U'u le fa'atulagaina o le AWS DevOps Agent

Otometi Su'esu'ega Fa'alavelave ma AI-Powered Agents ma DevOps Tools

Fa'atomuaga

I totonu ole siosiomaga fa'aonaponei i aso nei, su'esu'ega fa'alavelave ma fofo o vaega taua ia o faiga a DevOps. Ae ui i lea, o suʻesuʻega faʻafuaseʻi tusilima e mafai ona alu ai le taimi, faʻalavelave faʻafuaseʻi, ma e masani ona manaʻomia ai le poto masani. Ina ia foia nei luitau, o le a matou suʻesuʻeina le tuʻufaʻatasia o Kiro AI-powered agents ma le AWS DevOps Agent ma le DSPy mo suʻesuʻega faʻafuaseʻi faʻalavelave ma fofo.

Malamalama i Vaega

Aʻo leʻi faʻafefe i le tuʻufaʻatasia, seʻi o tatou malamalama i vaega o loʻo aofia ai:

Kiro AI-Powered Agents: O Kiro o se fa'avae fa'amalosi AI lea e mafai ai ona fa'atūina sui fa'ale-aganu'u mo le fa'autometi o galuega ma galuega. O nei sui e mafai ona aʻoaʻoina i luga o faʻamatalaga faʻamatalaga eseese, e aofia ai ogalaau, metrics, ma faila faila.
AWS DevOps Agent: O le AWS DevOps Agent o se meafaigaluega e mafai ai ona faʻaogaina galuega ma galuega i luga o le AWS. E maua ai se auala fetu'utu'una'i ma fa'alautele e fa'autometi ai galuega, e pei o le fa'apipi'iina o talosaga, mata'ituina o fa'atinoga, ma fa'afitauli fa'afitauli.
DSPy: DSPy o se faletusi Python e maua ai se auala faigofie ma lelei e fegalegaleai ai ma le DSPy, o se faʻamaumauga faʻamaumauga o le ao. O le DSPy e mafai ai ona fausia ni laina fa'amaumauga masani, fa'asologa o fa'amaumauga, ma fa'amatalaga fa'amatalaga.

Va'aiga Tuufaatasi

O le tuʻufaʻatasia o Kiro AI-powered agents ma le AWS DevOps Agent ma le DSPy e aofia ai laasaga nei:

Aoina o Faʻamatalaga: E aoina e le AWS DevOps Agent faʻamatalaga mai punaoa eseese, e pei o ogalaau, metrics, ma faila faila.
** Fa'asologa o Fa'amatalaga**: O fa'amaumauga na aoina e fa'aogaina e fa'aaoga ai le DSPy, lea e mafai ai ona fa'atūina laina fa'amaumauga masani, fa'asologa o fa'amaumauga, ma fa'amatalaga fa'amatalaga.
Agent Training: O faʻamaumauga faʻatautaia e faʻaaogaina e toleni ai le Kiro AI-powered agent, lea e mafai ai e le sooupu ona aʻoaʻoina mamanu ma faʻalavelave i faʻamaumauga.
Su'esu'ega Fa'alavelave: Pe a tupu se fa'alavelave, e fa'aosoina le sui o le Kiro AI-powered e su'esu'e le fa'alavelave e fa'aaoga ai fa'ata'ita'iga a'oa'oina ma fa'amaumauga.
I'uga: E tu'uina atu e le sooupu fautuaga mo le fa'afitauli o fa'alavelave, lea e mafai ona fa'atinoina e fa'aaoga ai le AWS DevOps Agent.

Fa'ata'ita'iga Fa'ailoga

O se faʻataʻitaʻiga faigofie faʻataʻitaʻiga e faʻaalia ai le tuʻufaʻatasia o Kiro AI-powered agents ma AWS DevOps Agent ma DSPy:

faaulufale mai os
faaulufale mai json
mai kiros import Agent
mai dspy faaulufale mai DSPy


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

# Fausia se sui e faʻamalosia le Kiro AI
sui = sooupu(
    igoa='incident_investigation',
    fa'amatalaga='Su'esu'ega fa'alavelave fa'afuase'i ma fofo',
    fa'ata'ita'iga='fa'ata'ita'iga_su'esu'ega'
)

# Fausia se faʻataʻitaʻiga DSPy
dspy = DSPy(
    talimalo = 'localhost',
    taulaga=8080,
    username='admin',
    password='password'
)

# Fa'amatala se paipa fa'amaumauga e fa'aaoga ai le DSPy
paipa = dspy.pipeline(
    igoa='incident_investigation_pipeline',
    fa'amatalaga = 'Otometi fa'alavelave su'esu'ega paipa',
    puna = ['logs', 'metrics', 'configuration']
)

# Aʻoaʻo le Kiro AI-powered agent e faʻaaoga ai le paipa faʻamaumauga
agent.train(
    paipa=paipa,
    data=dspy.data(
        igoa='fa'amatalaga_su'esu'ega',
        fa'amatalaga='Otometi fa'amatalaga su'esu'ega fa'alavelave'
    )
)

# Faʻaoso le Kiro AI-powered agent e suʻesuʻe se mea na tupu
mea na tupu = {
    'id': 'INC-12345',
    'fa'amatalaga': 'Taimi fa'aletonu ole talosaga'
}
agent.trigger(
    fa'alavelave= fa'alavelave,
    data=dspy.data(
        igoa='fa'amatalaga_su'esu'ega',
        fa'amatalaga='Otometi fa'amatalaga su'esu'ega fa'alavelave'
    )
)

