{"id":39276,"date":"2019-10-31T22:29:10","date_gmt":"2019-10-31T19:29:10","guid":{"rendered":"https:\/\/prohoster.info\/blog\/proekt-open-data-hub-otkrytaya-platforma-mashinnogo-obucheniya-na-baze-red-hat-openshift\/"},"modified":"2019-10-31T22:29:10","modified_gmt":"2019-10-31T19:29:10","slug":"proekt-open-data-hub-otkrytaya-platforma-mashinnogo-obucheniya-na-baze-red-hat-openshift","status":"publish","type":"post","link":"https:\/\/prohoster.info\/et\/blog\/administrirovanie\/proekt-open-data-hub-otkrytaya-platforma-mashinnogo-obucheniya-na-baze-red-hat-openshift","title":{"rendered":"Open Data Hub projekt \u2013 avatud masin\u00f5ppe platvorm Red Hat OpenShifti baasil","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Tulevik on k\u00e4es, tehisintellekti ja masin\u00f5ppe tehnoloogiaid kasutatakse juba edukalt teie lemmikpoodides, transpordifirmades ja isegi kalkunifarmides. <\/p>\n<p><img decoding=\"async\" alt=\"Open Data Hub projekt \u2013 avatud masin\u00f5ppe platvorm Red Hat OpenShifti baasil\" src=\"\/wp-content\/uploads\/2019\/10\/ac77ba2d00012d4f3bee803c9c26bc9f.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n <br \/>\nJa kui midagi eksisteerib, siis on sellest internetis juba... avatud projekt! Vaata, kuidas Open Data Hub aitab uusi tehnoloogiaid skaleerida ja keerukusi nende rakendamisel v\u00e4ltida.<br \/>\n<noindex><a rel=\"nofollow\" name=\"habracut\"><\/a><\/noindex><br \/>\nHoolimata tehisintellekti (artificial Intelligence, AI) ja masin\u00f5ppe (machine learning, ML) k\u00f5igist eelistest seisavad organisatsioonid sageli silmitsi nende tehnoloogiate skaleerimisega seotud raskustega. Peamised probleemid on tavaliselt j\u00e4rgmised:<\/p>\n<ul>\n<li><b>Teabe vahetamine ja koost\u00f6\u00f6<\/b> \u2013 teavet vahetada ja koost\u00f6\u00f6d teha kiirete iteratsioonide re\u017eiimis on praktiliselt v\u00f5imatu.<\/li>\n<li><b>Andmete k\u00e4ttesaadavus<\/b> \u2013 iga \u00fclesande jaoks tuleb see uuesti ja k\u00e4sitsi \u00fcles ehitada, mis v\u00f5tab palju aega.<\/li>\n<li><b>N\u00f5udmisest ligip\u00e4\u00e4s<\/b> \u2013 ei ole v\u00f5imalik saada n\u00f5udmise korral juurdep\u00e4\u00e4su masin\u00f5ppe t\u00f6\u00f6riistadele ja platvormile, samuti arvutusinfrastruktuurile.<\/li>\n<li><b>Tootmine<\/b> \u2013 mudelid j\u00e4\u00e4vad protot\u00fc\u00fcbi staadiumisse ja ei j\u00f5ua tooterakendusse.<\/li>\n<li><b>AI tulemuste j\u00e4lgimine ja seletamine<\/b> \u2013 AI\/ML tulemuste korduvus, j\u00e4lgimine ja seletamine on keerulised.<\/li>\n<\/ul>\n<p>\nNeed lahendamata probleemid m\u00f5jutavad negatiivselt andmete t\u00f6\u00f6tlejate ja anal\u00fc\u00fctikute v\u00e4\u00e4rtuslike spetsialistide t\u00f6\u00f6 kiirus, efektiivsus ja tootlikkus. See toob kaasa nende frustratsiooni ja t\u00f6\u00f6alase pettumuse, mist\u00f5ttu \u00e4ri ootused AI\/ML-i osas j\u00e4\u00e4vad t\u00e4itmata.