Sold by: Ironside
A service to design and build modern, governed AWS platforms unifying data for generative AI, machine learning, and enterprise reporting to deliver fast ROI and rapid scalability. Implementing AWS Well-Architected strategies and serverless solutions, Ironside will create secure, cost-optimized environments while seamlessly moving, integrating, and transforming data across SaaS and on-premise applications into clean pipelines that power AI and analytics.
Overview
AI models are only as good as the data behind them. Ironside's data engineering practice builds modern AWS data platforms designed to serve machine learning, generative AI, and enterprise analytics from a single governed foundation. Every engagement is scoped to the client's priorities: Ironside identifies a high value use case, proves return on investment through a rapid proof of concept, and scales the architecture as additional workloads come online.
Engagements can span the full build lifecycle. Discovery maps existing data sources and defines a target analytic data model. Design architects a serverless pipeline leveraging services such as Amazon Kinesis, AWS Glue, AWS Lambda, and Amazon S3 with a medallion architecture separating raw, curated, and consumption ready layers. Build deploys infrastructure using repeatable accelerators for data warehouse automation, change data capture, and multi source integration. Target analytic stores are selected based on workload requirements and can include Amazon Redshift, S3 Tables with Apache Iceberg, Snowflake on AWS, or Amazon DynamoDB. AWS Lake Formation enforces governance across all layers, and the architecture is designed so AI workloads on Amazon Bedrock and Amazon SageMaker consume the same trusted data that powers Amazon Quick dashboards and operational reporting.
Highlights
- Flexible engagement scoped to client needs, from a single use case proof of concept to a full platform build
- Medallion lakehouse architecture with governed analytic stores on Redshift, Iceberg, Snowflake, or DynamoDB - One governed data layer serving AI, BI, and operational analytics simultaneously
- In scenarios where reducing operational overhead, managing unpredictable traffic, or building event-driven systems are top priorities, serverless, real time and batch pipelines on AWS Lambda, Glue, Kinesis, and MSK that scale are the typical design choices
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For inquiries: GetInsights@IronsideGroup.com