{"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\/cs\/blog\/administrirovanie\/monitoring-nagruzochnoe-testirovanie-prognozirovanie-i-otsutstvie-sboev","title":{"rendered":"Monitorov\u00e1n\u00ed + z\u00e1t\u011b\u017eov\u00e9 testov\u00e1n\u00ed = predikce a absence v\u00fdpadk\u016f","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

IT odd\u011blen\u00ed VTB se n\u011bkolikr\u00e1t pot\u00fdkalo s ne\u010dekan\u00fdmi situacemi v pr\u00e1ci syst\u00e9m\u016f, kdy jejich z\u00e1t\u011b\u017e mnohon\u00e1sobn\u011b vzrostla. Proto se objevila pot\u0159eba vyvinout a otestovat model, kter\u00fd by p\u0159edpov\u00eddal \u0161pi\u010dkovou z\u00e1t\u011b\u017e na kritick\u00e9 syst\u00e9my. K tomu IT specialist\u00e9 banky nastavili monitorov\u00e1n\u00ed, analyzovali data a nau\u010dili se automatizovat p\u0159edpov\u011bdi. Jak\u00e9 n\u00e1stroje pomohly p\u0159edpov\u011bd\u011bt z\u00e1t\u011b\u017e a poda\u0159ilo se jejich pomoc\u00ed optimalizovat provoz, to si pov\u00edme v kr\u00e1tk\u00e9m \u010dl\u00e1nku.<\/p>\n

\"Monitorov\u00e1n\u00ed
\n<\/a><\/noindex>
\nProbl\u00e9my s vysoce zat\u00ed\u017een\u00fdmi slu\u017ebami se objevuj\u00ed prakticky ve v\u0161ech odv\u011btv\u00edch, ale pro finan\u010dn\u00ed sf\u00e9ru jsou kritick\u00e9. V hodinu X mus\u00ed b\u00fdt v\u0161echny bojov\u00e9 jednotky p\u0159ipraveny, a proto bylo nutn\u00e9 v\u011bd\u011bt p\u0159edem, co se m\u016f\u017ee st\u00e1t a dokonce ur\u010dit den, kdy vzroste z\u00e1t\u011b\u017e, a kter\u00e9 syst\u00e9my se s n\u00ed setkaj\u00ed. S v\u00fdpadky je t\u0159eba bojovat a p\u0159edch\u00e1zet jim, proto se pot\u0159eba implementace syst\u00e9mu prediktivn\u00ed analytiky ani neprov\u00e1d\u011bla. Bylo nutn\u00e9 modernizovat syst\u00e9my na z\u00e1klad\u011b dat monitorov\u00e1n\u00ed.<\/p>\n

Analytika na koleni<\/h2>\n

\nMzdov\u00fd projekt je jedn\u00edm z nejcitliv\u011bj\u0161\u00edch v p\u0159\u00edpad\u011b v\u00fdpadku. Je tak\u00e9 nejjasn\u011bj\u0161\u00ed pro p\u0159edpov\u00edd\u00e1n\u00ed, a proto se rozhodli za\u010d\u00edt pr\u00e1v\u011b s n\u00edm. Kv\u016fli vysok\u00e9 prov\u00e1zanosti mohly m\u00edt v okam\u017eic\u00edch \u0161pi\u010dkov\u00e9 z\u00e1t\u011b\u017ee probl\u00e9my i dal\u0161\u00ed podsyst\u00e9my, v\u010detn\u011b d\u00e1lkov\u00e9ho bankovnictv\u00ed (DBO). Nap\u0159\u00edklad z\u00e1kazn\u00edci, pot\u011b\u0161en\u00ed SMS zpr\u00e1vami o p\u0159ijet\u00ed pen\u011bz, za\u010dali aktivn\u011b vyu\u017e\u00edvat sv\u00e9 prost\u0159edky. Z\u00e1t\u011b\u017e v tomto p\u0159\u00edpad\u011b mohla vzr\u016fst v\u00edce ne\u017e o \u0159\u00e1d.\u00a0<\/p>\n

Prvn\u00ed model pro p\u0159edpov\u011b\u010f jsme vytv\u00e1\u0159eli ru\u010dn\u011b. Vzali jsme v\u00fdstup za posledn\u00ed rok a spo\u010d\u00edtali, v jak\u00e9 dny o\u010dek\u00e1v\u00e1me maxim\u00e1ln\u00ed vrcholy: nap\u0159\u00edklad 1., 15. a 25. den, stejn\u011b jako v posledn\u00edch dnech v m\u011bs\u00edci. Tento model vy\u017eadoval zna\u010dn\u00e9 pracovn\u00ed \u00fasil\u00ed a ned\u00e1val p\u0159esnou p\u0159edpov\u011b\u010f. Nicm\u00e9n\u011b odhalil slab\u00e1 m\u00edsta, kde bylo t\u0159eba p\u0159idat \u201ehardware\u201c, a umo\u017enil optimalizovat proces p\u0159evodu pen\u011bz, dohodnut\u00edm se s kl\u00ed\u010dov\u00fdmi klienty: abychom ned\u00e1vali mzdu \u201enajednou\u201c, transakce z r\u016fzn\u00fdch region\u016f jsme rozlo\u017eili v \u010dase. Nyn\u00ed je zpracov\u00e1v\u00e1me po \u010d\u00e1stech, kter\u00e9 IT infrastruktura banky dok\u00e1\u017ee \u201estr\u00e1vit\u201c bez v\u00fdpadk\u016f.<\/p>\n

