Phetoho ea ZeroOps DevOps ka AI-Powered Agents le Orchestration

Selelekela

Phetoho ea DevOps e fetotse tsela eo software e hlahisoang ka eona, e tsamaisoang le ho hlokomeloa. Leha ho le joalo, mokhoa oa setso oa DevOps o ntse o hloka boiteko bo matla ba matsoho, boitseanape le nako. Ho hlaha ha mahlahana a matla a AI le lisebelisoa tsa 'mino ho entse hore ho khonehe ho iketsetsa mekhoa ea DevOps, e lebisang mohopolong oa ZeroOps. Sehloohong sena, re tla hlahloba ts'ebetsong ea li-automation tsa AI-powered DevOps ho sebelisa li-agent tsa Kiro le lisebelisoa tsa 'mino oa liletsa tse kang LangChain, tse tsepamisitseng maikutlo ho fetola mekhoa ea DevOps ho ZeroOps.

ZeroOps ke eng?

ZeroOps ke mohopolo o hlahang ho DevOps o ikemiselitseng ho felisa tlhoko ea ho kenella ka letsoho molemong oa nts'etsopele le phepelo. Ka ho matlafatsa AI le ho ithuta ka mochini, ZeroOps e thusa ho tsamaisoa ka boiketsetso, ho lekanya, le ho beha leihlo lits'ebetso, ho fokotsa kotsi ea liphoso tsa batho le ho eketsa ts'ebetso. Sepheo sa ho qetela sa ZeroOps ke ho theha mokhoa oa ho ipholisa, oa ho iketsetsa, le oa ho ikemela o hlokang ho kenella ho fokolang ha motho.

Baemeli ba Matla a AI: Senotlolo sa ZeroOps

AI-powered agents ke mananeo a software a sebelisang li-algorithms tsa ho ithuta ka mochini ho iketsetsa mesebetsi le ho etsa liqeto. Boemong ba DevOps, mahlahana a tsamaisoang ke AI a ka sebelisoa ho lekola ts'ebetso ea ts'ebeliso, ho bona liphoso, le ho nka khato ea ho lokisa. Kiro agents ke mofuta oa AI-powered agent e ka sebelisoang bakeng sa DevOps automation.

Kiro Agents

Kiro agents ke mofuta oa AI-powered agent e ka sebelisoang bakeng sa DevOps automation. Li etselitsoe ho sebetsa ka lisebelisoa tsa 'mino oa liletsa tse kang LangChain ho tsamaisa, ho phahamisa le ho lekola lits'ebetso. Baemeli ba Kiro ba ka koetlisoa ka lintlha tsa histori ho ithuta mekhoa le li-anomalies, ho ba nolofalletsa ho etsa liqeto tse nang le tsebo le ho nka khato ea ho lokisa.

LangChain: Sesebediswa sa Orchestration

LangChain ke sesebelisoa sa 'mino oa liletsa se nolofalletsang ho iketsetsa mekhoa ea DevOps ho sebelisa li-agent tse tsamaisoang ke AI tse kang Kiro. E fana ka moralo oa ho aha le ho tsamaisa liakhente tse tsamaisoang ke AI tse ka iketsetsang mesebetsi e joalo ka ho tsamaisa, ho phahamisa le ho beha leihlo. LangChain e tšehetsa lipuo tse ngata tsa mananeo, ho akarelletsa le Python, Rust, le Go.

Ho kenya tšebetsong Automation ea AI-Powered DevOps ka Kiro le LangChain

Ho kenya tšebetsong li-automation tsa AI-powered DevOps ho sebelisa Kiro le LangChain, re hloka ho latela mehato ena:

1. Kenya Kiro le LangChain: Kenya Kiro le LangChain u sebelisa pip kapa mookameli oa sephutheloana seo u se ratang.
2. Etsa Moemeli oa Kiro: Theha moemeli oa Kiro o ka sebelisoang ho iketsetsa DevOps. Sena se kenyelletsa ho hlalosa boitšoaro ba moemeli, joalo ka ho beha leihlo ts'ebetso ea ts'ebeliso le ho lemoha mefokolo.
3. Koetlisa Moemeli oa Kiro: Koetlisa moemeli oa Kiro ka boitsebiso ba histori ho ithuta mekhoa le liphoso. Sena se nolofalletsa moemeli ho etsa liqeto tse nang le tsebo le ho nka khato ea ho lokisa.
4. ** Ikopanye le LangChain **: Kopanya moemeli oa Kiro le LangChain ho iketsetsa mekhoa ea DevOps. Sena se kenyelletsa ho hlalosa tšebetso ea orchestration le ho hlophisa moemeli hore a phethe mesebetsi.

