{"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\/sq\/blog\/administrirovanie\/proekt-open-data-hub-otkrytaya-platforma-mashinnogo-obucheniya-na-baze-red-hat-openshift","title":{"rendered":"Projekti Open Data Hub \u2013 nj\u00eb platform\u00eb e hapur p\u00ebr m\u00ebsimin e makinave mbi baz\u00ebn e Red Hat OpenShift","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>T\u00eb ardhmen e teknologjis\u00eb e solli inteligjenca artificiale dhe m\u00ebsimi i makinave, q\u00eb tashm\u00eb po p\u00ebrdoren me sukses nga dyqanet tuaja t\u00eb preferuara, kompanit\u00eb e transportit dhe madje edhe fermat q\u00eb rrisin kalkun. <\/p>\n<p><img decoding=\"async\" alt=\"Projekti Open Data Hub \u2013 nj\u00eb platform\u00eb e hapur p\u00ebr m\u00ebsimin e makinave mbi baz\u00ebn e Red Hat OpenShift\" src=\"\/wp-content\/uploads\/2019\/10\/ac77ba2d00012d4f3bee803c9c26bc9f.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n <br \/>\nDhe n\u00ebse di\u00e7ka ekziston, at\u00ebher\u00eb n\u00eb internet padyshim ekziston\u2026 nj\u00eb projekt i hapur! Shikoni se si Open Data Hub ndihmon n\u00eb shkall\u00ebzimin e teknologjive t\u00eb reja dhe shmangien e v\u00ebshtir\u00ebsive gjat\u00eb aplikimit t\u00eb tyre.<br \/>\n<noindex><a rel=\"nofollow\" name=\"habracut\"><\/a><\/noindex><br \/>\nMegjith\u00eb t\u00eb gjith\u00eb p\u00ebrfitimet e inteligjenc\u00ebs artificiale (artificial Intelligence, AI) dhe m\u00ebsimit t\u00eb makinave (machine learning, ML), organizatat shpesh hasin v\u00ebshtir\u00ebsi n\u00eb shkall\u00ebzimin e k\u00ebtyre teknologjive. Problemet kryesore n\u00eb k\u00ebt\u00eb rast zakonisht jan\u00eb si m\u00eb posht\u00eb:<\/p>\n<ul>\n<li><b>Shk\u00ebmbimi i informacionit dhe bashk\u00ebpunimi<\/b> \u2013 \u00ebsht\u00eb praktikisht e pamundur t\u00eb shk\u00ebmbehen informacionet pa v\u00ebshtir\u00ebsi dhe t\u00eb bashk\u00ebpunohet n\u00eb m\u00ebnyr\u00eb t\u00eb shpejt\u00eb.<\/li>\n<li><b>Q\u30a2\u30af\u30bb\u30b9 i t\u00eb dh\u00ebnave<\/b> \u2013 p\u00ebr \u00e7do detyr\u00eb, ai duhet t\u00eb nd\u00ebrtohet nga e para dhe manualisht, \u00e7ka merr shum\u00eb koh\u00eb.<\/li>\n<li><b>Q\u30a2\u30af\u30bb\u30b9 sipas k\u00ebrkes\u00ebs<\/b> \u2013 nuk ka mund\u00ebsi t\u00eb merret qasje on-demand n\u00eb mjetet dhe platform\u00ebn e m\u00ebsimit t\u00eb makinave, si dhe n\u00eb infrastruktur\u00ebn llogarit\u00ebse.<\/li>\n<li><b>Produksioni<\/b> \u2013 modelet mbeten n\u00eb faz\u00ebn e prototipit dhe nuk arrijn\u00eb n\u00eb p\u00ebrdorimin n\u00eb prodhim.<\/li>\n<li><b>Ndjekja dhe shpjegimi i rezultateve t\u00eb pun\u00ebs s\u00eb AI<\/b> \u2013 riprodhueshm\u00ebria, ndjekja dhe shpjegimi i rezultateve AI\/ML jan\u00eb t\u00eb v\u00ebshtira.