AGENTIC STAR
ソフトバンク株式会社_法人事業 · Operations & Productivity
Certification per Microsoft Marketplace.
Evidence tier Source Confirmed · 9 captures on record
What the publisher says
As described on Microsoft Marketplace.
Overview
AGENTIC STAR is a comprehensive AI Agent platform delivered as an Azure Managed Application.
Show the rest of the publisher’s description (33 more lines)
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.
Preview
4 images
Agent build and provenance
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Sources
Publisher resources
2 linksLinked repositories
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