{"id":38631,"date":"2026-02-04T13:30:42","date_gmt":"2026-02-04T10:30:42","guid":{"rendered":"https:\/\/fatihsoysal.com\/blog\/docker-kapsayici-sorunlarini-giderme-kapsamli-bir-rehber\/"},"modified":"2026-02-04T13:30:42","modified_gmt":"2026-02-04T10:30:42","slug":"docker-kapsayici-sorunlarini-giderme-kapsamli-bir-rehber","status":"publish","type":"post","link":"https:\/\/fatihsoysal.com\/blog\/docker-kapsayici-sorunlarini-giderme-kapsamli-bir-rehber\/","title":{"rendered":"Docker Kapsay\u0131c\u0131 Sorunlar\u0131n\u0131 Giderme: Kapsaml\u0131 Bir Rehber"},"content":{"rendered":"

Docker Kapsay\u0131c\u0131 Sorunlar\u0131n\u0131 Giderme: Kapsaml\u0131 Bir Rehber<\/h2>\n

Docker, modern yaz\u0131l\u0131m geli\u015ftirme ve da\u011f\u0131t\u0131m s\u00fcre\u00e7lerinin vazge\u00e7ilmez bir par\u00e7as\u0131 haline gelmi\u015ftir. Uygulamalar\u0131 kapsay\u0131c\u0131lar i\u00e7inde izole bir \u015fekilde \u00e7al\u0131\u015ft\u0131rma yetene\u011fi sayesinde tutarl\u0131l\u0131k, ta\u015f\u0131nabilirlik ve verimlilik sa\u011flar. Ancak, her teknoloji gibi Docker da zaman zaman sorunlarla kar\u015f\u0131la\u015fabiliriz. Bir kapsay\u0131c\u0131n\u0131n ba\u015flamamas\u0131, beklenmedik \u015fekilde durmas\u0131, a\u011f ba\u011flant\u0131s\u0131 kuramamas\u0131 veya performans sorunlar\u0131 ya\u015famas\u0131 gibi durumlar, geli\u015ftiriciler ve sistem y\u00f6neticileri i\u00e7in can s\u0131k\u0131c\u0131 olabilir. Bu makale, Docker kapsay\u0131c\u0131lar\u0131nda ortaya \u00e7\u0131kabilecek yayg\u0131n sorunlar\u0131 tan\u0131mlaman\u0131za, te\u015fhis etmenize ve \u00e7\u00f6zmenize yard\u0131mc\u0131 olacak kapsaml\u0131 bir rehber sunmaktad\u0131r. Temel komutlardan geli\u015fmi\u015f hata ay\u0131klama tekniklerine kadar bir\u00e7ok konuyu ele alarak, Docker ortam\u0131n\u0131zda kar\u015f\u0131la\u015ft\u0131\u011f\u0131n\u0131z problemleri etkili bir \u015fekilde a\u015fman\u0131z\u0131 sa\u011flayacak bilgi ve ara\u00e7lar\u0131 sunaca\u011f\u0131z.<\/p>\n

1. Temel Docker Komutlar\u0131 ve Bilgi Toplama<\/h2>\n

Sorun gidermeye ba\u015flamadan \u00f6nce, Docker ortam\u0131n\u0131z hakk\u0131nda temel bilgileri toplamak ve kapsay\u0131c\u0131lar\u0131n genel durumunu anlamak kritik \u00f6neme sahiptir. Do\u011fru komutlarla ba\u015flayarak sorunun k\u00f6kenine daha h\u0131zl\u0131 inebilirsiniz.<\/p>\n

1.1. Docker Ortam\u0131n\u0131n Durumunu Kontrol Etme<\/h3>\n

Docker daemon’unun \u00e7al\u0131\u015f\u0131p \u00e7al\u0131\u015fmad\u0131\u011f\u0131n\u0131 kontrol etmek, sorun gidermenin ilk ad\u0131m\u0131d\u0131r. Daemon \u00e7al\u0131\u015fm\u0131yorsa hi\u00e7bir kapsay\u0131c\u0131 \u00e7al\u0131\u015fmaz. Sistem servislerini kontrol ederek durumu teyit edebilirsiniz.<\/p>\n

sudo systemctl status docker<\/pre>\n
<\/code><\/p>\n
E\u011fer \u00e7al\u0131\u015fm\u0131yorsa, a\u015fa\u011f\u0131daki komutla ba\u015flatmay\u0131 deneyebilirsiniz:<\/p>\n
sudo systemctl start docker<\/pre>\n
<\/code><\/p>\n
1.2. \u00c7al\u0131\u015fan ve Durmu\u015f Kapsay\u0131c\u0131lar\u0131 Listeleme<\/h3>\n
Hangi kapsay\u0131c\u0131lar\u0131n \u00e7al\u0131\u015ft\u0131\u011f\u0131n\u0131 veya yak\u0131n zamanda durdu\u011funu g\u00f6rmek, sorunun belirli bir kapsay\u0131c\u0131yla m\u0131 yoksa genel bir sistem sorunuyla m\u0131 ilgili oldu\u011funu anlaman\u0131za yard\u0131mc\u0131 olur. -a<\/code> bayra\u011f\u0131, durmu\u015f kapsay\u0131c\u0131lar\u0131 da g\u00f6sterir.<\/p>\n
