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AGENTIC STAR

por ソフトバンク株式会社_法人事業

Deploy AI agent platform with AKS, PostgreSQL, monitoring in minutes. One-click managed app.


Overview

AGENTIC STAR is a comprehensive AI Agent platform delivered as an Azure Managed Application.
Deploy a full-stack environment to build, manage, and run AI agents — with monitoring, logging,
and enterprise security built in. No infrastructure setup required.


Key Features

  • One-Click Deployment – Provisions AKS, PostgreSQL, Storage, and 20 microservices automatically via ARM template
  • AI-Ready Data Stack – Qdrant (vector DB), PostgreSQL with pgvector for embeddings
  • Content Safety & PII Detection – Azure AI Services integration for content filtering and personal information detection
  • LibreChat UI – Web interface for chat, agent configuration, and team management
  • Full Observability – Prometheus, Grafana, Loki, Alloy, Container Insights, Log Analytics Workspace
  • Enterprise Security – Azure Managed Identity, VNet-integrated networking, Keycloak authentication, NGINX Ingress
  • LLM Flexibility – Connects to Azure OpenAI
  • Datadog Integration (Optional) – Built-in Datadog support for APM and monitoring

    • What Gets Deployed

    Azure Infrastructure:

    • Azure Kubernetes Service (AKS) with Azure CNI Overlay
    • PostgreSQL Flexible Server with pgvector extension (Zone-Redundant HA)
    • Azure AI Services (Content Safety, PII detection)
    • Private and Public Storage Accounts
    • Virtual Network with AKS subnet and Network Security Group
    • User Assigned Managed Identity with RBAC
    • Log Analytics Workspace with Data Collection Rules (Container Insights)

      • Kubernetes Applications (20 services):

      • AGENTIC STAR Executor, AGENTIC STAR Admin
      • AGENTIC STAR FRONT, AGENTIC STAR Auth (Keycloak)
      • Qdrant
      • Prometheus, Grafana, Loki, Alloy (Logs + Metrics), K8s Monitoring, AgenticAI Observability
      • NGINX Ingress, cert-manager, External Auth, Gate Services
      • DB Migration, Init Platform, PVC Lifecycle Manager, AgenticAI Datadog

        • Prerequisites

        • Azure subscription with Owner or Contributor role
        • Minimum 32 vCPUs quota for AKS (Standard Ddsv4 family) + 8 vCPUs for PostgreSQL
        • LLM endpoint: Azure OpenAI (required), AWS Bedrock (optional)

          • Support

          Contact SoftBank Corp. for deployment support, documentation, and updates.



          De un vistazo

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