{"id":37373,"date":"2026-01-01T20:40:42","date_gmt":"2026-01-01T17:40:42","guid":{"rendered":"https:\/\/fatihsoysal.com\/blog\/?p=37373"},"modified":"2026-01-01T20:40:42","modified_gmt":"2026-01-01T17:40:42","slug":"docker-konteynerleri-ile-calismak-modern-uygulama-gelistirmenin-temel-tasi","status":"publish","type":"post","link":"https:\/\/fatihsoysal.com\/blog\/docker-konteynerleri-ile-calismak-modern-uygulama-gelistirmenin-temel-tasi\/","title":{"rendered":"Docker Konteynerleri ile \u00c7al\u0131\u015fmak: Modern Uygulama Geli\u015ftirmenin Temel Ta\u015f\u0131"},"content":{"rendered":"

<\/p>\n

Docker Konteynerleri ile \u00c7al\u0131\u015fmak: Modern Uygulama Geli\u015ftirmenin Temel Ta\u015f\u0131<\/h2>\n

Modern yaz\u0131l\u0131m geli\u015ftirme d\u00fcnyas\u0131nda, uygulamalar\u0131n tutarl\u0131, ta\u015f\u0131nabilir ve \u00f6l\u00e7eklenebilir bir \u015fekilde da\u011f\u0131t\u0131lmas\u0131 ve \u00e7al\u0131\u015ft\u0131r\u0131lmas\u0131 her zamankinden daha kritik hale gelmi\u015ftir. Bu ihtiyaca cevap veren en g\u00fc\u00e7l\u00fc ara\u00e7lardan biri de Docker’d\u0131r. Docker, uygulama ve ba\u011f\u0131ml\u0131l\u0131klar\u0131n\u0131 izole edilmi\u015f, hafif birimler olan “konteynerler” i\u00e7inde paketleyerek, “benim makinemde \u00e7al\u0131\u015f\u0131yor” sorununu ortadan kald\u0131ran devrim niteli\u011finde bir platformdur. Bu makale, Docker konteynerlerinin ne oldu\u011funu, nas\u0131l \u00e7al\u0131\u015ft\u0131\u011f\u0131n\u0131, temel komutlar\u0131n\u0131, imaj olu\u015fturma s\u00fcre\u00e7lerini, \u00e7oklu konteyner uygulamalar\u0131n\u0131 y\u00f6netmeyi ve konteyner orkestrasyonunun temellerini derinlemesine inceleyerek, modern geli\u015ftirme ve operasyon s\u00fcre\u00e7lerindeki rol\u00fcn\u00fc ayd\u0131nlatacakt\u0131r.<\/p>\n

Docker Temelleri: Konteynerizasyonun G\u00fcc\u00fc<\/h3>\n

Docker’\u0131 anlamak i\u00e7in \u00f6ncelikle konteynerizasyon kavram\u0131n\u0131 ve Docker’\u0131n bu alandaki yerini kavramak \u00f6nemlidir.<\/p>\n

Docker Nedir?<\/h4>\n

Docker, uygulamalar\u0131 ve onlar\u0131n t\u00fcm ba\u011f\u0131ml\u0131l\u0131klar\u0131n\u0131 (k\u00fct\u00fcphaneler, sistem ara\u00e7lar\u0131, kod, \u00e7al\u0131\u015fma zaman\u0131) standartla\u015ft\u0131r\u0131lm\u0131\u015f, izole edilmi\u015f birimler olan konteynerler i\u00e7inde paketlemeyi sa\u011flayan a\u00e7\u0131k kaynakl\u0131 bir platformdur. Bu paketleme sayesinde, bir uygulama geli\u015ftirme ortam\u0131nda nas\u0131l \u00e7al\u0131\u015f\u0131yorsa, test ve \u00fcretim ortamlar\u0131nda da ayn\u0131 \u015fekilde \u00e7al\u0131\u015fmas\u0131 garanti edilir. Docker, “uygulaman\u0131z\u0131 bir kez derleyin, her yerde \u00e7al\u0131\u015ft\u0131r\u0131n” felsefesini ger\u00e7e\u011fe d\u00f6n\u00fc\u015ft\u00fcr\u00fcr. Geli\u015ftiricilerin i\u015f ak\u0131\u015f\u0131n\u0131 basitle\u015ftirir, da\u011f\u0131t\u0131m s\u00fcre\u00e7lerini h\u0131zland\u0131r\u0131r ve operasyonel verimlili\u011fi art\u0131r\u0131r.<\/p>\n

Konteyner Nedir?<\/h4>\n

Konteyner, bir uygulaman\u0131n \u00e7al\u0131\u015fmas\u0131 i\u00e7in gerekli olan her \u015feyi (kod, \u00e7al\u0131\u015fma zaman\u0131, sistem ara\u00e7lar\u0131, sistem k\u00fct\u00fcphaneleri ve ayarlar) i\u00e7eren hafif, ba\u011f\u0131ms\u0131z ve y\u00fcr\u00fct\u00fclebilir bir yaz\u0131l\u0131m paketidir. Sanal makinelerden (VM’ler) farkl\u0131 olarak, konteynerler i\u015fletim sistemi \u00e7ekirde\u011fini payla\u015f\u0131r. Bu, onlar\u0131 VM’lere g\u00f6re \u00e7ok daha hafif ve h\u0131zl\u0131 ba\u015flat\u0131labilir k\u0131lar. Her konteyner, kendi izole edilmi\u015f dosya sistemine, a\u011f aray\u00fcz\u00fcne ve i\u015flem alan\u0131na sahiptir, ancak ana bilgisayar\u0131n i\u015fletim sisteminin \u00e7ekirde\u011fini kullan\u0131r. Bu izolasyon, farkl\u0131 uygulamalar\u0131n ayn\u0131 sunucuda \u00e7ak\u0131\u015fmadan \u00e7al\u0131\u015fmas\u0131na olanak tan\u0131r.<\/p>\n

