After 20 years in this industry, I’ve seen Production Model Deployment Patterns evolve from [past state] to [current state]. The fundamentals haven’t changed, but the implementation details have. Let me share what I’ve learned. The Fundamentals Understanding the fundamentals is crucial. Many people skip this and jump to implementation, which leads to problems later. How… Continue reading
Category: DevOps
Production Data Pipelines with Apache Airflow: From DAG Design to Dynamic Task Generation
After 20 years in this industry, I’ve seen Production Data Pipelines with Apache Airflow evolve from [past state] to [current state]. The fundamentals haven’t changed, but the implementation details have. Let me share what I’ve learned. The Fundamentals Understanding the fundamentals is crucial. Many people skip this and jump to implementation, which leads to problems… Continue reading
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.
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.
MLOps vs LLMOps: A Complete Guide to Operationalizing AI at Enterprise Scale
Understand the critical differences between MLOps and LLMOps. Learn prompt management, evaluation pipelines, cost tracking, and CI/CD patterns for LLM applications in production.
MLOps Best Practices: Building Production Machine Learning Pipelines That Scale
Master MLOps practices for production machine learning systems. Learn data versioning, experiment tracking with MLflow, CI/CD for ML, model registry governance, and monitoring strategies for AWS, Azure, and GCP.
Azure DevOps Pipelines: A Solutions Architect’s Guide to Enterprise CI/CD
After two decades of building and operating CI/CD systems across enterprises of every scale, I’ve watched Azure DevOps evolve from Team Foundation Server into one of the most comprehensive DevOps platforms available. The platform’s strength lies not just in its individual components, but in how seamlessly they integrate to create end-to-end delivery pipelines that scale… Continue reading
Understanding Modern IT Methodologies: A Comprehensive Comparison
After two decades of building and operating enterprise systems, I’ve watched the IT operations landscape transform dramatically. What started as siloed development and operations teams has evolved into a rich ecosystem of methodologies, each addressing specific organizational challenges. In this comprehensive guide, I’ll share my perspective on four dominant approaches: DevOps, DevSecOps, Site Reliability Engineering… Continue reading
Mastering DevSecOps: Key Metrics and Strategies for Success
Introduction The rise of DevSecOps has transformed the way organizations develop, deploy, and secure their applications. By integrating security practices into the DevOps process, DevSecOps aims to ensure that applications are secure, compliant, and robust from the start. In this blog post, we will discuss the key metrics for measuring the success of your DevSecOps… Continue reading
An Introduction to DevSecOps: Unlocking Success with Real-World Examples
Introduction In today’s fast-paced world, the need for rapid and secure software development has never been more crucial. As organizations strive to meet these demands, the DevSecOps approach has emerged as a powerful solution that integrates security practices into the DevOps process. By combining development, security, and operations, DevSecOps enables teams to create high-quality, secure… Continue reading