After 20 years in enterprise data engineering, I’ve implemented Apache Airflow across healthcare, financial services, and cloud-native architectures. This article shares production-tested patterns for building resilient, scalable data pipelines—from DAG design principles to dynamic task generation strategies that handle thousands of workflows. 1. The Fundamentals: Why Airflow Remains the Standard Apache Airflow has become the […]
Read more →Category: Technology Engineering
Technology Engineering
Security as Code: Why the Best DevSecOps Teams Treat Vulnerabilities Like Bugs, Not Afterthoughts
The first time I watched a security vulnerability slip through our CI/CD pipeline and make it to production, I felt the same sinking feeling every engineer knows: that moment when you realize the system you trusted has a blind spot. It was 2019, and we had what we thought was a mature DevOps practice. Automated […]
Read more →Observability Practices in AI Engineering: A Complete Guide to LLM Monitoring
Master AI observability with this comprehensive guide. Compare Langfuse, Helicone, LangSmith, and other tools. Learn which metrics matter, how to build evaluation pipelines, and implement production-grade monitoring for LLM applications.
Read more →The Modern Data Engineer’s Toolkit: Why Python Became the Lingua Franca of Data Pipelines
After 20 years building data pipelines across multiple languages—Java, Scala, Go, Python—I’ve watched Python evolve from a scripting language to the undisputed standard for data engineering. This article explores why Python became the lingua franca of data pipelines and shares production patterns for building enterprise-grade systems. 1. The Evolution: From Java to Python In 2005, […]
Read more →Building Cloud-Native Applications with .NET Aspire: A Comprehensive Guide to Distributed Development
Introduction: Building distributed applications has always been one of the most challenging aspects of modern software development. The complexity of service discovery, configuration management, health monitoring, and observability can overwhelm teams before they write a single line of business logic. .NET Aspire, Microsoft’s opinionated framework for cloud-native development, fundamentally changes this equation. After spending months […]
Read more →DIY LLMOps: Building Your Own AI Platform with Kubernetes and Open Source
Build a production-grade LLMOps platform using open source tools. Complete guide with Kubernetes deployments, GitHub Actions CI/CD, vLLM model serving, and Langfuse observability.
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