Pangani wothandizira wa Kiro | B4N1

Pangani wothandizira wa Kiro

3 months ago · b4n1 Read time: 3 min

Kumanga Madongosolo Okhazikika Okhazikika Ndi AI-Powered DevOps Automation

Chiyambi

M'mawonekedwe amakono othamanga kwambiri a digito, mapulogalamu a mapulogalamu akuchulukirachulukira komanso olumikizana, zomwe zimawapangitsa kukhala pachiwopsezo cholephera komanso kutsika. Kuti achepetse zoopsazi, mabungwe akutembenukira ku AI-powered DevOps automation kuti apange mapulogalamu okhazikika omwe amatha kusintha momwe zinthu zikuyendera komanso kuchepetsa kutha kwa kuzimitsidwa. M'nkhaniyi, tiwona lingaliro la njira za ZeroOps ndi momwe ma Kiro AI-powered agents ndi LangChain angathandizire kuti apititse patsogolo ma automation a DevOps, kugwiritsa ntchito mapulogalamu odziwika bwino komanso kupanga zisankho motsogozedwa ndi AI.

ZeroOps ndi chiyani?

ZeroOps ndi njira ya DevOps yomwe cholinga chake ndi kuthetsa kufunikira kwa kulowererapo kwa anthu pakuyika ndi kuyang'anira machitidwe a mapulogalamu. Izi zimatheka pogwiritsa ntchito zida zamagetsi zamagetsi za AI zomwe zimatha kuzindikira, kuzindikira, ndi kuthetsa mavuto popanda kukhudzidwa ndi anthu. ZeroOps imachokera pa mfundo zophatikizira mosalekeza ndi kutumiza mosalekeza (CI/CD), pomwe kusintha kwa ma code kumangomangidwa, kuyesedwa, ndikutumizidwa kumalo opangira.

Kiro AI-Powered Agents

Kiro ndi wothandizira wopangidwa ndi AI yemwe amatha kugwiritsa ntchito makina osiyanasiyana a DevOps, monga kuyang'anira, kudula mitengo, ndi kuyankha zochitika. Kiro amagwiritsa ntchito makina owerengera ma algorithms kusanthula deta yadongosolo ndikulosera zomwe zingachitike zisanachitike. Izi zimapangitsa kuti pakhale njira zodzitetezera kuti zipewe kuzimitsidwa komanso kuchepetsa nthawi yopumira.

LangChain

LangChain ndi laibulale ya Python yomwe imapereka chimango chomangira ma AI ochezera. Itha kugwiritsidwa ntchito kupanga ma chatbots, othandizira mawu, ndi njira zina zoyankhulirana zomwe zimatha kulumikizana ndi ogwiritsa ntchito ndi machitidwe ena. LangChain ndiwothandiza makamaka pomanga machitidwe a ZeroOps, chifukwa angagwiritsidwe ntchito popanga zoyankhulirana zomwe zingapereke ndemanga zenizeni zenizeni ndi chitsogozo kwa opanga ndi ogwira ntchito.

Kukhazikitsa ZeroOps ndi Kiro ndi LangChain

Kuti tigwiritse ntchito ZeroOps ndi Kiro ndi LangChain, tifunika kutsatira izi:

  1. Konzani Kiro: Ikani Kiro pa makina anu ndikusintha kuti aziyang'anira logi ndi ma metric a pulogalamu yanu.
  2. ** Pangani mawonekedwe a LangChain **: Gwiritsani ntchito LangChain kuti mupange mawonekedwe oyankhulana omwe angagwirizane ndi Kiro ndikupereka ndemanga zenizeni zenizeni ndi chitsogozo kwa opanga ndi ogwira ntchito.
  3. ** Phatikizani Kiro ndi LangChain **: Gwiritsani ntchito LangChain API kuti muphatikize Kiro ndi mawonekedwe anu okambirana.
  4. ** Gwiritsani ntchito kupanga **: Tumizani dongosolo lanu la ZeroOps kuti mupange ndikuyesa ntchito yake.

