Le Lumana'i o AIOps: Tu'ufa'atasia AI mo Fa'atonu IT Fa'atonu | B4N1

Le Lumana'i o AIOps: Tu'ufa'atasia AI mo Fa'atonu IT Fa'atonu

9 months ago · b4n1 Read time: 4 min

Folasaga

O le televave o le atinaʻeina o tekinolosi ua taʻitaʻia ai le tuputupu aʻe faʻateleina i le lavelave o faiga faʻaonaponei IT. O le i'uga, o lo'o feagai 'au IT ma lu'itau e le'i tupu muamua i le puleaina ma le fa'atumauina o nei faiga, e o'o atu ai i le fa'atuputeleina o taimi fa'aletonu, fa'aitiitia le gaosiga, ma le maualuga o tau o galuega. Ina ia foia nei luʻitau, o le manatu o le Artificial Intelligence for IT Operations (AIOps) ua tulaʻi mai o se taʻaloga-sui. AIOps e faʻaaogaina masini aʻoaʻoga ma AI e suia DevOps workflows, faʻamalosia le faʻatonutonuina o IT, suʻesuʻega vavalo, ma masini.

I totonu o lenei tusiga, o le a tatou suʻesuʻeina le lumanaʻi o AIOps, o ona faʻamanuiaga, ma faʻatinoga faʻatinoga. O le a matou suʻesuʻe foʻi i suʻesuʻega moni o le lalolagi ma tuʻuina atu se poloka faʻailoga lavelave e faʻaalia ai le faʻaogaina o AIOps i le pulega IT.

O le a le AIOps?

AIOps o se matā'upu fa'alauiloa e tu'ufa'atasia le malosi o le atamai fa'apitoa (AI) ma le a'oa'oina o masini (ML) fa'atasi ai ma fa'agaioiga IT (ITOps) e fa'aleleia ai le lelei, lelei, ma le fa'amaoni o auaunaga IT. AIOps platforms e faʻaogaina faʻamatalaga auʻiliʻili, faʻataʻitaʻiga faʻataʻitaʻiga, ma masini e faʻailoa ma foia ai faʻafitauli IT aʻo leʻi avea ma faʻafitauli tetele.

AIOps e mafai ona faʻaoga i vaega eseese o le pulega IT, e aofia ai:

  1. Su'esu'ega Va'ai: E fa'aogaina e fa'avae AIOps masini a'oa'oga algorithms e au'ili'ili ai fa'amaumauga fa'asolopito ma va'ai fa'afitauli IT e ono tula'i mai, e mafai ai ona fa'agasolo le tausiga ma fa'aitiitia le taimi e fa'aletonu ai.
  2. Faʻatonuina o Faʻalavelave: E mafai e AIOps ona otometi ona iloa ma foia faʻalavelave IT, faʻaitiitia le taimi e iloa ai (MTTD) ma le taimi e foia ai (MTTR).
  3. Automation: AIOps e mafai ona otometi galuega masani, e pei o le faʻatonutonuina o faʻatonuga, pulega faʻapipiʻi, ma le faʻaleleia ma le toe faʻaleleia.

Fa'amanuiaga ole AIOps

O faʻamanuiaga o AIOps e tele ma taua:

  1. Fa'aleleia le Lelei: AIOps e fa'autometi galuega masani, fa'asa'oloto le aufaigaluega IT e taula'i atu i fuafuaga fa'ata'atia.
  2. Faʻaleleia le Faʻatuatuaina: AIOps vavalo ma puipuia faʻafitauli IT, faʻaitiitia taimi malolo ma faʻaleleia le faʻatuatuaina atoa o le polokalama.
  3. **Faʻateleina le Gaoioiga **: AIOps e mafai ai e 'au IT ona tali vave atu i faʻalavelave faʻafuaseʻi, faʻaitiitia le taimi e iloa ai (MTTD) ma le taimi e foia ai (MTTR).
  4. ** Lelei Faia o Fa'ai'uga**: E tu'uina atu e AIOps i 'au IT ni fa'amatalaga fa'a-taimi ma su'esu'ega fa'ata'ita'i, e mafai ai ona fai fa'ai'uga fa'atatau i fa'amaumauga.

Ta'iala Fa'atino

O le faʻatinoina o AIOps e manaʻomia ai se auala faʻapitoa:

  1. Aoina mai o Fa'amaumauga: Aoina mai fa'amatalaga IT mai fa'apogai eseese, e aofia ai fa'amaumauga, metric, ma faila fa'atulagaina.
  2. Fa'asoa Fa'amatalaga: Fa'atasi fa'amaumauga mai fa'apogai eseese i totonu o se fa'avae e tasi.
  3. Masini A'oa'oga: Fa'aoga masini a'oa'oga algorithms e au'ili'ili ai fa'amaumauga ma va'ai fa'afitauli IT e ono tula'i mai.
  4. Automation: Fa'autometi galuega masani ma fa'agasolo galuega.
  5. Monitoring and Feedback: Fa'aauau le mata'ituina o faatinoga a le AIOps ma tu'uina atu manatu e fa'aleleia atili ai le sa'o ma le lelei.

Su'esu'ega Tulaga Moni a le Lalolagi

E tele faʻalapotopotoga ua faʻatinoina ma le manuia AIOps e suia ai a latou galuega faʻatonutonu IT:

  1. Verizon: Verizon na fa'atinoina AIOps e fa'aleleia atili ai le fa'atuatuaina o feso'ota'iga ma fa'aitiitia le taimi fa'aletonu. O le faʻavae na faʻaaogaina masini aʻoaʻoga e vaʻai ma puipuia ai faʻafitauli o fesoʻotaʻiga, e mafua ai le faʻaitiitia o le 30% i le taimi malolo.
  2. AT&T: AT&T na fa'atinoina AIOps e fa'aleleia ai le fa'afoega o fa'alavelave ma fa'aitiitia le taimi e iloa ai (MTTD) ma le taimi e fo'ia ai (MTTR). O le faʻavae na faʻaaogaina le masini e suʻe ma foia ai faʻalavelave IT, e mafua ai le faʻaitiitia o le 40% i le MTTD ma le faʻaititia o le 50% i le MTTR.
  3. Microsoft: Na fa'atino e Microsoft AIOps e fa'aleleia atili ai au'ili'iliga ma fa'aautomatika. O le faʻavae na faʻaogaina masini aʻoaʻoga e vaʻai ai faʻafitauli IT, faʻamalosia le faʻaleleia ma faʻaitiitia taimi malolo.

Code Block: AIOps Faataitaiga i le Python

Ole poloka lavelave lea ile Python e faʻaalia ai le faʻaogaina o AIOps ile pulega IT:

faaulufale mai pandas pei pd
mai sklearn.ensemble faaulufale mai RandomForestClassifier
mai sklearn.model_selection faaulufale mai train_test_split
mai le sklearn.metrics faaulufale mai accuracy_score

# Tu'u fa'amaumauga
fa'amaumauga = pd.read_csv('it_data.csv')

# Faʻamatalaga muamua
X = data.drop(['faalavelave'], axis=1)
y = fa'amaumauga['mea na tupu']

# Vaevae faʻamatalaga i toleniga ma seti suʻega
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)

# A'oa'o le fa'avasegaina o vaomatua
rfc = RandomForestClassifier(n_estimators=100, random_state=42)
rfc.fit(X_train, y_train)

# Fai valo'aga
y_pred = rfc.predict(X_test)

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