Theha moemeli oa Kiro

Ho aha Sisteme ea Resilient Software ka AI-Powered DevOps Automation

Selelekela

Sebakeng sa kajeno sa dijithale se potlakileng, lits'ebetso tsa software li ntse li rarahana le ho hokahana, e leng se etsang hore li be kotsing ea ho hloleha le ho fokotsa nako. Ho fokotsa likotsi tsena, mekhatlo e fetohela ho automation ea AI-powered DevOps ho aha lits'ebetso tse tsitsitseng tsa software tse ka ikamahanyang le maemo a fetohang le ho fokotsa tšusumetso ea ho tima. Sehloohong sena, re tla hlahloba mohopolo oa maano a ZeroOps le hore na liakhente tsa Kiro AI-powered le LangChain li ka sebelisoa joang ho ntlafatsa othomathike ea DevOps, lisebelisoa tse hlalositsoeng ke software le ho etsa liqeto tse tsamaisoang ke AI.

ZeroOps ke eng?

ZeroOps ke leano la DevOps le ikemiselitseng ho felisa tlhoko ea ho kenella ha batho ho tsamaisa le ho tsamaisa litsamaiso tsa software. Sena se finyelloa ka tšebeliso ea lisebelisoa tse ikemetseng tsa AI tse khonang ho lemoha, ho hlahloba le ho rarolla mathata ntle le ho ameha ha motho. ZeroOps e ipapisitse le melao-motheo ea ho kopanya ho tsoelang pele le phepelo e tsoelang pele (CI/CD), moo liphetoho tsa khoutu li hahoang, li lekoa, le ho isoa libakeng tsa tlhahiso.

Baemeli ba Matla a Kiro AI

Kiro ke sesebelisoa se tsamaisoang ke AI se ka sebelisoang ho iketsetsa mesebetsi e fapaneng ea DevOps, joalo ka ho beha leihlo, ho rema lifate le karabelo ea liketsahalo. Kiro e sebelisa li-algorithms tsa ho ithuta ka mochini ho sekaseka lintlha tsa sistimi le ho bolela esale pele mathata a ka bang teng pele a etsahala. Sena se lumella hore ho nkoe mehato e matla ho thibela ho tima le ho fokotsa nako.

LangChain

LangChain ke laebrari ea Python e fanang ka moralo oa ho aha likopo tsa puisano tsa AI. E ka sebelisoa ho theha li-chatbots, bathusi ba lentsoe, le lihokelo tse ling tsa puisano tse ka sebelisanang le basebelisi le litsamaiso tse ling. LangChain e na le thuso ka ho khetheha bakeng sa ho haha mekhoa ea ZeroOps, kaha e ka sebelisoa ho theha li-interfaces tsa lipuisano tse ka fanang ka maikutlo a nako ea sebele le tataiso ho baetsi le basebetsi.

Ho kenya tšebetsong ZeroOps ka Kiro le LangChain

Ho kenya tšebetsong ZeroOps ka Kiro le LangChain, re tla hloka ho latela mehato ena:

Beha Kiro: Kenya Kiro ho sistimi ea hau 'me u e hlophise ho beha leihlo lintlha le metrics ea sesebelisoa sa hau.
**Etsa sebopeho sa LangChain **: Sebelisa LangChain ho theha sebopeho sa moqoqo se ka sebelisanang le Kiro le ho fana ka maikutlo a nako ea sebele le tataiso ho baetsi le basebetsi.
** Kopanya Kiro le LangChain **: Sebelisa LangChain API ho kopanya Kiro le sebopeho sa hau sa puisano.
**Fetela ho tlhahiso **: Kenya sistimi ea hau ea ZeroOps ho hlahisa le ho leka ts'ebetso ea eona.