<\/li>\n<\/ul>\n<p>\nN\u00ebse k\u00ebto probleme lihen pa zgjidhje, ato ndikojn\u00eb negativisht n\u00eb shpejt\u00ebsin\u00eb, efikasitetin dhe produktivitetin e ekspert\u00ebve t\u00eb \u00e7muar n\u00eb p\u00ebrpunimin dhe analizimin e t\u00eb dh\u00ebnave. Kjo \u00e7on n\u00eb frustrimin e tyre, zhg\u00ebnjimin nga puna, dhe n\u00eb fund t\u00eb fundit, pritjet e biznesit n\u00eb lidhje me AI\/ML shkojn\u00eb d\u00ebm.<\/p>\n<p>P\u00ebrgjegj\u00ebsia p\u00ebr zgjidhjen e k\u00ebtyre problemeve bie mbi specialist\u00ebt IT, t\u00eb cil\u00ebt duhet t'u ofrojn\u00eb analist\u00ebve t\u00eb t\u00eb dh\u00ebnave - sakt\u00ebsisht, di\u00e7ka si nj\u00eb nube. N\u00ebse tregojm\u00eb m\u00eb gjer\u00ebsisht, nevojitet nj\u00eb platform\u00eb q\u00eb ofron liri zgjedhjeje dhe ka qasje t\u00eb leht\u00eb dhe t\u00eb thjesht\u00eb. Ajo duhet t\u00eb jet\u00eb e shpejt\u00eb, leht\u00ebsisht e ri-konfiguruar, e shkall\u00ebzueshme sipas k\u00ebrkes\u00ebs dhe e q\u00ebndrueshme ndaj d\u00ebshtimeve. Nd\u00ebrtimi i nj\u00eb platforme t\u00eb till\u00eb mbi teknologji me kod t\u00eb hapur ndihmon t\u00eb mos bien n\u00eb var\u00ebsi t\u00eb furnizuesve dhe t\u00eb ruajn\u00eb nj\u00eb avantazh strategjik afatgjat\u00eb n\u00eb kontrollin e kostove.<\/p>\n<p>Para disa vjet\u00ebsh, di\u00e7ka e ngjashme ndodhi n\u00eb zhvillimin e aplikacioneve dhe \u00e7oi n\u00eb shfaqjen e mikrosh\u00ebrbimeve, mjediseve t\u00eb hibridizuara n\u00eb cloud, automatizimit IT dhe proceseve agile. P\u00ebr t\u00eb menaxhuar gjith\u00eb k\u00ebt\u00eb, specialist\u00ebt IT filluan t\u00eb p\u00ebrdorin kontejner\u00eb, Kubernetes dhe cloud t\u00eb hapur hibrid.<\/p>\n<p>Tani kjo p\u00ebrvoj\u00eb aplikohet p\u00ebr t\u00eb p\u00ebrballuar sfidat e AI. Prandaj, specialist\u00ebt IT po krijojn\u00eb platforma q\u00eb bazohet n\u00eb kontejner\u00eb, ndihmon n\u00eb krijimin e sh\u00ebrbimeve AI\/ML brenda proceseve agile, p\u00ebrshpejton inovacionet dhe nd\u00ebrtohen me synim n\u00eb cloud t\u00eb hibridizuar.<\/p>\n<p><img decoding=\"async\" alt=\"Projekti Open Data Hub \u2013 nj\u00eb platform\u00eb e hapur p\u00ebr m\u00ebsimin e makinave mbi baz\u00ebn e Red Hat OpenShift\" src=\"\/wp-content\/uploads\/2019\/10\/a899093183092edd8b2902f47b0495a8.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/p>\n<p>Ndihm\u00ebn p\u00ebr nd\u00ebrtimin e nj\u00eb platforme t\u00eb till\u00eb do ta fillojm\u00eb me Red Hat OpenShift, platform\u00ebn ton\u00eb konteiner\u00eb Kubernetes p\u00ebr hibridin cloud, e cila ka nj\u00eb ekosistem n\u00eb rritje t\u00eb shpejt\u00eb t\u00eb zgjidhjeve t\u00eb softuer\u00ebve dhe harduer\u00ebve ML (NVIDIA, H2O.ai, Starburst, PerceptiLabs, etj.). Disa nga klient\u00ebt e Red Hat, si BMW Group, ExxonMobil dhe t\u00eb tjer\u00eb, tashm\u00eb kan\u00eb implementuar zinxhir\u00eb konteiner\u00eb t\u00eb mjeteve ML dhe proceseve DevOps mbi k\u00ebt\u00eb platform\u00eb dhe ekosistemin e saj, p\u00ebr t\u00eb \u00e7uar arkitektur\u00ebn e tyre ML n\u00eb nj\u00eb m\u00ebnyr\u00eb industriale dhe p\u00ebr t\u00eb p\u00ebrshpejtuar pun\u00ebn e analist\u00ebve t\u00eb t\u00eb dh\u00ebnave.