Bokamoso ba AIOps: Ho kopanya AI bakeng sa Tsamaiso ea IT e sebetsang | B4N1

Bokamoso ba AIOps: Ho kopanya AI bakeng sa Tsamaiso ea IT e sebetsang

9 months ago · b4n1 Read time: 6 min

Kenyelletso

Phetoho e potlakileng ea thekenoloji e lebisitse ho kholo e kholo ea ho rarahana ha mekhoa ea morao-rao ea IT. Ka lebaka leo, lihlopha tsa IT li tobane le mathata a e-s'o ka a e-ba teng ho laola le ho boloka mekhoa ena, e leng se lebisang ho fokotseng nako e eketsehileng, ho fokotseha ha tlhahiso, le litšenyehelo tse phahameng tsa ts'ebetso. Ho rarolla mathata ana, mohopolo oa Artificial Intelligence bakeng sa Ts'ebetso ea IT (AIOps) o hlahile e le phetoho ea papali. AIOps e phahamisa ho ithuta ka mochini le AI ho fetola phallo ea mosebetsi ea DevOps, e nolofalletsa taolo e matla ea IT, litlhahlobo tse lebelloang, le boiketsetso.

Sengoliloeng sena, re tla hlahloba bokamoso ba AIOps, melemo ea eona, le maano a ts'ebetsong. Re tla boela re shebane le lithuto tsa liketsahalo tsa lefats'e la sebele le ho fana ka thibelo e rarahaneng ea khoutu ho bontša tšebeliso ea AIOps tsamaisong ea IT.

AIOps ke eng?

AIOps ke sebaka se hlahang se kopanyang matla a bohlale ba maiketsetso (AI) le ho ithuta ka mochini (ML) le ts'ebetso ea IT (ITOps) ho ntlafatsa ts'ebetso, katleho le ts'epahalo ea lits'ebeletso tsa IT. Li-platform tsa AIOps li sebelisa li-analytics tsa data, mohlala oa ponelopele, le boiketsetso ho tseba le ho rarolla mathata a IT pele a fetoha mathata a maholo.

Li-AIOps li ka sebelisoa libakeng tse fapaneng tsa taolo ea IT, ho kenyelletsa:

  1. Predictive Analytics: Mekhatlo ea AIOps e sebelisa mekhoa ea ho ithuta ka mochine ho hlahloba lintlha tsa histori le ho bolela esale pele mathata a ka bang teng a IT, ho nolofalletsa tlhokomelo e tsoelang pele le ho fokotsa nako ea ho sebetsa.
  2. **Taolo ea Ketsahalo **: AIOps e khona ho lemoha le ho rarolla liketsahalo tsa IT ka bo eona, ho fokotsa nako ea ho lemoha (MTTD) le ho bolela nako ea ho rarolla (MTTR).
  3. Automation: AIOps e ka iketsetsa mesebetsi e tloaelehileng, joalo ka taolo ea tlhophiso, taolo ea li-patch, le bekapo le ho hlaphoheloa.

Melemo ea AIOps

Melemo ea AIOps e mengata ebile e bohlokoa:

  1. Boitsebelo bo Ntlafetseng: AIOps e iketsetsa mesebetsi e tloaelehileng, e lokolla basebetsi ba IT hore ba tsepamise maikutlo matsapeng a leano.
  2. **Ho Tšepahala ho Ntlafetseng **: AIOps e bolela esale pele le ho thibela litaba tsa IT, ho fokotsa nako ea ho theoha le ho ntlafatsa botšepehi ba tsamaiso ka kakaretso.
  3. **Tlhahiso e Eketsehileng **: AIOps e nolofalletsa lihlopha tsa IT ho arabela ka potlako liketsahalong, ho fokotsa nako ea ho lemoha (MTTD) le ho bolela nako ea ho rarolla (MTTR).
  4. Ho Etsa Liqeto hamonate: AIOps e fa lihlopha tsa IT ka temohisiso ea nako ea sebele le li-analytics tsa ho lepa, tse nolofalletsang ho etsa liqeto ho itšetlehileng ka data.

Maano a Phethahatso

Ho kenya tšebetsong AIOps ho hloka mokhoa oa leano:

  1. Pokello ea Lintlha: Bokella lintlha tsa IT ho tsoa mehloling e fapaneng, ho kenyeletsoa li-log, metrics, le lifaele tsa tlhophiso.
  2. Khokahano ea Lintlha: Kopanya lintlha tse tsoang mehloling e fapaneng ho ea sethaleng se le seng.
  3. Ho Ithuta ka Mochini: Sebelisa li-algorithms tsa ho ithuta ka mochini ho sekaseka lintlha le ho bolela esale pele litaba tse ka bang teng tsa IT.
  4. Automation: Iketsetse mesebetsi e tloaelehileng le phallo ea mosebetsi.
  5. Tlhokomelo le Maikutlo: Tsoela pele ho beha leihlo tšebetso ea AIOps le ho fana ka maikutlo ho ntlafatsa ho nepahala le ho sebetsa hantle.

