{"id":31139,"date":"2019-10-31T21:39:40","date_gmt":"2019-10-31T18:39:40","guid":{"rendered":"https:\/\/prohoster.info\/blog\/monitorim-resursy-klasterov-kubernetes\/"},"modified":"2019-10-31T21:39:40","modified_gmt":"2019-10-31T18:39:40","slug":"monitorim-resursy-klasterov-kubernetes","status":"publish","type":"post","link":"https:\/\/prohoster.info\/sq\/blog\/administrirovanie\/monitorim-resursy-klasterov-kubernetes","title":{"rendered":"Monitorojm\u00eb burimet e klastereve Kubernetes","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

\"Monitorojm\u00eb<\/a><\/noindex><\/p>\n

<\/p>\n

Kam krijova Kube Eagle - eksportuesin Prometheus. Doli t\u00eb jet\u00eb nj\u00eb gj\u00eb e shk\u00eblqyer, q\u00eb ndihmon n\u00eb kuptimin m\u00eb t\u00eb mir\u00eb t\u00eb burimeve t\u00eb grupeve t\u00eb vogla dhe t\u00eb mesme. N\u00eb fund, kursyeva me qindra dollar\u00eb, sepse zgjodha llojet e duhura t\u00eb makinave dhe konfigurava kufijt\u00eb e burimeve t\u00eb aplikacioneve n\u00eb p\u00ebrputhje me ngarkesat e pun\u00ebs.<\/p>\n

<\/p>\n

Do t\u00eb flas p\u00ebr avantazhet Kube Eagle<\/a><\/noindex>, por s\u00eb pari do t\u00eb shpjegoj se \u00e7far\u00eb e shkaktoi k\u00ebt\u00eb situat\u00eb dhe p\u00ebrse kishte nevoj\u00eb p\u00ebr monitorim cil\u00ebsor.<\/p>\n

<\/a><\/noindex><\/p>\n

Kam menaxhuar disa grupe me 4-50 nod\u00eb. N\u00eb \u00e7do grup - deri n\u00eb 200 mikroservise dhe aplikacione. P\u00ebr t\u00eb p\u00ebrdorur m\u00eb mir\u00eb pajisjet e disponueshme, shumica e deplozeve ishin konfiguruar me memorie dhe burime CPU burstable. K\u00ebshtu q\u00eb pod-i mund t\u00eb marr\u00eb burimet e disponueshme, n\u00ebse nevojitet, dhe n\u00eb t\u00eb nj\u00ebjt\u00ebn koh\u00eb t\u00eb mos pengoj\u00eb aplikacionet e tjera n\u00eb k\u00ebt\u00eb nod\u00eb. A nuk \u00ebsht\u00eb e mrekullueshme?<\/p>\n

<\/p>\n

Dhe ndon\u00ebse grupi konsumonte relativisht pak CPU (8%) dhe RAM (40%), vazhdimisht kishim probleme me p\u00ebrjashtimin e pod-eve, kur ato p\u00ebrpiqeshin t\u00eb merrnin m\u00eb shum\u00eb memorie sesa ishte e disponueshme n\u00eb nod\u00eb. At\u00ebher\u00eb kishim vet\u00ebm nj\u00eb panel p\u00ebr monitorimin e burimeve Kubernetes. Ja si ishte:<\/p>\n

<\/p>\n

\"Monitorojm\u00eb<\/a><\/noindex>
\nPaneli Grafana vet\u00ebm me metrika cAdvisor<\/em><\/p>\n

<\/p>\n

Me k\u00ebt\u00eb panel, nod\u00ebt q\u00eb konsumonin shum\u00eb memorie dhe CPU, ishin t\u00eb dukshme pa problem. Problemi ishte t\u00eb kuptohej se \u00e7far\u00eb ishte arsyeja. P\u00ebr t\u00eb mbajtur pod-et n\u00eb vend, mund t\u00eb konfiguroni burime t\u00eb garantuara p\u00ebr t\u00eb gjitha pod-et (burimet e k\u00ebrkuara barazohen me kufirin). Por kjo nuk \u00ebsht\u00eb p\u00ebrdorimi m\u00eb inteligjent i pajisjeve. N\u00eb grup ishin disa qindra gigabajt memorie, dhe disa nod\u00eb ishin t\u00eb uritur, nd\u00ebrsa t\u00eb tjera kishin mbetje prej 4-10 GB.<\/p>\n

