Utaina te whirihoranga AWS DevOps Agent | B4N1

Utaina te whirihoranga AWS DevOps Agent

3 months ago · b4n1 Tiempo de lectura: 5 min

Whakaaunoa i te Tirohanga Tutukinga me nga Kaihoko AI-Powered me nga Utauta DevOps

Whakataki

I roto i nga taiao-kapua o enei ra, ko te tirotiro me te whakatau mai i nga aitua he waahanga nui o nga mahi DevOps. Heoi ano, ka pau te wa o te tirotiro i nga aitua a-ringa, ka paopao ki te hapa, me te maha o nga tohungatanga. Hei whakatika i enei wero, ka tirotirohia e matou te whakaurunga o nga kaihoko a Kiro AI me te AWS DevOps Agent me DSPy mo te tirotiro me te whakatau i nga aitua.

Maramatanga ki nga Waahanga

I mua i te ruku ki te whakauru, kia mohio tatou ki nga waahanga e pa ana:

  • Kiro AI-Powered Agents: Ko Kiro he papaahiko AI-hiko e taea ai te hanga i nga kaihoko ritenga mo te whakaaunoa i nga mahi me nga rerenga mahi. Ka taea te whakangungu i enei apiha mo nga momo puna raraunga, tae atu ki nga raarangi, ine, me nga konae whirihoranga.
  • AWS DevOps Agent: Ko te AWS DevOps Agent he taputapu e taea ai te mahi aunoatanga o nga mahi me nga rerenga mahi i runga i te AWS. Ka whakaratohia he huarahi ngawari me te tauineine ki te whakaaunoa i nga mahi, penei i te tuku tono, te aro turuki i nga mahi, me nga raru raruraru.
  • DSPy: Ko DSPy he whare pukapuka Python e whakarato ana i te huarahi ngawari me te pai ki te taunekeneke me DSPy, he papaa raraunga taketake-kapua. Ka taea e DSPy te hanga i nga raina paipa raraunga ritenga, te tukatuka raraunga, me te tirohanga raraunga.

Tirohanga Whakakotahitanga

Ko te whakaurunga o nga kaihoko a Kiro AI me te AWS DevOps Agent me DSPy e whai ake nei:

  1. Kohinga Raraunga: Ka kohia e te AWS DevOps Agent nga raraunga mai i nga momo puna, penei i nga raarangi, ine, me nga konae whirihoranga.
  2. Tukatuka Raraunga: Ka tukatukahia nga raraunga kua kohia ma te whakamahi i te DSPy, ka taea te hanga i nga raina paipa raraunga ritenga, te tukatuka raraunga, me te tirohanga raraunga.
  3. Whakangungu Agent: Ka whakamahia nga raraunga tukatuka ki te whakangungu i te kaihoko a Kiro AI-powered, e taea ai e te kaihoko te ako i nga tauira me nga rereke i roto i nga raraunga.
  4. Te Tirohanga Tikanga: Ina pa mai he aitua, ka whakaohohia te kaihoko a Kiro AI ki te tirotiro i te aitua ma te whakamahi i nga tauira me nga raraunga kua whakangungua.
  5. Whakatau: Ka tukuna e te kaihoko nga taunakitanga mo te whakatau mai i nga aitua, ka taea te whakamahi ma te AWS DevOps Agent.

Tauira Waehere

Anei tetahi tauira waehere ngawari e whakaatu ana i te whakaurunga o nga kaihoko a Kiro AI me te AWS DevOps Agent me DSPy:

kawemai os
kawemai json
mai kiros kawemai Agent
mai i dspy kawemai DSPy


aws_config = json.load(tuwhera('aws_config.json'))

# Waihangahia he kaihoko a Kiro AI
māngai = Agent(
    name='tutuki_take',
    description='Te whakatewhatewha me te whakatau i nga aitua aunoa',
    tauira='tauira_whakatewhatewhatanga_take'
)

# Waihangahia he tauira DSPy
dspy = DSPy(
    kaihautū = 'localhost',
    tauranga=8080,
    ingoa kaiwhakamahi = 'kaiwhakahaere',
    kupuhipa='kupuhipa'
)

# Tautuhia he paipa raraunga ma te whakamahi i te DSPy
paipa = dspy.pipeline(
    name='incident_investigation_pipeline',
    description='Pipa whakatewhatewha maiki aunoa',
    puna=['raupapa', 'mehua', 'whirihora']
)

# Whakangunguhia te kaihoko a Kiro AI ma te whakamahi i te paipa raraunga
agent.train(
    paipa = pipeline,
    raraunga=dspy.data(
        name='raunga_whakatewhatewhatanga_take',
        description='Raraunga rangahau maiki aunoa'
    )
)

# Whakaohohia te kaihoko a Kiro AI ki te tirotiro i tetahi aitua
aitua = {
    'id': 'INC-12345',
    'whakaahuatanga': 'Waimatanga tono'
}
agent.trigger(
    incident= aitua,
    raraunga=dspy.data(
        name='raunga_whakatewhatewhatanga_take',
        description='Raraunga rangahau maiki aunoa'
    )
)