<\/p>\n<p>Nj\u00eb arsye tjet\u00ebr p\u00ebrse ne kemi lan\u00e7uar projektin Open Data Hub \u00ebsht\u00eb p\u00ebr t\u00eb demonstruar nj\u00eb shembull arkitekturor bazuar n\u00eb disa projekte t\u00eb softuer\u00ebve t\u00eb hapur dhe p\u00ebr t\u00eb treguar si t\u00eb realizohet i gjith\u00eb cikli i jet\u00ebs s\u00eb zgjidhjes ML mbi platform\u00ebn OpenShift.<\/p>\n<h3>Projekti Open Data Hub<\/h3>\n<p>\nKy \u00ebsht\u00eb nj\u00eb projekt me kod t\u00eb hapur q\u00eb zhvillohet brenda komunitetit p\u00ebrkat\u00ebs t\u00eb zhvillimit dhe realizon nj\u00eb cik\u00ebl t\u00eb plot\u00eb operacionet \u2013 nga ngarkimi dhe transformimi i t\u00eb dh\u00ebnave fillestare deri n\u00eb formimin, st\u00ebrvitjen dhe mb\u00ebshtetje t\u00eb modelit \u2013 n\u00eb zgjidhjen e problemeve AI\/ML duke p\u00ebrdorur kontejner\u00eb dhe Kubernetes mbi platform\u00ebn OpenShift. Ky projekt mund t\u00eb konsiderohet si nj\u00eb implementim referencial, nj\u00eb shembull se si t\u00eb nd\u00ebrtohet nj\u00eb zgjidhje t\u00eb hapur t\u00eb klas\u00ebs \"AI\/ML si sh\u00ebrbim\" mbi baz\u00ebn e OpenShift dhe mjeteve p\u00ebrkat\u00ebse me kod t\u00eb hapur si Tensorflow, JupyterHub, Spark dhe t\u00eb tjera. \u00cbsht\u00eb e r\u00ebnd\u00ebsishme t\u00eb theksohet se Red Hat vet\u00eb p\u00ebrdor k\u00ebt\u00eb projekt p\u00ebr t\u00eb ofruar sh\u00ebrbimet e saj AI\/ML. P\u00ebr m\u00eb tep\u00ebr, OpenShift integrohet me zgjidhjet ky\u00e7e t\u00eb softuer\u00ebve dhe harduer\u00ebve ML nga NVIDIA, Seldon, Starburst dhe ndihma e t\u00eb tjer\u00ebve, q\u00eb leht\u00ebson nd\u00ebrtimin dhe implementimin e sistemeve t\u00eb veta p\u00ebr m\u00ebsimin e makinave.<\/p>\n<p><img decoding=\"async\" alt=\"Projekti Open Data Hub \u2013 nj\u00eb platform\u00eb e hapur p\u00ebr m\u00ebsimin e makinave mbi baz\u00ebn e Red Hat OpenShift\" src=\"\/wp-content\/uploads\/2019\/10\/85a4266250e1afca62bdc9406422510c.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/p>\n<p>Projekti Open Data Hub \u00ebsht\u00eb i orientuar drejt kategorive t\u00eb m\u00ebposhtme t\u00eb p\u00ebrdoruesve dhe skenar\u00ebve t\u00eb p\u00ebrdorimit:<\/p>\n<ul>\n<li>Analisti i t\u00eb dh\u00ebnave q\u00eb i nevojitet nj\u00eb zgjidhje p\u00ebr implementimin e projekteve ML, e organizuar si nj\u00eb sh\u00ebrbim n\u00eb re me funksione vet\u00eb-sh\u00ebrbimi.<\/li>\n<li>Analisti i t\u00eb dh\u00ebnave q\u00eb ka nevoj\u00eb p\u00ebr zgjedhje maksimale nga e gjith\u00eb larmia e veglave dhe platformave m\u00eb t\u00eb reja AI\/ML me kod t\u00eb hapur.<\/li>\n<li>Analisti i t\u00eb dh\u00ebnave q\u00eb i nevojitet qasje n\u00eb burimet e t\u00eb dh\u00ebnave gjat\u00eb trajnimit t\u00eb modeleve.