<\/p>\n

K\u00ebshtu, planifikuesi Kubernetes shp\u00ebrndante ngarkesat e pun\u00ebs sipas burimeve t\u00eb disponueshme n\u00eb m\u00ebnyr\u00eb jo t\u00eb barabart\u00eb. Planifikuesi Kubernetes merr parasysh konfigurime t\u00eb ndryshme: rregullat e afinitetit, taints dhe tolerations, selektor\u00ebt e nod\u00ebve, q\u00eb mund t\u00eb kufizojn\u00eb nod\u00ebt e disponueshme. Por n\u00eb rastin tim, nuk kishte asgj\u00eb t\u00eb till\u00eb, dhe pod-et planifikoheshin n\u00eb var\u00ebsi t\u00eb burimeve t\u00eb k\u00ebrkuara n\u00eb \u00e7do nod\u00eb.<\/p>\n

<\/p>\n

P\u00ebr nj\u00eb pod zgjidhej nodi me burimet m\u00eb t\u00eb lira dhe q\u00eb plot\u00ebsonte kushtet e k\u00ebrkes\u00ebs. Kaluam n\u00eb nj\u00eb situat\u00eb ku burimet e k\u00ebrkuara n\u00eb nod\u00eb nuk p\u00ebrputhen me shfryt\u00ebzimin aktual, dhe k\u00ebtu ndihmoi Kube Eagle dhe mund\u00ebsit\u00eb e tij p\u00ebr monitorimin e burimeve.<\/p>\n

<\/p>\n

G hampir t\u00eb gjitha grupet Kubernetes monitoroheshin vet\u00ebm me Node exporter<\/a><\/noindex> dhe Metrikat e Shtetit t\u00eb Kube<\/a><\/noindex>. Node Exporter ofron statistika p\u00ebr hyrjet dhe daljet dhe p\u00ebrdorimin e diskut, CPU dhe RAM, nd\u00ebrsa Kube State Metrics tregon metrika p\u00ebr objektet Kubernetes, si\u00e7 jan\u00eb k\u00ebrkesat dhe kufijt\u00eb p\u00ebr burimet e CPU dhe memorjes.<\/p>\n

<\/p>\n

Na nevojitet t\u00eb bashkojm\u00eb metrikat e p\u00ebrdorimit me metrikat e k\u00ebrkesave dhe kufijve n\u00eb Grafana, dhe at\u00ebher\u00eb do t\u00eb kemi t\u00eb gjitha informacionet mbi problemin. Kjo duket e thjesht\u00eb, por n\u00eb t\u00eb v\u00ebrtet\u00eb n\u00eb k\u00ebto dy mjete etiketat quhen ndryshe, dhe disa metrika madje nuk kan\u00eb fare etiketat e metadatas. Kube Eagle e b\u00ebn gjith\u00e7ka automatikisht dhe paneli duket k\u00ebshtu:<\/p>\n

<\/p>\n

\"Monitorojm\u00eb<\/a><\/noindex><\/p>\n

<\/p>\n

\"Monitorojm\u00eb<\/a><\/noindex>
\nPaneli i monitorimit t\u00eb Kube Eagle<\/a><\/noindex><\/em><\/p>\n

<\/p>\n

Kemi arritur t\u00eb zgjidhim shum\u00eb probleme me burimet dhe t\u00eb kursejm\u00eb pajisjet:<\/p>\n

