Automating Incident Investigation nrog AI-Powered Agents thiab DevOps Cov cuab yeej

Introduction

Hauv cov huab cua niaj hnub no, kev tshawb nrhiav thiab kev daws teeb meem yog qhov tseem ceeb ntawm DevOps kev coj ua. Txawm li cas los xij, kev tshawb nrhiav qhov xwm txheej ntawm phau ntawv tuaj yeem siv sijhawm ntev, ua yuam kev, thiab feem ntau yuav tsum muaj kev txawj ntse. Txhawm rau daws cov teeb meem no, peb yuav tshawb nrhiav kev koom ua ke ntawm Kiro AI-powered agents nrog AWS DevOps Agent thiab DSPy rau kev tshawb nrhiav thiab daws teeb meem.

Nkag siab txog cov Cheebtsam

Ua ntej dhia mus rau hauv kev sib koom ua ke, cia peb nkag siab txog cov khoom muaj feem cuam tshuam:

Kiro AI-Powered Agents: Kiro yog AI-powered platform uas tso cai rau kev tsim cov neeg ua haujlwm kev cai rau kev ua haujlwm thiab kev ua haujlwm. Cov neeg ua haujlwm no tuaj yeem kawm txog ntau yam ntaub ntawv, suav nrog cov cav, ntsuas, thiab cov ntaub ntawv teeb tsa.
AWS DevOps Agent: AWS DevOps Agent is a tool that enables the automation of tasks and workflows on AWS. Nws muab txoj hauv kev hloov pauv tau yooj yim thiab hloov pauv tau los ua haujlwm ua haujlwm, xws li xa cov ntawv thov, saib xyuas kev ua haujlwm, thiab daws teeb meem.
DSPy: DSPy yog lub tsev qiv ntawv Python uas muab txoj hauv kev yooj yim thiab muaj txiaj ntsig los cuam tshuam nrog DSPy, huab huab-native cov ntaub ntawv platform. DSPy tso cai rau kev tsim cov ntaub ntawv kev cai kav dej, ua cov ntaub ntawv, thiab pom cov ntaub ntawv.

Integration Overview

Kev koom ua ke ntawm Kiro AI-powered agents nrog AWS DevOps Agent thiab DSPy suav nrog cov kauj ruam hauv qab no:

Data Collection: AWS DevOps Agent sau cov ntaub ntawv los ntawm ntau qhov chaw, xws li cov cav, ntsuas, thiab cov ntaub ntawv teeb tsa.
Data Processing: Cov ntaub ntawv khaws cia yog ua tiav siv DSPy, uas ua rau muaj kev tsim cov ntaub ntawv kev cai kav, cov ntaub ntawv ua, thiab cov ntaub ntawv pom.
** Tus neeg saib xyuas kev cob qhia **: Cov ntaub ntawv ua tiav yog siv los cob qhia Kiro AI-powered tus neeg saib xyuas, uas ua rau tus neeg sawv cev kawm cov qauv thiab qhov tsis zoo ntawm cov ntaub ntawv.
** Kev Tshawb Fawb Teeb Meem **: Thaum muaj xwm txheej tshwm sim, Kiro AI-powered tus neeg sawv cev tau tshwm sim los tshawb xyuas qhov xwm txheej uas siv cov qauv thiab cov ntaub ntawv kawm.
Resolution: Tus neeg sawv cev muab cov lus pom zoo rau kev daws teeb meem, uas tuaj yeem ua tiav siv AWS DevOps Agent.

Code Piv txwv

Nov yog ib qho piv txwv yooj yooj yim uas qhia txog kev sib koom ua ke ntawm Kiro AI-powered agents nrog AWS DevOps Agent thiab DSPy: `` python import os import json los ntawm kiros import Agent los ntawm dspy import DSPy

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

Tsim tus neeg sawv cev Kiro AI-powered

agent = Agent( npe = 'incident_investigation', description = 'Kev tshawb nrhiav thiab kev daws teeb meem', model = 'incident_investigation_model' )

Tsim DSPy piv txwv

dspy = DSPy( host = 'localhost', chaw nres nkoj = 8080, username = 'admin', password = 'tus password' )

Txhais cov kav dej siv DSPy

pipeline = dspy.pipeline( npe = 'incident_investigation_pipeline', description='Automated xwm txheej tshawb nrhiav pipeline', source = ['logs', 'metrics', 'configuration'] )

Qhia Kiro AI-powered tus neeg saib xyuas siv cov ntaub ntawv kav dej

agent.train( pipeline = kav, data=dspy.data( npe = 'incident_investigation_data', description = 'Cov ntaub ntawv tshawb nrhiav qhov xwm txheej' ) )

Ua rau Kiro AI-powered tus neeg saib xyuas los tshawb xyuas qhov xwm txheej

xwm txheej = { 'ID': 'INC-12345', UA 'description': 'Application downtime' } agent.trigger( xwm txheej = tshwm sim, data=dspy.data( npe = 'incident_investigation_data', description = 'Cov ntaub ntawv tshawb nrhiav qhov xwm txheej' ) )