<\/p>\n<p>Nende probleemide lahendamise vastutus lasub IT-spetsialistidel, kes peavad andmeanal\u00fc\u00fctikutele pakkuma \u2013 \u00f5igesti \u00f6eldes, midagi, mis meenutab pilveteenust. T\u00e4iendavalt on vajalik selline platvorm, mis annab valikuvabaduse ning millele on lihtne ja mugav ligip\u00e4\u00e4s. Samuti peaks see olema kiire, h\u00f5lpsasti kohandatav, n\u00f5udlikult skaleeritav ja t\u00f5rgeteta. Sellise platvormi loomine avatud l\u00e4htekoodiga tehnoloogiate p\u00f5hjal aitab v\u00e4ltida s\u00f5ltuvust tarnijast ja s\u00e4ilitada pikaajalist strateegilist eeliseid kulude kontrollimise osas.<\/p>\n<p>M\u00f5ni aasta tagasi juhtus rakenduste arenduses midagi sarnast, mis viis mikroteenuste, h\u00fcbriidsete pilvekeskkondade, IT-automaatika ja Agile-protsesside tekkeni. Selle k\u00f5igega sammu pidamiseks hakkasid IT-spetsialistid kasutama konteinerite, Kubernetes'i ja avatud h\u00fcbriidpilvede lahendusi.<\/p>\n<p>N\u00fc\u00fcd rakendatakse seda kogemust AI-v\u00e4ljakutsetele vastamisel. Seet\u00f5ttu loovad IT-spetsialistid platvorme, mis p\u00f5hinevad konteineritel, v\u00f5imaldavad luua AI\/ML-teenuseid Agile-protsesside raames, kiirendavad innovatsiooni ja on suunatud h\u00fcbriidpilvele.<\/p>\n<p><img decoding=\"async\" alt=\"Open Data Hub projekt \u2013 avatud masin\u00f5ppe platvorm Red Hat OpenShifti baasil\" src=\"\/wp-content\/uploads\/2019\/10\/a899093183092edd8b2902f47b0495a8.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/p>\n<p>Selle platvormi ehitamise alustame Red Hat OpenShiftist, meie konteinerite Kubernetes'i platvormist h\u00fcbriidpilve jaoks, millel on kiiresti kasvav ML-lahenduste tarkvara ja riistvara \u00f6kos\u00fcsteem (NVIDIA, H2O.ai, Starburst, PerceptiLabs jne). Red Hati m\u00f5ned kliendid, nagu BMW Group, ExxonMobil ja teised, on juba k\u00e4ivitanud konteineriseeritud ML-t\u00f6\u00f6riistade ahelad ja DevOps-protsessid selle platvormi ja selle \u00f6kos\u00fcsteemi baasil, et viia oma ML-arkitektuurid tootmisre\u017eiimi ja kiirendada andmeanal\u00fc\u00fctikute t\u00f6\u00f6d.<\/p>\n<p>Veel p\u00f5hjuseid, miks k\u00e4ivitasime Open Data Hub'i projekti, on n\u00e4idata n\u00e4idisarhitektuuri mitmete avatud l\u00e4htekoodiga projektide p\u00f5hjal ning n\u00e4idata, kuidas rakendada kogu ML-lahenduse eluts\u00fcklit OpenShift platvormil.<\/p>\n<h3>Open Data Hub'i projekt<\/h3>\n<p>\nSee on avatud l\u00e4htekoodiga projekt, mis areneb vastava arenduskogukonna raames ja rakendab t\u00e4ieliku toimingute ts\u00fckli \u2013 algandmete \u00fcleslaadimisest ja t\u00f6\u00f6tlemisest mudeli loomise, koolitamise ja toe andmiseni \u2013 AI\/ML \u00fclesannete lahendamisel konteinerite ja Kubernetes'e abil OpenShift platvormil. Seda projekti v\u00f5ib pidada