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
Powered by GitBook
On this page
  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.

PreviousCommon Infra ServiceNextKey Features of Agent Runtime

Last updated 28 days ago