docker ps          # Sadece \u00e7al\u0131\u015fan kapsay\u0131c\u0131lar\u0131 listeler\ndocker ps -a       # T\u00fcm kapsay\u0131c\u0131lar\u0131 (\u00e7al\u0131\u015fan ve durmu\u015f) listeler<\/pre>\n
<\/code><\/p>\n
Bu komutlar, kapsay\u0131c\u0131 ID'si, imaj\u0131, komutu, olu\u015fturulma zaman\u0131, durumu, portlar\u0131 ve ad\u0131 gibi \u00f6nemli bilgileri sunar.<\/p>\n
1.3. Kapsay\u0131c\u0131 ve \u0130maj Bilgilerini \u0130nceleme<\/h3>\n
Bir kapsay\u0131c\u0131n\u0131n veya imaj\u0131n detayl\u0131 yap\u0131land\u0131rmas\u0131n\u0131 incelemek, \u00f6zellikle a\u011f ayarlar\u0131, volume'ler, ortam de\u011fi\u015fkenleri ve ba\u015flang\u0131\u00e7 komutlar\u0131 gibi bilgiler i\u00e7in \u00e7ok de\u011ferlidir. docker inspect<\/code> komutu, JSON format\u0131nda kapsaml\u0131 veri sa\u011flar.<\/p>\n
docker inspect \ndocker inspect <\/pre>\n
<\/code><\/p>\n
Bu komutun \u00e7\u0131kt\u0131s\u0131, kapsay\u0131c\u0131n\u0131n nas\u0131l yap\u0131land\u0131r\u0131ld\u0131\u011f\u0131na dair derinlemesine bilgi edinmenizi sa\u011flar.<\/p>\n
2. Kapsay\u0131c\u0131 Durumu ve Log Analizi<\/h2>\n
Bir kapsay\u0131c\u0131n\u0131n neden d\u00fczg\u00fcn \u00e7al\u0131\u015fmad\u0131\u011f\u0131n\u0131 anlaman\u0131n en do\u011frudan yollar\u0131ndan biri, onun durumunu kontrol etmek ve \u00fcretti\u011fi loglar\u0131 incelemektir. Loglar, genellikle hatan\u0131n k\u00f6kenine dair kritik ipu\u00e7lar\u0131 bar\u0131nd\u0131r\u0131r.<\/p>\n
2.1. Kapsay\u0131c\u0131 Loglar\u0131n\u0131 G\u00f6r\u00fcnt\u00fcleme<\/h3>\n
Kapsay\u0131c\u0131lar, standart \u00e7\u0131kt\u0131 (stdout) ve standart hata (stderr) ak\u0131\u015flar\u0131na mesajlar g\u00f6nderirler. Docker, bu ak\u0131\u015flar\u0131 yakalar ve log olarak saklar. Loglar\u0131 incelemek, uygulaman\u0131n i\u00e7inde ne olup bitti\u011fini anlaman\u0131n en h\u0131zl\u0131 yoludur.<\/p>\n
docker logs          # T\u00fcm loglar\u0131 g\u00f6sterir\ndocker logs -f       # Loglar\u0131 canl\u0131 olarak takip eder\ndocker logs --tail 100  # Son 100 sat\u0131r\u0131 g\u00f6sterir<\/pre>\n
<\/code><\/p>\n
Uygulama hatalar\u0131, yap\u0131land\u0131rma sorunlar\u0131 veya ba\u011f\u0131ml\u0131l\u0131k eksiklikleri genellikle burada g\u00f6r\u00fcn\u00fcr.<\/p>\n
2.2. Kapsay\u0131c\u0131y\u0131 Yeniden Ba\u015flatma ve Hata Ay\u0131klama Modunda \u00c7al\u0131\u015ft\u0131rma<\/h3>\n
Bazen basit bir yeniden ba\u015flatma, ge\u00e7ici sorunlar\u0131 \u00e7\u00f6zebilir. E\u011fer sorun devam ediyorsa, kapsay\u0131c\u0131y\u0131 hata ay\u0131klama modunda veya daha fazla loglama \u00e7\u0131kt\u0131s\u0131 verecek \u015fekilde \u00e7al\u0131\u015ft\u0131rmak faydal\u0131 olabilir.<\/p>\n
docker restart <\/pre>\n
<\/code><\/p>\n
Hata ay\u0131klama modunda \u00e7al\u0131\u015ft\u0131rmak i\u00e7in, genellikle uygulaman\u0131n ba\u015flang\u0131\u00e7 komutuna ek parametreler eklemek gerekir. Bu, Dockerfile'da veya docker run<\/code> komutunda yap\u0131labilir.<\/p>\n
2.3. Kapsay\u0131c\u0131 \u0130\u00e7ine Ba\u011flanma (Exec)<\/h3>\n