<\/li>\n<li>Analisti i t\u00eb dh\u00ebnave q\u00eb ka nevoj\u00eb p\u00ebr qasje n\u00eb burimet kompjuterike (CPU, GPU, memorie).<\/li>\n<li>Analisti i t\u00eb dh\u00ebnave q\u00eb i nevojitet mund\u00ebsia p\u00ebr t\u00eb bashk\u00ebpunuar dhe ndar\u00eb rezultatet e pun\u00ebs me koleg\u00ebt, p\u00ebr t\u00eb marr\u00eb feedback dhe p\u00ebr t\u00eb b\u00ebr\u00eb p\u00ebrmir\u00ebsime p\u00ebrmes iteracioneve t\u00eb shpejta.<\/li>\n<li>Analisti i t\u00eb dh\u00ebnave q\u00eb d\u00ebshiron t\u00eb bashk\u00ebpunoj\u00eb me zhvilluesit (dhe ekipet devops), n\u00eb m\u00ebnyr\u00eb q\u00eb modelet e tij ML dhe rezultatet t\u00eb kalojn\u00eb n\u00eb prodhim.<\/li>\n<li>Inxhinieri i t\u00eb dh\u00ebnave q\u00eb i nevojitet t\u00eb siguroj\u00eb q\u00eb analisti i t\u00eb dh\u00ebnave t\u00eb ket\u00eb qasje n\u00eb burime t\u00eb larmishme t\u00eb t\u00eb dh\u00ebnave duke respektuar normat dhe k\u00ebrkesat e siguris\u00eb.<\/li>\n<li>Administrator\/operator i sistemeve IT q\u00eb i nevojitet mund\u00ebsia p\u00ebr t\u00eb kontrolluar pa shqet\u00ebsime ciklin e jet\u00ebs (instalimi, konfigurimi, p\u00ebrdit\u00ebsimi) t\u00eb komponent\u00ebve dhe teknologjive me kod t\u00eb hapur. Gjithashtu jan\u00eb t\u00eb nevojshme mjete p\u00ebr menaxhim dhe kuotim.<\/li>\n<\/ul>\n<p>\nProjekti Open Data Hub p\u00ebrmbledh nj\u00eb s\u00ebr\u00eb veglash me kod t\u00eb hapur p\u00ebr realizimin e ciklit t\u00eb plot\u00eb t\u00eb operacioneve AI\/ML. Si mjetin kryesor t\u00eb pun\u00ebs p\u00ebr analistin e t\u00eb dh\u00ebnave, k\u00ebtu p\u00ebrdoret Jupyter Notebook. Ky instrument \u00ebsht\u00eb shum\u00eb popullor nd\u00ebr specialist\u00ebt e p\u00ebrpunimit dhe analiz\u00ebs s\u00eb t\u00eb dh\u00ebnave, dhe Open Data Hub u lejon atyre t\u00eb krijojn\u00eb dhe menaxhojn\u00eb leht\u00ebsisht hap\u00ebsirat e pun\u00ebs Jupyter Notebook, duke p\u00ebrdorur JupyterHub t\u00eb integruar. P\u00ebrve\u00e7 krijimit dhe importit t\u00eb notebooks Jupyter, projekti Open Data Hub p\u00ebrmban gjithashtu nj\u00eb s\u00ebr\u00eb notebooks tashm\u00eb t\u00eb gatshme n\u00eb form\u00ebn e Bibliotek\u00ebs AI.<\/p>\n<p>Ky kjo bibliotek\u00eb p\u00ebrfaq\u00ebson nj\u00eb koleksion komponent\u00ebsh open-source p\u00ebr m\u00ebsimin e makin\u00ebs dhe zgjidhjeve p\u00ebr skenar\u00eb t\u00eb zakonsh\u00ebm, q\u00eb e leht\u00ebsojn\u00eb prototipizimin e shpejt\u00eb. JupyterHub \u00ebsht\u00eb integruar me modelin e qasjes RBAC t\u00eb OpenShift, e cila lejon p\u00ebrdorimin e llogarive ekzistuese OpenShift dhe implementimin e nj\u00eb hyrjeje t\u00eb vetme n\u00eb sistem. P\u00ebr m\u00eb tep\u00ebr, JupyterHub ofron nj\u00eb nd\u00ebrfaqe p\u00ebrdoruesi t\u00eb thjesht\u00eb t\u00eb quajtur spawner, me t\u00eb cil\u00ebn p\u00ebrdoruesi mund t\u00eb p\u00ebrshtat\u00eb leht\u00ebsisht sasin\u00eb e burimeve t\u00eb llogaritjes (n\u00eb b\u00ebrthama procesori, memorje, GPU) p\u00ebr Jupyter Notebook-in e zgjedhur.