Pot\u00e9, co jsme z\u00edskali prvn\u00ed pozitivn\u00ed v\u00fdsledek, jsme p\u0159e\u0161li k automatizaci p\u0159edpov\u011bd\u00ed. Na sv\u016fj \u0159ad \u010dekalo je\u0161t\u011b des\u00edtky kritick\u00fdch oblast\u00ed.<\/p>\n

Komplexn\u00ed p\u0159\u00edstup<\/h2>\n

\nV BTV byla implementov\u00e1na monitorovac\u00ed syst\u00e9m spole\u010dnosti MicroFocus. Odtud jsme vzali sb\u011br dat pro p\u0159edpov\u011bdi, syst\u00e9m \u00falo\u017ei\u0161\u0165 a syst\u00e9m generov\u00e1n\u00ed zpr\u00e1v. V podstat\u011b u\u017e existoval monitorovac\u00ed syst\u00e9m, zb\u00fdvalo jen p\u0159idat metriky, predik\u010dn\u00ed modul a vytvo\u0159it nov\u00e9 zpr\u00e1vy. Toto \u0159e\u0161en\u00ed podporuje extern\u00ed dodavatel 'Tekhnoserv', tak\u017ee hlavn\u00ed pr\u00e1ce na realizaci projektu le\u017eely na jeho specialisty, ale model jsme vytv\u00e1\u0159eli samostatn\u011b. Syst\u00e9m predikce byl postaven na z\u00e1klad\u011b Prophet \u2013 tento otev\u0159en\u00fd produkt byl vyvinut ve Facebooku. Je snadno pou\u017eiteln\u00fd a snadno se integruje s n\u00e1mi zaveden\u00fdmi prost\u0159edky komplexn\u00edho monitorov\u00e1n\u00ed a Vertica. Zjednodu\u0161en\u011b \u0159e\u010deno, syst\u00e9m analyzuje k\u0159ivku zat\u00ed\u017een\u00ed a na z\u00e1klad\u011b Fourierov\u00fdch \u0159ad prov\u00e1d\u00ed jej\u00ed extrapolaci. Existuje tak\u00e9 mo\u017enost p\u0159id\u00e1vat ur\u010dit\u00e9 koeficienty podle dn\u016f, kter\u00e9 jsme vzali z na\u0161eho modelu. Metriky se zaznamen\u00e1vaj\u00ed bez \u00fa\u010dasti \u010dlov\u011bka, jednou t\u00fddn\u011b se p\u0159edpov\u011b\u010f automaticky p\u0159epo\u010d\u00edt\u00e1 a nov\u00e9 zpr\u00e1vy jsou rozes\u00edl\u00e1ny adres\u00e1t\u016fm.\u00a0<\/p>\n

Takov\u00fd p\u0159\u00edstup odhaluje hlavn\u00ed cykly, nap\u0159\u00edklad ro\u010dn\u00ed, m\u011bs\u00ed\u010dn\u00ed, \u010dtvrtletn\u00ed a t\u00fddenn\u00ed. V\u00fdplata mezd a z\u00e1loh, obdob\u00ed dovolen\u00fdch, sv\u00e1tky a v\u00fdprodeje \u2013 to v\u0161echno ovliv\u0148uje po\u010det po\u017eadavk\u016f na syst\u00e9my. Zjistilo se nap\u0159\u00edklad, \u017ee n\u011bkter\u00e9 cykly se p\u0159ekr\u00fdvaj\u00ed, a hlavn\u00ed z\u00e1t\u011b\u017e (75 %) na syst\u00e9my poch\u00e1z\u00ed z Centr\u00e1ln\u00edho feder\u00e1ln\u00edho okruhu. Pr\u00e1vnick\u00e9 a fyzick\u00e9 osoby se chovaj\u00ed r\u016fzn\u011b. Zat\u00edmco z\u00e1t\u011b\u017e od 'fyzick\u00fdch' osob je ve srovn\u00e1n\u00ed rovnom\u011brn\u011b rozlo\u017eena po dnech v t\u00fddnu (to zahrnuje mnoho drobn\u00fdch transakc\u00ed), u firem 99,9 % p\u0159ipad\u00e1 na pracovn\u00ed dobu, p\u0159i\u010dem\u017e transakce mohou b\u00fdt kr\u00e1tk\u00e9, ale mohou se tak\u00e9 zpracov\u00e1vat b\u011bhem n\u011bkolika minut a dokonce hodin.<\/p>\n

