cloud infrastructure

Pragmatic guide to hosting AI on plain Linux: three case studies show how to ship a CPU-only FastAPI embedding API behind NGINX/systemd, a low-latency YOLOv8 image detector that scales to GPU, and a nightly zero-shot batch tagger driven by Bash + GNU parallel. Includes apt/dnf/zypper setup, code, and ops patterns, plus lessons on warm models, right-sizing, concurrency, separation, observability, and concrete next steps.

A practical Linux admin checklist to take AI from bare metal to an LLM API in 30 minutes: verify hardware/NUMA/huge pages, install runtimes (apt/dnf/zypper, Podman/Docker), enforce security (firewall, SELinux/AppArmor, SSH), plan storage/networking, add observability/backups, then launch Ollama with persistent volumes. Includes copy-paste commands, avoids GPU/driver and NUMA pitfalls, and ends with automation and monitoring next steps.

Step-by-step guide to take an AI model from notebook to production on Linux: scaffold a FastAPI + Uvicorn inference service, manage it with systemd, and secure/accelerate it behind Nginx, with copy‑paste commands for apt/dnf/zypper. Optional Podman/Docker containerization, caching, scaling, logging, TLS, and troubleshooting tips ensure reliability, reproducibility, and safe rollout.

A practical guide to building reusable AI VM templates on Linux with KVM/libvirt, cloud-init, and Ubuntu cloud images, enabling fast, reproducible, isolated environments preloaded with Python, PyTorch (CPU), JupyterLab, and data libraries. It covers prerequisites, baking a golden qcow2 image, a one-command cloning script, snapshots, networking/security best practices, and optional GPU passthrough for acceleration.

Learn to stand up GPU-ready AI inference in any cloud using auditable Bash scripts: install cross-distro basics, Docker, and NVIDIA Container Toolkit; bootstrap VMs via SSH or cloud-init; launch a vLLM OpenAI-compatible API with cached models; and scale to many nodes using parallel SSH and rclone-backed object storage, with concise commands, troubleshooting, and zero vendor lock-in.

Learn how to automate subnet configurations using Linux Bash in this step-by-step guide, ideal for sysadmins and DevOps in AWS environments. Discover how to use Bash scripts for creating and verifying both public and private subnets, with best practices in error checking and script modularity.

Discover effective management of cloud-based DNS configurations using Linux Bash with this practical guide. As businesses migrate infrastructures to the cloud, this article delves into managing DNS settings on platforms like AWS, Google Cloud, and Azure for enhanced scalability, security, and accessibility. It outlines prerequisites like basic DNS knowledge and Linux CLI tool setups, and provides step-by-step commands for DNS management tasks, routine automation, and monitoring.

Discover the power of Bash scripting for cloud infrastructure automation. This guide explains how to use Bash for setting up and managing cloud resources, such as virtual machines and storage, with CLI tools from providers like AWS and Azure. Learn to write your first script to automate tasks, minimize errors, and effectively scale operations, supplemented by tips on error handling, reusability, and logging. Advance to complex setups and scheduled tasks for robust cloud management.

Explore the advantages of real-time monitoring in complex IT landscapes with Datadog and Linux Bash in this detailed article. Learn how to set up the Datadog agent, create custom scripts for enhanced monitoring, and utilize cron for scheduling, ensuring continuous, automated system health checks. Perfect for system admins and DevOps engineers aiming for operational efficiency and reliability.

Explore automating cloud infrastructure with AWS CloudFormation and Linux Bash in this guide. Learn to create CloudFormation templates, integrate Bash for deployments, manage configurations, and establish CI/CD pipelines. Best practices for security and compliance are discussed to help DevOps professionals and system administrators enhance operational efficiency.

Learn to manage AWS cloud infrastructure efficiently using Bash scripting and AWS CLI. This guide is essential for administrators aiming to improve productivity and automate tasks, covering areas such as automation, integration, and cost management. Practical usage includes managing EC2 instances, S3 buckets, and IAM roles, offering step-by-step examples for beginners and advanced users alike.