Dubawa
Apache Airflow dandamali ne mai buɗewa don yin rubutu, tsarawa, da sa ido kan ayyukan aiki azaman lamba. A cikin koyan na'ura yana aiki a matsayin jagorar da ke haifar da bututun bayanai, sake horar da ayyuka, da tsinkayar tsari akan ingantaccen jadawalin.
Apache Airflow don ML Workflows wani shingen ginin fasaha ne wanda ke shafar ingancin samfurin, farashin kayan aiki, latency, da aminci a sikelin.
Zurfafa nutsewa
An ƙirƙiri kwararar iska a Airbnb a cikin 2014 kuma yanzu aikin Apache ne. Ƙaƙwalwarta ta tsakiya ita ce DAG: Jagorar Acyclic Graph na ayyuka da aka ayyana a cikin Python, inda gefuna ke saita tsarin aiwatarwa da dogaro. Mai tsarawa yana nazarin waɗannan DAGs, ya yanke shawarar waɗanne ayyuka suke shirye, kuma ya aika da su ga masu zartarwa da ma'aikata; UI na gidan yanar gizo yana nuna tarihin gudu, rajistan ayyukan, da matsayin ɗawainiya. Ga ML, Airflow ana amfani dashi sosai azaman ƙungiyar makaɗa maimakon injin ƙididdigewa: baya horar da ƙirar kanta amma yana haifar da matakai kamar cire bayanai, inganta shi, ƙaddamar da aikin horo akan Spark ko Kubernetes pod, da tura sakamakon. Masu aiki da firikwensin suna barin ayyuka su kira tsarin waje, jira fayiloli, ko gudanar da kwantena. Ƙarfin sa shine abin dogaro da tsarin jadawalin, sake gwadawa, sake cikawa, da bayyananniyar gani cikin hadaddun bututun tushen lokaci.
Fahimtar Fasaha
Airflow DAG shine kawai lambar Python, don haka ana bayyana abubuwan dogaro ta hanyar tsari tare da masu aiki waɗanda aka ɗaure ta hanyar haɗin ginin bitshift ko APIs ɗawainiya. Mai tsara jadawalin yana ci gaba da kimanta kowane tazara na jadawalin DAG da abubuwan dogaro da aiki, yana yin layi kawai ayyuka waɗanda abin dogaronsu ya yi nasara. Masu zartarwa kamar Celery ko Kubernetes suna gudanar da waɗannan ayyuka akan ma'aikatan da aka rarraba. Ana bin kowane ɗawainiyar gudanar da aiki tare da jiha, rajistan ayyukan, da sake gwada dabaru, kuma ana adana metadata a cikin ma'ajin bayanai don cikakken tantancewa.
Jagorar Jirgin Sama na Apache don Gudun Ayyuka na ML
Apache Airflow dandamali ne mai buɗewa don yin rubutu, tsarawa, da sa ido kan ayyukan aiki azaman lamba. A cikin koyan na'ura yana aiki a matsayin jagorar da ke haifar da bututun bayanai, sake horar da ayyuka, da tsinkayar tsari akan ingantaccen jadawalin. Apache Airflow don ML Workflows wani shingen ginin fasaha ne wanda ke shafar ingancin samfurin, farashin kayan aiki, latency, da aminci a sikelin. Don gina zurfin fahimta, bi Apache Airflow don ML Workflows a matsayin samfurin aiki, ba sifa ɗaya ba: ayyana sakamakon da ake so, bayyana zato, da raba abin da tsarin zai iya yi da dogaro daga abin da har yanzu yana buƙatar yanke hukunci na ƙwararru.
A aikace, ƙungiyoyi masu ƙarfi masu amfani da Apache Airflow don ML Workflows suna haɓaka gine-gine, bayanai, da zaɓin abubuwan more rayuwa akan dogaro da farashi. Suna rubuta ƙayyadaddun ƙa'idodin nasara, gwaji akan bayanan gaskiya da gudanawar aiki, da jujjuyawar bisa ga tsarin gazawar da aka lura maimakon cin nasara na lokaci ɗaya. Wannan shine inda fahimtar ka'idar ta juya zuwa iyawa mai dorewa a cikin samfura, manufofi, da ayyuka.
