ETL Pipelines for AI: Streamlining Your Data
Building a powerful AI model without a solid data strategy is like constructing a skyscraper on a weak foundation. It doesn’t matter how impressive...
Top Databricks Alternatives for Modern AI Development in 2025
Databricks is a cloud-based data and AI platform designed to unify data engineering, data science, analytics, and machine learning workflows. Founded...
MLOps Pipeline Optimization: A Complete Guide
Getting a machine learning model (ML) from a data scientist's laptop into a live production environment is often a slow, manual, and frustrating...
Best Open-Source MLOps Tools to Build Your ML Stack
Machine learning (ML) is fundamentally a team sport, but too often, data scientists, engineers, and operations teams feel like they're playing...
Google Vertex Alternatives: Portability, Compliance, and Control
Google Vertex AI is Google Cloud’s fully managed AI and ML development platform. Launched in 2021, it consolidated services like AutoML, AI Platform,...
How to Build Scalable GenAI Infrastructure in 48 Hours (Yes, Hours)
Learn how Cake helped a team scale GenAI infrastructure in just 48 hours. Secure, observable, and composable—no glue code or rewrites required....
GPT-5 Is Here. So Why Are You Still Waiting to Build?
The release of OpenAI’s GPT-5 is the latest watershed moment for generative AI, pushing the boundaries of what's possible with LLMs. For engineering...
How to Build an Enterprise AI Stack (That Doesn’t Break at Scale)
Enterprises are under more pressure than ever to incorporate AI into their workflows. But most are stuck stitching together a stack that was never...
