The Blueprint
One production system, designed end to end, every week. Real capacity math, named tools, honest trade-offs, and the failure modes nobody puts on the launch slide — for the dominant topic in that week's news.
Designing LLM Serving for a B2B SaaS with 100k DAUs
Develop an LLM serving architecture for a B2B SaaS with 100k daily users. The challenge: balancing cost, latency, and model complexity.
Designing an MLOps Pipeline for a SaaS with 50k Monthly Users
Build a scalable and compliant MLOps pipeline for a SaaS with 50k monthly active users. Focus on model governance, deployment, and monitoring within a $15k/month budget.
Serving LLM Inference for a FinTech App with 100k Monthly Users
Design an LLM inference system for a FinTech app with 100k users. Focus on latency, cost, and reliability using NVIDIA and AWS tools.
Designing an MLOps Pipeline for a B2B SaaS with 10k Monthly Models
A B2B SaaS needs an MLOps pipeline to deploy and manage 10,000 models monthly. The challenge is balancing cost and latency while ensuring observability.
Designing a Real-Time Data Pipeline for 50k QPS Using CDC
Build a data pipeline using change data capture to handle 50k QPS. The challenge: maintaining low latency and data consistency under load.
Designing a Scalable MLOps Pipeline for 100 AI Models on AWS
This design covers building a scalable MLOps pipeline for deploying and managing 100 AI models using AWS services, tackling compliance and operational challenges.
Implementing ML Observability for Fast Fashion's AI Personalization
Design an ML observability system for a fast fashion retailer using real-time data to personalize user experiences. The challenge: ensuring data quality and managing drift at scale.
BP-008 — IN THE QUEUE
The next design lands Tuesday.
Whatever dominates next week's news becomes the next blueprint — diagram, math, and trade-offs included.
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