** Iyipada ZeroOps DevOps pẹlu Awọn Aṣoju Agbara AI ati Orchestration ***

Ibere

Iyika DevOps ti yipada ni ọna ti a ṣe agbekalẹ sọfitiwia, fi ransẹ, ati itọju. Sibẹsibẹ, ọna DevOps ti aṣa tun nilo igbiyanju afọwọṣe pataki, oye, ati akoko. Ifarahan ti awọn aṣoju agbara AI ati awọn irinṣẹ orchestration ti jẹ ki o ṣee ṣe lati ṣe adaṣe awọn ilana DevOps, ti o yori si imọran ti ZeroOps. Ninu àpilẹkọ yii, a yoo ṣawari imuse ti AI-agbara DevOps automation nipa lilo awọn aṣoju Kiro ati awọn irinṣẹ orchestration bi LangChain, pẹlu idojukọ lori iyipada awọn iṣẹ DevOps sinu ZeroOps.

Kini ZeroOps?

ZeroOps jẹ imọran ti n yọ jade ni DevOps ti o ni ero lati yọkuro iwulo fun ilowosi afọwọṣe ni idagbasoke ati ilana imuṣiṣẹ. Nipa gbigbe AI ati ikẹkọ ẹrọ, ZeroOps jẹ ki imuṣiṣẹ adaṣe adaṣe, iwọn, ati ibojuwo awọn ohun elo, idinku eewu aṣiṣe eniyan ati ṣiṣe ilọsiwaju. Ibi-afẹde ti o ga julọ ti ZeroOps ni lati ṣẹda imularada ti ara ẹni, iṣapeye, ati eto igbelewọn ti ara ẹni ti o nilo idasi eniyan diẹ.

** Awọn Aṣoju Agbara AI: Kokoro si ZeroOps ***

Awọn aṣoju agbara AI jẹ awọn eto sọfitiwia ti o lo awọn algoridimu ikẹkọ ẹrọ lati ṣe adaṣe awọn iṣẹ ṣiṣe ati ṣe awọn ipinnu. Ninu ọrọ ti DevOps, awọn aṣoju ti o ni agbara AI le ṣee lo lati ṣe atẹle iṣẹ ṣiṣe ohun elo, ṣe awari awọn aiṣedeede, ati ṣe igbese atunṣe. Awọn aṣoju Kiro jẹ iru oluranlowo AI-agbara ti o le ṣee lo fun adaṣe DevOps.

** Awọn aṣoju Kiro ***

Awọn aṣoju Kiro jẹ iru oluranlowo AI-agbara ti o le ṣee lo fun adaṣe DevOps. Wọn ṣe apẹrẹ lati ṣiṣẹ pẹlu awọn irinṣẹ orchestration bi LangChain lati ṣe adaṣe adaṣe, iwọn, ati ibojuwo awọn ohun elo. Awọn aṣoju Kiro le ni ikẹkọ lori data itan lati kọ ẹkọ awọn ilana ati awọn aiṣedeede, ti o fun wọn laaye lati ṣe awọn ipinnu alaye ati ṣe igbese atunṣe.

**LangChain: Irinṣẹ Orchestration ***

LangChain jẹ ohun elo orchestration ti o jẹ ki adaṣe adaṣe ti awọn ilana DevOps nipa lilo awọn aṣoju agbara AI bi Kiro. O pese ilana kan fun kikọ ati gbigbe awọn aṣoju ti o ni agbara AI ti o le ṣe adaṣe awọn iṣẹ ṣiṣe bii imuṣiṣẹ, iwọn, ati ibojuwo. LangChain ṣe atilẹyin ọpọlọpọ awọn ede siseto, pẹlu Python, Rust, ati Go.

** Ṣiṣe adaṣe adaṣe DevOps Agbara AI pẹlu Kiro ati LangChain ***

Lati ṣe adaṣe adaṣe DevOps ti AI-agbara ni lilo Kiro ati LangChain, a nilo lati tẹle awọn igbesẹ wọnyi:

1. ** Fi Kiro ati LangChain sori ẹrọ ***: Fi Kiro ati LangChain sori ẹrọ nipa lilo pip tabi oluṣakoso package ti o fẹ.
2. ** Ṣẹda a Kiro Agent ***: Ṣẹda a Kiro oluranlowo ti o le ṣee lo fun DevOps adaṣiṣẹ. Eyi pẹlu asọye ihuwasi aṣoju, gẹgẹbi ṣiṣe abojuto ohun elo ati wiwa awọn aiṣedeede.
3. ** Kọ Aṣoju Kiro ***: Kọ aṣoju Kiro lori data itan lati kọ ẹkọ awọn ilana ati awọn aiṣedeede. Eyi ngbanilaaye oluranlowo lati ṣe awọn ipinnu alaye ati ṣe igbese atunṣe.
4. ** Ṣepọ pẹlu LangChain ***: Ṣepọ oluranlowo Kiro pẹlu LangChain lati ṣe adaṣe awọn ilana DevOps. Eyi pẹlu asọye ṣiṣalaye iṣẹ ṣiṣe orchestration ati tunto aṣoju lati ṣe awọn iṣẹ ṣiṣe.