\u00c7al\u0131\u015fan bir kapsay\u0131c\u0131n\u0131n i\u00e7ine ba\u011flanarak, sanki bir sanal makineye SSH yapm\u0131\u015f gibi komutlar \u00e7al\u0131\u015ft\u0131rabilirsiniz. Bu, dosya sistemini incelemek, yap\u0131land\u0131rma dosyalar\u0131n\u0131 kontrol etmek veya bir uygulaman\u0131n durumunu manuel olarak test etmek i\u00e7in \u00e7ok kullan\u0131\u015fl\u0131d\u0131r.<\/p>\n
docker exec -it  bash  # Bash kabu\u011fu ile ba\u011flanma\ndocker exec -it  sh   # Sh kabu\u011fu ile ba\u011flanma (e\u011fer bash yoksa)<\/pre>\n
<\/code><\/p>\n
Bu komutla, kapsay\u0131c\u0131n\u0131n i\u00e7indeki ortamda sorun giderme yapabilirsiniz.<\/p>\n
3. A\u011f ve Ba\u011flant\u0131 Sorunlar\u0131<\/h2>\n
Docker kapsay\u0131c\u0131lar\u0131n\u0131n en yayg\u0131n sorunlar\u0131ndan biri a\u011f ile ilgilidir. Kapsay\u0131c\u0131lar\u0131n d\u0131\u015f d\u00fcnya ile veya birbirleriyle ileti\u015fim kuramamas\u0131, uygulamalar\u0131n i\u015flevselli\u011fini do\u011frudan etkiler.<\/p>\n
3.1. Port E\u015fleme (Port Mapping) Kontrol\u00fc<\/h3>\n
Bir kapsay\u0131c\u0131daki uygulaman\u0131n d\u0131\u015far\u0131dan eri\u015filebilir olmas\u0131 i\u00e7in ana makine portlar\u0131 ile kapsay\u0131c\u0131 portlar\u0131 aras\u0131nda e\u015fleme yap\u0131lmas\u0131 gerekir. Yanl\u0131\u015f veya eksik port e\u015flemesi, ba\u011flant\u0131 sorunlar\u0131na yol a\u00e7ar.<\/p>\n
docker ps<\/pre>\n
<\/code><\/p>\n
\u00c7\u0131kt\u0131daki \"PORTS\" s\u00fctununu kontrol edin. \u00d6rne\u011fin, 0.0.0.0:8080->80\/tcp<\/code>, ana makinenin 8080 portunun kapsay\u0131c\u0131n\u0131n 80 portuna e\u015flendi\u011fini g\u00f6sterir.<\/p>\n
docker run -p : ...<\/code> komutunu do\u011fru kulland\u0131\u011f\u0131n\u0131zdan emin olun.<\/p>\n
3.2. DNS \u00c7\u00f6z\u00fcmleme ve A\u011f Yap\u0131land\u0131rmas\u0131<\/h3>\n
Kapsay\u0131c\u0131lar i\u00e7inden internete veya di\u011fer servislere eri\u015fimde sorun ya\u015f\u0131yorsan\u0131z, DNS \u00e7\u00f6z\u00fcmleme problemi olabilir. Kapsay\u0131c\u0131n\u0131n DNS ayarlar\u0131n\u0131 docker inspect<\/code> ile kontrol edebilir veya docker run<\/code> komutuna --dns<\/code> bayra\u011f\u0131 ekleyerek \u00f6zel DNS sunucular\u0131 belirtebilirsiniz.<\/p>\n
docker inspect  | grep \"DNS\"<\/pre>\n
<\/code><\/p>\n
Kapsay\u0131c\u0131 i\u00e7inde ping<\/code> veya curl<\/code> gibi komutlarla a\u011f ba\u011flant\u0131s\u0131n\u0131 test edebilirsiniz.<\/p>\n
3.3. Docker A\u011flar\u0131 ve Kapsay\u0131c\u0131lar Aras\u0131 \u0130leti\u015fim<\/h3>\n
Birden fazla kapsay\u0131c\u0131n\u0131n birbirleriyle ileti\u015fim kurmas\u0131 gerekti\u011finde, \u00f6zel Docker a\u011flar\u0131 (bridge, overlay) kullanmak en iyi y\u00f6ntemdir. Kapsay\u0131c\u0131lar\u0131n ayn\u0131 a\u011fda oldu\u011fundan ve do\u011fru servis adlar\u0131n\u0131 kulland\u0131\u011f\u0131ndan emin olun.<\/p>\n
docker network ls             # Mevcut a\u011flar\u0131 listeler\ndocker network inspect  # Bir a\u011f\u0131n detaylar\u0131n\u0131 g\u00f6sterir<\/pre>\n
<\/code><\/p>\n
docker run --network  ...<\/code> komutuyla kapsay\u0131c\u0131lar\u0131 belirli bir a\u011fa ba\u011flayabilirsiniz.<\/p>\n
4. Depolama ve Veri Y\u00f6netimi Problemleri<\/h2>\n
Kapsay\u0131c\u0131lar\u0131n depolama alanlar\u0131yla ilgili sorunlar, veri kayb\u0131na, performans d\u00fc\u015f\u00fc\u015flerine veya kapsay\u0131c\u0131lar\u0131n ba\u015flamamas\u0131na neden olabilir. Volume'ler ve bind mount'lar bu konuda dikkat edilmesi gereken ana noktalard\u0131r.<\/p>\n
