How to Reduce Docker containers Size ?🤔

Any Suggestions 👇

More: https://devopscube.com/reduce-docker-image-size/

#day_of_bug

Avvallari video darslar kam bo`lgan. Odamlar kitob o`qigan.

Kitob o`qishning foydasi, miyyada o`qiyotgan narsan odam tasavvur qiladi. Miyyada biror strukturaga kelishni boshlidi.

Video darsda esa, shu struktura ko`rsatib beriladi. Va bu struktura muallifning o`zi his qila olgan strukturasi. Sizniki emas.

Masalan, biror kinoni olaylik. U yerda effektlar va qizziq jarayonlar bilan bitta scenariyni ko`tsatishadi. Bittagina yo`l. Shu yo`lni turlicha usullar bilan yoritishadi. Lekin yo`l bitta.

Kitobda shu kinoni o`qib chiqsangiz, siz har bir yo`lni o`ziz qarab chiqasiz. Sizga qulay bo`lgan yo`l bilan yurib, jarayonlardan o`tasi. Bu esa sizning miyyangizda bu narsa shakllanishiga va saqlanishiga yordam beradi.

Oddiy misol. Uyni tasavvur qiling. Shiftida (potolok) nima bor? Eshigini rangi qanaqa?

Endi javob bering, nima uchun eshik tangini qizil demadingiz? Nima uchun shiftda turgan faner bo`yalgan?

Siz hozir tasavvur qilishga hayotdan ko`rgan uyingizdan kelib chiqib fikrladingiz. O`z uyingiz, o`rtog`ingiz uyi, siz qurmoqchi bo`ldan uy. Lekin siz tanimagan Said akani uylarini tasavvur qilmadingiz. Chunki uni uyini ko`rmagansiz-da.

Kitobda agar uyning ichi muhim bo`lmasa, uy deb etib ketiladi va siz o`z uyingizga moslab eslab qolasiz. Qayerdan odam kirdi, shkaf qayerda edi, oson eslab qolasiz. Agar kinoda ko`rsangiz va sizning uyingiz unga mos kelmasa, ertaga esizda ham bo`lmaydi.

Bilim ham shunday. Ilmni o`qishda miyyada shakllantira olsangiz va saqlay olsangiz bilim bo`ladi. 2 + 2 = ? deganda, kimdur cho`plarni o`ylidi, kimdur olmalarda sanaydi, kimdur tosh bilan, kimdur esa pizza bilan sanab 4 deydi.
Masala 2 ning shakli emas, qiymatida.

Shuning uchun kitob o`qish kerak....

Select_related and prefetch_related are both methods in Django that can be used to improve the performance of queries by fetching related data from the database in a single query.

Select_related works by performing a join on the database table when the query is executed. This means that all of the related data is returned in a single query, which can improve performance if the related data is large. However, select_related can only be used if the relationship between the two models is a one-to-one or one-to-many relationship.


Prefetch_related works by fetching the related data in a separate query after the initial query has been executed. This means that the related data is not returned in the initial query, but it is available when it is needed. Prefetch_related can be used for any type of relationship, but it is most useful for many-to-many relationships.

More informations

Read this story from elijah samson on Medium: https://python.plainenglish.io/microservices-in-python-kafka-and-django-c4e4fc83b7ef

So’ngi 2 oy stresslarga boy o’tdi 🤯

Berilgan loyha hajmi kattaroq edi.

Bunga:

- Machine Learning - model train qilish
- FastAPI da ko’targan microserviceni refactoring qilish o’rniga GO’da qayta yozib chiqish
- Bazaga hitlarni kamaytirish uchun soft SQL surovlar yozish
- M.U.N.I.S kabi boshqa davlat loyhalari biLan integrasiyalash
- Search tezlashtirish maqsadida Elastic Search ishlatish
- Admin role uchun esa VueJs'da Frontent qismini ishlab chiqish
- Va boshqalarga …

majbur bo’ldim …🤦‍♂️

Shu faqat Jiramda biroz tasklar qoldi (DB sharding, Docker Swarm)

Natijada esa o’qiyman deb saqlab qo’ygan kitoblarim va video darslarim ham tuxtab qoldi 😕

Xullas loyha uchun deadline belgilanilayotganda etiborli bo’lishimiz zarur 😑

P.s Loyhani MVP qilib topshirishim bilanoq Ochiq tabiat quynida sizlar bilan picnic 🧺 qilish niyat qilib quydim. Insha’Allah)

Keladiganlar bormi ?
👇 🙃

In this tutorial, you’ll learn how to:

* Run Python threads in parallel on multiple CPU cores
* Avoid the data serialization overhead of multiprocessing
* Share memory between Python and C runtime environments
* Use different strategies to bypass the GIL in Python
* Parallelize your Python programs to improve their performance
* Build a sample desktop application for parallel image processing

More: https://realpython.com/python-parallel-processing/

p.s Bar bir bazilarda bu mavzularda tushunmovchiliklar, ikkilanishlar bo'lmoqda 'Deep dive' qilib ko'rish zarur ... (Junior-Middle Interview results ... )

Ho’p demak … 🎊

Bu tema yana qayta ochilmoqda tayor turamiza. Postni tanish middle leveldagi (ayniqsa FullStack bo’lsa +) dasturchi tanishlarga yuborib quying tez orada kanalarda ham chiqib qoladi to’liq talablar va e’lon postlari 😉

Go with live reload (in docker)

p.s kerak bo'lib qolar

More: https://dev.to/jacobsngoodwin/full-stack-memory-app-01-setup-go-server-with-reload-in-docker-62n

#savol

Juniorlar dan Docker bilan ishlay olish tajribasini(ko'nikma) talab qilish qanchalik to'gri deb uylaysiz ?

More: https://awstip.com/dockerizing-django-effortless-deployment-with-postgres-nginx-and-gunicorn-2584c39adcf3