referentsrakenduseks, n\u00e4idates, kuidas luua avatud lahendust \"AI\/ML teenusena\" OpenShift'i ja vastava avatud l\u00e4htekoodiga t\u00f6\u00f6riistade, nagu Tensorflow, JupyterHub, Spark ja teiste, p\u00f5hjal. Oluline on m\u00e4rkida, et Red Hat kasutab seda projekti ka oma AI\/ML teenuste pakkumiseks. Lisaks integreerub OpenShift NVIDIA, Seldon, Starbust ja teiste tarnijate v\u00f5tme tark- ja riistvaraliste ML-lahendustega, mis lihtsustab enda masin\u00f5ppes\u00fcsteemide loomist ja k\u00e4ivitamist.<\/p>\n<p><img decoding=\"async\" alt=\"Open Data Hub projekt \u2013 avatud masin\u00f5ppe platvorm Red Hat OpenShifti baasil\" src=\"\/wp-content\/uploads\/2019\/10\/85a4266250e1afca62bdc9406422510c.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/p>\n<p>Open Data Hub projekt on suunatud j\u00e4rgmistele kasutajate kategooriatele ja kasutusstsenaariumitele:<\/p>\n<ul>\n<li>Andmeanal\u00fc\u00fctik, kes vajab pilvep\u00f5histe ise teenindamise funktsioonidega lahendust ML-projektide elluviimiseks.<\/li>\n<li>Andmeanal\u00fc\u00fctik, kellele on vaja maksimaalset valikut uusimatest avatud l\u00e4htekoodiga AI\/ML t\u00f6\u00f6riistadest ja platvormidest.<\/li>\n<li>Andmeanal\u00fc\u00fctik, kellele on vajalik juurdep\u00e4\u00e4s andmeallikatele mudelite koolitamise ajal.<\/li>\n<li>Andmeanal\u00fc\u00fctik, kellele on vajalik juurdep\u00e4\u00e4s arvutusressurssidele (CPU, GPU, m\u00e4lu).<\/li>\n<li>Andmeanal\u00fc\u00fctik, kellele on vajalik v\u00f5imalus koostada ja jagada oma t\u00f6\u00f6 tulemusi kolleegidega, saada tagasisidet ja siseneda parendusi kiire iteratsiooni meetodil.<\/li>\n<li>Andmeanal\u00fc\u00fctik, kes soovib suhelda arendajate (ja devops meeskondade) kaudu, et tema ML-mudelid ja t\u00f6\u00f6 tulemused j\u00f5uaksid tootmisse.<\/li>\n<li>Andmeinsener, kellele on vajalik anda andmeanal\u00fc\u00fctikule juurdep\u00e4\u00e4s mitmekesistele andmeallikatele, j\u00e4rgides ohutuse norme ja n\u00f5udeid.<\/li>\n<li>IT-s\u00fcsteemide administraator v\u00f5i operaator, kellele on vajalik v\u00f5imalus h\u00f5lpsasti hallata avatud koodiga komponentide ja tehnoloogiate eluts\u00fcklit (paigaldamine, seadistamine, uuendamine). Samuti on vajalikud vastavad haldus- ja kvoteerimist\u00f6\u00f6riistad.<\/li>\n<\/ul>\n<p>\nOpen Data Hub projekt \u00fchendab endas mitmeid avatud koodiga t\u00f6\u00f6riistu AI\/ML operatsioonide t\u00e4ieliku ts\u00fckli teostamiseks. Peamise t\u00f6\u00f6riistana andmeanal\u00fc\u00fctiku jaoks kasutatakse siin Jupyter Notebooki. See t\u00f6\u00f6riist on t\u00e4nap\u00e4eval laialdaselt populaarne andmete t\u00f6\u00f6tlemise ja anal\u00fc\u00fcsi spetsialistide seas, ning Open Data Hub v\u00f5imaldab neil h\u00f5lpsasti luua ja hallata Jupyter Notebooki t\u00f6\u00f6keskkondi, kasutades sisseehitatud JupyterHub'i. Lisaks Jupyter notebook'ide loomisele ja importimisele sisaldab Open Data Hub ka mitmeid juba valmis Jupyter notebook'e AI Library kujul.