AWS EKS engineers published the real root cause of slow CUDA/PyTorch image pulls on Aug 10, 2026: it's serialization, not bandwidth. Two containerd fixes now shipping in EKS Auto Mode — chunked range-request downloads and concurrent layer unpacking.
All four major clouds shipped agent code sandboxes in the same quarter. Four isolation architectures, four trade-off profiles. Here's the technical comparison and decision framework for Tech Leads picking the right sandbox for their AI stack.
As AI agents replace human workflows, your observability stack must evolve. A practical guide to tracing LLM calls, multi-agent chains, and tool use with OpenTelemetry — from a Tech Lead who's been there.
A practical guide to building an AI-powered monitoring dashboard that shows EC2 health, web platform status, CI/CD quality checks, and uses Claude to interpret anomalies in plain English.
How I replaced cloud VPS with a mini PC homelab running Laravel, Docker, and Cloudflare Tunnel - saving money while learning real DevOps
A practical guide to running parallel AI coding agents using Claude as a manager, MiniMax and Kimi as workers, Linear as the task pool, and tmux as the control room. No frameworks — just shell scripts, lock files, and clear task specs.
A deep dive into building a local LLM API server on an RTX 3060. Ollama + FastAPI + Cloudflare Tunnel. 6 layers of security, real benchmarks, and hard-won lessons.
Build the Tech Lead (code review), DevOps (CI/CD generation), and PM (coordination) agents.
This week's top reads for Tech Leads & Engineers: the AI coding tools war heats up, Stripe's autonomous agents ship 1,300 PRs/week, software supply chain becomes the #1 attack vector, and engineering leadership rethinks itself.
Building a production-grade CI/CD pipeline for Umbraco 17: GitHub Actions to Azure App Service with zero-downtime slot swaps, Docker Compose for local development, uSync in the pipeline, Azure Blob Storage for media, and environment-specific configuration.
A practical, hands-on guide to automating Developer, QC, and Tech Lead workflows across three maturity levels — Manual, Agentic (Claude Code), and Fully Autonomous (NanoClaw). With mermaid diagrams, real configs, BDD examples, and step-by-step instructions you can implement today.
A comprehensive guide to ClawTeam — the open-source Agent Swarm Intelligence framework. Learn how to set up Dev, QC, and Tech Lead agents on a single laptop, handle security and performance concerns, prevent AI quality issues, and run a solo complex project with production-grade workflows.
Production CI/CD patterns for multi-agent AI systems. Covers LangSmith evaluation pipelines, prompt versioning with S3, canary deployments, regression testing, cost monitoring gates, and automated rollback strategies.
The complete deployment guide: Docker multi-stage builds, Kubernetes orchestration, CI/CD with GitHub Actions, zero-downtime deploys, go-live checklist, production monitoring with Prometheus/Grafana, and the operational runbook that keeps voice AI running at scale.
Scaling from 10 sessions/week to 200 concurrent. The enrichment bottleneck (30,000 API calls), session recovery for dropped WebRTC connections, provider failover, and the operational metrics that keep it all visible.
Mobile CI/CD is not web CI/CD. Code signing, provisioning profiles, app bundles, and two very different app store review processes await. Here's how we automated the painful parts.
Turning MarketingOS into a reusable template: new client onboarding in under an hour, multi-tenant content management, cost analysis showing 70% reduction per site, lessons learned, and what I'd do differently.
CI/CD explained without the DevOps jargon. Two tech leads discuss how code actually gets from your laptop to production — pipelines, testing strategies, and deployment techniques that won't ruin your weekend.
Dockerizing MarketingOS with multi-stage builds for both Umbraco and Next.js, Docker Compose for the full stack, GitHub Actions CI/CD with contract tests, automated deployments, and environment promotion.
How AI transforms the DevOps/Platform Engineer role: AI-assisted pipeline generation, incident diagnosis, capacity planning, GitOps automation, and the operational judgment that keeps systems running and teams unblocked.
From 10 concurrent interviews to 10,000. LiveKit SFU mesh, stateless agent workers, Kubernetes auto-scaling, regional deployment, and the infrastructure patterns that handle hiring season surges.
Docker and Kubernetes explained like you're having coffee with a friend. No jargon walls — just real analogies about shipping containers, apartments, and why 'works on my machine' is everyone's least favorite sentence.
The production pain points nobody warns you about: zombie agents, metadata latency, pre-warming for 1-2s time-to-first-voice, VAD tuning for research respondents, and provider quirks.
Post K — How to upgrade Angular safely in production: understanding the LTS policy, running ng update without surprises, handling NgRx and RxJS breaking changes, the upgrade branch strategy, and when to skip a version.
Taking Kids Learn to production with Docker, CI/CD, OpenTelemetry observability, performance optimization, Native AOT considerations, and an honest retrospective on what worked and what was over-engineered.
Building a CI/CD pipeline with GitHub Actions that enforces test coverage, performance budgets, visual regression, and AI response quality checks on every PR. Part 3 of the AI-powered quality engineering series.
Build a complete CI/CD pipeline with CodePipeline, run tests and builds with CodeBuild, manage Docker images with ECR, implement blue/green deployments for ECS Fargate, and automate infrastructure changes with CDK Pipelines.
Define your entire AWS infrastructure in TypeScript with CDK v2. VPC design, multi-stack architecture, reusable constructs, and deploying to staging vs production with a single command.
Why we chose AWS to build the Kids Learn platform from the ground up. AWS Well-Architected Framework, account setup, cost planning, and the complete service map for a production SaaS.
The story of migrating a 2M+ line retail platform to microservices. What the strangler pattern actually looks like when you're in the middle of it.
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