{"id":39133,"date":"2019-10-31T22:28:01","date_gmt":"2019-10-31T19:28:01","guid":{"rendered":"https:\/\/prohoster.info\/blog\/monitoring-nagruzochnoe-testirovanie-prognozirovanie-i-otsutstvie-sboev\/"},"modified":"2019-10-31T22:28:01","modified_gmt":"2019-10-31T19:28:01","slug":"monitoring-nagruzochnoe-testirovanie-prognozirovanie-i-otsutstvie-sboev","status":"publish","type":"post","link":"https:\/\/prohoster.info\/et\/blog\/administrirovanie\/monitoring-nagruzochnoe-testirovanie-prognozirovanie-i-otsutstvie-sboev","title":{"rendered":"Seire + koormustestimine = prognoosimine ja t\u00f5rgeteta toimimine","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

VTB IT-osakond on korduvalt pidanud silmitsi seisma erakorraliste olukordadega s\u00fcsteemide t\u00f6\u00f6s, mil koormus neile on korduvalt suurenenud. Seet\u00f5ttu ilmus vajadus v\u00e4lja t\u00f6\u00f6tada ja testida mudelit, mis ennustaks tipukoormust kriitilistele s\u00fcsteemidele. Selleks seadistasid panga IT-spetsialistid j\u00e4lgimise, anal\u00fc\u00fcsisid andmeid ja \u00f5ppisid ennustusi automatiseerima. Millised t\u00f6\u00f6riistad aitasid koormust ennustada ja kas nende abil \u00f5nnestus t\u00f6\u00f6 optimeerida, selgitame l\u00fchikeses artiklis.<\/p>\n

\"Seire
\n<\/a><\/noindex>
\nProbleemid k\u00f5rgkoormuse teenustega tekivad praktiliselt k\u00f5ikides valdkondades, kuid finantssektoris on need kriitilise t\u00e4htsusega. X tunnil peavad k\u00f5ik operatiivsed \u00fcksused olema valmis, seega oli oluline eelnevalt teada, mis v\u00f5ib juhtuda, ning isegi m\u00e4\u00e4rata p\u00e4ev, mil koormus t\u00f5useb ja millised s\u00fcsteemid sellega silmitsi seisavad. Rikkete vastu tuleb v\u00f5idelda ja neid ennetada, seet\u00f5ttu ei arutatud isegi ennustava anal\u00fc\u00fcsi s\u00fcsteemi rakendamise vajadust. Tuli moderniseerida s\u00fcsteeme j\u00e4lgimisandmete p\u00f5hjal.<\/p>\n

Anal\u00fc\u00fcs improviseerituna<\/h2>\n

\nPalgaaprojekt on \u00fcks tundlikumaid s\u00fcsteeme v\u00f5imalike t\u00f5rgete korral. Samas on see ennustamiseks k\u00f5ige arusaadavam, seet\u00f5ttu otsustasime alustada just sellest. Suure seotuse t\u00f5ttu kriitilistes koormushetkedes v\u00f5isid probleemid ilmneda ka teistes all s\u00fcsteemides, sealhulgas kaugpanganduses. N\u00e4iteks, kliendid, kes said SMS-e raha laekumise kohta, hakkasid neid aktiivselt kasutama. Koormus v\u00f5is sel ajal t\u00f5usta \u00fcle k\u00fcmne korra.\u00a0<\/p>\n

Esimese prognoosimudeli l\u00f5ime k\u00e4sitsi. V\u00f5tsime viimase aasta andmed ja arvutasime, millistel p\u00e4evadel oodatakse maksimaalseid koormusi: n\u00e4iteks 1., 15. ja 25. kuup\u00e4evadel ning kuu viimasel p\u00e4eval. See mudel n\u00f5udis t\u00f5siseid t\u00f6\u00f6j\u00f5ukulusid ja ei andnud t\u00e4pset prognoosi. Sellegipoolest aitas see tuvastada kitsaskohti, kuhu oli vaja rohkem \u201erauda\u201d lisada, ja v\u00f5imaldas optimeerida raha\u00fclekande protsessi, leppides kokku suuremate klientidega: et mitte maksta palka korraga, jagasime tehingud erinevatelt aladelt ajaliselt laiali. N\u00fc\u00fcd t\u00f6\u00f6tleme neid osade kaupa, mille pangainfotehnoloogia suudab t\u00f5rgeteta \u201eseedida\u201c.<\/p>\n