<\/p>\n<p>See raamatukogu sisaldab open-source masin\u00f5ppe komponente ja lahendusi t\u00fc\u00fcpiliste stsenaariumide jaoks, mis lihtsustavad kiiret protot\u00fc\u00fcpimist. JupyterHub on integreeritud OpenShift'i RBAC-juurdep\u00e4\u00e4su mudeliga, mis v\u00f5imaldab kasutada olemasolevaid OpenShift'i kontosid ja rakendada \u00fchtset sisselogimist. Lisaks pakub JupyterHub mugavat kasutajaliidest nimega spawner, mille abil saab kasutaja h\u00f5lpsasti seadistada valitud Jupyter Notebooki jaoks arvutusressursse (protsessorituumad, m\u00e4lu, GPU).<\/p>\n<p>P\u00e4rast seda, kui andmeanal\u00fc\u00fctik on loonud ja seadistanud notebook'i, v\u00f5tab k\u00f5ik \u00fclej\u00e4\u00e4nud hoolduse enda peale Kubernetes'i ajakava, mis on osa OpenShift'ist. Kasutajatele j\u00e4\u00e4b vaid katsetamine, tulemuste salvestamine ja jagamine. Lisaks saavad edasij\u00f5udnud kasutajad otse Jupyter notebook'idest ligip\u00e4\u00e4su OpenShift'i CLI-keskkonnale, et kasutada Kubernetes'e primitiive, nagu Job, v\u00f5i OpenShift'i funktsioone, n\u00e4iteks Tekton v\u00f5i Knative. Selle jaoks saab kasutada ka mugavat OpenShift'i GUI-d, mida nimetatakse \"OpenShift'i veebikonsooliks\".<\/p>\n<p><img decoding=\"async\" alt=\"Open Data Hub projekt \u2013 avatud masin\u00f5ppe platvorm Red Hat OpenShifti baasil\" src=\"\/wp-content\/uploads\/2019\/10\/601d63af1467b01df504954416effb3d.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/p>\n<p><img decoding=\"async\" alt=\"Open Data Hub projekt \u2013 avatud masin\u00f5ppe platvorm Red Hat OpenShifti baasil\" src=\"\/wp-content\/uploads\/2019\/10\/4647d8d979cc26b0c20cd3d63caed501.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/p>\n<p>Liikudes j\u00e4rgmisele tasemele, v\u00f5imaldab Open Data Hub hallata andmekanaleid (data pipelines). Selleks kasutatakse Ceph-objekti, mis on pakutud S3-\u00fchilduva objektip\u00f5hise andmete salvestusena. Apache Spark tagab andmete voogedastuse v\u00e4listest allikatest v\u00f5i Ceph S3 sisseehitatud salvestusest ning v\u00f5imaldab ka andmete eelnevaid muundamisi. Apache Kafka pakub laiaulatuslikku andmekanalite haldust (kus on v\u00f5imalik teha korduvlaadimist ning andmete muundamise, anal\u00fc\u00fcsi ja salvestamise toiminguid).<\/p>\n<p>Nii et andmeanal\u00fc\u00fctik on saanud andmetele ligi ja loonud mudeli. N\u00fc\u00fcd on tal soov jagada saadud tulemusi kolleegide v\u00f5i rakenduste arendajatega ning anda neile oma mudel teenusena. Selleks on vajalik v\u00e4ljundiserver, ja Open Data Hub'il on selline server, mida nimetatakse Seldoniks ja mis v\u00f5imaldab mudelit RESTful-teenusena avaldada.