Lithuto tsa 'Nete tsa Lefatše

Mekhatlo e 'maloa e sebelisitse AIOps ka katleho ho fetola tšebetso ea bona ea tsamaiso ea IT:

  1. Verizon: Verizon e kentse AIOps ts'ebetsong ho ntlafatsa ts'epahalo ea marang-rang le ho fokotsa nako ea ho theoha. Sethala se sebelisitse ho ithuta ka mochine ho bolela esale pele le ho thibela mathata a marang-rang, ho fella ka ho fokotsa nako ea 30%.
  2. AT&T: AT&T e sebelisitse AIOps ho ntlafatsa taolo ea liketsahalo le ho fokotsa nako ea ho lemoha (MTTD) le ho bolela nako ea ho rarolla (MTTR). Sethala se sebelisitse boits'oaro ho lemoha le ho rarolla liketsahalo tsa IT, ho fella ka ho fokotseha ha 40% ho MTTD le ho fokotsa 50% ho MTTR.
  3. Microsoft: Microsoft e kentse AIOps ts'ebetsong ho ntlafatsa analytics ea ho lepa le ho iketsetsa lintho. Sethala se sebelisitse ho ithuta ka mochini ho bolela esale pele litaba tse ka bang teng tsa IT, ho nolofalletsa tlhokomelo e matla le ho fokotsa nako.

Code Block: AIOps Mohlala ho Python

Mona ke sebaka se rarahaneng sa khoutu ho Python se bonts'ang ts'ebeliso ea AIOps taolong ea IT:

kenya li-pandas joalo ka pd
ho tsoa ho sklearn.ensemble import RandomForestClassifier
ho tsoa ho sklearn.model_selection import train_test_split
ho tsoa ho sklearn.metrics import accuracy_score

# Kenya data
data = pd.read_csv('it_data.csv')

# Kenya data esale pele
X = data. drop(['ketsahalo'], axis=1)
y = data['ketsahalo']

# Arola lintlha ho lihlopha tsa koetliso le liteko
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)

# Koetlisa sehlopha sa moru se sa reroang
rfc = RandomForestClassifier(n_estimators=100, random_state=42)
rfc.fit(X_train, y_train)

# Etsa likhakanyo
y_pred = rfc.predict(X_test)

# Lekola mohlala
nepahalo = accuracy_score(y_test, y_pred)
hatisa(f'Ho nepahala: {ho nepahala:.2f}')

# Sebelisa mohlala ho bolela esale pele litaba tse ka bang teng tsa IT
new_data = pd.DataFrame({'cpu_usage': [80], 'memory_usage': [90]})
ho bolela esale pele = rfc.predict(new_data)
haeba ho bolela esale pele[0] == 1:
    hatisa('Taba e ka bang teng ea IT e fumanoe!')

Sebaka sena sa khoutu se sebelisa sehlopha sa moru se sa sebetseng ho bolela esale pele litaba tse ka bang teng tsa IT ho latela CPU le data ea ts'ebeliso ea memori. Mohlala o koetliselitsoe ho data ea nalane mme o sebelisetsoa ho bolela esale pele ka data e ncha.

Ponahalo: Boqapi ba Platform ea AIOps

Mona ke pono ea meralo ea sethala sa AIOps e sebelisang Chart.js:

{
  "type": "pieChart",
  "data": {
    "labels": ["Pokello ea Lintlha", "Khokahano ea Lintlha", "Ho Ithuta ka Mochine", "Automation", "Boikutlo le Maikutlo"],
    "lintlha tsa boitsebiso": [
      {
        "label": "AIOps Platform Architecture",
        "data": [30, 20, 20, 15, 15],
        "backgroundColor": ["#FF6384", "#36A2EB", "#FFCE56", "#4BC0C0", "#FF99CC"],
        "hoverBackgroundColor": ["#FF99CC", "#36A2EB", "#FFCE56", "#4BC0C0", "#FF99CC"]
      }
    ]
  },
  "likgetho": {
    "sehlooho": {
      "bontša": 'nete,
      "text": "AIOps Platform Architecture"
    },
    "tšōmo": {
      "pontšo": 'nete
    }
  }
}

Ponahalo ena e bonts'a likarolo tse fapaneng tsa meralo ea sethala sa AIOps, ho kenyeletsoa pokello ea lintlha, kopanyo ea data, ho ithuta ka mochini, ho iketsetsa le ho beha leihlo le maikutlo.

Qetello

AIOps ke theknoloji e fetolang lipapali e fetolang tsela eo lihlopha tsa IT li laolang le ho boloka litsamaiso tse rarahaneng tsa IT. Ka ho matlafatsa ho ithuta ka mochini le AI, AIOps e thusa taolo ea IT e tsoetseng pele, litlhahlobo tse lebelloang esale pele, le boiketsetso, tse lebisang ho ntlafatseng ts'ebetso, ts'epo e ntlafalitsoeng, le tlhahiso e eketsehileng. Ka ho kenya tšebetsong li-AIOps, mekhatlo e ka fokotsa nako ea ho theoha, ea ntlafatsa ho etsa liqeto, 'me ea fumana monyetla oa tlholisano 'marakeng.

Ha mahlale a ntse a tsoela pele ho fetoha, re ka lebella ho bona lits'ebetso tse ncha tsa AIOps tsamaisong ea IT. Ka bokhoni ba eona ba ho fetola tsela eo re tsamaisang lits'ebetso tsa IT, AIOps ke lebala le khahlisang le le ntseng le hola ka potlako le lokelang ho beoa leihlo.

Have Questions?

Let's Talk

Contact me on LinkedIn