4.1. Volume ve Bind Mount Hatalar\u0131<\/h3>\n
Veri kal\u0131c\u0131l\u0131\u011f\u0131 ve payla\u015f\u0131m\u0131 i\u00e7in Docker volume'leri veya bind mount'lar\u0131 kullan\u0131l\u0131r. Yanl\u0131\u015f yap\u0131land\u0131r\u0131lm\u0131\u015f bir volume veya bind mount, kapsay\u0131c\u0131n\u0131n verilere eri\u015fememesine veya yanl\u0131\u015f verilere yazmas\u0131na neden olabilir. Dosya izinleri de \u00f6nemli bir fakt\u00f6rd\u00fcr.<\/p>\n
docker inspect  | grep -A 10 \"Mounts\"<\/pre>\n
<\/code><\/p>\n
Bu \u00e7\u0131kt\u0131, kapsay\u0131c\u0131n\u0131n hangi volume'leri veya bind mount'lar\u0131 kulland\u0131\u011f\u0131n\u0131 ve bunlar\u0131n ana makinedeki kar\u015f\u0131l\u0131klar\u0131n\u0131 g\u00f6sterir. \u0130zin sorunlar\u0131 i\u00e7in ana makinedeki dosya veya dizin izinlerini kontrol edin.<\/p>\n
4.2. Disk Alan\u0131 T\u00fckenmesi<\/h3>\n
Docker imajlar\u0131, kapsay\u0131c\u0131 loglar\u0131 ve volume'ler zamanla disk alan\u0131n\u0131 t\u00fcketebilir. Disk alan\u0131 t\u00fckendi\u011finde yeni kapsay\u0131c\u0131lar ba\u015flayamayabilir veya mevcut kapsay\u0131c\u0131lar hata verebilir.<\/p>\n
docker system df -v<\/pre>\n
<\/code><\/p>\n
Bu komut, Docker'\u0131n kulland\u0131\u011f\u0131 disk alan\u0131n\u0131 detayl\u0131 olarak g\u00f6sterir. Gereksiz imajlar\u0131, durmu\u015f kapsay\u0131c\u0131lar\u0131 ve kullan\u0131lmayan volume'leri temizlemek i\u00e7in a\u015fa\u011f\u0131daki komutlar\u0131 kullanabilirsiniz:<\/p>\n
docker system prune -a<\/pre>\n
<\/code><\/p>\n
Bu komut dikkatli kullan\u0131lmal\u0131d\u0131r, \u00e7\u00fcnk\u00fc durmu\u015f t\u00fcm kapsay\u0131c\u0131lar\u0131, kullan\u0131lmayan t\u00fcm a\u011flar\u0131, imajlar\u0131 ve build cache'i siler.<\/p>\n
4.3. Dosya \u0130zinleri Sorunlar\u0131<\/h3>\n
Kapsay\u0131c\u0131 i\u00e7indeki bir uygulama, ana makineden bind mount edilen bir dizine yazma iznine sahip olmayabilir. Bu durum, \u00f6zellikle root olmayan kullan\u0131c\u0131larla \u00e7al\u0131\u015fan uygulamalarda s\u0131k\u00e7a g\u00f6r\u00fcl\u00fcr. Kapsay\u0131c\u0131 i\u00e7indeki kullan\u0131c\u0131n\u0131n UID\/GID'sinin ana makinedeki dizinin izinleriyle e\u015fle\u015fti\u011finden emin olun.<\/p>\n
docker exec -it  ls -l \/path\/to\/mounted\/directory<\/pre>\n
<\/code><\/p>\n
Ana makinede dizinin izinlerini chmod<\/code> ve chown<\/code> ile ayarlayarak sorunu \u00e7\u00f6zebilirsiniz.<\/p>\n
5. Kaynak T\u00fcketimi ve Performans \u0130ncelemesi<\/h2>\n
Kapsay\u0131c\u0131lar, ana makinenin CPU, bellek ve I\/O kaynaklar\u0131n\u0131 kullan\u0131r. A\u015f\u0131r\u0131 kaynak t\u00fcketimi, kapsay\u0131c\u0131n\u0131n yava\u015flamas\u0131na, yan\u0131t vermemesine veya hatta ana makinenin genel performans\u0131n\u0131 d\u00fc\u015f\u00fcrmesine neden olabilir.<\/p>\n
5.1. CPU ve Bellek Kullan\u0131m\u0131n\u0131 \u0130zleme<\/h3>\n
Bir kapsay\u0131c\u0131n\u0131n ne kadar CPU ve bellek kulland\u0131\u011f\u0131n\u0131 anlamak, performans sorunlar\u0131n\u0131 te\u015fhis etmek i\u00e7in \u00f6nemlidir. docker stats<\/code> komutu, \u00e7al\u0131\u015fan kapsay\u0131c\u0131lar\u0131n ger\u00e7ek zamanl\u0131 kaynak kullan\u0131m\u0131n\u0131 g\u00f6sterir.<\/p>\n
docker stats<\/pre>\n
<\/code><\/p>\n