Hukunce-hukuncen gine-gine suna haifar da aiki da tsadar aiki na shekaru. A lokaci guda, Haɓaka ma'auni ɗaya na iya ɓoye manyan raunin tsarin. Hanyar da ta fi dacewa ita ce haɗa saurin gwaji tare da horon gudanarwa: gudanar da matukin jirgi, kama shaida, buga rajistan ayyukan yanke shawara, da ci gaba da sabunta abubuwan tsaro kamar yadda halayen ƙira, tsammanin mai amfani, da buƙatun tsari ke tasowa.
Dabarun Tasiri
Hukunce-hukuncen gine-gine suna haifar da aiki da tsadar aiki na shekaru.
Hukunce-hukuncen gine-gine suna haifar da aiki da tsadar aiki na shekaru. A cikin ƙawance masu inganci, ana fassara wannan zuwa ƙa'idodin aiki waɗanda za a iya aunawa, iyakokin ikon mallaka, da kuma bita-da-kullin bita don ƙungiyoyi su iya haɓaka kwarin gwiwa a maimakon ɓata shakku.
Ilimin fasaha yana taimaka wa ƙungiyoyi su zaɓi tari mai kyau, ba kawai sabon abu ba.
Ilimin fasaha yana taimaka wa ƙungiyoyi su zaɓi tari mai kyau, ba kawai sabon abu ba. A cikin ƙawance masu inganci, ana fassara wannan zuwa ƙa'idodin aiki waɗanda za a iya aunawa, iyakokin ikon mallaka, da kuma bita-da-kullin bita don ƙungiyoyi su iya haɓaka kwarin gwiwa a maimakon ɓata shakku.
Zaɓuɓɓukan injiniya mafi kyau suna rage abin dogaro a cikin samarwa.
Zaɓuɓɓukan injiniya mafi kyau suna rage abin dogaro a cikin samarwa. A cikin ƙawance masu inganci, ana fassara wannan zuwa ƙa'idodin aiki waɗanda za a iya aunawa, iyakokin ikon mallaka, da kuma bita-da-kullin bita don ƙungiyoyi su iya haɓaka kwarin gwiwa a maimakon ɓata shakku.
Aiwatar da Gaskiyar Duniya
Kamfanin watsa labarai yana gudanar da DAG na Airflow na yau da kullun wanda ke jan rajistan ayyukan haɗin gwiwar mai amfani, sake horar da samfurin shawarwari, kuma yana sabunta cache ɗin sabis.
Ƙungiyar kasuwancin e-commerce tana amfani da na'urori masu auna firikwensin don jira fayil ɗin bayanan mai siyarwa zuwa ƙasa a cikin ma'ajiyar girgije kafin ƙaddamar da aikin hasashen ƙasa.
Wani kamfani na fintech yana tsara ayyukan sa'o'i na sa'o'i inda Airflow ke haifar da ƙirar kwantena don ƙaddamar da ma'amaloli masu tuhuma.
Ƙungiyoyin bayanai suna amfani da dawo da Airflow don sake sarrafa watanni na bayanan tarihi ta hanyar sabon bututun aikin injiniya bayan canji na hankali.
Hanyoyin Aiwatarwa
Apache Airflow don ML Workflows a aikace
Kamfanin watsa labarai yana gudanar da DAG na Airflow na yau da kullun wanda ke jan rajistan ayyukan haɗin gwiwar mai amfani, sake horar da samfurin shawarwari, kuma yana sabunta cache ɗin sabis.
Kamfanin watsa labarai yana gudanar da DAG na Airflow na yau da kullun wanda ke jan rajistan ayyukan haɗin gwiwar mai amfani, sake horar da samfurin shawarwarin, kuma yana wartsakar da ƙungiyoyin cache na hidima yawanci suna samun sakamako mafi kyau lokacin da suka ayyana ma'auni masu inganci a gaba, kiyaye hanyar haɓakar ɗan adam don ƙararraki, da bin diddigin abubuwan samarwa da ƙimar kuskure akan lokaci.