Docker Mimarisi<\/h4>\n

Docker, bir istemci-sunucu mimarisi \u00fczerinde \u00e7al\u0131\u015f\u0131r. Temel bile\u015fenleri \u015funlard\u0131r:<\/p>\n

* Docker Daemon (dockerd):<\/strong> Docker’\u0131n ana motorudur. Konteynerleri, imajlar\u0131, a\u011flar\u0131 ve depolama birimlerini y\u00f6neten, arka planda \u00e7al\u0131\u015fan bir hizmettir. Docker API isteklerini dinler ve bunlar\u0131 i\u015fler.
\n* Docker Client:<\/strong> Kullan\u0131c\u0131lar\u0131n Docker Daemon ile etkile\u015fim kurmas\u0131n\u0131 sa\u011flayan birincil ara\u00e7t\u0131r. Genellikle docker<\/code> komutu ile komut sat\u0131r\u0131ndan kullan\u0131l\u0131r. \u0130stemci, Docker Daemon’a komutlar g\u00f6nderir ve ondan yan\u0131tlar al\u0131r.
\n* Docker Registries:<\/strong> Docker imajlar\u0131n\u0131n depoland\u0131\u011f\u0131 yerlerdir. Docker Hub, halka a\u00e7\u0131k ve en yayg\u0131n kullan\u0131lan kay\u0131t defteridir. Ayr\u0131ca \u00f6zel kay\u0131t defterleri de olu\u015fturulabilir. docker pull<\/code> komutu ile imajlar kay\u0131t defterinden \u00e7ekilirken, docker push<\/code> komutu ile imajlar kay\u0131t defterine y\u00fcklenir.
\n* Docker Images:<\/strong> Konteyner olu\u015fturmak i\u00e7in kullan\u0131lan salt okunur \u015fablonlard\u0131r. Bir imaj, bir uygulaman\u0131n \u00e7al\u0131\u015fmas\u0131 i\u00e7in gerekli olan t\u00fcm kod, ba\u011f\u0131ml\u0131l\u0131klar ve yap\u0131land\u0131rmalar\u0131 i\u00e7erir. \u0130majlar, katmanl\u0131 bir dosya sistemi yap\u0131s\u0131na sahiptir, bu da depolama verimlili\u011fi sa\u011flar.
\n* Docker Containers:<\/strong> Docker imajlar\u0131n\u0131n \u00e7al\u0131\u015ft\u0131r\u0131labilir \u00f6rnekleridir. Bir imaj bir s\u0131n\u0131f gibiyken, bir konteyner o s\u0131n\u0131f\u0131n bir nesnesi gibidir. Her konteyner, kendi izole edilmi\u015f ortam\u0131nda \u00e7al\u0131\u015f\u0131r.
\n* Docker Volumes:<\/strong> Konteynerler taraf\u0131ndan olu\u015fturulan ve kullan\u0131lan verileri kal\u0131c\u0131 hale getirmek i\u00e7in kullan\u0131lan mekanizmalard\u0131r. Konteynerler silinse bile verilerin kaybolmamas\u0131n\u0131 sa\u011flar.
\n* Docker Networks:<\/strong> Konteynerlerin birbirleriyle ve d\u0131\u015f d\u00fcnya ile ileti\u015fim kurmas\u0131n\u0131 sa\u011flar. Docker, farkl\u0131 a\u011f s\u00fcr\u00fcc\u00fcleri (bridge, host, overlay vb.) sunar.<\/p>\n

Docker Kurulumu ve \u0130lk Ad\u0131mlar<\/h3>\n

Docker’\u0131 kullanmaya ba\u015flamak olduk\u00e7a basittir. Docker Desktop, Windows ve macOS i\u00e7in kullan\u0131\u015fl\u0131 bir kurulum paketi sunarken, Linux da\u011f\u0131t\u0131mlar\u0131 i\u00e7in do\u011frudan paket y\u00f6neticileri arac\u0131l\u0131\u011f\u0131yla kurulum yap\u0131labilir. Kurulum tamamland\u0131ktan sonra, Docker’\u0131n do\u011fru \u00e7al\u0131\u015ft\u0131\u011f\u0131n\u0131 test etmek i\u00e7in birka\u00e7 temel komut kullan\u0131labilir:<\/p>\n

* docker --version<\/code>: Y\u00fckl\u00fc Docker s\u00fcr\u00fcm\u00fcn\u00fc g\u00f6sterir.
\n* docker info<\/code>: Docker sisteminin detayl\u0131 bilgilerini (konteyner say\u0131s\u0131, imaj say\u0131s\u0131 vb.) g\u00f6r\u00fcnt\u00fcler.<\/p>\n