<\/p>\n<p>Mingil uuel hetkel on serveris Seldon mitmeid mudeleid ja tekib vajadus j\u00e4lgida, kuidas neid kasutatakse. Sel eesm\u00e4rgil pakub Open Data Hub kogumi vastavaid m\u00f5\u00f5dikuid ja aruannete mootorit, mis tugineb laialdaselt kasutatavatele avatud l\u00e4htekoodiga j\u00e4lgimisvahenditele Prometheus ja Grafana. Tulemuseks on tagasiside AI mudelite kasutamise j\u00e4lgimiseks, eelk\u00f5ige tootmis keskkonnas.<\/p>\n<p><img decoding=\"async\" alt=\"Open Data Hub projekt \u2013 avatud masin\u00f5ppe platvorm Red Hat OpenShifti baasil\" src=\"\/wp-content\/uploads\/2019\/10\/1c95bcd2656ea8376ccc0a91fa266897.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/p>\n<p>Selle tulemusena pakub Open Data Hub pilve sarnast l\u00e4henemist kogu AI\/ML operatsioonide ts\u00fckli v\u00e4ltel, alustades andmete juurdep\u00e4\u00e4sust ja ettevalmistamisest ning l\u00f5petades mudeli koolituse ja t\u00f6\u00f6stusliku kasutamisega.<\/p>\n<h3>Kogume k\u00f5ik kokku<\/h3>\n<p>\nN\u00fc\u00fcd kerkib k\u00fcsimus, kuidas k\u00f5ike seda OpenShift'i administraator korraldab. Ja siinkohal astub m\u00e4ngu spetsiaalne Kubernetes'i operaator Open Data Hub'i projektide jaoks.<\/p>\n<p><img decoding=\"async\" alt=\"Open Data Hub projekt \u2013 avatud masin\u00f5ppe platvorm Red Hat OpenShifti baasil\" src=\"\/wp-content\/uploads\/2019\/10\/4bcb406f6886227ef357cd0318767ca2.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/p>\n<p>See operaator haldab Open Data Hubi projekti installatsiooni, seadistuse ja eluts\u00fcklit, sealhulgas selliste eelpoolmainitud t\u00f6\u00f6riistade nagu JupyterHub, Ceph, Spark, Kafka, Seldon, Prometheus ja Grafana kasutuselev\u00f5ttu. Open Data Hubi projekti leidmine on v\u00f5imalik OpenShifti veebikonsoolist jaotises community-operatorid. Seega saab OpenShifti administraator m\u00e4\u00e4rata, et vastavad OpenShifti projektid kuuluvad kategooriasse \u201eOpen Data Hubi projekt\u201d. Seda tehakse \u00fcks kord. P\u00e4rast seda p\u00e4\u00e4seb andmeanal\u00fc\u00fctik OpenShifti veebikonsooli kaudu oma projektiruumidesse ja n\u00e4eb, et tema projektidele on installitud ja saadaval vastav Kubernetes-opeator. Seej\u00e4rel loob ta \u00fche hiirekl\u00f5psuga Open Data Hubi projekti ja saab kohe juurde juurdep\u00e4\u00e4su eelkirjeldatud t\u00f6\u00f6riistadele. Ja k\u00f5ik see saab olla konfigureeritud k\u00f5rge k\u00e4ttesaadavuse ja talitlush\u00e4iredest taastumise re\u017eiimis.<\/p>\n<p><img decoding=\"async\" alt=\"Open Data Hub projekt \u2013 avatud masin\u00f5ppe platvorm Red Hat OpenShifti baasil\" src=\"\/wp-content\/uploads\/2019\/10\/811a85229d0f3e54a96de1adb9aaeb24.