<\/p>\n<p>Pasi nj\u00eb analist t\u00eb dh\u00ebnash krijon dhe p\u00ebrshtat nj\u00eb notebook, t\u00eb gjitha shqet\u00ebsimet e tjera p\u00ebr t\u00eb merret me planifikuesin e Kubernetes-it, i cili \u00ebsht\u00eb pjes\u00eb e OpenShift. P\u00ebrdoruesve u mbetet thjesht t\u00eb kryejn\u00eb eksperimentet e tyre, t\u00eb ruajn\u00eb dhe t\u00eb ndajn\u00eb rezultatet e pun\u00ebs s\u00eb tyre. P\u00ebr m\u00eb tep\u00ebr, p\u00ebrdoruesit e avancuar mund t\u00eb aksesojn\u00eb drejtp\u00ebrdrejt shell-in CLI t\u00eb OpenShift nga Jupyter notebooks, p\u00ebr t\u00eb angazhuar primitiv\u00ebt e Kubernetes, si\u00e7 jan\u00eb Job, ose funksionalitetin e OpenShift, si Tekton ose Knative. Alternativisht, mund t\u00eb p\u00ebrdorin GUI-n\u00eb e thjesht\u00eb t\u00eb OpenShift, e cila quhet \"konsola e uebit t\u00eb OpenShift.\"<\/p>\n<p><img decoding=\"async\" alt=\"Projekti Open Data Hub \u2013 nj\u00eb platform\u00eb e hapur p\u00ebr m\u00ebsimin e makinave mbi baz\u00ebn e Red Hat OpenShift\" src=\"\/wp-content\/uploads\/2019\/10\/601d63af1467b01df504954416effb3d.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/p>\n<p><img decoding=\"async\" alt=\"Projekti Open Data Hub \u2013 nj\u00eb platform\u00eb e hapur p\u00ebr m\u00ebsimin e makinave mbi baz\u00ebn e Red Hat OpenShift\" src=\"\/wp-content\/uploads\/2019\/10\/4647d8d979cc26b0c20cd3d63caed501.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/p>\n<p>Duke kaluar n\u00eb faz\u00ebn tjet\u00ebr, Open Data Hub ofron mund\u00ebsin\u00eb p\u00ebr t\u00eb menaxhuar konvejer\u00ebt e t\u00eb dh\u00ebnave (data pipelines). P\u00ebr k\u00ebt\u00eb p\u00ebrdoret objekti Ceph, i cili ofrohet si nj\u00eb ruajtje e dh\u00ebnave e p\u00ebrputhshme me S3. Apache Spark mund\u00ebson transmetimin e t\u00eb dh\u00ebnave nga burime t\u00eb jashtme ose ruajtja e brendshme e Ceph S3, si dhe kryerjen e transformimeve t\u00eb parapara t\u00eb t\u00eb dh\u00ebnave. Apache Kafka ofron menaxhim t\u00eb zgjeruar t\u00eb konvejer\u00ebve t\u00eb t\u00eb dh\u00ebnave (ku mund t\u00eb kryhen ngarkesa t\u00eb shum\u00ebfishta, si dhe operacione transformimi, analize dhe ruajtjeje t\u00eb t\u00eb dh\u00ebnave).<\/p>\n<p>Pra, analisti i t\u00eb dh\u00ebnave ka akses n\u00eb t\u00eb dh\u00ebnat dhe ka nd\u00ebrtuar modelin. Tani ai d\u00ebshiron t\u00eb ndaj\u00eb rezultatet e marra me koleg\u00ebt ose zhvilluesit e aplikacioneve, duke u ofruar atyre modelin e tij sipas parimeve t\u00eb sh\u00ebrbimit. P\u00ebr k\u00ebt\u00eb, nevojitet nj\u00eb server i daljes, dhe Open Data Hub ka nj\u00eb server t\u00eb till\u00eb, i quajtur Seldon, q\u00eb lejon publikimin e modelit si nj\u00eb sh\u00ebrbim RESTful.