Mohlala oa khoutu

Mona ke mohlala o bonolo oa kamoo u ka sebelisang Kiro le LangChain ho iketsetsa mosebetsi oa DevOps:

kenya kiro
ho tsoa ho langchain import LLMS


kiro_agent = kiro.Agent()

# Theha LangChain LLMS
llms = LLMS(
    mohlala="davinci",
    mocheso=0.7,
    max_tokens=2048,
    emisa=["\n", "\n\n"],
)

# Hlalosa tšebetso ea ho iketsetsa mosebetsi oa DevOps
def automate_task():
    # Sebelisa Kiro ho lekola lits'ebetso le metrics ea ts'ebeliso
    logs = kiro_agent.get_logs()
    metrics = kiro_agent.get_metrics()

    # Sebelisa LangChain ho sekaseka lits'oants'o le metrics
    tlhahlobo = llms.run(
        input={"logs": logs, "metrics": metrics},
        mosebetsi = "hlahlobisisa",
    )

    # Nka mehato e ipapisitseng le tlhahlobo
    haeba tlhahlobo["sephetho"] == "taba":
        # Etsa mehato ea ho lokisa
        kiro_agent.take_action()

# Kenya ts'ebetso
automate_task()

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

Mona ke tse ling tsa litaelo le likotlo tse sebelisoang haholo bakeng sa Kiro le LangChain:

Kiro: kiro_agent.get_logs(): Fumana litlaleho tsa lits'ebetso ho tsoa ho Kiro.
Kiro: kiro_agent.get_metrics(): Fumana metrics ea ts'ebeliso ho tsoa ho Kiro.
LangChain: llms.run(input={"logs": logs, "metrics": metrics}, task="analyze"): Hlahloba li-log le metrics u sebelisa LangChain.
Kiro: kiro_agent.take_action(): Nka khato ea ho lokisa e ipapisitseng le tlhahlobo.
LangChain: llms.generate_response(input={"user": "hello"}, task="response"): Hlahisa karabelo ho tlhahiso ea mosebedisi.
Kiro: kiro_agent.get_status(): Fumana boemo ba sesebelisoa.
LangChain: llms.run(input={"logs": logs, "metrics": metrics}, task="predict"): Predict litaba tse ka hlahang u sebelisa LangChain.
Kiro: kiro_agent.set_config(config={"log_level": "debug"}): Beha tokiso bakeng sa Kiro.
LangChain: llms.run(input={"user": "help"}, task="thuso"): Fana ka thuso ho mosebelisi.
Kiro: kiro_agent.get_logs(limit=100): Fumana lintlha tse 100 tsa ho qetela tsa lits'ebetso ho tsoa ho Kiro.

Pono ya pono

Mona ke pono e bonolo ea sistimi ea ZeroOps e sebelisang Chart.js:

{
  "type": "bar",
  "data": {
    "labels": ["Tekolo", "Analysis", "Action"],
    "lintlha tsa boitsebiso": [
      {
        "label": "Nako",
        "data": [10, 20, 30],
        "backgroundColor": ["#FF6384", "#36A2EB", "#FFCE56"]
      }
    ]
  },
  "likgetho": {
    "sehlooho": {
      "bontša": 'nete,
      "text": "ZeroOps System"
    },
    "makala": {
      "yAxes": [
        {
          "li-ticks": {
            "beginAtZero": 'nete
          }
        }
      ]
    }
  }
}

Ponahalo ena e bonts'a nako e nkuoeng bakeng sa mohato o mong le o mong oa sistimi ea ZeroOps, ho tloha tlhahlobong ho isa ketsong.

Qetello

Sengoliloeng sena, re hlahlobile mohopolo oa maano a ZeroOps le hore na liakhente tsa Kiro AI-powered le LangChain li ka sebelisoa joang ho ntlafatsa automation ea DevOps, lisebelisoa tse hlalositsoeng ke software le ho etsa liqeto tse tsamaisoang ke AI. Hape re fane ka mohlala o bonolo oa khoutu le pono ea sistimi ea ZeroOps. Ka ho kenya ts'ebetsong ZeroOps, mekhatlo e ka haha litsamaiso tse tsitsitseng tsa software tse ka ikamahanyang le maemo a fetohang le ho fokotsa tšusumetso ea ho tima.

Theha moemeli oa Kiro

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