Choose, secure, deploy and troubleshoot servers without skipping the operational details.
17 guides
A landingable deployment map will be used to demarcate the boundaries of the public network portal, reverse agents, application processes, databases, files and backups, reducing blind screening of port exposures and malfunctions.
Collapse the process of running the website by hand as systemd Service to identify dedicated users, work directories, environmental files, start-up commands, automatic restarts and log views, and to maintain a secure authentication order.
Use Caddy Transmit multiple websites by domain name to different local ports, process them DNS Upstream address, configuration split,HTTPS, authenticate and uninterruptible load to avoid changing a station to affect all domain names.
It'll be activated on the computer. Compose The project is organized as a maintenanceable production deployment, examining mirror versions, construction, ports, internal networks, permanent rolls, health checks, restarts and updates on a case-by-case basis.
Distinguishing normal configurations from sensitive keys, combing .env, systemd EnvironmentFile Packagings secrets Use boundaries and establish privileges, backups, rotations and processing sequences for suspected leaks.
We're going to have to split. SQLite and PostgreSQL Select a consistent back-up method to record encryption, off-site preservation, retention cycles and verifications, and use the isolation environment to resume exercises to demonstrate that backup is actually available.
Dismantling releases into preparation, backup, start-up candidate versions, health certification, traffic switch and observation, retaining the previous version and rollback conditions, and avoiding a failure to reconfigure them at the production site.
Create small server monitoring from user usability: check domain names and HTTPS, applied health,CPU, memory, disk, backup age and log anomalies, and use duration to reduce misreporting.
Press DNS Networks,TLS, Caddy and the order of local upstream, application and database HTTPS Error, narrowing the range with each layer of evidence to avoid any luck in restarting the server.
Server maintenance is divided into daily, weekly, monthly and quarterly tasks, covering patches, capacity, backups, accounts, certificates, dependency and recovery exercises, and establishing operational manuals that are directly visible during periods of failure.
My first-hand notes on using RainYun for an early-stage content website: what feels stable in my workload, why the price is manageable and what I still check before recommending it.
Run Open WebUI in Docker, persist application data, connect it to Ollama and add the production safeguards recommended by the project documentation.
Install Ollama on Linux, run a first model, verify the local API and understand why port 11434 should not be exposed to the public internet without authentication.
Install Dify with its official Docker Compose workflow, verify the services, protect the installation screen and prepare a reverse proxy before exposing it publicly.
Ollama runs models and exposes an API; Open WebUI provides the user interface and application experience. Learn when you need one or both.
Understand Dify's documented minimum, why a complete Compose stack needs headroom and which measurements should drive production sizing.
A practical framework for separating application hosting from model inference, estimating resources and avoiding the most common AI server buying mistakes.
This is not an automated ranking, and neither service is necessary for everyone. These are services I use, with the use case and limitations kept visible.
A practical candidate for a website or small service. Choose by user region, configuration and measured workload rather than the lowest headline price.
The channel I use for GPT and Codex membership needs. Review it only when free access or an existing plan no longer covers the work.
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