# Maua fautuaga a le sooupu mo le foia o faalavelave
fautuaga = agent.recommendations(
    fa'alavelave= fa'alavelave,
    data=dspy.data(
        igoa='fa'amatalaga_su'esu'ega',
        fa'amatalaga='Otometi fa'amatalaga su'esu'ega fa'alavelave'
    )
)

# Faʻatino fautuaga a le sooupu e faʻaaoga ai le AWS DevOps Agent
aws_config['fautuaga'] = fautuaga
aws_config['incident_id'] = fa'alavelave['id']
aws_config['description'] = fa'alavelave['fa'amatalaga']

Poloaiga/Snippets pito i luga 5-10 Fa'aaogaina

O le pito i luga 5-10 pito sili ona faʻaaogaina poloaiga / snippets mo lenei tekinolosi:

Kiro AI-Powered Agent Creation:

sui = sooupu( igoa='incident_investigation', fa'amatalaga='Su'esu'ega fa'alavelave fa'afuase'i ma fofo', fa'ata'ita'iga='fa'ata'ita'iga_su'esu'ega' )

2. **DSPy Fa'ata'ita'iga Foafoaga**:
    ```python
dspy = DSPy(
    talimalo = 'localhost',
    taulaga=8080,
    username='admin',
    password='password'
)

Fa'amatalaga Pipeline Fa'amatalaga:

paipa = dspy.pipeline( igoa='incident_investigation_pipeline', fa'amatalaga = 'Otometi fa'alavelave su'esu'ega paipa', puna = ['logs', 'metrics', 'configuration'] )

4. **Kiro AI-Powered Agent Aʻoaʻoga**:
    ```python
agent.train(
    paipa=paipa,
    data=dspy.data(
        igoa='fa'amatalaga_su'esu'ega',
        fa'amatalaga='Otometi fa'amatalaga su'esu'ega fa'alavelave'
    )
)

Kiro AI-Powered Agent Agent Triggering:

agent.trigger( fa'alavelave= fa'alavelave, data=dspy.data( igoa='fa'amatalaga_su'esu'ega', fa'amatalaga='Otometi fa'amatalaga su'esu'ega fa'alavelave' ) )

6. **Su'esu'eina o Fautuaga a le Ofisa**:
    ```python
fautuaga = agent.recommendations(
    fa'alavelave= fa'alavelave,
    data=dspy.data(
        igoa='fa'amatalaga_su'esu'ega',
        fa'amatalaga='Otometi fa'amatalaga su'esu'ega fa'alavelave'
    )
)

AWS DevOps Agent Configuration Loading:

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

8. **AWS DevOps Agent Recommendation Recommendation**:
    ```python
aws_config['fautuaga'] = fautuaga
aws_config['incident_id'] = fa'alavelave['id']
aws_config['description'] = fa'alavelave['fa'amatalaga']

Su'e Fa'amatalaga DSPy:

fa'amaumauga = dspy.data( igoa='fa'amatalaga_su'esu'ega', fa'amatalaga='Otometi fa'amatalaga su'esu'ega fa'alavelave' )

10. **Kiro AI-Powered Agent Agent Model Loading**:
    ```python
fa'ata'ita'iga = agent.model(
    igoa='incident_investigation_model',
    fa'amatalaga='Fa'ata'ita'iga su'esu'e fa'alavelave fa'afuase'i'
)

Va'aiga

Ole fa'aaliga lea ole tu'ufa'atasiga ile fa'aogaina ole Chart.js:

{
  "type": "pa",
  "fa'amatalaga": {
    "labels": ["Aoina mai o Fa'amatalaga", "Fa'asologa o Fa'amatalaga", "A'oa'oga a Sui Fa'atonu", "Su'esu'ega Fa'alavelave", "I'uga"],
    "fa'amaumauga": [
      {
        "label": "Taimi (sekona)",
        "faamatalaga": [10, 20, 30, 40, 50],
        "Lulu lanu": [
          "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)"
        ],
        "Lulu tuaoi": [
          "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
      }
    ]
  },
  "filifiliga": {
    "fua": {
      "yAxes": [
        {
          "tiki": {
            "beginAtZero": moni
          }
        }
      ]
    }
  }
}

O lenei fa'aaliga e fa'aalia ai le taimi e alu ai mo la'asaga ta'itasi i le fa'agasologa tu'ufa'atasia.

Fa'ai'uga

I totonu o lenei tusiga, na matou suʻesuʻeina le tuʻufaʻatasia o Kiro AI-powered agents ma le AWS DevOps Agent ma le DSPy mo suʻesuʻega faʻafuaseʻi faʻafuaseʻi ma fofo i totonu o siosiomaga masani. Matou te tuʻuina atu se faʻamatalaga auʻiliʻili o vaega o loʻo aʻafia ai, le faʻagasologa o le tuʻufaʻatasia, ma se faʻataʻitaʻiga faʻailoga faigofie e faʻaalia ai le tuʻufaʻatasia. Na matou aofia ai foʻi se faʻaaliga o le tuʻufaʻatasia e faʻaaoga ai le Chart.js ma se lisi o le pito i luga 5-10 sili ona faʻaaogaina poloaiga / snippets mo lenei tekinolosi.

U'u le fa'atulagaina o le AWS DevOps Agent

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