Fire AI:
Migrating a Conversational BI Platform to Serverless AWS Architecture
Large-scale migration and infrastructure automation moving Fire AI from legacy on-prem systems to a serverless, event-driven AWS architecture.
The Project Overview
Legacy Infrastructure Limitations
Fire AI's conversational business intelligence platform was running on legacy on-premises infrastructure that could not support real-time data ingestion or deliver the sub-second query latency required for a modern BI experience. Migrating a live production platform without disrupting users or compromising data integrity required careful planning across multiple AWS accounts and deployment environments.
Security and Observability
Beyond the migration itself, the client required enterprise-grade security standards and complete observability to be built into the infrastructure from day one rather than added after deployment.
Event-Driven Serverless Architecture
Toadsters designed and implemented a real-time ingestion pipeline using AWS Lambda, EventBridge, and SQS to process events with sub-second latency and enterprise-grade reliability.
Infrastructure Automation
Infrastructure provisioning was fully automated using Terraform modules and AWS CloudFormation across multiple AWS accounts, eliminating manual configuration drift and ensuring consistent deployments.
CI/CD and Security
GitHub Actions and AWS CodePipeline automated deployments for serverless functions and microservices. IAM least-privilege policies, VPC isolation, and AWS KMS encryption were implemented to enforce security best practices across every environment.
Enterprise Architecture
Built with modern, scalable technologies designed for high-throughput data pipelines and robust orchestration.
Measurable Success
Real-Time Serverless Processing: The platform now delivers sub-second latency for real-time data ingestion and conversational analytics using a fully event-driven AWS architecture.
Automated Cloud Infrastructure: Infrastructure provisioning is fully automated using Infrastructure as Code, ensuring repeatable deployments and eliminating configuration drift across environments.
Enterprise Security & Observability: IAM policies, VPC isolation, KMS encryption, CloudWatch, ELK, Prometheus, and Grafana provide secure, highly observable infrastructure with proactive monitoring.
"The migration wasn't just a lift-and-shift - Toadsters rebuilt our infrastructure to be event-driven from the ground up, and the latency improvement was immediately visible to our users."
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