2999, buy macmini4 with 16 + 256G memory, how to maximize value by deploying 50 services

2999, buy macmini4 with 16 + 256G memory, how to maximize value by deploying 50 services I just bought a 2999. I saw that everyone was recommending it, so I bought it back, but I haven't figured out how to use it yet. Everyone has a good referral code? I have also read AI's reply, but I still don't see why. Here are * * 50 services * * that can be deployed on * * Mac mini (M4 chip/16GB memory) * * and their minimalist reviews, sorted by category: --- # # # * * Development and O&M Tools * * * * Service name * * * Evaluation * * * Memory footprint * * * Applicable scenarios * * ----------------------------------------------------------------------------------------------------- * * VS Code Server * * Remote Web IDE, supporting multi-person collaboration medium team development * * Docker * * Lightweight containerization, rapid deployment of low-micro service/test environment * * Minikube * * local K8s cluster, high Kubernetes learning for development and testing * * GitLab Runner * * Continuous Integration/Delivery Agent Medium CI/CD Pipeline * * Jenkins * * Automated build tool, plug-in rich for highly complex build tasks * * PostgreSQL * * Open source relational database, strong scalability and medium data storage * * Redis * * In-memory database, ultra-low latency, low cache/message queue * * MySQL * * Classic relational database and other traditional applications * * MongoDB * * Document database, JSON friendly Moderate NoSQL requirements * * Prometheus * * Monitoring alarm system, time series data low service monitoring * * Grafana * * Visual dashboard, docking multi-data source low monitoring display * * Portainer * * Docker graphical management tool low container operation and maintenance * * Nginx * * High performance Web server/reverse proxy very low static site/API gateway * * Apache * * Legacy Web Server, Modular Low Compatibility Old Projects * * Node.js * * JavaScript runtime, event-driven low full stack development * * Python Flask * * Lightweight Web framework Low fast API development * * Elasticsearch * * Full-text search engine, distributed high log analysis/search service * * RabbitMQ * * message queue, AMQP protocol supports moderate asynchronous task processing * * Hugo * * Static website builder, build extremely low blog/document sites quickly --- # # # * * Media & Family Services * * * * Service name * * * Evaluation * * * Memory footprint * * * Applicable scenarios * * ----------------------------------------------------------------------------------------------------- * * Jellyfin * * Open source media server, hardware accelerated medium home library * * Plex * * Commercial Media Server, Client Rich Medium Streaming Sharing * * Homebridge * * Non-HomeKit devices are connected to Apple's ecological low smart home hub * * Home Assistant * * All-round smart home platform, strong automation and moderately complex smart scenarios * * Pi-hole * * Network-level ad blocking, DNS filtering is extremely low for the whole family to go to ads * * AdGuard Home * * replaces Pi-hole with DoH/DoT low privacy protection * * Calibre * * e-book management server low personal digital library * * Audiobookshelf * * Audiobook management, supports multi-terminal synchronization low audio book lovers * * Photoprism * * Private cloud photo album, AI classification medium photo backup and management * * Nextcloud * * Self-built cloud disk to replace Google Drive for high file synchronization/collaboration --- # # # * * Network and Security * * * * Service name * * * Evaluation * * * Memory footprint * * * Applicable scenarios * * ----------------------------------------------------------------------------------------------------- * * OpenWRT * * Bypass function, scientific Internet access/advertising filtering low network optimization * * Tailscale * * Zero configuration intranet penetration, WireGuard protocol very low remote access * * Zerotier * * Virtual LAN, cross-network networking, extremely low remote device interconnection * * Nginx Proxy * * Reverse Proxy Manager, Automatic SSL Low Multiservice Domain Name Exposure * * Traefik * * Dynamic reverse proxy, supporting container low microservice gateway * * Fail2Ban * * Anti-brute force cracking, automatically blocking IP, extremely low server security * * WireGuard * * Lightweight VPN, high performance, very low encryption communication * * Squid * * HTTP proxy cache, accelerated access to moderate intranet acceleration * * Snort * * Network intrusion detection system high security monitoring * * Gitea * * Lightweight Git service, replacing GitLab low private code hosting --- # # # * * Automation and Tools * * * * Service name * * * Evaluation * * * Memory footprint * * * Applicable scenarios * * ----------------------------------------------------------------------------------------------------- * * Homer * * Navigation homepage, aggregation service link extremely low service entrance unified * * Uptime Kuma * * Service availability monitoring, notification and alarm low operation and maintenance monitoring * * Wiki.js * * Knowledge base system, Markdown support Medium team documentation * * BookStack * * Structured Document Management Medium Technical Manual * * Bitwarden * * Password Manager, Self-Hosted Low Password Security * * Vaultwarden * * Bitwarden Lightweight Alternative to Very Low Resource Password Management * * ntfy * * Push notification service, cross-platform extremely low message alerts * * Gotify * * Easy message push server very low custom notifications * * Radarrr * * Movie Automatic Download Management Medium PT Enthusiast * * Sonarr * * Automatic episode download management Medium drama chase automation --- # # # * * Experimental/Advanced Services * * * * Service name * * * Evaluation * * * Memory footprint * * * Applicable scenarios * * ----------------------------------------------------------------------------------------------------- * * LLM Local * * Locally run extremely high AI experiments with large models such as Llama 3 * * Stable Diffusion * * Local AI mapping, relying on GPU to accelerate high image generation * * Ollama * * Simplified version of LLM management tool Medium lightweight AI development * * IPFS * * Distributed storage node Medium Web3 development * * Ethereum * * Ethereum Light Node High Blockchain Development * * Folding @ Anonymous5778 * * Distributed computing contributes extremely high computing power, scientific research and public welfare * * Kasm * * Containerized desktop environment, remotely isolated high security sandbox * * CyberChef * * Data encoding and decoding Web tool low security analysis * * Grafana Loki * * Log aggregation system, lightweight alternative to ELK medium centralized logging * * Meilisearch * * Extremely fast full-text search engine low alternative Elasticsearch --- # # # * * Summary Recommendations * * -* * Preferred choice * *: Docker containerized deployment (resource saving) -* * Memory sensitive * *: Limit single-service memory (e.g. ` docker run--memory 2g `) -* * Performance bottleneck * *: Avoid running more than 3 high memory services at the same time (such as LLM + DB + media transcoding) Through reasonable allocation, 16GB of memory can carry approximately * * 10-15 low and medium load services * * at the same time.