI – Solving DeFi’s Gaps with AI
  • Platform Design
    • DeFi: Conventional vs. Kleva AI’s Perspective
    • The Future of Autonomous Asset Empowerment
    • Core Systems of Kleva AI
      • 1: Autonomous Economy with Social Assets
      • 2: Referral Incentive Finance
      • 3: Onchain Incentive
  • Strategy & Business
    • Business Plan
      • Business Goals & Metrics
      • Target User Segments – Two Core Groups
  • Product Design
    • Functional Requirements
    • Product Features: Leveraging Invisible Assets
  • Technology Stack
    • Platform Architecture
      • Application & Interface Layer
      • Domain Service Layer
      • Platform Service Layer
        • Core
        • External Data Hub
        • Web3 Engine
        • Common Infra Service
      • Infra Layer
    • Key Features of Agent Runtime
      • Deployment & Model Management Framework
      • Security and Reliability Features
  • Tokenomics
    • KLEVA Token Design
      • Historical Tokenomics
      • Distribution Breakdown
  • Roadmap & Community
    • Roadmap & Timeline
      • KLEVA Protocol Era – Pre-Acquisition ('21~'24)
      • 2025–2026 Milestones
      • Community Engagement Timeline
  • Entity
  • Core Team
  • Vision
  • Commitment to the Future
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  1. Technology Stack
  2. Platform Architecture

Infra Layer

A component that provides the foundational infrastructure required to deploy, operate, and scale cloud-native, microservices-based applications. It consists of the following sub-modules:

  • Kubernetes The primary orchestration solution used to deploy and manage containerized services in a modern cloud-native environment. It enables scalable and resilient management of multiple microservices across the platform.

  • Database Includes a variety of data storage solutions such as RDBMS, NoSQL databases, object storage, and columnar databases, tailored to meet different data access patterns and performance needs.

  • Workflow Engine An open-source orchestration engine that coordinates workflows and their underlying tasks in response to user requests. It supports the definition of input/output data types, chaining of task units through logical conditions, and includes features such as version control, timeout handling, and retry policies.

  • Message Broker A distributed messaging system, such as Kafka, used to ensure asynchronous communication and data streaming between services in a decoupled manner.

  • Cloud Infrastructure General-purpose Infrastructure-as-a-Service (IaaS) components provided by cloud vendors, including VPCs, subnets, routing, virtual machines, DNS, and other core networking and compute services.

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Last updated 19 days ago