<\/p>\n<p>N\u00eb nj\u00eb moment, n\u00eb serverin Seldon, ka disa modele t\u00eb tilla dhe lind nevoja p\u00ebr t\u00eb monitoruar se si p\u00ebrdoren ato. P\u00ebr k\u00ebt\u00eb, Open Data Hub ofron nj\u00eb koleksion t\u00eb metrikave p\u00ebrkat\u00ebse dhe nj\u00eb motor raportimi t\u00eb bazuar n\u00eb mjetet e njohura t\u00eb monitorimit me kod t\u00eb hapur Prometheus dhe Grafana. Si rezultat, ne marrim informacion p\u00ebr monitorimin e p\u00ebrdorimit t\u00eb modeleve t\u00eb AI, ve\u00e7an\u00ebrisht n\u00eb mjedisin e prodhimit.<\/p>\n<p><img decoding=\"async\" alt=\"Projekti Open Data Hub \u2013 nj\u00eb platform\u00eb e hapur p\u00ebr m\u00ebsimin e makinave mbi baz\u00ebn e Red Hat OpenShift\" src=\"\/wp-content\/uploads\/2019\/10\/1c95bcd2656ea8376ccc0a91fa266897.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/p>\n<p>K\u00ebshtu, Open Data Hub siguron nj\u00eb qasje si n\u00eb cloud gjat\u00eb gjith\u00eb ciklit t\u00eb operacioneve t\u00eb AI\/ML, duke filluar nga qasja dhe p\u00ebrgatitja e t\u00eb dh\u00ebnave deri te trajnimi dhe p\u00ebrdorimi industrial i modelit.<\/p>\n<h3>Mbledhim gjith\u00e7ka s\u00eb bashku<\/h3>\n<p>\nTani lind pyetja, si mund ta organizoj\u00eb administratorit t\u00eb OpenShift gjith\u00eb k\u00ebt\u00eb. Dhe k\u00ebtu hyjnor nj\u00eb operator i ve\u00e7ant\u00eb Kubernetes p\u00ebr projektet Open Data Hub.<\/p>\n<p><img decoding=\"async\" alt=\"Projekti Open Data Hub \u2013 nj\u00eb platform\u00eb e hapur p\u00ebr m\u00ebsimin e makinave mbi baz\u00ebn e Red Hat OpenShift\" src=\"\/wp-content\/uploads\/2019\/10\/4bcb406f6886227ef357cd0318767ca2.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/p>\n<p>Ky operator menaxhon instalimin, konfigurimin dhe ciklin e jet\u00ebs s\u00eb projektit Open Data Hub, p\u00ebrfshir\u00eb vendosjen e mjeteve t\u00eb p\u00ebrmendura m\u00eb lart, si JupyterHub, Ceph, Spark, Kafka, Seldon, Prometheus dhe Grafana. Projekti Open Data Hub mund t\u00eb gjendet n\u00eb konsol\u00ebn e uebit OpenShift, n\u00eb seksionin e operator\u00ebve t\u00eb komunitetit. K\u00ebshtu, administrator\u00ebt e OpenShift mund t\u00eb specifikojn\u00eb q\u00eb projektet p\u00ebrkat\u00ebse t\u00eb OpenShift jan\u00eb t\u00eb kategoris\u00eb 'projekt Open Data Hub'. Kjo b\u00ebhet nj\u00eb her\u00eb. Pas k\u00ebsaj, analisti i t\u00eb dh\u00ebnave p\u00ebrmes konsol\u00ebs s\u00eb uebit OpenShift hyn n\u00eb hap\u00ebsir\u00ebn e tij t\u00eb projektit dhe sheh q\u00eb p\u00ebr projektet e tij \u00ebsht\u00eb instaluar dhe \u00ebsht\u00eb n\u00eb dispozicion operatori p\u00ebrkat\u00ebs Kubernetes. Pastaj ai krijon nj\u00eb instanc\u00eb t\u00eb projektit Open Data Hub me nj\u00eb klikim dhe menj\u00ebher\u00eb merr qasje n\u00eb mjetet e p\u00ebrshkruara m\u00eb lart. Dhe gjith\u00eb kjo mund t\u00eb konfigurohet n\u00eb nj\u00eb m\u00ebnyr\u00eb me disponueshm\u00ebri t\u00eb lart\u00eb dhe q\u00ebndres\u00eb ndaj d\u00ebshtimeve.