For DevOps and SRE teams, Infrastructure as Code (IaC) has been a game-changer, enabling consistency, automation, and reliability with tools like Terraform, Pulumi, and CloudFormation. But in the world of data, we’re still far behind. Too many pipelines are still managed through dashboards, with no version control, no rollback, and no drift detection. 👉 That’s about to change. AI is forcing and enabling data infrastructure to become IaC. Why? Because AI agents can only configure, debug, and heal environments if those environments are machine-readable. Learn how in our latest blog post: https://bit.ly/4h90LmJ
🚀 AI will finally push data infrastructure toward “Infrastructure as Code.” DevOps has been there for years — Terraform, Pulumi, CloudFormation. But in data? Most pipelines are still held together by disparate tools UX and/or code That’s about to change. AI won’t just analyze your data — it will build and manage your data stack. Imagine saying: “Ingest my Salesforce accounts into Snowflake every 6 hours” and AI just… does it — safely, versioned, observable. This shift will start with Data Infrastructure "managed as code". Because AI can’t reason with a UX as well as it can reason with YAML. 👇 Blog in comment It’s about why AI will force data infrastructure to become declarative — and what that means for every data engineer and platform team.