AGate LLM Gateway on AWS

Approach

Adastra deploys the AGate platform directly into the client’s AWS tenant, ensuring all data, model interactions, and logs remain within the customer’s controlled environment. AGate integrates with Amazon Bedrock and other supported LLM providers, enabling centralized governance across multi-model and hybrid AI strategies.

The engagement focuses on configuring the pre-built AGate platform to align with the client’s security policies, identity model, compliance requirements, and operational standards. No custom gateway development is required — AGate is production-ready and purpose-built for enterprise GenAI control.

Activities

• Assess current GenAI workloads and governance requirements
• Deploy AGate into the customer’s AWS environment
• Configure integrations with Amazon Bedrock and additional LLM providers
• Set up centralized Admin Portal for role-based configuration and control
• Enable built-in monitoring dashboards for latency, usage, and success rates
• Configure audit trail logging and compliance controls
• Implement cost tracking and usage management policies
• Validate performance, failover behavior, and operational readiness

Deliverables

• Deployed AGate platform within the client’s AWS tenant
• Configured Admin Portal for centralized governance and access control
• Integrated multi-provider LLM routing and management
• Monitoring dashboards (including Grafana-based observability views)
• Enabled audit logging and usage traceability
• Configured cost visibility and usage control mechanisms
• Documentation and operational handover

Outcomes

• Enterprise-grade GenAI governance across Bedrock and other LLMs
• Secure deployment with data residency and tenant isolation
• Real-time visibility into model usage, latency, and reliability
• Controlled AI spend with enforceable usage policies
• Reduced compliance risk through built-in auditability
• Faster transition from pilot use cases to scalable production