\u0130lk konteynerinizi \u00e7al\u0131\u015ft\u0131rmak i\u00e7in:<\/p>\n

docker run hello-world<\/code><\/pre>\n
Bu komut, hello-world<\/code> imaj\u0131n\u0131 Docker Hub’dan \u00e7eker (e\u011fer yerel olarak mevcut de\u011filse) ve bu imajdan bir konteyner olu\u015fturup \u00e7al\u0131\u015ft\u0131r\u0131r. Ba\u015far\u0131l\u0131 bir \u00e7al\u0131\u015ft\u0131rma, Docker’\u0131n d\u00fczg\u00fcn \u00e7al\u0131\u015ft\u0131\u011f\u0131n\u0131 g\u00f6steren bir mesajla sonu\u00e7lan\u0131r.<\/p>\n
Docker Komutlar\u0131 ve Y\u00f6netimi<\/h3>\n
Docker ile \u00e7al\u0131\u015f\u0131rken, konteynerleri, imajlar\u0131, a\u011flar\u0131 ve depolama birimlerini y\u00f6netmek i\u00e7in \u00e7e\u015fitli komutlara ihtiya\u00e7 duyulur. \u0130\u015fte en s\u0131k kullan\u0131lanlar:<\/p>\n
Konteyner Y\u00f6netimi<\/h4>\n
*   docker run [OPTIONS] IMAGE [COMMAND] [ARG...]<\/code>: Bir imajdan yeni bir konteyner olu\u015fturur ve \u00e7al\u0131\u015ft\u0131r\u0131r.
\n    *   -d<\/code>: Konteyneri arka planda (detached mode) \u00e7al\u0131\u015ft\u0131r\u0131r.
\n    *   -p HOST_PORT:CONTAINER_PORT<\/code>: Konteynerin bir portunu ana bilgisayar\u0131n bir portuna e\u015fler (port forwarding).
\n    *   --name CONTAINER_NAME<\/code>: Konteynere okunabilir bir isim verir.
\n    *   --rm<\/code>: Konteyner durdu\u011funda otomatik olarak kald\u0131r\u0131lmas\u0131n\u0131 sa\u011flar.
\n    *   -it<\/code>: Etkile\u015fimli bir terminal oturumu a\u00e7ar (\u00f6rne\u011fin, bir Bash kabu\u011fu \u00e7al\u0131\u015ft\u0131rmak i\u00e7in).
\n    *   -v HOST_PATH:CONTAINER_PATH<\/code>: Bir ana bilgisayar dizinini konteyner i\u00e7indeki bir dizine ba\u011flar (volume mount).
\n*   docker ps<\/code>: \u00c7al\u0131\u015fan t\u00fcm konteynerleri listeler.
\n*   docker ps -a<\/code>: Durmu\u015f olanlar da dahil olmak \u00fczere t\u00fcm konteynerleri listeler.
\n*   docker start CONTAINER_NAME_OR_ID<\/code>: Durmu\u015f bir konteyneri ba\u015flat\u0131r.
\n*   docker stop CONTAINER_NAME_OR_ID<\/code>: \u00c7al\u0131\u015fan bir konteyneri nazik\u00e7e durdurur.
\n*   docker kill CONTAINER_NAME_OR_ID<\/code>: \u00c7al\u0131\u015fan bir konteyneri zorla sonland\u0131r\u0131r.
\n*   docker restart CONTAINER_NAME_OR_ID<\/code>: Bir konteyneri yeniden ba\u015flat\u0131r.
\n*   docker rm CONTAINER_NAME_OR_ID<\/code>: Bir konteyneri siler. Sadece durmu\u015f konteynerler silinebilir.
\n*   docker exec -it CONTAINER_NAME_OR_ID COMMAND<\/code>: \u00c7al\u0131\u015fan bir konteyner i\u00e7inde bir komut \u00e7al\u0131\u015ft\u0131r\u0131r. Genellikle bir kabuk oturumu a\u00e7mak i\u00e7in kullan\u0131l\u0131r (docker exec -it my_container bash<\/code>).
\n*   docker logs CONTAINER_NAME_OR_ID<\/code>: Bir konteynerin standart \u00e7\u0131kt\u0131 (stdout) ve standart hata (stderr) g\u00fcnl\u00fcklerini g\u00f6r\u00fcnt\u00fcler.
\n*   docker inspect CONTAINER_NAME_OR_ID<\/code>: Bir konteynerin d\u00fc\u015f\u00fck seviyeli yap\u0131land\u0131rma bilgilerini JSON format\u0131nda g\u00f6sterir.<\/p>\n
\u0130maj Y\u00f6netimi<\/h4>\n
*   docker pull IMAGE_NAME[:TAG]<\/code>: Bir imaj\u0131 Docker Hub’dan veya yap\u0131land\u0131r\u0131lm\u0131\u015f ba\u015fka bir kay\u0131t defterinden \u00e7eker.
\n*   docker images<\/code>: Yerel olarak depolanm\u0131\u015f t\u00fcm imajlar\u0131 listeler.
\n*   docker rmi IMAGE_NAME_OR_ID<\/code>: Bir imaj\u0131 yerel depodan siler.
\n*   docker search KEYWORD<\/code>: Docker Hub’da anahtar kelimeye g\u00f6re imaj arar.<\/p>\n
Volume Y\u00f6netimi<\/h4>\n
*   docker volume create VOLUME_NAME<\/code>: Yeni bir Docker volume olu\u015fturur.
\n*   docker volume ls<\/code>: Mevcut Docker volume’lerini listeler.
\n*   docker volume rm VOLUME_NAME<\/code>: Bir Docker volume’\u00fcn\u00fc siler.<\/p>\n