** Koodu apẹẹrẹ: Ṣiṣẹda Aṣoju Kiro kan ***

Eyi ni apẹẹrẹ koodu Àkọsílẹ ni Python ti o ṣẹda aṣoju Kiro kan: `` Python gbe wọle kiro lati agbewọle langchain LLMS

oluranlowo = kiro.Agent ( orukọ = "my_agent", iwa={ "abojuto_išẹ": { "iṣẹ": "monitor_performance", "args": ["app_name", "threshold"], }, "ṣewari_anomaly": { "iṣẹ": "detect_anomaly", "args": ["app_name", "threshold"], }, }, )

Kọ oluranlowo lori data itan

aṣoju.train( data=[ {"app_name": "my_app", "ìṣe": 90}, {"app_name": "my_app", "ìṣe": 80}, {"app_name": "my_app", "ìṣe": 70}, ], ala = 85, )

Ṣepọ pẹlu LangChain

llms = LLMS( aṣoju = aṣoju, iṣan-iṣẹ ={ "abojuto_išẹ": { "iṣẹ": "monitor_performance", "args": ["my_app", 85], }, "ṣewari_anomaly": { "iṣẹ": "detect_anomaly", "args": ["my_app", 85], }, }, )

Mu iṣẹ ṣiṣe ṣiṣẹ

llms.execute()

Koodu yii ṣẹda aṣoju Kiro kan ti o ṣe abojuto iṣẹ ohun elo ati ṣe awari awọn aiṣedeede. Lẹhinna o kọ oluranlowo lori data itan ati ṣepọ rẹ pẹlu LangChain lati ṣe adaṣe awọn ilana DevOps.

** Top 5-10 Awọn aṣẹ ti a lo julọ / awọn snippets ***


Eyi ni awọn pipaṣẹ 5-10 ti o lo julọ / awọn snippets fun Kiro ati LangChain:

1. **Ṣiṣẹda Aṣoju Kiro kan**: `kiro.Agent(name="my_agent", behavior={"monitor_performance": {"function": "monitor_performance", "args": ["app_name", "threshold"]}})`
2. ** Ikẹkọ Aṣoju Kiro **: `agent.train(data=[{"app_name": "my_app", "iṣẹ": 90}], threshold=85)'
3. **Ṣiṣepọ pẹlu LangChain**: `llms = LLMS(agent=agent, workflow={"atẹle_iṣẹ": {"iṣẹ": "atẹle_išẹ", "args": ["my_app", 85]}})`
4. ** Sise Sisan-iṣẹ ***: `llms.execute ()`
5. **Ṣitumọ Ṣiṣan Iṣẹ Orchestration **: `ṣiṣan iṣẹ = {"atẹle_iṣẹ": {"iṣẹ": "atẹle_iṣẹ", "args": ["my_app", 85]}'
6. **Ṣiṣeto Aṣoju lati Ṣiṣe Awọn iṣẹ-ṣiṣe **: `agent.configure({"function": "execute_task", "args": ["Task_name"]})'
7. ** Iṣe Abojuto Ohun elo **: `agent.monitor_performance(app_name="my_app", threshold=85)`
8. ** Ṣiṣawari Awọn Aiṣedeede ***: `agent.detect_anomaly(app_name="my_app", threshold=85)`
9. **Ngba Ipo Aṣoju ***: `agent.status()`
10. ** Ngba Awọn Akọsilẹ Aṣoju ***: `agent.logs ()`

** Iworan ***


Eyi ni iwoye ti opo gigun ti epo DevOps nipa lilo Chart.js:
`` json
{
  "type": "ọgọ",
  "data": {
    "labels": ["Iṣe Atẹle", "Ṣawari Anomaly", "Ṣiṣe Iṣẹ-ṣiṣe"],
    "awọn ipilẹ data": [
      {
        "label": "Aṣojú",
        "data": [90, 80, 70],
        "backgroundColor": "rgba(255, 99, 132, 0.2)",
        "borderColor": "rgba(255, 99, 132, 1)",
        "AalaWidth": 1
      }
    ]
  },
  "awọn aṣayan": {
    "akọle": {
      "ifihan": otitọ,
      "ọrọ": "Pipuline DevOps"
    },
    "iwọn": {
      "yAxes": [
        {
          "awọn ami": {
            "beginAtZero": otitọ
          }
        }
      ]
    }
  }
}

Iwoye yii ṣe afihan opo gigun ti epo DevOps pẹlu awọn ipele mẹta: Iṣe Atẹle, Wa Anomaly, ati Ṣiṣe Iṣẹ-ṣiṣe. Išẹ aṣoju jẹ afihan bi apẹrẹ igi.

Ipari

Ninu àpilẹkọ yii, a ṣawari awọn imuse ti AI-agbara DevOps automation lilo awọn aṣoju Kiro ati awọn irinṣẹ orchestration bi LangChain. A ṣẹda aṣoju Kiro kan ti o ṣe abojuto iṣẹ ṣiṣe ohun elo ati ṣawari awọn aiṣedeede, ati ṣepọ pẹlu LangChain lati ṣe adaṣe awọn ilana DevOps. A tun pese iwoye ti opo gigun ti epo DevOps nipa lilo Chart.js. Ibi-afẹde ti o ga julọ ti ZeroOps ni lati ṣẹda imularada ti ara ẹni, iṣapeye, ati eto igbelewọn ti ara ẹni ti o nilo idasi eniyan diẹ. Nipa gbigbe AI ati ikẹkọ ẹrọ, a le ṣaṣeyọri ibi-afẹde yii ati yi awọn iṣe DevOps pada si ZeroOps.