Deploying Dagster on AWS: A Production-Ready Guide
A comprehensive walkthrough of running Dagster on ECS Fargate with RDS, ALB, and Terraform. Lessons learned from real production deployments.
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Manual ETL processes taking 8+ hours daily with frequent failures.
Built an automated Dagster pipeline with AWS Glue and S3, reducing processing time to 45 minutes.
95% reduction in processing time, zero manual interventions.
Fragmented data across 5 platforms with no unified analytics view.
Designed a star-schema data warehouse on Redshift with dbt transformations and a Metabase dashboard.
Single source of truth for C-suite reporting, deployed in 6 weeks.
High-volume document processing done entirely by hand — 200+ PDFs/day.
AI-powered document extraction using Claude API with structured output validation and auto-routing.
Processed 200+ documents/day automatically with 98% accuracy.
In-depth articles on data engineering, cloud architecture, and practical AI.
A comprehensive walkthrough of running Dagster on ECS Fargate with RDS, ALB, and Terraform. Lessons learned from real production deployments.
Read article →Active contributor to Dagster, the open-source data orchestration platform. Contributions include documentation improvements, bug fixes, and feature discussions.
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