Tag: #pipeline
Writing on GPUs, LLMs, MLOps, Kubernetes — and mindset · 6 posts
Advanced CI/CD Pipeline Guide — GitHub Actions, ArgoCD, Tekton, and Security Pipelines
Beyond basic build-and-deploy: security scanning, static analysis, container signing, GitOps, and multi-environment deployments. A comprehensive guide to building production-grade CI/CD pipelines.
2026-04-12 · 18 min read #devops#ci-cd#github-actions#argocd#tektonCI/CD Best Practices 2025: Pipeline Design, Automation, and Security for Teams
Everything about CI/CD pipelines! GitHub Actions vs Jenkins vs GitLab CI comparison, pipeline design principles, test automation, Docker build optimization, GitOps (ArgoCD), secret management, DORA metrics, and rollback
2026-03-23 · 23 min read #ci-cd#devops#github-actions#jenkins#argocdComputer Architecture Complete Guide: From ISA to GPU Parallel Architecture
A comprehensive guide to computer architecture covering ISA, datapath, pipelining, cache memory, virtual memory, RISC-V, and GPU parallel architecture with code examples.
2026-03-17 · 23 min read #computer-architecture#cpu#gpu#pipeline#cacheFrom Shell Basics to Advanced Operations: A Practical Shell Guide for Engineers
From Bash/Zsh basic syntax to pipelines, process substitution, signal handling, and performance optimization -- this guide covers essential Shell techniques that every working engineer must know, with practical code exam
2026-03-07 · 12 min read #linux#shell#bash#zsh#scriptingOpenTelemetry Collector Pipeline Design and Operations Guide: From Collection to Backend Integration
A guide covering OpenTelemetry Collector architecture and pipeline design, Receiver/Processor/Exporter configuration, Agent/Gateway deployment patterns, Kubernetes operations, Tail Sampling, and memory management.
2026-03-06 · 26 min read #observability#opentelemetry#collector#pipeline#monitoringKubeflow Pipelines v2 Practical Guide — Building ML Pipelines with KFP SDK
A practical guide to building ML pipelines with the KFP SDK in Kubeflow Pipelines v2. Covers component definitions, pipeline authoring, artifact management, and Kubernetes deployment with a code-first approach.
2026-03-03 · 20 min read #ai-platform#kubeflow#kfp#mlops#pipeline