Network Y\u00f6netimi<\/h4>\n
*   docker network ls<\/code>: Mevcut Docker a\u011flar\u0131n\u0131 listeler.
\n*   docker network create NETWORK_NAME<\/code>: Yeni bir \u00f6zel a\u011f olu\u015fturur.
\n*   docker run --network NETWORK_NAME ...<\/code>: Bir konteyneri belirli bir a\u011fa ba\u011flar.<\/p>\n
Dockerfile ile \u0130maj Olu\u015fturma<\/h3>\n
Docker’\u0131n g\u00fcc\u00fcn\u00fcn \u00f6nemli bir k\u0131sm\u0131, kendi \u00f6zel imajlar\u0131n\u0131z\u0131 olu\u015fturabilme yetene\u011finden gelir. Bu, bir Dockerfile<\/code> ad\u0131 verilen basit bir metin dosyas\u0131 arac\u0131l\u0131\u011f\u0131yla yap\u0131l\u0131r. Dockerfile<\/code>, Docker’a bir imaj\u0131 ad\u0131m ad\u0131m nas\u0131l derlemesi gerekti\u011fini s\u00f6yleyen bir dizi talimat i\u00e7erir.<\/p>\n
Basit bir Dockerfile<\/code> \u00f6rne\u011fi:<\/p>\n
# Temel imaj\u0131 belirle\nFROM ubuntu:22.04\n\n
Bak\u0131mc\u0131 bilgilerini ayarla<\/h2>\nLABEL maintainer=\"senin_ad\u0131n \"\n\n
Konteyner i\u00e7inde \u00e7al\u0131\u015fma dizinini belirle<\/h2>\nWORKDIR \/app\n\n
Uygulama dosyalar\u0131n\u0131 konteynere kopyala<\/h2>\nCOPY . \/app\n\n
Gerekli ba\u011f\u0131ml\u0131l\u0131klar\u0131 y\u00fckle<\/h2>\nRUN apt-get update && \\\n    apt-get install -y python3 python3-pip && \\\n    pip3 install -r requirements.txt\n\n
Konteynerin d\u0131\u015far\u0131ya a\u00e7aca\u011f\u0131 portu belirt (dok\u00fcmantasyon ama\u00e7l\u0131)<\/h2>\nEXPOSE 5000\n\n
Konteyner ba\u015flat\u0131ld\u0131\u011f\u0131nda \u00e7al\u0131\u015ft\u0131r\u0131lacak varsay\u0131lan komut<\/h2>\nCMD [\"python3\", \"app.py\"]<\/code><\/pre>\n
Yukar\u0131daki Dockerfile<\/code>‘daki temel talimatlar \u015funlard\u0131r:<\/p>\n
*   FROM<\/code>: \u0130maj\u0131n temelini olu\u015fturan ana imaj\u0131 belirtir. Genellikle bir i\u015fletim sistemi (Ubuntu, Alpine) veya bir runtime (Node, Python) imaj\u0131 kullan\u0131l\u0131r.
\n*   LABEL<\/code>: \u0130maj hakk\u0131nda metadata ekler.
\n*   WORKDIR<\/code>: Sonraki RUN<\/code>, CMD<\/code>, ENTRYPOINT<\/code>, ADD<\/code>, COPY<\/code> komutlar\u0131 i\u00e7in \u00e7al\u0131\u015fma dizinini ayarlar.
\n*   COPY<\/code>: Yerel dosya veya dizinleri imaj\u0131n dosya sistemine kopyalar.
\n*   RUN<\/code>: \u0130maj olu\u015fturma s\u0131ras\u0131nda \u00e7al\u0131\u015ft\u0131r\u0131lacak komutlar\u0131 belirtir. Genellikle paket kurulumu veya uygulama derleme gibi i\u015flemler i\u00e7in kullan\u0131l\u0131r. Her RUN<\/code> komutu yeni bir imaj katman\u0131 olu\u015fturur.
\n*   EXPOSE<\/code>: Konteynerin belirli bir portu dinledi\u011fini belgelendirir. Bu, otomatik olarak port e\u015flemesi yapmaz.
\n*   CMD<\/code>: Konteyner ba\u015flat\u0131ld\u0131\u011f\u0131nda \u00e7al\u0131\u015ft\u0131r\u0131lacak varsay\u0131lan komutu veya arg\u00fcmanlar\u0131 sa\u011flar. Bir Dockerfile<\/code>‘da yaln\u0131zca bir CMD<\/code> olabilir.
\n*   ENTRYPOINT<\/code>: Konteyner \u00e7al\u0131\u015ft\u0131\u011f\u0131nda y\u00fcr\u00fct\u00fclecek ana komutu belirtir. CMD<\/code> ile birlikte kullan\u0131ld\u0131\u011f\u0131nda, CMD<\/code> ENTRYPOINT<\/code> i\u00e7in arg\u00fcman sa\u011flar.<\/p>\n
\u0130maj\u0131 olu\u015fturmak i\u00e7in:<\/p>\n
docker build -t my-python-app:1.0 .<\/code><\/pre>\n
*   -t my-python-app:1.0<\/code>: Olu\u015fturulan imaja my-python-app<\/code> ad\u0131n\u0131 ve 1.0<\/code> etiketini verir.
\n*   .<\/code>: Dockerfile<\/code>‘\u0131n ve uygulama ba\u011flam\u0131n\u0131n (context) bulundu\u011fu dizini belirtir.<\/p>\n
\u0130maj olu\u015fturulduktan sonra, onu \u00e7al\u0131\u015ft\u0131rmak i\u00e7in:<\/p>\n
docker run -p 5000:5000 my-python-app:1.0<\/code><\/pre>\n
