Docker Full disk: Real occupancy is recognized before cleanup
A safe, step-by-step. Docker Disk takes the diagnostic guide. Learn how to distinguish mirrors, layers, volumes, and logs to prevent data loss during clean-up.
Choose, secure, deploy and troubleshoot servers without skipping the operational details.
19 guides
A safe, step-by-step. Docker Disk takes the diagnostic guide. Learn how to distinguish mirrors, layers, volumes, and logs to prevent data loss during clean-up.
Assess the real-world capacity of a 2 vCPU and 4 GB RAM server. Learn how to divide resources for static sites, dynamic applications, databases, and container platforms.
Draw the boundaries between the public entry point, reverse proxy, application, database, files, and backups so fewer ports are exposed and incidents are easier to diagnose.
Move an app out of a temporary terminal session. Define a dedicated user, working directory, environment file, restart behavior, and logs, then verify the service safely.
Route each domain to its own local service with Caddy. Check DNS, upstream addresses, HTTPS, configuration validation, safe reloads, and every affected site.
Before moving a working Compose project into production, check image versions, builds, ports, internal networks, persistent volumes, health checks, restarts, and rollback.
Separate ordinary configuration from secrets. Choose where to store .env files and service credentials, restrict access, avoid logging secrets, and plan rotation and incident response.
Choose a consistent backup method for SQLite or PostgreSQL, then document encryption, off-site storage, retention, verification, and a restore rehearsal in isolation.
Prepare and back up before release, start a candidate version, verify its health, switch traffic, observe the result, and keep a clear route back to the previous version.
Start with user-visible availability, then watch application health, CPU, memory, disk, backup age, and logs. Set alerts that reflect sustained problems rather than brief spikes.
Trace faults through DNS, network access, TLS, Caddy, the local upstream, application, and database using evidence at each layer instead of blindly restarting the server.
Organize daily, weekly, monthly, and quarterly checks for availability, patches, capacity, backups, accounts, certificates, dependencies, and recovery drills.
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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