Saades esimese positiivse tulemuse, l\u00e4ksime prognoosimise automatiseerimise juurde. Ootas veel k\u00fcmme kriitilist ala.<\/p>\n

Kohandatud l\u00e4henemine<\/h2>\n

\nVTB-s on rakendatud MicroFocus'i j\u00e4lgimiss\u00fcsteem. Sealt saime andmete kogumise prognoosimiseks, salvestuss\u00fcsteemi ja aruandluse s\u00fcsteemi. Sisuliselt oli j\u00e4lgimine juba olemas, tuli vaid lisada m\u00f5\u00f5dikud, ennustamismoodul ja koostada uued aruanded. Selle lahenduse toetab v\u00e4line allt\u00f6\u00f6v\u00f5tja \"TehnoServ\", seet\u00f5ttu lasus projekti elluviimise peamine koormus tema spetsialistidel, kuid mudeli ehitasime ise. Prognoosis\u00fcsteem loodi Propheti p\u00f5hjal \u2014 see avatud toode on v\u00e4lja t\u00f6\u00f6tatud Facebookis. See on lihtne kasutada ja integreerub kergesti erinevate meie kompleksse j\u00e4lgimise vahendite ja Vertica s\u00fcsteemidega. \u00dcldiselt anal\u00fc\u00fcsib s\u00fcsteem koormusgraafikut ja teeb selle prognoosi Fourier'i ridades p\u00f5hinedes. Samuti on v\u00f5imalik lisada teatud koefitsiente p\u00e4evade kaupa, mis on saadud meie mudelist. M\u00f5\u00f5dikud v\u00f5etakse automaatselt, ilma inimsuhete sekkumiseta, kord n\u00e4dalas prognoos arvestatakse automaatselt \u00fcmber ja uued aruanded saadetakse adressaatidele.\u00a0<\/p>\n

Selle l\u00e4henemisviisi abil tuvastatakse peamised ts\u00fcklid, n\u00e4iteks aastased, kuised, kvartaalset ja n\u00e4dalased. Palgamaksmine ja ettemaksed, puhkuseperioodid, p\u00fcha- ja allahindlused \u2014 k\u00f5ik need m\u00f5jutavad s\u00fcsteemide koormuse hulka. On selgunud, et m\u00f5ned ts\u00fcklid kattuvad, samas kui peamine koormus (75%) s\u00fcsteemidele tuleb Keskf\u00f6deraalringkonnast. Juriidiliste ja f\u00fc\u00fcsiliste isikute k\u00e4itumine on erinev. Kui f\u00fc\u00fcsiliste isikute koormus jaotub n\u00e4dalap\u00e4evadele suhteliselt \u00fchtlaselt (palju v\u00e4ikseid tehinguid), siis ettev\u00f5tete puhul langeb 99,9% koormusest t\u00f6\u00f6ajale, kusjuures tehingud v\u00f5ivad olla l\u00fchikesed v\u00f5i kestvad mitu minutit v\u00f5i isegi tunde.<\/p>\n

\"Seire
\n
\nSaadud andmete p\u00f5hjal m\u00e4\u00e4ratakse pikaajalised trendid. Uus s\u00fcsteem on n\u00e4idanud, et inimesed j\u00e4tavad massiliselt DBO (digitaalse panganduse) kasutamise. See on k\u00f5igile teada, kuid sellist mastaapi me ei oodanud ning alguses ei uskunud me sellele: pankade kontorisse p\u00f6\u00f6rdumiste arv kahaneb \u00e4\u00e4rmiselt kiiresti ning samas kasvab kaugtehingute arv sama palju. Vastavalt sellele suureneb ka s\u00fcsteemide koormus ja j\u00e4tkab suurenemist. Praegu prognoosime koormust veebruarini 2020. Normaalsete p\u00e4evade puhul suudame prognoosida 3% t\u00e4psusega, tipphetkede puhul aga 10% t\u00e4psusega. See on hea tulemus.<\/p>\n