<\/p>\n

    \n
  1. Disa zhvillues nuk dinin se sa burime i nevojiten mikrosh\u00ebrbimeve (ose thjesht nuk e merrnin seriozisht). Nuk kishim m\u00ebnyr\u00eb p\u00ebr t\u00eb identifikuar k\u00ebrkesat e gabshme p\u00ebr burime - p\u00ebr k\u00ebt\u00eb na duhej t\u00eb dinim konsumin plus k\u00ebrkesat dhe kufijt\u00eb. Tani ata shikojn\u00eb metrikat Prometheus, monitorojn\u00eb p\u00ebrdorimin aktual dhe p\u00ebrshtasin k\u00ebrkesat dhe kufijt\u00eb.<\/li>\n
  2. Aplikacionet JVM marrin aq shum\u00eb RAM sa mund t\u00eb mbajn\u00eb. Mblidh\u00ebsi i plehrave liro burimin vet\u00ebm n\u00ebse \u00ebsht\u00eb p\u00ebrdorur m\u00eb shum\u00eb se 75%. Dhe pasi q\u00eb shumica e sh\u00ebrbimeve kan\u00eb memorje burstable, JVM gjithmon\u00eb e konsumonte at\u00eb. Prandaj, t\u00eb gjitha k\u00ebto sh\u00ebrbime Java konsumonin shum\u00eb m\u00eb tep\u00ebr RAM sesa pritej.<\/li>\n
  3. Disa aplikacione k\u00ebrkuan shum\u00eb m\u00eb tep\u00ebr RAM, dhe planifikuesi i Kubernetes nuk u jepte k\u00ebto node aplikacioneve t\u00eb tjera, ndon\u00ebse n\u00eb fakt ata ishin m\u00eb t\u00eb lir\u00eb se node t\u00eb tjera. Nj\u00eb zhvillues rast\u00ebsisht u shtoi nj\u00eb num\u00ebr t\u00eb panevojsh\u00ebm n\u00eb k\u00ebrkes\u00eb dhe zuri nj\u00eb pjes\u00eb t\u00eb madhe t\u00eb RAM-it: 20 GB n\u00eb vend t\u00eb 2. Askush nuk e vuri re. Aplikacioni kishte 3 replik\u00eb, k\u00ebshtu q\u00eb u prek\u00ebn deri n\u00eb 3 node.<\/li>\n
  4. Kemi vendosur kufizime p\u00ebr burimet, riplanifikuar pod-et me k\u00ebrkesat e duhura dhe arrit\u00ebm nj\u00eb balans t\u00eb p\u00ebrsosur t\u00eb p\u00ebrdorimit t\u00eb pajisjeve n\u00eb t\u00eb gjitha node-t. Disa node mund t\u00eb mbylleshin plot\u00ebsisht. M\u00eb pas e kuptuam se kishim makineri t\u00eb gabuara (orientuara ndaj CPU-s\u00eb, e jo ndaj memorjes). Ndryshuam tipin dhe fshim\u00eb edhe disa node t\u00eb tjera.<\/li>\n<\/ol>\n

    <\/p>\n

    P\u00ebrfundime<\/h3>\n

    <\/p>\n

    Me burimet burstable n\u00eb klaster, p\u00ebrdorni m\u00eb efektivisht pajisjet ekzistuese, por planifikuesi i Kubernetes planifikon pod-et sipas k\u00ebrkesave p\u00ebr burime, dhe kjo \u00ebsht\u00eb problematike. P\u00ebr t\u00eb eliminuar dy zogj me nj\u00eb gur: t\u00eb shmangim problemet dhe t\u00eb p\u00ebrdorim burimet n\u00eb maksimum, na nevojitet nj\u00eb monitorim i mir\u00eb. Pik\u00ebrisht p\u00ebr k\u00ebt\u00eb \u00ebsht\u00eb i nevojsh\u00ebm. Kube Eagle<\/a><\/noindex> (eksportuesi Prometheus dhe paneli i monitorimit Grafana).<\/p>\n

    Burimi: habr.com<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

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\u043f\u0440\u0430\u0432\u0438\u043b\u044c\u043d\u044b\u0435 \u0442\u0438\u043f\u044b \u043c\u0430\u0448\u0438\u043d \u0438 \u043d\u0430\u0441\u0442\u0440\u0430\u0438\u0432\u0430\u043b \u043e\u0433\u0440\u0430\u043d\u0438\u0447\u0435\u043d\u0438\u044f \u0440\u0435\u0441\u0443\u0440\u0441\u043e\u0432 \u043f\u0440\u0438\u043b\u043e\u0436\u0435\u043d\u0438\u0439 \u043f\u043e\u0434 \u0440\u0430\u0431\u043e\u0447\u0438\u0435 \u043d\u0430\u0433\u0440\u0443\u0437\u043a\u0438. \u042f \u0440\u0430\u0441\u0441\u043a\u0430\u0436\u0443 \u043e \u043f\u0440\u0435\u0438\u043c\u0443\u0449\u0435\u0441\u0442\u0432\u0430\u0445 Kube Eagle, \u043d\u043e \u0441\u043d\u0430\u0447\u0430\u043b\u0430 \u043e\u0431\u044a\u044f\u0441\u043d\u044e, \u0438\u0437-\u0437\u0430 \u0447\u0435\u0433\u043e \u0432\u044b\u0448\u0435\u043b \u0441\u044b\u0440-\u0431\u043e\u0440 \u0438 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