Bu komut, CPU y\u00fczdesi, bellek kullan\u0131m\u0131, a\u011f I\/O ve disk I\/O gibi metrikleri sunar. Y\u00fcksek CPU veya bellek kullan\u0131m\u0131, uygulaman\u0131zda bir verimsizli\u011fe veya kaynak s\u0131z\u0131nt\u0131s\u0131na i\u015faret edebilir.<\/p>\n
5.2. Kaynak S\u0131n\u0131rland\u0131rmalar\u0131n\u0131 Ayarlama<\/h3>\n
Bir kapsay\u0131c\u0131n\u0131n belirli bir miktardan fazla kaynak t\u00fcketmesini \u00f6nlemek i\u00e7in Docker'da kaynak s\u0131n\u0131rland\u0131rmalar\u0131 (CPU limitleri, bellek limitleri) belirleyebilirsiniz. Bu, bir kapsay\u0131c\u0131n\u0131n di\u011ferlerini etkilemesini engeller.<\/p>\n
docker run --memory=\"512m\" --cpus=\"0.5\" ...<\/pre>\n
<\/code><\/p>\n
Bu \u00f6rnek, kapsay\u0131c\u0131ya 512MB bellek ve bir CPU \u00e7ekirde\u011finin yar\u0131s\u0131n\u0131 tahsis eder. S\u0131n\u0131rlar\u0131n \u00e7ok d\u00fc\u015f\u00fck ayarlanmas\u0131 da kapsay\u0131c\u0131n\u0131n performans\u0131n\u0131 olumsuz etkileyebilir.<\/p>\n
5.3. I\/O Performans\u0131 ve Disk Kullan\u0131m\u0131<\/h3>\n
Disk I\/O performans\u0131, \u00f6zellikle yo\u011fun disk i\u015flemi yapan uygulamalar i\u00e7in kritik olabilir. Yava\u015f diskler veya yo\u011fun I\/O i\u015flemleri, kapsay\u0131c\u0131lar\u0131n yava\u015f \u00e7al\u0131\u015fmas\u0131na neden olabilir. docker stats<\/code> \u00e7\u0131kt\u0131s\u0131ndaki \"BLOCK I\/O\" s\u00fctununu kontrol edin.<\/p>\n
E\u011fer I\/O performans\u0131 bir sorunsa, daha h\u0131zl\u0131 depolama \u00e7\u00f6z\u00fcmleri kullanmay\u0131 veya uygulaman\u0131n disk kullan\u0131m\u0131n\u0131 optimize etmeyi d\u00fc\u015f\u00fcnebilirsiniz. Ayr\u0131ca, volume'lerin do\u011fru yap\u0131land\u0131r\u0131ld\u0131\u011f\u0131ndan emin olun.<\/p>\n
6. G\u00f6r\u00fcnt\u00fc (Image) ve Yap\u0131land\u0131rma Hatalar\u0131<\/h2>\n
Bir kapsay\u0131c\u0131n\u0131n temelini olu\u015fturan Docker imaj\u0131 ve onun yap\u0131land\u0131rmas\u0131 (Dockerfile, entrypoint, komutlar), sorunlar\u0131n \u00f6nemli bir kayna\u011f\u0131 olabilir. Yanl\u0131\u015f bir imaj veya yap\u0131land\u0131rma, kapsay\u0131c\u0131n\u0131n hi\u00e7 ba\u015flamamas\u0131na yol a\u00e7abilir.<\/p>\n
6.1. Dockerfile ve \u0130maj Olu\u015fturma Hatalar\u0131<\/h3>\n
Dockerfile'daki hatalar (yanl\u0131\u015f komutlar, eksik ba\u011f\u0131ml\u0131l\u0131klar, hatal\u0131 yollar) imaj\u0131n d\u00fczg\u00fcn bir \u015fekilde olu\u015fturulmas\u0131n\u0131 engelleyebilir veya olu\u015fturulan imaj\u0131n beklendi\u011fi gibi \u00e7al\u0131\u015fmamas\u0131na neden olabilir. \u0130maj olu\u015fturma s\u00fcrecindeki loglar\u0131 dikkatlice inceleyin.<\/p>\n
docker build -t myapp:latest .<\/pre>\n
<\/code><\/p>\n
Build \u00e7\u0131kt\u0131s\u0131nda \"ERROR\" veya \"FAILED\" mesajlar\u0131n\u0131 aray\u0131n. Her bir ad\u0131m\u0131n ba\u015far\u0131l\u0131 oldu\u011fundan emin olun. \u0130maj olu\u015fturulduktan sonra, docker history <\/code> komutu ile imaj\u0131n katmanlar\u0131n\u0131 inceleyebilirsiniz.<\/p>\n
6.2. Entrypoint ve Komut (CMD) Sorunlar\u0131<\/h3>\n
Kapsay\u0131c\u0131 ba\u015flat\u0131ld\u0131\u011f\u0131nda \u00e7al\u0131\u015facak olan ENTRYPOINT<\/code> ve CMD<\/code> komutlar\u0131, uygulaman\u0131n do\u011fru bir \u015fekilde ba\u015flat\u0131lmas\u0131 i\u00e7in hayati \u00f6neme sahiptir. Yanl\u0131\u015f bir komut, eksik bir ba\u011f\u0131ml\u0131l\u0131k veya hatal\u0131 bir yol, kapsay\u0131c\u0131n\u0131n hemen kapanmas\u0131na neden olabilir.<\/p>\n