# Tikina nga taunakitanga a te kaihoko mo te whakatau maiki
tūtohu = agent.recommendations(
    incident= aitua,
    raraunga=dspy.data(
        name='raunga_whakatewhatewhatanga_take',
        description='Raraunga rangahau maiki aunoa'
    )
)

# Whakahaerehia nga taunakitanga a te kaihoko ma te whakamahi i te AWS DevOps Agent
aws_config['tohutohu'] = tūtohutanga
aws_config['incident_id'] = maiki['id']
aws_config['description'] = maiki['whakaahua']

Tiki 5-10 Nga Tono Whakamahinga/Momohipi

Anei nga tono 5-10 e tino whakamahia ana mo tenei hangarau:

  1. Kiro AI-Powered Agent Creation:

māngai = Agent( name='tutuki_take', description='Te whakatewhatewha me te whakatau i nga aitua aunoa', tauira='tauira_whakatewhatewhatanga_take' )

2. **Wahanga Tauira DSPy**:
    ```python
dspy = DSPy(
    kaihautū = 'localhost',
    tauranga=8080,
    ingoa kaiwhakamahi = 'kaiwhakahaere',
    kupuhipa='kupuhipa'
)
  1. Whakamaramatanga Raraunga Pipeline:

paipa = dspy.pipeline( name='incident_investigation_pipeline', description='Pipa whakatewhatewha maiki aunoa', puna=['raupapa', 'mehua', 'whirihora'] )

4. **Kiro AI-Powered Agent Training**:
    ```python
agent.train(
    paipa = pipeline,
    raraunga=dspy.data(
        name='raunga_whakatewhatewhatanga_take',
        description='Raraunga rangahau maiki aunoa'
    )
)
  1. Kiro AI-Powered Agent Triggering:

agent.trigger( incident= aitua, raraunga=dspy.data( name='raunga_whakatewhatewhatanga_take', description='Raraunga rangahau maiki aunoa' ) )

6. **Tikina Nga Tohutohu Kaihoko**:
    ```python
tūtohu = agent.recommendations(
    incident= aitua,
    raraunga=dspy.data(
        name='raunga_whakatewhatewhatanga_take',
        description='Raraunga rangahau maiki aunoa'
    )
)
  1. AWS DevOps Agent Whirihoranga Uta ana:

aws_config = json.load(tuwhera('aws_config.json'))

8. **AWS DevOps Tohunga Tohunga Kaituku**:
    ```python
aws_config['tohutohu'] = tūtohutanga
aws_config['incident_id'] = maiki['id']
aws_config['description'] = maiki['whakaahua']
  1. Tikina Raraunga DSPy:

raraunga = dspy.data( name='raunga_whakatewhatewhatanga_take', description='Raraunga rangahau maiki aunoa' )

10. **Kiro AI-Powered Agent Model Loading**:
    ```python
tauira = agent.model(
    name='tauira_whakatewhatewhatanga',
    description='Tauira tirotiro aitua aunoa'
)

Whakakitenga

Anei he tirohanga o te whakaurunga ma te whakamahi i te Chart.js:

{
  "type": "pae",
  "raraunga": {
    "labels": ["Kohinga Raraunga", "Tukatuka Raraunga", "Whakangungu Kaituku", "Te Tirohanga Tikanga", "Whakatau"],
    "raunga raraunga": [
      {
        "label": "Wā (hekona)",
        "raraunga": [10, 20, 30, 40, 50],
        "Tae papamuri": [
          "rgba(255, 99, 132, 0.2)",
          "rgba(54, 162, 235, 0.2)",
          "rgba(255, 206, 86, 0.2)",
          "rgba(75, 192, 192, 0.2)",
          "rgba(153, 102, 255, 0.2)"
        ],
        "Taitapa Tae": [
          "rgba(255, 99, 132, 1)",
          "rgba(54, 162, 235, 1)",
          "rgba(255, 206, 86, 1)",
          "rgba(75, 192, 192, 1)",
          "rgba(153, 102, 255, 1)"
        ],
        "BorderWidth": 1
      }
    ]
  },
  "kōwhiringa": {
    "tauine": {
      "yAxes": [
        {
          "tika": {
            "beginAtZero": pono
          }
        }
      ]
    }
  }
}

Ko tenei whakakitenga e whakaatu ana i te wa i pau mo ia taahiraa i roto i te tukanga whakauru.

Whakamutunga

I roto i tenei tuhinga, i tirotirohia e matou te whakaurunga o nga kaihoko a Kiro AI me te AWS DevOps Agent me DSPy mo te tirotiro me te whakatau i nga aitua i roto i nga taiao-kapua. I whakaratohia e matou he tirohanga taipitopito o nga waahanga whakauru, te tukanga whakauru, me te tauira waehere ngawari e whakaatu ana i te whakauru. I whakaurua ano e matou he tirohanga o te whakaurunga ma te whakamahi i te Chart.js me te rarangi o nga tono 5-10 e tino whakamahia ana mo tenei hangarau.


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