Kodi Chitsanzo

Nachi chitsanzo chosavuta cha momwe mungagwiritsire ntchito Kiro ndi LangChain kuti mupange ntchito ya DevOps:

import kiro
kuchokera ku langchain import LLMS


kiro_agent = kiro.Agent()

# Pangani LangChain LLMS
LLMS = LLMS (
    model="davinci",
    kutentha=0.7,
    max_tokens=2048,
    imani=["\n", "\n\n"],
)

# Fotokozani ntchito yosinthira ntchito ya DevOps
def automate_task():
    # Gwiritsani ntchito Kiro kuyang'anira zipika ndi ma metric
    logs = kiro_agent.get_logs()
    metrics = kiro_agent.get_metrics()

    # Gwiritsani ntchito LangChain kusanthula mitengo ndi ma metric
    kusanthula = llms.run(
        input={"logs": logs, "metrics": metrics},
        ntchito="kusanthula",
    )

    # Chitanipo kanthu potengera kusanthula
    ngati kusanthula["zotsatira"] == "nkhani":
        # Chitanipo kanthu kokonza
        kiro_agent.take_action()

# Yambitsani ntchito
automate_task()

**Malamulo/Zidutswa Zapamwamba za 5-10 **

Nawa ena mwa malamulo omwe amagwiritsidwa ntchito kwambiri ndi mawu a Kiro ndi LangChain:

  1. Kiro: kiro_agent.get_logs(): Pezani zolemba za pulogalamu kuchokera kwa Kiro.
  2. Kiro: kiro_agent.get_metrics(): Pezani ma metrics a pulogalamu kuchokera kwa Kiro.
  3. LangChain: llms.run(input={"logs": logs, "metrics": metrics}, task="analyze"): Unikani zipika ndi ma metrics pogwiritsa ntchito LangChain.
  4. Kiro: kiro_agent.take_action(): Chitanipo kanthu pokonza potengera kusanthula.
  5. LangChain: llms.generate_response(input={"user": "hello"}, task="response"): Perekani kuyankha kwa wogwiritsa ntchito.
  6. Kiro: kiro_agent.get_status(): Pezani momwe pulogalamuyo ilili.
  7. LangChain: llms.run(input={"logs": logs, "metrics": metrics}, task="predict"): Fotokozerani zomwe zingatheke pogwiritsa ntchito LangChain.
  8. Kiro: kiro_agent.set_config(config={"log_level": "debug"}): Khazikitsani zochunira za Kiro.
  9. LangChain: llms.run(input={"user": "help"}, task="help"): Perekani chithandizo kwa wogwiritsa ntchito.
  10. Kiro: kiro_agent.get_logs(limit=100): Pezani zolemba 100 zomaliza kuchokera kwa Kiro.

**Kuwona **

Nayi chithunzithunzi chosavuta cha dongosolo la ZeroOps pogwiritsa ntchito Chart.js:

{
  "type": "bar",
  "data": {
    "labels": ["Monitoring", "Analysis", "Action"],
    "ma dataset": [
      {
        "label": "Nthawi",
        "data": [10, 20, 30],
        "backgroundColor": ["#FF6384", "#36A2EB", "#FFCE56"]
      }
    ]
  },
  "zosankha": {
    "mutu": {
      "kuwonetsa": zoona,
      "text": "ZeroOps System"
    },
    "miyeso": {
      "yAxes": [
        {
          "nkhupakupa": {
            "beginAtZero": zoona
          }
        }
      ]
    }
  }
}

Chiwonetserochi chikuwonetsa nthawi yomwe imatengedwa pagawo lililonse la dongosolo la ZeroOps, kuyambira pakuwunika mpaka kuchitapo kanthu.

Mapeto

M'nkhaniyi, tafufuza lingaliro la njira za ZeroOps ndi momwe ma Kiro AI-powered agents ndi LangChain angathandizire kuti apititse patsogolo ma automation a DevOps, kugwiritsa ntchito mapulogalamu odziwika bwino komanso kupanga zisankho motsogozedwa ndi AI. Taperekanso chitsanzo chosavuta cha code komanso mawonekedwe a ZeroOps system. Pogwiritsa ntchito ZeroOps, mabungwe amatha kupanga mapulogalamu okhazikika omwe angagwirizane ndi kusintha kwa madera ndikuchepetsa zovuta za kuzimitsidwa.


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