Dala umenzeli we-Kiro | B4N1

Dala umenzeli we-Kiro

8 months ago · b4n1 Tiempo de lectura: 3 min

Uguquko lwe-ZeroOps DevOps ngama-AI-Powered Agents kanye ne-Orchestration

Isingeniso

Uguquko lwe-DevOps luguqule indlela isoftware ethuthukiswa ngayo, isetshenziswa, futhi inakekelwa. Kodwa-ke, indlela yendabuko ye-DevOps isadinga umzamo obalulekile wezandla, ubuchwepheshe, nesikhathi. Ukuvela kwama-ejenti anamandla e-AI namathuluzi e-orchestration kwenze kwaba nokwenzeka ukwenza izinqubo ze-DevOps ngokuzenzakalela, okuholela kumqondo we-ZeroOps. Kulesi sihloko, sizohlola ukuqaliswa kokuzenzakalela kwe-AI-powered DevOps kusetshenziswa ama-agent we-Kiro namathuluzi e-orchestration afana ne-LangChain, ngokugxila ekuguquleni imikhuba ye-DevOps ibe yi-ZeroOps.

Yini i-ZeroOps?

I-ZeroOps iwumqondo osafufusa ku-DevOps ohlose ukuqeda isidingo sokungenelela okwenziwa mathupha ekuthuthukisweni nasekuphakeleni. Ngokusebenzisa i-AI nokufunda komshini, i-ZeroOps inika amandla ukuthunyelwa okuzenzakalelayo, ukukala, nokuqapha izinhlelo zokusebenza, yehlisa ubungozi bephutha lomuntu futhi ikhulise ukusebenza kahle. Umgomo omkhulu we-ZeroOps ukudala uhlelo lokuziphilisa, oluzenzela wena ngokwakho, kanye nelokuzikala oludinga ukungenelela komuntu okuncane.

Abenzeli Anamandla E-AI: Ukhiye We-ZeroOps

Ama-agent anikwe amandla yi-AI izinhlelo zesofthiwe ezisebenzisa ama-algorithms okufunda ngomshini ukuze zenze imisebenzi ngokuzenzekelayo futhi zenze izinqumo. Ngomongo we-DevOps, ama-ejenti anamandla e-AI angasetshenziswa ukuqapha ukusebenza kohlelo lokusebenza, ukuthola okudidayo, futhi athathe izinyathelo zokulungisa. Ama-ejenti e-Kiro awuhlobo lwe-ejenti enamandla ye-AI engasetshenziselwa i-DevOps automation.

Ama-Kiro Agents

Ama-ejenti e-Kiro awuhlobo lwe-ejenti enamandla ye-AI engasetshenziselwa i-DevOps automation. Zenzelwe ukusebenza ngamathuluzi omculo we-orchestration afana ne-LangChain ukuze kusetshenziswe ngokuzenzakalelayo ukuthunyelwa, ukukala, nokuqapha izinhlelo zokusebenza. Ama-ejenti e-Kiro angaqeqeshwa kudatha yomlando ukuze afunde amaphethini nokudidayo, okubenza bakwazi ukwenza izinqumo ezinolwazi futhi bathathe isinyathelo sokulungisa.

I-LangChain: Ithuluzi Lokucula

I-LangChain iyithuluzi le-orchestration elivumela ukuzenzekelayo kwezinqubo ze-DevOps kusetshenziswa ama-agent anamandla e-AI afana ne-Kiro. Ihlinzeka ngohlaka lokwakha nokukhipha ama-ejenti anamandla e-AI angakwazi ukwenza imisebenzi efana nokusatshalaliswa, ukukala, nokuqapha. I-LangChain isekela uhla lwezilimi zokuhlela, ezihlanganisa iPython, Rust, neGo.

Ukusebenzisa i-AI-Powered DevOps Automation nge-Kiro neLangChain

Ukuze usebenzise i-AI-powered DevOps automation usebenzisa i-Kiro ne-LangChain, sidinga ukulandela lezi zinyathelo:

  1. Faka i-Kiro ne-LangChain: Faka i-Kiro ne-LangChain usebenzisa i-pip noma umphathi wephakheji owuthandayo.
  2. Dala i-Kiro Agent: Dala i-ejenti ye-Kiro engasetshenziselwa umshini we-DevOps. Lokhu kuhilela ukuchaza ukuziphatha kwe-ejenti, njengokuqapha ukusebenza kohlelo lokusebenza nokuthola okudidayo.
  3. Qeqesha Umenzeli we-Kiro: Qeqesha umenzeli we-Kiro ngedatha yomlando ukuze afunde amaphethini nokudidayo. Lokhu kwenza i-ejenti yenze izinqumo ezinolwazi futhi ithathe izinyathelo zokulungisa.
  4. Hlanganisa ne-LangChain: Hlanganisa i-ejenti ye-Kiro ne-LangChain ukuze wenze izinqubo ze-DevOps ngokuzenzakalela. Lokhu kuhilela ukuchaza ukuhamba komsebenzi we-orchestration kanye nokumisa i-ejenti ukuthi yenze imisebenzi.

