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 […]
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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.
Read more →Azure Container Apps: A Solutions Architect’s Guide to Serverless Containers
Azure Container Apps represents Microsoft’s serverless container platform, offering Kubernetes-like capabilities without cluster management complexity, powered by KEDA auto-scaling and native Dapr integration. Container Apps Architecture Platform Comparison Key Features Feature Description Use Case Revisions Immutable snapshots of app version Blue-green, canary deployments Traffic Splitting Route % traffic to different revisions A/B testing, gradual rollouts […]
Read more →Mastering Google Cloud Platform: A Complete Architecture Guide for Enterprise Developers
Google Cloud Platform (GCP) provides a comprehensive suite of cloud computing services for enterprise developers. This guide covers the essential architecture patterns, services, and best practices that every developer needs to master for building production-grade applications on GCP. GCP Resource Hierarchy Understanding GCP’s resource hierarchy is fundamental to designing secure, manageable enterprise architectures. Resources are […]
Read more →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.
Read more →Mastering GKE: A Deep Dive into Google Kubernetes Engine for Production Workloads
Introduction: Google Kubernetes Engine represents the gold standard for managed Kubernetes, built on the same infrastructure that runs Google’s own containerized workloads at massive scale. This deep dive explores GKE’s enterprise capabilities—from Autopilot mode that eliminates node management to advanced features like workload identity, binary authorization, and multi-cluster service mesh. After deploying production Kubernetes clusters […]
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