E kūʻai i ka hoʻokipa pūnaewele ʻoihana no nā papahana Python

ʻO ka lawelawe kikowaena Python kahi lawelawe kikowaena i hoʻonohonoho pono ʻia no ka holo ʻana i nā polokalamu pūnaewele i kākau ʻia ma ka ʻōlelo papahana Python. Hiki i kēia lawelawe kikowaena iā ʻoe ke hoʻokipa i nā pūnaewele, nā lawelawe API, nā kahua SaaS, a me nā polokalamu pūnaewele i hoʻomohala ʻia me ka hoʻohana ʻana i nā ʻōnaehana Python kaulana.

Ma ka lawelawe Python hiki iā ʻoe ke holo:

• nā noi pūnaewele
• i koe API
• Nā lawelawe SaaS
• Nā bots Telegram
• nā ʻōnaehana loiloi a me ka automation

No ka hana paʻa, kahi ʻōnaehana kikowaena me ke kākoʻo Python 3.x, nā drive SSD/NVMe a me nā pūnaewele hounā kikowaena.

Kākoʻo kā mākou kikowaena pūnaewele i nā mana Python he nui, me Python 3.8, 3.9, 3.10, 3.11, a me 3.12. Hiki i kēia kākoʻo iā ʻoe ke holo i nā papahana hou a me nā noi e kū nei me ka ʻole o ka hoʻoponopono hou ʻana i ke code.

ʻAe, inā he kaulike ka ukana o ka papahana. Nā alakaʻi kūpono:

• a hiki i 20,000–30,000 mau malihini kipa i kēlā me kēia mahina - ua lawa ka hoʻokipa pūnaewele;
• Hiki i ka kikowaena like ke lawelawe i nā mea hoʻohana 100-200 i ka manawa like me ka ʻole o nā pilikia.

I ka piʻi ʻana o ke kaumaha, ua ʻōlelo ʻia e hoʻololi i VPS me nā kumuwaiwai mai 2 vCPU, 4 GB RAM a me nā drive SSD/NVMe.

No ka holo ʻana i nā polokalamu Python ma kikowaena ʻO nā ʻenehana i hoʻohana pinepine ʻia e komo pū me nā interfaces WSGI a i ʻole ASGI, nā kikowaena noi Gunicorn a i ʻole uWSGI, ka hoʻokaʻawale ʻana ma o virtualenv, a me ka luna hoʻokele pūʻolo pip. ʻAe kēia i nā polokalamu pūnaewele e holo palekana a hilinaʻi hoʻi ma lalo o ke kaumaha kiʻekiʻe.

No nā papahana Django liʻiliʻi, kūpono ka hoʻokipa like ʻana me Python 3.x, nā drive SSD, ke kākoʻo virtualenv, a me ke komo ʻana iā SSH. No nā papahana nui aʻe, paipai mākou i kahi VPS (4 vCPU, 8 GB RAM, waihona ʻikepili PostgreSQL), hiki ke lawelawe i nā mea hoʻohana he 50,000+ i kēlā me kēia mahina.

ʻAe. Hoʻopilikia pololei ka hoʻokipa ʻana i nā ana Core Web Vitals. Nā ana koʻikoʻi: TTFB — a hiki i 200–400 ms, ka manawa hoʻouka ʻaoʻao — a hiki i 2–2.5 kekona, ka manawa hana — ma ka liʻiliʻi he 99.9%. ʻO ka hoʻohana ʻana i nā kaʻa SSD a i ʻole NVMe e wikiwiki i ka hana o ka waihona ʻikepili a hoʻemi i ka latency.

ʻAe. Hoʻohana nui ʻia ʻo Python no ka hoʻomohala ʻana i nā REST API, nā kahua SaaS, nā lawelawe automation, a me nā hoʻolālā microservice. ʻAe nā ʻōnaehana e like me FastAPI no ka hana ʻana i nā tausani o nā noi i kēlā me kēia kekona me ka hoʻonohonoho kikowaena kūpono.

Manaʻo ʻia ka hoʻololi ʻana i kahi VPS inā: loaʻa i ka pūnaewele ma mua o 30,000–50,000 mau malihini kipa i kēlā me kēia mahina, ʻoi aku ka ukana CPU ma mua o 70%, hoʻohana i nā logic ʻoihana paʻakikī/API, a i ʻole ʻoi aku ka waihona ʻikepili ma mua o 5–10 GB. Hāʻawi ka VPS i nā kumuwaiwai i hoʻolaʻa ʻia a me ka hana i wānana ʻia.

Hoʻohana pinepine nā polokalamu Python iā PostgreSQL, MySQL/MariaDB, a me Redis (no ka caching). Ua manaʻo ʻia ʻo PostgreSQL kekahi o nā hopena maikaʻi loa no nā papahana Django ma muli o kāna hana kiʻekiʻe a me ke kākoʻo no nā nīnau paʻakikī.

ʻAe. Hoʻonui maʻalahi nā polokalamu Python ma o ke kaulike ukana, ka hāʻawi ʻana i nā lawelawe ma nā kikowaena he nui, ka caching, a me ka containerization. I ka ulu ʻana o ka papahana, hiki iā ʻoe ke hoʻonui i kahi VPS a i ʻole kikowaena i hoʻolaʻa ʻia me ka ʻole o ka hoʻololi ʻana i ke ʻano o ka noi.