#### Dockerfile En \u0130yi Pratikleri<\/p>\n
*   K\u00fc\u00e7\u00fck Temel \u0130majlar Kullan\u0131n:<\/strong> alpine<\/code> gibi hafif temel imajlar, daha k\u00fc\u00e7\u00fck ve daha h\u0131zl\u0131 imajlar olu\u015fturmaya yard\u0131mc\u0131 olur.
\n*   Katman \u00d6nbelle\u011fini Kullan\u0131n:<\/strong> Dockerfile<\/code> talimatlar\u0131 yukar\u0131dan a\u015fa\u011f\u0131ya do\u011fru y\u00fcr\u00fct\u00fcl\u00fcr ve her talimat bir katman olu\u015fturur. De\u011fi\u015fmeyen katmanlar \u00f6nbellekten al\u0131n\u0131r. Bu nedenle, s\u0131k de\u011fi\u015fen talimatlar\u0131 (\u00f6rne\u011fin uygulama kodunu kopyalama) Dockerfile<\/code>‘\u0131n sonlar\u0131na do\u011fru yerle\u015ftirin.
\n*   RUN<\/code> Komutlar\u0131n\u0131 Birle\u015ftirin:<\/strong> Birden fazla RUN<\/code> komutu yerine, mant\u0131ksal olarak ili\u015fkili komutlar\u0131 tek bir RUN<\/code> komutunda birle\u015ftirmek (&&<\/code> ile) daha az katman olu\u015fturur ve imaj boyutunu azalt\u0131r.
\n*   .dockerignore<\/code> Kullan\u0131n:<\/strong> git ignore<\/code> dosyas\u0131na benzer \u015fekilde, imaj olu\u015fturma ba\u011flam\u0131na dahil edilmemesi gereken dosyalar\u0131 ve dizinleri belirtmek i\u00e7in .dockerignore<\/code> dosyas\u0131 kullan\u0131n (\u00f6rne\u011fin, node_modules<\/code>, .git<\/code>).
\n*   \u00c7ok A\u015famal\u0131 Derlemeler (Multi-stage Builds):<\/strong> Derleme ba\u011f\u0131ml\u0131l\u0131klar\u0131 ile \u00e7al\u0131\u015fma zaman\u0131 ba\u011f\u0131ml\u0131l\u0131klar\u0131n\u0131 ay\u0131rmak i\u00e7in \u00e7ok a\u015famal\u0131 derlemeler kullan\u0131n. Bu, nihai imaj\u0131n boyutunu \u00f6nemli \u00f6l\u00e7\u00fcde k\u00fc\u00e7\u00fclt\u00fcr.<\/p>\n
Docker Compose: \u00c7oklu Konteyner Uygulamalar\u0131<\/h3>\n
Ger\u00e7ek d\u00fcnya uygulamalar\u0131 genellikle birden fazla hizmetten olu\u015fur (\u00f6rne\u011fin, bir web uygulamas\u0131, bir veritaban\u0131, bir \u00f6nbellek sunucusu). Bu t\u00fcr \u00e7oklu konteyner uygulamalar\u0131n\u0131 tek tek docker run<\/code> komutlar\u0131yla y\u00f6netmek karma\u015f\u0131k ve hataya a\u00e7\u0131k olabilir. \u0130\u015fte bu noktada Docker Compose devreye girer.<\/p>\n
Docker Compose, \u00e7oklu konteyner Docker uygulamalar\u0131n\u0131 tan\u0131mlamak ve \u00e7al\u0131\u015ft\u0131rmak i\u00e7in bir ara\u00e7t\u0131r. Bir docker-compose.yml<\/code> dosyas\u0131 kullanarak, uygulaman\u0131z\u0131n t\u00fcm hizmetlerini, a\u011flar\u0131n\u0131 ve depolama birimlerini tek bir dosyada yap\u0131land\u0131rabilirsiniz. Ard\u0131ndan, tek bir komutla t\u00fcm uygulamay\u0131 ba\u015flatabilir, durdurabilir veya y\u00f6netebilirsiniz.<\/p>\n
Basit bir docker-compose.yml<\/code> \u00f6rne\u011fi (bir web uygulamas\u0131 ve PostgreSQL veritaban\u0131):<\/p>\n
version: '3.8'\nservices:\n  web:\n    build: .\n    ports:\n      - \"8000:8000\"\n    environment:\n      DATABASE_URL: postgres:\/\/user:password@db:5432\/mydatabase\n    depends_on:\n      - db\n  db:\n    image: postgres:13\n    environment:\n      POSTGRES_DB: mydatabase\n      POSTGRES_USER: user\n      POSTGRES_PASSWORD: password\n    volumes:\n      - db_data:\/var\/lib\/postgresql\/data\n\nvolumes:\n  db_data:<\/code><\/pre>\n
Bu docker-compose.yml<\/code> dosyas\u0131 \u015funlar\u0131 tan\u0131mlar:<\/p>\n
*   web<\/code> hizmeti: Mevcut dizindeki Dockerfile<\/code>‘dan derlenir, ana bilgisayar\u0131n 8000 portunu konteynerin 8000 portuna e\u015fler, veritaban\u0131 ba\u011flant\u0131 bilgilerini ortam de\u011fi\u015fkeni olarak ayarlar ve db<\/code> hizmetine ba\u011f\u0131ml\u0131d\u0131r.