\"Monitorov\u00e1n\u00ed
\n
\nNa z\u00e1klad\u011b z\u00edskan\u00fdch dat se ur\u010duj\u00ed dlouh\u00e9 trendy. Nov\u00fd syst\u00e9m uk\u00e1zal, \u017ee lid\u00e9 masov\u011b odch\u00e1zej\u00ed do DBO. To je zn\u00e1mo v\u0161em, ale takov\u00e9 rozm\u011bry jsme ne\u010dekali a zpo\u010d\u00e1tku jsme tomu nev\u011b\u0159ili: po\u010det n\u00e1v\u0161t\u011bv v kancel\u00e1\u0159\u00edch banky se extr\u00e9mn\u011b rychle sni\u017euje, a pr\u00e1v\u011b v takov\u00e9m rozsahu roste po\u010det vzd\u00e1len\u00fdch transakc\u00ed. Odpov\u00eddaj\u00edc\u00edm zp\u016fsobem se zvy\u0161uje i z\u00e1t\u011b\u017e na syst\u00e9my a d\u00e1le poroste. Nyn\u00ed progn\u00f3zujeme z\u00e1t\u011b\u017e do \u00fanora 2020. Norm\u00e1ln\u00ed dny se daj\u00ed p\u0159edpov\u011bd\u011bt s chybou 3 %, a \u0161pi\u010dkov\u00e9 s chybou 10 %. To je dobr\u00fd v\u00fdsledek.<\/p>\n

\u00daskal\u00ed<\/h2>\n

\nBez obt\u00ed\u017e\u00ed, jak se \u0159\u00edk\u00e1, se to neobe\u0161lo. Mechanismus extrapolace s vyu\u017eit\u00edm Fourierov\u00fdch \u0159ad \u0161patn\u011b p\u0159ech\u00e1z\u00ed p\u0159es nulu \u2014 v\u00edme, \u017ee o v\u00edkendech pr\u00e1vnick\u00e9 osoby generuj\u00ed m\u00e1lo transakc\u00ed, ale modul predikce vyd\u00e1v\u00e1 hodnoty daleko od nuly. Mohli bychom je opravit n\u00e1siln\u011b, ale to nen\u00ed n\u00e1\u0161 styl. Krom\u011b toho jsme museli vy\u0159e\u0161it probl\u00e9m bezbolestn\u00e9ho sb\u011bru dat z syst\u00e9m\u016f-\u0161krt\u016f. Pravideln\u00fd sb\u011br informac\u00ed vy\u017eaduje zna\u010dn\u00e9 v\u00fdpo\u010detn\u00ed zdroje, proto jsme vybudovali rychl\u00e9 cache s vyu\u017eit\u00edm replikace, obchodn\u00ed data u\u017e z\u00edsk\u00e1v\u00e1me z replik. Absence dodate\u010dn\u00e9 z\u00e1t\u011b\u017ee na hlavn\u00ed syst\u00e9my v takov\u00fdch p\u0159\u00edpadech je kl\u00ed\u010dovou podm\u00ednkou.<\/p>\n

Nov\u00e9 v\u00fdzvy<\/h2>\n

\n\u00dakol p\u0159edpov\u011bd\u011bt \u0161pi\u010dky byl zcela vy\u0159e\u0161en: od kv\u011btna tohoto roku nebyly v bance \u017e\u00e1dn\u00e9 poruchy spojen\u00e9 s p\u0159et\u00ed\u017een\u00edm a nov\u00fd syst\u00e9m predikce v tom sehr\u00e1l nezanedbatelnou roli. Ano, uk\u00e1zalo se, \u017ee to nesta\u010dilo, a nyn\u00ed chce banka pochopit, jak nebezpe\u010dn\u00e9 \u0161pi\u010dky pro ni jsou. Pot\u0159ebujeme progn\u00f3zy s vyu\u017eit\u00edm metrik zat\u011b\u017eovac\u00edho testov\u00e1n\u00ed, a pro p\u0159ibli\u017en\u011b 30 % kritick\u00fdch syst\u00e9m\u016f to ji\u017e funguje, ostatn\u00ed jsou v procesu z\u00edsk\u00e1v\u00e1n\u00ed progn\u00f3z. V dal\u0161\u00edm kroku se chyst\u00e1me p\u0159edpov\u011bd\u011bt z\u00e1t\u011b\u017e na syst\u00e9my ne ve obchodn\u00edch transakc\u00edch, ale v term\u00ednech IT infrastruktury, tj. sestoup\u00edme na vrstvu n\u00ed\u017ee. Krom\u011b toho pot\u0159ebujeme pln\u011b automatizovat sb\u011br metrik a sestavov\u00e1n\u00ed progn\u00f3z na jejich z\u00e1klad\u011b, abychom se nemuseli zab\u00fdvat exporty. Na tom nen\u00ed nic v\u00fdjime\u010dn\u00e9ho \u2014 jednodu\u0161e kombinujeme monitorov\u00e1n\u00ed a zat\u011b\u017eovac\u00ed testov\u00e1n\u00ed podle nejlep\u0161\u00edch sv\u011btov\u00fdch praktik.
\n
Zdroj: habr.com<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

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