docker inspect <\/code> \u00e7\u0131kt\u0131s\u0131ndaki \"Entrypoint\" ve \"Cmd\" alanlar\u0131n\u0131 kontrol edin. Kapsay\u0131c\u0131y\u0131 interaktif modda ba\u015flat\u0131p (docker run -it  bash<\/code>) komutlar\u0131 manuel olarak \u00e7al\u0131\u015ft\u0131rmay\u0131 deneyerek sorunu te\u015fhis edebilirsiniz.<\/p>\n
6.3. Ortam De\u011fi\u015fkenleri ve Yap\u0131land\u0131rma Dosyalar\u0131<\/h3>\n
Uygulamalar genellikle ortam de\u011fi\u015fkenleri veya yap\u0131land\u0131rma dosyalar\u0131 arac\u0131l\u0131\u011f\u0131yla yap\u0131land\u0131r\u0131l\u0131r. Bu de\u011fi\u015fkenlerin veya dosyalar\u0131n yanl\u0131\u015f ayarlanmas\u0131, uygulaman\u0131n hatal\u0131 \u00e7al\u0131\u015fmas\u0131na veya hi\u00e7 ba\u015flamamas\u0131na neden olabilir.<\/p>\n
docker inspect  | grep -A 10 \"Env\"<\/code> komutuyla kapsay\u0131c\u0131ya iletilen ortam de\u011fi\u015fkenlerini kontrol edin. Yap\u0131land\u0131rma dosyalar\u0131n\u0131n kapsay\u0131c\u0131 i\u00e7inde do\u011fru yolda ve do\u011fru i\u00e7erikle bulundu\u011fundan emin olmak i\u00e7in docker exec<\/code> kullanarak kapsay\u0131c\u0131 i\u00e7ine ba\u011flan\u0131p kontrol edin.<\/p>\n
7. S\u0131k Kar\u015f\u0131la\u015f\u0131lan Hata Mesajlar\u0131 ve \u00c7\u00f6z\u00fcmleri<\/h2>\n
Docker ile \u00e7al\u0131\u015f\u0131rken belirli hata mesajlar\u0131 s\u0131k\u00e7a kar\u015f\u0131m\u0131za \u00e7\u0131kar. Bu b\u00f6l\u00fcmde, en yayg\u0131n olanlardan baz\u0131lar\u0131na ve bunlar\u0131n olas\u0131 \u00e7\u00f6z\u00fcmlerine de\u011finece\u011fiz.<\/p>\n
7.1. \"Error response from daemon: driver failed programming external connectivity\"<\/h3>\n
Bu hata genellikle port e\u015fleme sorunlar\u0131 veya ana makinede zaten kullan\u0131lan bir portu Docker'\u0131n kullanmaya \u00e7al\u0131\u015fmas\u0131 durumunda ortaya \u00e7\u0131kar. A\u011f yap\u0131land\u0131rmas\u0131 veya g\u00fcvenlik duvar\u0131 kurallar\u0131 da bu hataya neden olabilir.<\/p>\n
    \n
  • Ana makinede portun ba\u015fka bir servis taraf\u0131ndan kullan\u0131l\u0131p kullan\u0131lmad\u0131\u011f\u0131n\u0131 kontrol edin (\u00f6rn: sudo netstat -tulpn | grep <\/code>).<\/li>\n
  • Farkl\u0131 bir ana makine portu kullanmay\u0131 deneyin.<\/li>\n
  • G\u00fcvenlik duvar\u0131 kurallar\u0131n\u0131z\u0131n Docker'\u0131n portlar\u0131 a\u00e7mas\u0131na izin verdi\u011finden emin olun.<\/li>\n<\/ul>\n
    7.2. \"Error: No such container\" veya \"No such image\"<\/h3>\n
    Bu hata, belirtilen kapsay\u0131c\u0131 veya imaj ad\u0131n\u0131n\/ID'sinin bulunamad\u0131\u011f\u0131 anlam\u0131na gelir. Genellikle yaz\u0131m hatalar\u0131ndan veya yanl\u0131\u015f bir ID kullan\u0131lmas\u0131ndan kaynaklan\u0131r.<\/p>\n
      \n
    • docker ps -a<\/code> veya docker images<\/code> komutlar\u0131yla do\u011fru ad\u0131 veya ID'yi do\u011frulay\u0131n.<\/li>\n
    • Kapsay\u0131c\u0131n\u0131n veya imaj\u0131n ger\u00e7ekten var olup olmad\u0131\u011f\u0131n\u0131 kontrol edin.<\/li>\n<\/ul>\n
      7.3. \"Cannot connect to the Docker daemon. Is the docker daemon running on this host?\"<\/h3>\n
      Bu, Docker daemon'unun \u00e7al\u0131\u015fmad\u0131\u011f\u0131 veya Docker istemcisinin daemon'a ba\u011flanamad\u0131\u011f\u0131 anlam\u0131na gelir. Genellikle daemon'un durmas\u0131 veya izin sorunlar\u0131 nedeniyle olu\u015fur.<\/p>\n