Peidetud probleemid<\/h2>\n

\nIlma raskusteta ei ole siiski m\u00f6\u00f6da p\u00e4\u00e4senud. Fourier' ridades p\u00f5hinev ekstrapoleerimise mehhanism ei \u00fcleta nulli - me teame, et n\u00e4dalavahetustel genereerivad juriidilised isikud v\u00e4he tehinguid, kuid prognoosimoodul annab kaugel nullist v\u00e4\u00e4rtusi. Neid oleks saanud sundida parandama, kuid tugistruktuurid ei ole meie meetod. Lisaks tuli lahendada probleem andmete valutuks hankimiseks allika-s\u00fcsteemidest. Regulaarne teabe kogumine n\u00f5uab t\u00f5siseid arvutusressursse, seega oleme ehitanud kiireid vahem\u00e4lu s\u00fcsteeme replikatsiooni abil, saades \u00e4riandmeid juba replikatelt. T\u00e4iendavate koormuste puudumine p\u00f5his\u00fcsteemide puhul sellistel juhtudel on takistav n\u00f5ue.<\/p>\n

Uued v\u00e4ljakutsed<\/h2>\n

\nEsitatud \u00fclesanne tipptaseme ennustamiseks on lahendatud: alates selle aasta maist ei ole pankades olnud seotud \u00fclekoormuse t\u00f5rkeid, ning uus ennustamiss\u00fcsteem on selle juures t\u00e4htsat rolli m\u00e4nginud. Jah, seda osutus siiski v\u00e4heks, ja n\u00fc\u00fcd soovib pank m\u00f5ista, kui ohtlikud on need tipud. Vajame prognoose koormustestimise m\u00f5\u00f5dikutega, ja umbes 30% kriitilistest s\u00fcsteemidest juba t\u00f6\u00f6tab, \u00fclej\u00e4\u00e4nud on prognooside saamise protsessis. J\u00e4rgmises etapis kavatseme prognoosida s\u00fcsteemide koormust mitte \u00e4ritehingutes, vaid IT-infrastruktuuri m\u00f5istes, st l\u00e4heme korraks madalamale tasemele. Lisaks peame t\u00e4ielikult automatiseerima m\u00f5\u00f5tmete kogumise ja nende p\u00f5hjal prognooside koostamise, et mitte tegeleda andmete laadimisega. Siin pole midagi silmapaistvat \u2014 lihtsalt ristame j\u00e4lgimise ja koormustestimise parimate maailmapraktikate kohaselt.
\n
Allikas: habr.com<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

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Seet\u00f5ttu tekkis vajadus v\u00e4lja t\u00f6\u00f6tada ja katsetada mudel, mis ennustaks tipukoormust kriitilistele s\u00fcsteemidele. Selleks seadistavad panga IT-spetsialistid j\u00e4lgimise, anal\u00fc\u00fcsivad andmeid ja \u00f5pivad automatiseerima prognoose. Millised t\u00f6\u00f6riistad aitasid koormust prognoosida ja kas selle abil \u00f5nnestus?","canonical_url":"https:\/\/prohoster.info\/et\/blog\/administrirovanie\/monitoring-nagruzochnoe-testirovanie-prognozirovanie-i-otsutstvie-sboev","robots":"max-image-preview:large","keywords":"","webmasterTools":{"miscellaneous":""},"schema":null,"og:locale":"et_EE","og:site_name":"ProHoster | \u041a\u0443\u043f\u0438\u0442\u044c \u043d\u0430\u0434\u0435\u0436\u043d\u044b\u0439 \u0445\u043e\u0441\u0442\u0438\u043d\u0433 \u0434\u043b\u044f \u0441\u0430\u0439\u0442\u043e\u0432 \u0441 \u0437\u0430\u0449\u0438\u0442\u043e\u0439 \u043e\u0442 DDoS, VPS VDS \u0441\u0435\u0440\u0432\u0435\u0440\u044b","og:type":"article","og:title":"\ud83e\udd47\u041c\u043e\u043d\u0438\u0442\u043e\u0440\u0438\u043d\u0433 + \u043d\u0430\u0433\u0440\u0443\u0437\u043e\u0447\u043d\u043e\u0435 \u0442\u0435\u0441\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0435 = 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