From semantic understanding to production deployment, StackAgent provides a complete toolkit for building and scaling intelligent agent systems on AWS infrastructure.
Our LLM-powered core that transforms ambiguous requirements into precise infrastructure
Describe your agent requirements in plain English. Our semantic engine powered by Amazon Bedrock interprets your intent and generates optimal infrastructure configurations automatically.
# User Input: "Deploy a RAG agent that can process 10K documents with real-time responses" # StackAgent Output: → EC2 p4d.24xlarge × 2 (inference) → OpenSearch 3-node cluster → Lambda for API gateway → S3 bucket for document storage
Advanced NLU capabilities detect implicit requirements from your descriptions. When you say "fast responses," we understand latency SLAs. When you mention "scale," we configure auto-scaling policies.
Receive intelligent suggestions based on your use case. Our system learns from thousands of deployments to recommend best practices and cost-optimized configurations.
Conversationally refine your deployment specs. Ask follow-up questions, adjust parameters, and watch your infrastructure evolve in real-time through dialogue.
Intelligent infrastructure provisioning that adapts to your workload patterns
Automatic selection of optimal GPU instances (p4d, p5, g5) based on model size, batch requirements, and budget constraints. Supports multi-GPU and distributed training setups.
Automated VPC configuration with security groups, subnets, and load balancers. Optimized for low-latency inference with direct GPU-to-GPU communication paths.
Intelligent data tiering across S3, EBS, and instance storage. Automatic optimization for training data access patterns and checkpoint management.
Pre-configured IAM roles, encryption at rest/transit, and network isolation. Compliance-ready setups for HIPAA, SOC2, and GDPR requirements.
Secure secrets management with AWS Secrets Manager integration. Auto-injection of credentials, API keys, and configuration parameters into your agents.
Automatically generates Terraform/CloudFormation templates for full reproducibility. Version control your infrastructure alongside your agent code.
From development to production in minutes, not weeks
Launch complete agent environments in under 5 minutes. Pre-warmed container pools and optimized AMIs eliminate cold start delays.
Native integration with GitHub, GitLab, and Bitbucket. Automatic builds, tests, and deployments on every commit with customizable pipelines.
Zero-downtime updates with instant rollback capability. A/B testing support for gradual rollout of new agent versions.
Seamless promotion across dev, staging, and production environments. Environment-specific configurations with shared infrastructure templates.
Intelligent observability and auto-scaling for AI workloads
Track latency percentiles, throughput, token usage, and model performance in real-time. Custom dashboards with CloudWatch integration.
ML-based traffic prediction for proactive scaling. Anticipate demand spikes and pre-provision resources before they're needed.
Automatic detection of performance degradation, error rate spikes, and unusual patterns. Instant alerts via Slack, PagerDuty, or email.
Detailed cost breakdown by agent, endpoint, and resource type. Optimization recommendations to reduce spend while maintaining performance.
End-to-end request tracing with X-Ray integration. Visualize agent execution flows and identify bottlenecks across distributed systems.
Deep visibility into GPU memory, compute utilization, and thermal status. Optimize batch sizes and model loading for maximum efficiency.
Built for production workloads with enterprise requirements
SAML 2.0 and OIDC support for enterprise identity providers. Okta, Azure AD, and Google Workspace ready.
Role-based access control with granular permissions. Organize teams, projects, and resource quotas.
SOC 2 Type II certified. HIPAA, GDPR, and PCI-DSS compliant infrastructure options available.