{"id":102088,"date":"2021-11-01T03:02:09","date_gmt":"2021-11-01T01:02:09","guid":{"rendered":"https:\/\/prohoster.info\/blog\/administrirovanie\/kak-odin-startap-ot-docker-compose-do-kubernetes-dobiralsya"},"modified":"2021-11-01T14:22:04","modified_gmt":"2021-11-01T12:22:04","slug":"kak-odin-startap-ot-docker-compose-do-kubernetes-dobiralsya","status":"publish","type":"post","link":"https:\/\/prohoster.info\/de\/blog\/administrirovanie\/kak-odin-startap-ot-docker-compose-do-kubernetes-dobiralsya","title":{"rendered":"Wie ein Startup von docker-compose zu Kubernetes gelangte","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"
\n

In diesem Artikel m\u00f6chte ich dar\u00fcber berichten, wie wir unseren Ansatz zur Orchestrierung in unserem Startup-Projekt ge\u00e4ndert haben, warum wir das getan haben und welche Probleme wir dabei gel\u00f6st haben. Diese Artikel kann kaum den Anspruch auf Einzigartigkeit erheben, aber ich denke doch, dass er f\u00fcr einige n\u00fctzlich sein k\u00f6nnte, da w\u00e4hrend wir an der L\u00f6sung der Aufgabe gearbeitet haben, das Material mit erheblichem Aufwand von uns gesammelt wurde. \u00a0<\/p>\n

Was hatten wir und worum geht es \u00fcberhaupt?<\/strong> Wir hatten ein Startup-Projekt mit einer etwa 2-j\u00e4hrigen Entwicklungsgeschichte im Bereich Werbung. Das Projekt wurde urspr\u00fcnglich als Mikrodienst aufgebaut, und der Serverteil ist in Symfony + etwas Laravel, Django und nativem NodeJs geschrieben. Die Dienste dienen haupts\u00e4chlich als API f\u00fcr mobile Clients (es gibt 3 in dem Projekt) und unser eigenes SDK f\u00fcr iOS (wird in die Anwendungen unserer Kunden integriert), sowie Web-Oberfl\u00e4chen und verschiedene Dashboards dieser Kunden. Alle Dienste wurden urspr\u00fcnglich dockerisiert und liefen unter der Verwaltung von docker-compose.<\/p>\n

Allerdings wurde docker-compose nicht \u00fcberall verwendet, sondern nur in der lokalen Umgebung der Entwickler, in der Test- Server<\/a> und innerhalb der Pipeline bei der Erstellung und dem Testen der Dienste. In der Produktionsumgebung hingegen wurde Google Kubernetes Engine (GKE) verwendet. Au\u00dferdem haben wir die GKE-Konfiguration zu Beginn des Projekts vollst\u00e4ndig \u00fcber seine Web-Oberfl\u00e4che vorgenommen, was ziemlich schnell und, wie es uns damals schien, bequem war. Automatisiert war hier nur der Prozess der Erstellung von Docker-Images f\u00fcr den Betrieb der Dienste in GKE.<\/p>\n

Weiterlesen<\/a><\/div>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

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