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Got it — having the queue already in place is the right setup for beta. With mostly 1080p short-form videos and Pro jobs up to ~5 minutes, the main missing sizing input now is volume and concurrency. Roughly how many videos per day are you rendering while testing with real users, and how many typically render at the same time?
That helps. Burning captions with ffmpeg/libass usually means a full video re-encode, so CPU is often the main bottleneck, though codec, resolution and storage speed also matter. Until v2 changes it, I’d put renders behind a job queue with a small concurrency limit so multiple encodes don’t slow the rest of the SaaS. If v2 moves rendering elsewhere, the VPS can usually stay much smaller. Roughly how many videos per day are you rendering, and at what typical length/resolution?
If you’re comparing Hetzner alternatives, I’d look at the resources you actually need rather than matching a provider’s plan names. GreatHosts KVM starts at $24/month with root access, and larger tiers scale RAM, CPU and storage from there:
https://t.co/m61ucZOvUU
What are you running, and roughly how much RAM does it need?
If CX33 isn’t available, I’d compare VPS options by the resources you actually need rather than matching a plan name. GreatHosts KVM starts at $24/month with root access, and the larger tiers scale RAM, CPU and storage from there: https://t.co/ICjANagaTV
What are you mainly running, and roughly how much RAM do you need?
Si Claude va por API, el VPS no ejecuta el modelo: solo n8n y los servicios que uses. Para uso personal puede bastar algo pequeño; lo que más cambia el tamaño son las ejecuciones simultáneas, la base de datos/historial, los archivos y si usas workers. ¿Son flujos personales o webhooks para clientes?
If the VPS is hitting resource limits, moving the workload to an M1 Pro can make sense, especially for browser-heavy tasks or local inference. The trade-off is that it now depends on your home power, internet and remote access. Are the agents mostly calling hosted model APIs, or running models/browsers locally?
If you’ve already completed Etsy’s DNS steps exactly, I wouldn’t keep changing records. At that point it’s reasonable to let Pattern finish provisioning/reissuing the certificate, and if it stays broken, open an Etsy support ticket with the domain and screenshots of the DNS records. Their docs say domain connection can take up to 48 hours.
Bei vielen Domains läuft ein Registrar-Wechsel so: Domain entsperren, Auth-Code holen und den Transfer beim neuen Anbieter starten. Vorher würde ich die DNS-Einträge und ggf. DNSSEC/DS sichern und beim Ziel vorbereiten, damit Website und Mail nicht ausfallen. Wichtig sind auch Verlängerungspreis, Transferkosten, 2FA und DNS-Funktionen. Läuft bei dir nur die Registrierung bei ALL-INKL, oder auch DNS, Mail und Hosting?
For a normal website, you usually don't need to pay separately for SSL. Free DV certificates such as Let's Encrypt are widely available and many managed hosts include them automatically. Paid certificates can still make sense for specific needs. Is the site static, WordPress/PHP, or does it run a persistent app process?
A Mac mini can work well if you're fine depending on home power and internet. A small VPS stays reachable when you're away and avoids that dependency, but you still manage updates and security yourself. For the coding agents, are they calling hosted model APIs, or running models locally?
Para tenerlos disponibles por Telegram aunque no estés delante, el proceso tiene que quedarse en marcha, pero no necesariamente necesitas un VPS si no usas Docker ni necesitas root.
En Great Start, Python está incluido sin coste extra. Si el agente está en Python y necesita mantenerse activo, normalmente bastaría añadir Supervisor por 4 USD/mes. Con el plan de 61 USD por 12 meses, eso equivale a unos 9,08 USD/mes.
Si está en Node.js, NodeJS cuesta 3 USD/mes y Supervisor 4 USD/mes, dando unos 12,08 USD/mes equivalentes.
https://t.co/OqcNJ29cRI
¿El agente está en Python, Node.js u otra cosa?
That makes the sizing much clearer. GreatHosts KVM 4 is 4 GB RAM, 80 GB storage and 2 CPU cores at $24/month, so it lines up closely with the 4 GB / ~20 GB target you described. Since your current 2.6 GB includes a dev workspace and Grafana you wouldn't need in production, it looks like a reasonable starting point. If you want more memory headroom, KVM 8 is 8 GB / 160 GB.
https://t.co/pY1w4ri2O1
Si vas a usar APIs de modelos, para un uso ligero el coste suele depender más del consumo de la API que del servidor. El host solo necesita ejecutar el agente y los servicios que lo acompañen, sin cargar el modelo en memoria. Eso permite empezar con algo pequeño. ¿Necesitas que los agentes estén disponibles 24/7, o solo cuando tú los uses?
With PostGIS + crawler + API in a Compose stack, you need persistent storage for the database and a host that stays up 24/7. Cloudflare Tunnel avoids exposing inbound ports, but it doesn't change those requirements. Ordinary shared hosting usually isn't a fit for Docker Compose/PostGIS. Do you know roughly how much RAM the stack uses now, or the current PostGIS database size?
خطوة ممتازة لطلاب الجامعات في المنطقة 👏
الوصول إلى أدوات قوية مثل Gemini و Deep Research يفتح الباب لبناء مواقع و تطبيقات و أفكار حقيقية — لكن بناء المشروع هو نصف الطريق فقط.
الخطوة التالية هي نشره، ربط النطاق، تأمينه بـ SSL، و اختيار الاستضافة المناسبة حسب طريقة عمل التطبيق.
من الجميل أن نرى أدوات الذكاء الصناعي تصبح أقرب للطلاب و المطورين الجدد.
نعم الخبر صحيح 😉 سنة كاملة من Google AI Plus مجانًا للطلاب الجامعيين في الشرق الأوسط💡🔥
اشتركوا قبل ٣١ ديسمبر ولا تفوّتوا مزايا Google AI Plus الحصرية
* وصول شامل لنموذج Gemini 3.1 Pro وميزة "Deep Research".
* إمكانيات أكبر لتوليد الصور، والموسيقى، والفيديو (بما فيها Gemini Omni).
* صلاحيات أكثر لاستخدام الميزات والنماذج في دفاتر الملاحظات.
* مساحة تخزين سحابية بسعة 400 جيجابايت (تشمل Drive وGmail والصور).
سجل الآن من هنا 👈🏻 https://t.co/ua344iastG