\n*   db<\/code> hizmeti: postgres:13<\/code> imaj\u0131n\u0131 kullan\u0131r, veritaban\u0131 kullan\u0131c\u0131 ad\u0131, \u015fifresi ve veritaban\u0131 ad\u0131n\u0131 ortam de\u011fi\u015fkenleri arac\u0131l\u0131\u011f\u0131yla yap\u0131land\u0131r\u0131r ve verileri db_data<\/code> adl\u0131 bir volume’de kal\u0131c\u0131 hale getirir.
\n*   volumes<\/code>: db_data<\/code> ad\u0131nda bir volume tan\u0131mlar.<\/p>\n
Docker Compose komutlar\u0131:<\/p>\n
*   docker-compose up<\/code>: docker-compose.yml<\/code> dosyas\u0131nda tan\u0131mlanan t\u00fcm hizmetleri olu\u015fturur ve ba\u015flat\u0131r.
\n    *   -d<\/code>: Hizmetleri arka planda \u00e7al\u0131\u015ft\u0131r\u0131r.
\n*   docker-compose down<\/code>: \u00c7al\u0131\u015fan t\u00fcm hizmetleri durdurur ve kald\u0131r\u0131r (varsay\u0131lan olarak volume’leri kald\u0131rmaz).
\n*   docker-compose ps<\/code>: Compose projesindeki hizmetlerin durumunu g\u00f6sterir.
\n*   docker-compose logs<\/code>: T\u00fcm hizmetlerin veya belirli bir hizmetin g\u00fcnl\u00fcklerini g\u00f6sterir.
\n*   docker-compose exec SERVICE_NAME COMMAND<\/code>: \u00c7al\u0131\u015fan bir hizmet konteyneri i\u00e7inde bir komut \u00e7al\u0131\u015ft\u0131r\u0131r.<\/p>\n
Docker Swarm ve Kubernetes’e Giri\u015f: Konteyner Orkestrasyonu<\/h3>\n
Tek bir sunucuda konteyner \u00e7al\u0131\u015ft\u0131rmak kolayd\u0131r, ancak y\u00fczlerce veya binlerce konteyneri birden fazla sunucu \u00fczerinde y\u00f6netmek, da\u011f\u0131tmak, \u00f6l\u00e7eklendirmek ve dengelemek i\u00e7in “konteyner orkestrasyonu” ara\u00e7lar\u0131na ihtiya\u00e7 duyulur. En pop\u00fcler iki orkestrasyon arac\u0131 Docker Swarm ve Kubernetes’tir.<\/p>\n
Docker Swarm<\/h4>\n
Docker Swarm, Docker’\u0131n kendi yerle\u015fik konteyner orkestrasyon arac\u0131d\u0131r. Docker Engine ile entegre oldu\u011fu i\u00e7in kurulumu ve kullan\u0131m\u0131 nispeten basittir. Swarm modu etkinle\u015ftirildi\u011finde, birden fazla Docker ana bilgisayar\u0131 bir “swarm” olu\u015fturmak \u00fczere bir araya getirilebilir. Bu swarm i\u00e7inde, ana bilgisayarlar “y\u00f6netici” (manager) veya “i\u015f\u00e7i” (worker) d\u00fc\u011f\u00fcmleri olarak i\u015flev g\u00f6r\u00fcr.<\/p>\n
*   Y\u00f6netici D\u00fc\u011f\u00fcmler:<\/strong> K\u00fcmenin durumunu y\u00f6netir, g\u00f6revleri i\u015f\u00e7i d\u00fc\u011f\u00fcmlerine da\u011f\u0131t\u0131r ve k\u00fcmenin sa\u011fl\u0131\u011f\u0131n\u0131 izler.
\n*   \u0130\u015f\u00e7i D\u00fc\u011f\u00fcmler:<\/strong> Y\u00f6netici d\u00fc\u011f\u00fcmlerinden gelen g\u00f6revleri (konteyner \u00e7al\u0131\u015ft\u0131rma) yerine getirir.<\/p>\n
Docker Swarm, “hizmetler” (services) kavram\u0131n\u0131 kullan\u0131r. Bir hizmet, bir imaj\u0131n ka\u00e7 kopyas\u0131n\u0131n (replika) \u00e7al\u0131\u015fmas\u0131 gerekti\u011fini ve bu kopyalar\u0131n nas\u0131l da\u011f\u0131t\u0131laca\u011f\u0131n\u0131 tan\u0131mlar. Docker Compose dosyalar\u0131 da Swarm hizmetleri olarak da\u011f\u0131t\u0131labilir.<\/p>\n
Kubernetes<\/h4>\n
Kubernetes (K8s), Google taraf\u0131ndan geli\u015ftirilen ve \u015fu anda Cloud Native Computing Foundation (CNCF) taraf\u0131ndan y\u00f6netilen a\u00e7\u0131k kaynakl\u0131 bir konteyner orkestrasyon platformudur. Docker Swarm’dan daha karma\u015f\u0131k ve kapsaml\u0131d\u0131r, ancak end\u00fcstri standard\u0131 haline gelmi\u015ftir ve b\u00fcy\u00fck \u00f6l\u00e7ekli, \u00fcretim ortamlar\u0131 i\u00e7in tercih edilen \u00e7\u00f6z\u00fcmd\u00fcr.<\/p>\n
Kubernetes, bir dizi soyutlama katman\u0131 ve bile\u015fenle \u00e7al\u0131\u015f\u0131r:<\/p>\n
*   Podlar:<\/strong> Kubernetes’teki en k\u00fc\u00e7\u00fck da\u011f\u0131t\u0131labilir birimdir. Bir veya daha fazla konteyner i\u00e7erir.
\n*   Deployments:<\/strong> Podlar\u0131n nas\u0131l olu\u015fturulaca\u011f\u0131n\u0131, g\u00fcncellenece\u011fini ve \u00f6l\u00e7eklendirilece\u011fini tan\u0131mlar.