        \n
      • sudo systemctl status docker<\/code> ile daemon'un durumunu kontrol edin.<\/li>\n
      • Daemon \u00e7al\u0131\u015fm\u0131yorsa sudo systemctl start docker<\/code> ile ba\u015flat\u0131n.<\/li>\n
      • Kullan\u0131c\u0131n\u0131z\u0131n docker<\/code> grubunda oldu\u011fundan emin olun (sudo usermod -aG docker $USER<\/code> ve yeniden oturum a\u00e7\u0131n).<\/li>\n<\/ul>\n
        7.4. \"Exited (137) \/ Exited (1)\"<\/h3>\n
        Bir kapsay\u0131c\u0131n\u0131n \"Exited (137)\" durumu genellikle bellek yetersizli\u011fi (OOM - Out Of Memory) nedeniyle i\u015fletim sistemi taraf\u0131ndan sonland\u0131r\u0131ld\u0131\u011f\u0131n\u0131 g\u00f6sterir. \"Exited (1)\" ise genellikle kapsay\u0131c\u0131 i\u00e7indeki uygulaman\u0131n kendi i\u00e7inde bir hata nedeniyle sonland\u0131\u011f\u0131n\u0131 belirtir.<\/p>\n
          \n
        • Exited (137) i\u00e7in:<\/strong> Kapsay\u0131c\u0131ya daha fazla bellek tahsis edin (--memory<\/code> bayra\u011f\u0131). Uygulaman\u0131z\u0131n bellek kullan\u0131m\u0131n\u0131 optimize edin.<\/li>\n
        • Exited (1) i\u00e7in:<\/strong> Kapsay\u0131c\u0131n\u0131n loglar\u0131n\u0131 (docker logs<\/code>) detayl\u0131ca inceleyin. Uygulama kodundaki hatalar\u0131, eksik ba\u011f\u0131ml\u0131l\u0131klar\u0131 veya yanl\u0131\u015f yap\u0131land\u0131rmalar\u0131 aray\u0131n. docker inspect<\/code> ile Entrypoint<\/code> ve Cmd<\/code> komutlar\u0131n\u0131 kontrol edin.<\/li>\n<\/ul>\n
          Sonu\u00e7<\/h2>\n
          Docker kapsay\u0131c\u0131lar\u0131nda sorun gidermek, sistem y\u00f6neticileri ve geli\u015ftiriciler i\u00e7in ka\u00e7\u0131n\u0131lmaz bir g\u00f6revdir. Bu makalede ele ald\u0131\u011f\u0131m\u0131z temel komutlar, log analizi, a\u011f, depolama, kaynak y\u00f6netimi ve imaj\/yap\u0131land\u0131rma hatalar\u0131na y\u00f6nelik yakla\u015f\u0131mlar, sorunlar\u0131 etkili bir \u015fekilde te\u015fhis etmenize ve \u00e7\u00f6zmenize yard\u0131mc\u0131 olacakt\u0131r. Unutmay\u0131n ki her sorunun kendine \u00f6zg\u00fc bir \u00e7\u00f6z\u00fcm\u00fc olsa da, sistematik bir yakla\u015f\u0131m ve do\u011fru ara\u00e7lar\u0131 kullanmak, hata ay\u0131klama s\u00fcrecini b\u00fcy\u00fck \u00f6l\u00e7\u00fcde h\u0131zland\u0131r\u0131r. D\u00fczenli olarak Docker ortam\u0131n\u0131z\u0131 izlemek, loglar\u0131 kontrol etmek ve en iyi uygulamalar\u0131 takip etmek, potansiyel sorunlar\u0131 hen\u00fcz ortaya \u00e7\u0131kmadan \u00f6nlemenize yard\u0131mc\u0131 olacakt\u0131r. Docker'\u0131n sundu\u011fu esneklik ve g\u00fc\u00e7le birlikte, bu sorun giderme becerileri, uygulamalar\u0131n\u0131z\u0131n sorunsuz bir \u015fekilde \u00e7al\u0131\u015fmas\u0131n\u0131 sa\u011flamak i\u00e7in vazge\u00e7ilmezdir.<\/p>\n
          SSS (S\u0131k Sorulan Sorular)<\/h2>\n
          S1: Docker kapsay\u0131c\u0131m neden an\u0131nda duruyor (Exited)?<\/h3>\n
          Kapsay\u0131c\u0131n\u0131z\u0131n an\u0131nda durmas\u0131n\u0131n birka\u00e7 nedeni olabilir. En yayg\u0131n olanlar\u0131, kapsay\u0131c\u0131n\u0131n ba\u015flang\u0131\u00e7 komutunun (ENTRYPOINT\/CMD) bir hatayla kar\u015f\u0131la\u015fmas\u0131, uygulaman\u0131n ba\u011f\u0131ml\u0131l\u0131klar\u0131n\u0131n eksik olmas\u0131, bellek yetersizli\u011fi (Exited 137) veya yap\u0131land\u0131rma sorunlar\u0131d\u0131r. Sorunu anlamak i\u00e7in ilk olarak docker logs <\/code> komutunu kullanarak kapsay\u0131c\u0131n\u0131n loglar\u0131n\u0131 incelemelisiniz.<\/p>\n