Ikhodi Yesibonelo: Ukudala Umenzeli we-Kiro

Nasi isibonelo sebhulokhi yekhodi kuPython edala i-ejenti ye-Kiro:

ngenisa i-kiro
kusuka ku-langchain yokungenisa i-LLMS


i-ejenti = kiro.Agent(
    igama="umenzeli_wami",
    ukuziphatha={
        "monitor_performance": {
            "function": "monitor_performance",
            "args": ["app_name", "threshold"],
        },
        "detect_anomaly": {
            "function": "detect_anomaly",
            "args": ["app_name", "threshold"],
        },
    },
)

# Qeqesha i-ejenti ngedatha yomlando
i-agent.train(
    idatha=[
        {"app_name": "my_app", "performance": 90},
        {"app_name": "my_app", "performance": 80},
        {"app_name": "my_app", "performance": 70},
    ],
    umkhawulo=85,
)

# Hlanganisa neLangChain
llms = LLMS(
    i-ejenti=i-ejenti,
    ukuhamba komsebenzi={
        "monitor_performance": {
            "function": "monitor_performance",
            "args": ["my_app", 85],
        },
        "detect_anomaly": {
            "function": "detect_anomaly",
            "args": ["my_app", 85],
        },
    },
)

# Yenza uhlelo lokusebenza
llms.execute()

Le khodi idala i-ejenti ye-Kiro eqapha ukusebenza kohlelo lokusebenza futhi ithole okudidayo. Ibese iqeqesha i-ejenti kudatha yomlando futhi iyihlanganise ne-LangChain ukuze izenzele izinqubo ze-DevOps.

Imiyalo/Amazwibela Aphezulu Okuyi-5-10

Nansi imiyalo/ amazwibela aphezulu angu-5-10 e-Kiro ne-LangChain:

  1. Ukudala i-Kiro Agent: kiro.Agent(igama="my_agent", behaviour={"monitor_performance": {"function": "monitor_performance", "args": ["app_name", "threshold"]}})
  2. Ukuqeqesha i-Kiro Agent: agent.train(data=[{"app_name": "my_app", "performance": 90}], threshold=85)
  3. Ukuhlanganisa ne-LangChain: llms = LLMS(i-ejenti=i-ejenti, ukuhamba komsebenzi={"monitor_performance": {"function": "monitor_performance", "args": ["my_app", 85]}})
  4. Isebenzisa Ukugeleza Komsebenzi: llms.execute()
  5. Ukuchaza Ukugeleza Kokusebenza Kwe-Orchestration: ukugeleza komsebenzi = {"monitor_performance": {"function": "monitor_performance", "args": ["my_app", 85]}}
  6. Ukulungiselela I-ejenti Ukuze Iqhube Imisebenzi: i-agent.configure({"umsebenzi": "execute_task", "args": ["task_name"]})
  7. Ukuqapha Ukusebenza Kwesicelo: i-agent.monitor_performance(app_name="my_app", threshold=85)
  8. Ukuthola Okudidayo: i-agent.detect_anomaly(app_name="my_app", threshold=85)
  9. Ukuthola Isimo Somenzeli: i-ejenti.isimo()
  10. Ukuthola Amalogi Omenzeli: i-agent.logs()

Ukubona

Nakhu ukubonwa kwepayipi le-DevOps kusetshenziswa i-Chart.js:

{
  "type": "bar",
  "idatha": {
    "labels": ["Qapha Ukusebenza", "Thola Okungaqondakali", "Yenza Umsebenzi"],
    "idathasethi": [
      {
        "label": "Umenzeli",
        "idatha": [90, 80, 70],
        "backgroundColor": "rgba(255, 99, 132, 0.2)",
        "borderColor": "rgba(255, 99, 132, 1)",
        "BorderWidth": 1
      }
    ]
  },
  "izinketho": {
    "isihloko": {
      "Display": iqiniso,
      "text": "DevOps Pipeline"
    },
    "izikali": {
      "yAxes": [
        {
          "imikhaza": {
            "beginAtZero": kuyiqiniso
          }
        }
      ]
    }
  }
}

Lokhu kubukwa kukhombisa ipayipi le-DevOps elinezigaba ezintathu: Qapha Ukusebenza, Thola Okudidayo, kanye Nokwenza Umsebenzi. Ukusebenza komenzeli kuboniswa njengeshadi lebha.

Isiphetho

Kulesi sihloko, sihlole ukuqaliswa kokuzenzakalela kwe-AI-powered DevOps kusetshenziswa ama-ejenti e-Kiro namathuluzi e-orchestration afana ne-LangChain. Sakhe i-ejenti ye-Kiro eqapha ukusebenza kohlelo lokusebenza futhi ithola okudidayo, futhi siyihlanganise ne-LangChain ukuze isebenze ngokuzenzakalelayo izinqubo ze-DevOps. Siphinde sahlinzeka ngokubonwa kwepayipi le-DevOps sisebenzisa i-Chart.js. Umgomo omkhulu we-ZeroOps ukudala uhlelo lokuziphilisa, oluzenzela wena ngokwakho, kanye nelokuzikala oludinga ukungenelela komuntu okuncane. Ngokusebenzisa i-AI nokufunda komshini, singafinyelela lo mgomo futhi siguqule imikhuba ye-DevOps ibe yi-ZeroOps.

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