Practical IT & Dev Tutorials
From Linux basics to GPU cluster setup. Every tutorial tested on fresh environments, commands copy-paste ready, explanations clear.
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From Linux basics to GPU cluster setup. Every tutorial tested on fresh environments, commands copy-paste ready, explanations clear.
Shell scripting, systemd services, filesystem management, SSH hardening, cron jobs, and log analysis.
Container basics to production orchestration. Docker Compose, Kubernetes deployments, Helm charts.
Automation scripts, web scraping, API integration, data processing, and CLI tool development.
AWS, GCP, Azure deployment guides. Terraform infrastructure, serverless functions, CDN setup.
Git workflows, GitHub Actions, GitLab CI pipelines, automated testing, and deployment automation.
NVIDIA drivers, CUDA setup, multi-GPU training, model serving with vLLM, TGI, and Triton.
Cloud IDEs and GitHub Codespaces are convenient, but a properly configured development server gives you full control: persistent environments, custom toolchains, GPU access for ML experiments, and no per-hour billing. Whether you're using a $500 used workstation or a cloud VM, the setup process is the same.
Start with Ubuntu 22.04 LTS Server. After installation, configure SSH key authentication (disable password login), set up UFW firewall rules (allow only SSH, HTTP, HTTPS), and configure fail2ban for brute-force protection. Create a non-root user with sudo privileges for daily work.
Install core tools: git, tmux, htop, nvtop (for GPU monitoring). Set up Python with pyenv for version management and poetry for dependency management. Install Node.js via nvm. Configure Neovim or VS Code Remote SSH for editing.
Install Docker Engine (not Docker Desktop) and configure it for non-root use. Set up Docker Compose for multi-service applications. If you have NVIDIA GPUs, install the NVIDIA Container Toolkit for GPU passthrough: docker run --gpus all nvidia/cuda:12.1-runtime nvidia-smi.
For researchers who need to generate technical figures for papers and presentations, SciDraw provides AI-powered scientific diagram generation. For patent applicants documenting their technical inventions, PatentFig automates the creation of patent-compliant technical drawings. Both integrate well into documentation workflows.
Set up automatic security updates with unattended-upgrades. Configure log rotation with logrotate. Create a backup script that rsyncs important directories to an external location nightly. Monitor disk space, memory, and GPU usage with a simple dashboard (Grafana + Prometheus is production-grade; glances is a simpler alternative).
Linux admin, Docker, Kubernetes, Python, cloud deployment, Git, CI/CD, and AI infrastructure.
Yes. Every tutorial tested on fresh Ubuntu 22.04 before publishing. Copy-paste ready.
All tutorials are free and ad-free. Revenue through partner recommendations.
Our guide covers NVIDIA drivers, CUDA, Docker GPU passthrough, and multi-GPU training config.
Yes. GitHub Actions, GitLab CI, Jenkins. Docker builds and automated cloud deployment.
IT Tutorial Top is built by developers for developers. Every tutorial is written from real project experience, tested on clean environments, and designed to be followed without guesswork. No fluff, no theory-only—just working instructions.