          S2: Bir kapsay\u0131c\u0131ya ba\u011flanam\u0131yorum veya d\u0131\u015far\u0131dan eri\u015femiyorum, ne yapmal\u0131y\u0131m?<\/h3>\n
          Bu genellikle a\u011f veya port e\u015fleme sorunlar\u0131ndan kaynaklan\u0131r. \u0130lk olarak docker ps<\/code> komutuyla kapsay\u0131c\u0131n\u0131n port e\u015flemelerinin do\u011fru yap\u0131ld\u0131\u011f\u0131ndan emin olun (\u00f6rn: 0.0.0.0:8080->80\/tcp<\/code>). Ana makinenin g\u00fcvenlik duvar\u0131n\u0131n ilgili portu engellemedi\u011finden emin olun. Kapsay\u0131c\u0131 i\u00e7inden d\u0131\u015far\u0131ya eri\u015femiyorsan\u0131z, DNS ayarlar\u0131n\u0131 ve Docker a\u011f yap\u0131land\u0131rmas\u0131n\u0131 kontrol edin.<\/p>\n
          S3: Docker imajlar\u0131 ve kapsay\u0131c\u0131lar\u0131 \u00e7ok fazla disk alan\u0131 kapl\u0131yor, nas\u0131l temizleyebilirim?<\/h3>\n
          Docker'\u0131n kulland\u0131\u011f\u0131 disk alan\u0131n\u0131 temizlemek i\u00e7in docker system prune<\/code> komutunu kullanabilirsiniz. Bu komut, durmu\u015f kapsay\u0131c\u0131lar\u0131, kullan\u0131lmayan a\u011flar\u0131 ve dangling imajlar\u0131 siler. Daha agresif bir temizlik i\u00e7in docker system prune -a<\/code> komutunu kullanabilirsiniz; bu, kullan\u0131lmayan t\u00fcm imajlar\u0131 da siler. Ancak dikkatli olun, geri d\u00f6n\u00fc\u015f\u00fc olmayan bir i\u015flemdir.<\/p>\n
          S4: Docker kapsay\u0131c\u0131m yava\u015f \u00e7al\u0131\u015f\u0131yor, performans sorunlar\u0131 ya\u015f\u0131yorum. Nas\u0131l te\u015fhis edebilirim?<\/h3>\n
          Kapsay\u0131c\u0131 performans sorunlar\u0131n\u0131 te\u015fhis etmek i\u00e7in docker stats <\/code> komutunu kullanarak CPU, bellek ve I\/O kullan\u0131m\u0131n\u0131 izleyin. Y\u00fcksek CPU veya bellek kullan\u0131m\u0131, uygulaman\u0131zda bir verimsizli\u011fe i\u015faret edebilir. Kapsay\u0131c\u0131ya daha fazla kaynak (--memory<\/code>, --cpus<\/code>) tahsis etmeyi deneyebilir veya uygulaman\u0131z\u0131n kodunu optimize edebilirsiniz. Ayr\u0131ca, yava\u015f disk I\/O'su da bir neden olabilir.<\/p>\n","protected":false},"excerpt":{"rendered":"Docker, modern yaz\u0131l\u0131m geli\u015ftirme ve da\u011f\u0131t\u0131m s\u00fcre\u00e7lerinin vazge\u00e7ilmez bir par\u00e7as\u0131 haline gelmi\u015ftir. Uygulamalar\u0131 kapsay\u0131c\u0131lar i\u00e7inde izole bi…","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-38631","1":"post","2":"type-post","3":"status-publish","4":"format-standard","6":"category-docker","7":"cs-entry","8":"cs-video-wrap"},"yoast_head":"\nDocker Kapsay\u0131c\u0131 Sorunlar\u0131n\u0131 Giderme: Kapsaml\u0131 Bir Rehber - Kodlar\u0131n Gizemli D\u00fcnyas\u0131<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/fatihsoysal.com\/blog\/docker-kapsayici-sorunlarini-giderme-kapsamli-bir-rehber\/\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Docker Kapsay\u0131c\u0131 Sorunlar\u0131n\u0131 Giderme: Kapsaml\u0131 Bir Rehber\" \/>\n<meta property=\"og:description\" content=\"Docker, modern yaz\u0131l\u0131m geli\u015ftirme ve da\u011f\u0131t\u0131m s\u00fcre\u00e7lerinin vazge\u00e7ilmez bir par\u00e7as\u0131 haline gelmi\u015ftir. 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