\n*   Services:<\/strong> Bir grup Pod’a a\u011f eri\u015fimi sa\u011flar ve y\u00fck dengeleme yapar.
\n*   Ingress:<\/strong> K\u00fcme d\u0131\u015f\u0131ndan gelen HTTP\/HTTPS trafi\u011fini hizmetlere y\u00f6nlendirir.<\/p>\n
Kubernetes, otomatik \u00f6l\u00e7eklendirme, kendi kendini iyile\u015ftirme, rolling g\u00fcncellemeler, depolama entegrasyonu ve daha bir\u00e7ok geli\u015fmi\u015f \u00f6zellik sunar. \u00d6\u011frenme e\u011frisi daha dik olsa da, modern bulut tabanl\u0131 uygulamalar\u0131n omurgas\u0131n\u0131 olu\u015fturur.<\/p>\n
Docker Konteynerleri ile \u00c7al\u0131\u015fman\u0131n Avantajlar\u0131<\/h3>\n
Docker konteynerleri, yaz\u0131l\u0131m geli\u015ftirme ve da\u011f\u0131t\u0131m s\u00fcre\u00e7lerine bir dizi \u00f6nemli avantaj getirir:<\/p>\n
*   Tutarl\u0131l\u0131k ve Ta\u015f\u0131nabilirlik:<\/strong> Uygulamalar ve ba\u011f\u0131ml\u0131l\u0131klar\u0131 tek bir pakette topland\u0131\u011f\u0131 i\u00e7in, “benim makinemde \u00e7al\u0131\u015f\u0131yor” sorunu ortadan kalkar. Konteyner, herhangi bir Docker y\u00fckl\u00fc ortamda ayn\u0131 \u015fekilde \u00e7al\u0131\u015f\u0131r.
\n*   Kaynak Verimlili\u011fi:<\/strong> Sanal makinelerden farkl\u0131 olarak, konteynerler i\u015fletim sistemi \u00e7ekirde\u011fini payla\u015f\u0131r. Bu, daha az kaynak t\u00fcketmeleri (RAM, CPU) ve daha h\u0131zl\u0131 ba\u015flamalar\u0131 anlam\u0131na gelir. Bir sunucuda daha fazla konteyner \u00e7al\u0131\u015ft\u0131r\u0131labilir.
\n*   H\u0131zl\u0131 Da\u011f\u0131t\u0131m ve \u00d6l\u00e7eklenebilirlik:<\/strong> Konteynerler saniyeler i\u00e7inde ba\u015flat\u0131labilir, bu da h\u0131zl\u0131 da\u011f\u0131t\u0131m ve esnek \u00f6l\u00e7eklendirme imkan\u0131 sunar. \u0130htiyaca g\u00f6re kolayca yeni konteyner \u00f6rnekleri eklenebilir veya kald\u0131r\u0131labilir.
\n*   \u0130zolasyon ve G\u00fcvenlik:<\/strong> Her konteyner kendi izole edilmi\u015f ortam\u0131nda \u00e7al\u0131\u015f\u0131r. Bir konteynerdeki sorunlar di\u011ferlerini etkilemez. Bu izolasyon, g\u00fcvenlik a\u00e7\u0131klar\u0131n\u0131n yay\u0131lmas\u0131n\u0131 da s\u0131n\u0131rlar.
\n*   DevOps ve CI\/CD Entegrasyonu:<\/strong> Docker, s\u00fcrekli entegrasyon (CI) ve s\u00fcrekli da\u011f\u0131t\u0131m (CD) s\u00fcre\u00e7lerine m\u00fckemmel bir \u015fekilde entegre olur. Geli\u015ftirme, test ve \u00fcretim ortamlar\u0131 aras\u0131nda tutarl\u0131l\u0131k sa\u011flayarak da\u011f\u0131t\u0131m boru hatlar\u0131n\u0131 basitle\u015ftirir.
\n*   Geli\u015ftirici Deneyimi:<\/strong> Geli\u015ftiriciler, farkl\u0131 ba\u011f\u0131ml\u0131l\u0131klar\u0131 olan projeler aras\u0131nda kolayca ge\u00e7i\u015f yapabilir, geli\u015ftirme ortamlar\u0131n\u0131 h\u0131zl\u0131ca kurabilir ve payda\u015flarla tutarl\u0131 ortamlar payla\u015fabilir.<\/p>\n
Potansiyel Zorluklar ve Dikkat Edilmesi Gerekenler<\/h3>\n
Docker’\u0131n bir\u00e7ok avantaj\u0131 olsa da, baz\u0131 zorluklar\u0131 ve dikkat edilmesi gereken noktalar\u0131 vard\u0131r:<\/p>\n
*   Depolama Y\u00f6netimi:<\/strong> Konteynerler varsay\u0131lan olarak ge\u00e7icidir. Kal\u0131c\u0131 veriler i\u00e7in Volume’ler veya bind mount’lar kullan\u0131lmal\u0131d\u0131r. Do\u011fru depolama stratejisini se\u00e7mek \u00f6nemlidir.
\n*   A\u011f Y\u00f6netimi:<\/strong> \u00d6zellikle \u00e7oklu konteyner uygulamalar\u0131 ve orkestrasyon ortamlar\u0131nda a\u011f yap\u0131land\u0131rmalar\u0131 karma\u015f\u0131k hale gelebilir. Konteynerler aras\u0131 ileti\u015fim, port e\u015flemeleri ve a\u011f segmentasyonu dikkatli planlama gerektirir.