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/p>\n<p>Kui soovite ise proovida Open Data Hubi projekti, alustage <noindex><a rel=\"nofollow\" href=\"https:\/\/opendatahub.io\/docs\/getting-started\/quick-installation.html\">installatsiooni juhenditest ja sissejuhatavast \u00f5ppematerjalist<\/a><\/noindex>. Open Data Hubi arhitektuuri tehnilised \u00fcksikasjad on saadaval <noindex><a rel=\"nofollow\" href=\"https:\/\/opendatahub.io\/docs\/architecture.html\">siit<\/a><\/noindex>, projekti arendusplaanid \u2013 <noindex><a rel=\"nofollow\" href=\"https:\/\/opendatahub.io\/docs\/roadmap\/future.html\">siit<\/a><\/noindex>. Tulevikus plaanime ellu viia t\u00e4iendava integreerimise Kubeflowiga, lahendada mitmeid andmete ja turvalisuse regulatsiooniga seotud k\u00fcsimusi ning korraldada integreerimist Droolsi ja Optaplanneri reeglitep\u00f5histe s\u00fcsteemidega. Avaldage oma arvamus ja osalege projektis <noindex><a rel=\"nofollow\" href=\"https:\/\/opendatahub.io\/docs\/additional.html#community\">Open Data Hub<\/a><\/noindex> lehelt <noindex><a rel=\"nofollow\" href=\"https:\/\/opendatahub.io\/docs\/additional.html#community\">kogukond<\/a><\/noindex>. <\/p>\n<p>Kokkuv\u00f5tteks: t\u00f5sised skalaarimisprobleemid takistavad organisatsioonidel t\u00e4ielikult kasutada tehisintellekti ja masin\u00f5ppe potentsiaali. Red Hat OpenShift on juba pikka aega edukalt lahendanud sarnaseid probleeme tarkvarasektoris. Projekti Open Data Hub, mis on ellu viidud avatud l\u00e4htekoodiga arenduskogukonna raames, pakub p\u00f5histruktuuri AI\/ML operatsioonide t\u00e4ielikuks ts\u00fckliks OpenShifti h\u00fcbriidpilves. Meil on selge ja h\u00e4sti l\u00e4bim\u00f5eldud plaan selle projekti arendamiseks ning oleme t\u00f5siselt p\u00fchendunud aktiivse ja tulemusliku avatud AI-lahenduste arenduskogukonna loomisele OpenShifti platvormil.<br \/>\n<br \/>Allikas: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/company\/redhatrussia\/blog\/472836\/\">habr.com<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u0411\u0443\u0434\u0443\u0449\u0435\u0435 \u043d\u0430\u0441\u0442\u0443\u043f\u0438\u043b\u043e, \u0442\u0435\u0445\u043d\u043e\u043b\u043e\u0433\u0438\u0438 \u0438\u0441\u043a\u0443\u0441\u0441\u0442\u0432\u0435\u043d\u043d\u043e\u0433\u043e \u0438\u043d\u0442\u0435\u043b\u043b\u0435\u043a\u0442\u0430 \u0438 \u043c\u0430\u0448\u0438\u043d\u043d\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f \u0443\u0436\u0435 \u0443\u0441\u043f\u0435\u0448\u043d\u043e \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044e\u0442 \u0432\u0430\u0448\u0438 \u043b\u044e\u0431\u0438\u043c\u044b\u0435 \u043c\u0430\u0433\u0430\u0437\u0438\u043d\u044b, \u0442\u0440\u0430\u043d\u0441\u043f\u043e\u0440\u0442\u043d\u044b\u0435 \u043a\u043e\u043c\u043f\u0430\u043d\u0438\u0438 \u0438 \u0434\u0430\u0436\u0435 \u0444\u0435\u0440\u043c\u044b, \u0432\u044b\u0440\u0430\u0449\u0438\u0432\u0430\u044e\u0449\u0438\u0435 \u0438\u043d\u0434\u0435\u0435\u043a. \u0410 \u0435\u0441\u043b\u0438 \u0447\u0442\u043e-\u0442\u043e \u0441\u0443\u0449\u0435\u0441\u0442\u0432\u0443\u0435\u0442, \u0437\u043d\u0430\u0447\u0438\u0442 \u0432 \u0438\u043d\u0442\u0435\u0440\u043d\u0435\u0442\u0435 \u043f\u0440\u043e \u044d\u0442\u043e \u0443\u0436\u0435 \u0435\u0441\u0442\u044c\u2026 \u043e\u0442\u043a\u0440\u044b\u0442\u044b\u0439 \u043f\u0440\u043e\u0435\u043a\u0442! \u0421\u043c\u043e\u0442\u0440\u0438\u0442\u0435 \u043a\u0430\u043a Open Data Hub \u043f\u043e\u043c\u043e\u0433\u0430\u0435\u0442 \u043c\u0430\u0441\u0448\u0442\u0430\u0431\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u043d\u043e\u0432\u044b\u0435 \u0442\u0435\u0445\u043d\u043e\u043b\u043e\u0433\u0438\u0438 \u0438 \u0438\u0437\u0431\u0435\u0433\u0430\u0442\u044c \u0442\u0440\u0443\u0434\u043d\u043e\u0441\u0442\u0435\u0439 \u043f\u0440\u0438 \u0438\u0445 \u0432\u043d\u0435\u0434\u0440\u0435\u043d\u0438\u0438. \u041f\u0440\u0438 \u0432\u0441\u0435\u0445 \u043f\u043b\u044e\u0441\u0430\u0445 \u0438\u0441\u043a\u0443\u0441\u0441\u0442\u0432\u0435\u043d\u043d\u043e\u0433\u043e \u0438\u043d\u0442\u0435\u043b\u043b\u0435\u043a\u0442\u0430 (artificial [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":39277,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[688],"tags":[],"class_list":["post-39276","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-administrirovanie"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 4.9.10 - aioseo.com -->\n\t<meta name=\"description\" content=\"\u0411\u0443\u0434\u0443\u0449\u0435\u0435 \u043d\u0430\u0441\u0442\u0443\u043f\u0438\u043b\u043e, \u0442\u0435\u0445\u043d\u043e\u043b\u043e\u0433\u0438\u0438 \u0438\u0441\u043a\u0443\u0441\u0441\u0442\u0432\u0435\u043d\u043d\u043e\u0433\u043e \u0438\u043d\u0442\u0435\u043b\u043b\u0435\u043a\u0442\u0430 \u0438 \u043c\u0430\u0448\u0438\u043d\u043d\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f \u0443\u0436\u0435 \u0443\u0441\u043f\u0435\u0448\u043d\u043e \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044e\u0442 \u0432\u0430\u0448\u0438 \u043b\u044e\u0431\u0438\u043c\u044b\u0435 \u043c\u0430\u0433\u0430\u0437\u0438\u043d\u044b, \u0442\u0440\u0430\u043d\u0441\u043f\u043e\u0440\u0442\u043d\u044b\u0435 \u043a\u043e\u043c\u043f\u0430\u043d\u0438\u0438 \u0438 \u0434\u0430\u0436\u0435 \u0444\u0435\u0440\u043c\u044b, \u0432\u044b\u0440\u0430\u0449\u0438\u0432\u0430\u044e\u0449\u0438\u0435 \u0438\u043d\u0434\u0435\u0435\u043a. \u0410 \u0435\u0441\u043b\u0438 \u0447\u0442\u043e-\u0442\u043e \u0441\u0443\u0449\u0435\u0441\u0442\u0432\u0443\u0435\u0442, \u0437\u043d\u0430\u0447\u0438\u0442 \u0432 \u0438\u043d\u0442\u0435\u0440\u043d\u0435\u0442\u0435 \u043f\u0440\u043e \u044d\u0442\u043e \u0443\u0436\u0435 \u0435\u0441\u0442\u044c\u2026 \u043e\u0442\u043a\u0440\u044b\u0442\u044b\u0439 \u043f\u0440\u043e\u0435\u043a\u0442! 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