<\/p>\n<p><img decoding=\"async\" alt=\"Projekti Open Data Hub \u2013 nj\u00eb platform\u00eb e hapur p\u00ebr m\u00ebsimin e makinave mbi baz\u00ebn e Red Hat OpenShift\" src=\"\/wp-content\/uploads\/2019\/10\/811a85229d0f3e54a96de1adb9aaeb24.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/p>\n<p>N\u00ebse d\u00ebshiron t\u00eb provosh me duar projektin Open Data Hub, fillo me <noindex><a rel=\"nofollow\" href=\"https:\/\/opendatahub.io\/docs\/getting-started\/quick-installation.html\">udhezimet p\u00ebr instalimin dhe nj\u00eb tutorial hyr\u00ebs<\/a><\/noindex>. Detajet teknike t\u00eb arkitektur\u00ebs s\u00eb Open Data Hub mund t\u00eb gjenden <noindex><a rel=\"nofollow\" href=\"https:\/\/opendatahub.io\/docs\/architecture.html\">k\u00ebtu<\/a><\/noindex>, planet p\u00ebr zhvillimin e projektit \u2013 <noindex><a rel=\"nofollow\" href=\"https:\/\/opendatahub.io\/docs\/roadmap\/future.html\">k\u00ebtu<\/a><\/noindex>. N\u00eb t\u00eb ardhmen, planifikohet t\u00eb realizohet nj\u00eb integrim shtes\u00eb me Kubeflow, t\u00eb zgjidhen disa pyetje lidhur me rregullimin e t\u00eb dh\u00ebnave dhe sigurin\u00eb, si dhe t\u00eb organizohet integrimi me sistemet e bazuara n\u00eb rregulla Drools dhe Optaplanner. T\u00eb shpreh\u00ebsh mendimin t\u00ebnd dhe t\u00eb b\u00ebhesh pjes\u00eb e projektit <noindex><a rel=\"nofollow\" href=\"https:\/\/opendatahub.io\/docs\/additional.html#community\">Open Data Hub<\/a><\/noindex> mund t\u00eb b\u00ebhet n\u00eb faqen <noindex><a rel=\"nofollow\" href=\"https:\/\/opendatahub.io\/docs\/additional.html#community\">e komunitetit<\/a><\/noindex>. <\/p>\n<p>N\u00eb p\u00ebrmbledhje: problemet serioze me shkall\u00ebzimin e pengojn\u00eb organizatat t\u00eb shfryt\u00ebzojn\u00eb plot\u00ebsisht potencialin e inteligjenc\u00ebs artificiale dhe m\u00ebsimit t\u00eb makinerive. Red Hat OpenShift \u00ebsht\u00eb p\u00ebrdorur prej koh\u00ebsh dhe me sukses p\u00ebr t\u00eb zgjidhur probleme t\u00eb ngjashme n\u00eb industrin\u00eb e softuerit. Projekti Open Data Hub, i zbatuar n\u00eb kuad\u00ebr t\u00eb komunitetit t\u00eb zhvillimit me kod t\u00eb hapur, ofron nj\u00eb arkitektur\u00eb standarde p\u00ebr organizimin e ciklit t\u00eb plot\u00eb t\u00eb operacioneve AI\/ML mbi baz\u00ebn e cloud-it hibrid OpenShift. Ne kemi nj\u00eb plan t\u00eb qart\u00eb dhe t\u00eb mir\u00ebfillt\u00eb p\u00ebr zhvillimin e k\u00ebtij projekti dhe jemi seriozisht t\u00eb vendosur p\u00ebr t\u00eb krijuar nj\u00eb komunitet aktiv dhe produktiv t\u00eb zhvilluesve t\u00eb zgjidhjeve t\u00eb hapura AI n\u00eb platform\u00ebn OpenShift.<br \/>\n<br \/>Burimi: <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 5.0.0.1 - 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 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