Tau txais tus neeg sawv cev cov lus pom zoo rau kev daws teeb meem

cov lus pom zoo = agent.recommendations( xwm txheej = tshwm sim, data=dspy.data( npe = 'incident_investigation_data', description = 'Cov ntaub ntawv tshawb nrhiav qhov xwm txheej' ) )

Ua raws tus neeg sawv cev cov lus pom zoo siv AWS DevOps Agent

aws_config['recommendations'] = recommendations aws_config['incident_id'] = events['id'] aws_config['description'] = events['description']

** Sab saum toj 5-10 Feem Ntau Siv Cov Lus Qhia/Snippet **

Nov yog cov saum toj kawg nkaus 5-10 feem ntau siv commands / snippet rau cov tshuab no:

1. **Kiro AI-Powered Agent Creation**:
    `` python
agent = Agent(
    npe = 'incident_investigation',
    description = 'Kev tshawb nrhiav thiab kev daws teeb meem',
    model = 'incident_investigation_model'
)

DSPy Instance Creation: `` python dspy = DSPy( host = 'localhost', chaw nres nkoj = 8080, username = 'admin', password = 'tus password' )

3. **Data Pipeline txhais**:
    `` python
pipeline = dspy.pipeline(
    npe = 'incident_investigation_pipeline',
    description='Automated xwm txheej tshawb nrhiav pipeline',
    source = ['logs', 'metrics', 'configuration']
)

Kiro AI-Powered Agent Training: `` python agent.train( pipeline = kav, data=dspy.data( npe = 'incident_investigation_data', description = 'Cov ntaub ntawv tshawb nrhiav qhov xwm txheej' ) )

5. **Kiro AI-Powered Agent Triggering**:
    `` python
agent.trigger(
    xwm txheej = tshwm sim,
    data=dspy.data(
        npe = 'incident_investigation_data',
        description = 'Cov ntaub ntawv tshawb nrhiav qhov xwm txheej'
    )
)

Tus Neeg Saib Xyuas Cov Lus Pom Zoo Retrieval: `` python cov lus pom zoo = agent.recommendations( xwm txheej = tshwm sim, data=dspy.data( npe = 'incident_investigation_data', description = 'Cov ntaub ntawv tshawb nrhiav qhov xwm txheej' ) )

7. **AWS DevOps Agent Configuration Loading**:
    `` python
aws_config = json.load(open('aws_config.json'))

AWS DevOps Agent Recommendation Execution: `` python aws_config['recommendations'] = recommendations aws_config['incident_id'] = events['id'] aws_config['description'] = events['description']

9. **DSPy Data Retrieval**:
    `` python
data = dspy.data(
    npe = 'incident_investigation_data',
    description = 'Cov ntaub ntawv tshawb nrhiav qhov xwm txheej'
)

** Kiro AI-Powered Agent Model Loading **: `` python model = agent.model( npe = 'incident_investigation_model', description = 'Automated xwm txheej tshawb nrhiav qauv' )


**Visualization**

Nov yog qhov pom ntawm kev sib koom ua ke siv Chart.js:
``json
{
  "type": "bar",
  "data": {
    "labels": ["Data Collection", "Data Processing", "Agent Training", "Incident Investigation", "Resolution"],
    "datasets": [
      {
        "label": "Lub Sijhawm (seconds)",
        "cov ntaub ntawv": [10, 20, 30, 40, 50],
        "backgroundColor": [
          "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)"
        ],
        "borderColor": [
          "rgba(255, 99, 132, 1)", ib.
          "rgba(54, 162, 235, 1)", ib.
          "rgba(255, 206, 86, 1)",
          "rgba(75, 192, 192, 1)", ib.
          "rgba(153, 102, 255, 1)"
        ],
        "BorderWidth": 1
      }
    ]
  },
  "options": {
    "scales": {
      "yAxes": [
        {
          "ticks": {
            "beginAtZero": tseeb
          }
        }
      ]
    }
  }
}

Qhov kev pom pom no qhia tau hais tias lub sijhawm ua haujlwm rau txhua kauj ruam hauv kev sib koom ua ke.

Qhov xaus

Hauv tsab xov xwm no, peb tau tshawb fawb txog kev koom ua ke ntawm Kiro AI-powered agents nrog AWS DevOps Agent thiab DSPy rau kev tshawb nrhiav qhov xwm txheej thiab kev daws teeb meem hauv huab cua ib puag ncig. Peb tau muab cov ncauj lus ntxaws ntxaws ntawm cov khoom sib koom ua ke, cov txheej txheem kev sib koom ua ke, thiab cov qauv kev cai yooj yim uas qhia txog kev sib koom ua ke. Peb kuj suav nrog kev pom kev pom ntawm kev sib koom ua ke siv Chart.js thiab cov npe ntawm 5-10 feem ntau siv cov lus txib / ntu rau cov thev naus laus zis no.

Load the AWS DevOps Agent configuration