Apache Airflow don ML Workflows a aikace
Ƙungiyar kasuwancin e-commerce tana amfani da na'urori masu auna firikwensin don jira fayil ɗin bayanan mai siyarwa zuwa ƙasa a cikin ma'ajiyar girgije kafin ƙaddamar da aikin hasashen ƙasa.
Ƙungiyar e-kasuwanci tana amfani da na'urori masu auna firikwensin don jira fayil ɗin bayanan mai siyarwa zuwa ƙasa a cikin ajiyar girgije kafin ƙaddamar da aikin hasashen ƙasa Ƙungiyoyi yawanci suna samun sakamako mafi kyau lokacin da suka ayyana ma'auni masu inganci a gaba, kiyaye hanyar haɓakar ɗan adam don ƙararraki, da kuma bin diddigin nasarorin samarwa da ƙimar kuskure akan lokaci.
Apache Airflow don ML Workflows a aikace
Wani kamfani na fintech yana tsara ayyukan sa'o'i na sa'o'i inda Airflow ke haifar da ƙirar kwantena don ƙaddamar da ma'amaloli masu tuhuma.
Kamfanin fintech yana tsara ayyukan batch na sa'o'i na sa'o'i inda Airflow ke haifar da ƙirar kwantena don ƙaddamar da ma'amaloli masu ban sha'awa Ƙungiyoyi yawanci suna samun sakamako mafi kyau lokacin da suka ayyana ma'auni masu inganci a gaba, kiyaye hanyar haɓaka ɗan adam don ƙararraki, da bin diddigin nasarorin samarwa da ƙimar kuskure akan lokaci.
Apache Airflow don ML Workflows a aikace
Ƙungiyoyin bayanai suna amfani da dawo da Airflow don sake sarrafa watanni na bayanan tarihi ta hanyar sabon bututun aikin injiniya bayan canji na hankali.
Ƙungiyoyin bayanai suna amfani da bayanan baya na Airflow don sake sarrafa watanni na bayanan tarihi ta hanyar sabon bututun injiniya na fasaha bayan canji na tunani Ƙungiyoyi yawanci suna samun sakamako mafi kyau lokacin da suka ayyana ma'auni masu inganci a gaba, kiyaye hanyar haɓakar ɗan adam don ƙararraki, da kuma bin diddigin abubuwan da ake samu da kuma farashin kuskure a kan lokaci.
Hatsari & Tsare-tsare
Haɓaka ma'auni ɗaya na iya ɓoye manyan raunin tsarin.
Sau da yawa ana raina kayan more rayuwa da kuma kuɗin kulawa.
Tsaro da gibin lura na iya girma yayin da tsarin ke ƙara haɓaka.
Taswirar Hanya
Ƙayyade latency, inganci, da maƙasudin farashi kafin aiwatarwa.
Ƙayyade latency, inganci, da maƙasudin farashi kafin aiwatarwa. Ɗauki kowane mataki azaman ƙofar shaida: idan ba a cika sharuɗɗa ba, dakatar da fitar, rufe tazarar, sannan kawai faɗaɗa amfani.
Alamar ma'auni a ƙarƙashin ainihin kaya da yanayin bayanai.
Alamar ma'auni a ƙarƙashin ainihin kaya da yanayin bayanai. Ɗauki kowane mataki azaman ƙofar shaida: idan ba a cika sharuɗɗa ba, dakatar da fitar, rufe tazarar, sannan kawai faɗaɗa amfani.
Kula da kayan aiki don kurakurai, ɗigo, da tasirin mai amfani.
Kula da kayan aiki don kurakurai, ɗigo, da tasirin mai amfani. Ɗauki kowane mataki azaman ƙofar shaida: idan ba a cika sharuɗɗa ba, dakatar da fitar, rufe tazarar, sannan kawai faɗaɗa amfani.
Shirya bijirowa da hanyoyin mayar da martani kafin sikeli.
Shirya bijirowa da hanyoyin mayar da martani kafin sikeli. Ɗauki kowane mataki azaman ƙofar shaida: idan ba a cika sharuɗɗa ba, dakatar da fitar, rufe tazarar, sannan kawai faɗaɗa amfani.