\n*   G\u00fcvenlik:<\/strong> \u0130majlar\u0131n g\u00fcvenli\u011fi kritiktir. Bilinmeyen veya g\u00fcncel olmayan temel imajlar kullanmak, g\u00fcvenlik a\u00e7\u0131klar\u0131 i\u00e7erebilir. \u0130majlar\u0131 d\u00fczenli olarak taramak ve en az ayr\u0131cal\u0131k ilkesini uygulamak \u00f6nemlidir.
\n*   Kaynak T\u00fcketimi:<\/strong> Konteynerler hafif olsa da, \u00e7ok say\u0131da konteyner \u00e7al\u0131\u015ft\u0131rmak veya k\u00f6t\u00fc optimize edilmi\u015f imajlar kullanmak yine de sistem kaynaklar\u0131n\u0131 (CPU, RAM) zorlayabilir. Kaynak s\u0131n\u0131rlar\u0131 belirlemek faydal\u0131 olabilir.
\n*   \u00d6\u011frenme E\u011frisi:<\/strong> Docker’\u0131n temel kullan\u0131m\u0131 kolay olsa da, Dockerfile optimizasyonu, Docker Compose ile karma\u015f\u0131k uygulamalar\u0131 y\u00f6netme ve \u00f6zellikle Kubernetes gibi orkestrasyon ara\u00e7lar\u0131 i\u00e7in \u00f6nemli bir \u00f6\u011frenme e\u011frisi vard\u0131r.
\n*   G\u00f6zlem ve \u0130zleme:<\/strong> Konteynerize edilmi\u015f uygulamalar\u0131 izlemek, geleneksel uygulamalara g\u00f6re farkl\u0131 ara\u00e7lar ve yakla\u015f\u0131mlar gerektirebilir. Konteyner g\u00fcnl\u00fcklerini, metriklerini ve sa\u011fl\u0131\u011f\u0131n\u0131 izlemek i\u00e7in uygun \u00e7\u00f6z\u00fcmlerin entegrasyonu \u00f6nemlidir.<\/p>\n
Sonu\u00e7<\/h3>\n
Docker konteynerleri, modern yaz\u0131l\u0131m geli\u015ftirme ve da\u011f\u0131t\u0131m paradigmalar\u0131n\u0131 k\u00f6kten de\u011fi\u015ftirmi\u015ftir. Uygulamalar\u0131n paketlenmesi, ta\u015f\u0131nmas\u0131 ve \u00e7al\u0131\u015ft\u0131r\u0131lmas\u0131 \u015feklini basitle\u015ftirerek, geli\u015ftiriciler ve operasyon ekipleri aras\u0131nda k\u00f6pr\u00fc kurmu\u015ftur. Tutarl\u0131l\u0131k, ta\u015f\u0131nabilirlik, kaynak verimlili\u011fi ve h\u0131zl\u0131 da\u011f\u0131t\u0131m gibi sundu\u011fu avantajlar, onu DevOps ve bulut yerel (cloud-native) mimarilerin vazge\u00e7ilmez bir bile\u015feni haline getirmi\u015ftir.<\/p>\n
Tek bir geli\u015ftirme makinesinden b\u00fcy\u00fck \u00f6l\u00e7ekli \u00fcretim ortamlar\u0131na kadar her yerde kullan\u0131labilen Docker, yaz\u0131l\u0131m\u0131n ya\u015fam d\u00f6ng\u00fcs\u00fcn\u00fc h\u0131zland\u0131r\u0131r ve operasyonel karma\u015f\u0131kl\u0131\u011f\u0131 azalt\u0131r. Docker Compose gibi ara\u00e7lar \u00e7oklu hizmet uygulamalar\u0131n\u0131 y\u00f6netmeyi kolayla\u015ft\u0131r\u0131rken, Kubernetes gibi orkestrasyon platformlar\u0131 b\u00fcy\u00fck \u00f6l\u00e7ekli da\u011f\u0131t\u0131mlar\u0131n y\u00f6netimini m\u00fcmk\u00fcn k\u0131lar.<\/p>\n
Docker’\u0131n g\u00fcc\u00fcn\u00fc anlamak ve onu etkili bir \u015fekilde kullanmak, g\u00fcn\u00fcm\u00fcz\u00fcn rekabet\u00e7i teknoloji d\u00fcnyas\u0131nda her yaz\u0131l\u0131m profesyoneli i\u00e7in temel bir beceri haline gelmi\u015ftir. Gelecekte de konteyner teknolojilerinin ve etraf\u0131ndaki ekosistemin geli\u015fmeye devam edece\u011fi ve yaz\u0131l\u0131m d\u00fcnyas\u0131n\u0131n temel ta\u015flar\u0131ndan biri olmaya devam edece\u011fi a\u00e7\u0131kt\u0131r.<\/body><\/p>\n","protected":false},"excerpt":{"rendered":"Docker Konteynerleri ile \u00c7al\u0131\u015fmak: Modern Uygulama Geli\u015ftirmenin Temel Ta\u015f\u0131\nModern yaz\u0131l\u0131m geli\u015ftirme d\u00fcnyas\u0131nda, uygulamalar\u0131n tutarl\u0131,","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"csco_page_header_type":"","csco_page_load_nextpost":"","csco_page_subscribe_form":"","csco_page_contact_form":"","footnotes":""},"categories":[1407],"tags":[],"class_list":{"0":"post-37373","1":"post","2":"type-post","3":"status-publish","4":"format-standard","6":"category-docker","7":"cs-entry","8":"cs-video-wrap"},"yoast_head":"\nDocker Konteynerleri ile \u00c7al\u0131\u015fmak: Modern Uygulama Geli\u015ftirmenin Temel Ta\u015f\u0131 - 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