Engineering essays from the bench.
War stories, architecture decisions, and the occasional tirade. Written by the engineers who shipped it.
MLOps: Bridging the Gap Between ML Models and Production
How MLOps moves machine learning models from experimentation to reliable production systems with CI/CD, monitoring, and automation.
The Modern Data Engineering Stack: From Ingestion to Analytics
The modern data stack: ELT pipelines, dbt, lakehouses, orchestration with Dagster and Airflow, and real-time streaming.
Technical Debt Management: When to Pay It Down and When to Ship
Learn how to identify, measure, and strategically manage technical debt so it accelerates your team instead of slowing it down.
Docker and Containerization: The Complete Production Guide
Master Docker for production with best practices for Dockerfiles, multi-stage builds, image security, container networking, and orchestration decisions.
Building Production AI Pipelines with Python
A practical guide to designing, building, and deploying AI/ML pipelines that scale, from data ingestion to model serving with MLOps best practices.
Modern Penetration Testing: Methodology and Best Practices
Modern penetration testing: engagement phases, tooling, and how to plan assessments that produce findings worth acting on.
SaaS Architecture Patterns: Building Multi-Tenant Applications
Learn essential SaaS architecture patterns including multi-tenancy models, tenant isolation, authentication, billing integration, and scaling strategies.
A Practical Guide to Zero-Trust Architecture
Learn how to implement zero-trust security principles in your organization, from identity verification to microsegmentation and continuous monitoring.
How NLP and Transformers Are Transforming Business Operations
Practical NLP and transformer applications, from document processing and sentiment analysis to knowledge extraction and workflow automation.
Computer Vision for Manufacturing Quality Control
How computer vision automates manufacturing quality control: defect detection, real-time inspection, and predictive quality systems.