**Mohlala oa Khoutu: Ho theha Moemeli oa Kiro **

Mona ke mohlala oa "code block" ho Python e etsang moemeli oa Kiro:

kenya kiro
ho tsoa ho langchain import LLMS


moemeli = kiro.Agent(
    lebitso = "moemedi_waka",
    boitšoaro={
        "monitor_performance": {
            "function": "monitor_performance",
            "args": ["app_name", "threshold"],
        },
        "hlokomela_ho se tloaelehe": {
            "function": "detect_anomaly",
            "args": ["app_name", "threshold"],
        },
    },
)

# Koetlisa moemeli ka data ea nalane
agent.train(
    lintlha=[
        {"app_name": "my_app", "performance": 90},
        {"app_name": "my_app", "performance": 80},
        {"app_name": "my_app", "performance": 70},
    ],
    moeli=85,
)

# Kopanya le LangChain
llms = LLMS(
    moemedi=moemedi,
    mokhoa oa tšebetso={
        "monitor_performance": {
            "function": "monitor_performance",
            "args": ["my_app", 85],
        },
        "hlokomela_ho se tloaelehe": {
            "function": "detect_anomaly",
            "args": ["my_app", 85],
        },
    },
)

# Kenya ts'ebetso ea ts'ebetso
llms.execute()

Khoutu ena e theha moemeli oa Kiro ea behang leihlo ts'ebetso ea ts'ebeliso le ho lemoha liphoso. E ntan'o koetlisa moemeli ho data ea histori le ho e kopanya le LangChain ho iketsetsa mekhoa ea DevOps.

Kaholimo ho 5-10 Litaelo/Lipotlana tse Sebelisitsoeng ka ho Fetisisa

Mona ke tse 5-10 tse sebelisoang ka ho fetesisa litaelo/likotoana tsa Kiro le LangChain:

1. Ho Etsa Kiro Agent: kiro.Agent(name="my_agent", behaviour={"monitor_performance": {"function": "monitor_performance", "args": ["app_name", "threshold"]}})
2. Ho Koetlisa Moemeli oa Kiro: agent.train(data=[{"app_name": "my_app", "performance": 90}], threshold=85)
3. Ho kopanya le LangChain: llms = LLMS(moemedi=moemedi, phallo ya mosebetsi={"monitor_performance": {"function": "monitor_performance", "args": ["my_app", 85]}})
4. Ho Phetha Phallo ea Mosebetsi: llms.execute()
5. Ho Hlalosa Tsamaiso ya Tshebetso ya Orchestration: workflow = {"monitor_performance": {"function": "monitor_performance", "args": ["my_app", 85]}}
6. Ho Hlophisa Moemedi ho Phetha Mesebetsi: agent.configure({"function": "execute_task", "args": ["task_name"]})
7. Tekolo ea Ts'ebetso ea Kopo: agent.monitor_performance(app_name="my_app", threshold=85)
8. Ho Lemoha Mathata: agent.detect_anomaly(app_name="my_app", threshold=85)
9. Ho Fumana Maemo a Moemedi: moemedi.maemo()
10. Ho Fumana Lintlha tsa Moemeli: agent.logs()

Pono ya pono

Mona ke pono ea lipeipi tsa DevOps tse sebelisang Chart.js:

{
  "type": "bar",
  "data": {
    "labels": ["Hlokomela Tshebetso", "Lemoha se sa Feleng", "Phetha Mosebetsi"],
    "lintlha tsa boitsebiso": [
      {
        "label": "Moemeli",
        "data": [90, 80, 70],
        "backgroundColor": "rgba(255, 99, 132, 0.2)",
        "borderColor": "rgba(255, 99, 132, 1)",
        "borderWidth": 1
      }
    ]
  },
  "likgetho": {
    "sehlooho": {
      "bontša": 'nete,
      "text": "DevOps Pipeline"
    },
    "makala": {
      "yAxes": [
        {
          "li-ticks": {
            "beginAtZero": 'nete
          }
        }
      ]
    }
  }
}

Pono ena e bonts'a phala ea DevOps e nang le mekhahlelo e meraro: Monitor Performance, Detect Anomaly, le Execute Task. Ts'ebetso ea moemeli e bonts'oa joalo ka chate ea bareki.

Qetello

Sehloohong sena, re ile ra hlahloba ts'ebetsong ea li-automation tsa AI-powered DevOps ho sebelisa li-agent tsa Kiro le lisebelisoa tsa 'mino oa liletsa tse kang LangChain. Re thehile moemeli oa Kiro o behang leihlo ts'ebetso ea ts'ebeliso le ho lemoha liphoso, ebe o o kopanya le LangChain ho iketsetsa lits'ebetso tsa DevOps. Hape re fane ka pono ea lipeipi tsa DevOps re sebelisa Chart.js. Sepheo sa ho qetela sa ZeroOps ke ho theha mokhoa oa ho ipholisa, oa ho iketsetsa, le oa ho ikemela o hlokang ho kenella ho fokolang ha motho. Ka ho matlafatsa AI le ho ithuta ka mochini, re ka fihlela sepheo sena mme ra fetola litloaelo tsa DevOps ho ZeroOps.