Mokhatlo oa Lintlafatso oa ZeroOps o nang le Baemeli ba AI le LangChain

Selelekela

Sebakeng se ntseng se fetoha ka potlako sa boenjineri ba software le DevOps, tlhoko ea 'mino oa motheo o sebetsang hantle le o ka senyehang o se o ntse o eketseha. Mekhoa e tloaelehileng ea tsamaiso ea mekhoa ea motheo hangata e itšetlehile ka tlhophiso ea matsoho le scripting, e leng se ka lebisang liphoso, ho se lumellane le mathata. Ho sebetsana le liphephetso tsena, ho hlahile paradigm e ncha: 'mino oa motheo oa ZeroOps le baemeli ba AI le LangChain.

ZeroOps ke eng?

ZeroOps ke mokhoa oa phetoho oa taolo ea litšebeletso tsa motheo o matlafatsang liakhente tsa AI le othomathike ho felisa tlhoko ea tlhophiso ea matsoho le mongolo. Ka ho iketsetsa bophelo bohle ba litšebeletso tsa motheo, ho tloha ho romelloa ho isa ho ho lekanya le ho lokisoa, ZeroOps e thusa mekhatlo ho fihlela maemo a sa lebelloang a ts'ebetso, scalability le ts'epahalo.

LangChain: The AI-Powered Automation Framework

LangChain ke moralo oa mohloli o bulehileng o nolofalletsang batho ba ntlafatsang ho haha ​​mesebetsi ea ho sebetsa ea AI-powered automation workflows ba sebelisa mokhoa o bonolo, o hlakileng oa lenaneo. Ka ho fana ka tlhaloso e phahameng ea boemo bo phahameng holim'a mathata a AI le automation, LangChain e etsa hore ho be bonolo ho etsa liphaephe tse rarahaneng tsa li-automation tse ka laolang esita le libaka tse rarahaneng ka ho fetisisa tsa mekhoa ea motheo.

Baemeli ba AI: Senotlolo sa ZeroOps

Baemeli ba AI ke likarolo tsa software tse sebelisang ho ithuta ka mochini le mekhoa e meng ea AI ho iketsetsa mesebetsi le ho etsa liqeto. Boemong ba ZeroOps, baemeli ba AI ba bapala karolo ea bohlokoa ho lekola bophelo bo botle ba litšebeletso tsa motheo, ho lemoha mefokolo, le ho nka khato ea tokiso ho netefatsa ts'ebetso e nepahetseng.

StackGen le OpsVerse: Ho potlakisa AI-Driven Automation

StackGen le OpsVerse ke lisebelisoa tse peli tse ncha tse potlakisang li-automation tse tsamaisoang ke AI bakeng sa boenjiniere le DevOps workflows. StackGen ke sesebelisoa sa ho hlahisa likhoutu se nolofalletsang batho ba ntlafatsang ho etsa litempele tsa meaho ea moetlo ba sebelisa syntax e bonolo, e phatlalatsang. OpsVerse, ka lehlakoreng le leng, ke sethala se fanang ka sebopeho se kopaneng bakeng sa ho laola libaka tse ngata tsa meaho le ho iketsetsa mosebetsi.

Ho kenya tšebetsong ZeroOps ka LangChain le AI Agents

Ho kenya tšebetsong ZeroOps ka liakhente tsa LangChain le AI, re tla latela mokhoa oa mohato ka mohato:

Mohato oa 1: Hlalosa Lithempleite tsa Meralo

Re sebelisa StackGen, re tla hlalosa litempele tsa meaho ea moetlo tse hlalosang tlhophiso e batloang ea litšebeletso. Sena se tla kenyelletsa lintlha tsa mochini o sebetsang, marang-rang, polokelo le lisebelisoa tse ling.

kenya stackgen


template = stackgen.Template(
    lebitso = "my_infrastructure",
    lisebelisoa=[
        stackgen.Resource(
            lebitso = "vm1",
            mofuta = "vm",
            thepa={
                "cpu": 2,
                "memori": 4,
                "polokelo": 100
            }
        ),
        stackgen.Resource(
            lebitso = "vm2",
            mofuta = "vm",
            thepa={
                "cpu": 4,
                "memori": 8,
                "polokelo": 200
            }
        )
    ]
)

# Hlahisa khoutu ea litšebeletso tsa motheo
infrastructure_code = template.generate()

Mohato oa 2: Theha li-AI Agents

Re sebelisa LangChain, re tla theha baemeli ba AI ba ka hlokomelang bophelo bo botle ba litšebeletso tsa motheo, ba lemoha mefokolo, 'me ba nke khato ea ho lokisa. Re tla hlalosa moemeli ea bonolo ea hlahlobang ts'ebeliso ea CPU le tlhokomeliso haeba e feta moeli o itseng.

import langchain

# Hlalosa moemeli oa AI
moemeli = langchain.Agent(
    lebitso = "cpu_agent",
    mofuta = "cpu",
    thepa={
        "moea": 80
    }
)

# Hlalosa logic ea moemeli
def check_cpu_usage(vm):
    # Lekola ts'ebeliso ea CPU
    cpu_usage = vm.get_cpu_usage()
    haeba cpu_usage > agent.properties["threshold"]:
        # Tlhokomeliso haeba ts'ebeliso ea CPU e feta moeli
        khutlisa "ts'ebeliso ea CPU e feta moeli"
    tse ling:
        # Khutlisetsa lefeela haeba ts'ebeliso ea CPU e le haufi
        khutla Ha ho letho

Mohato oa 3: Kopanya Baemeli ba AI le Lithempleite tsa Mehaho

Re tla kopanya liakhente tsa AI le litempele tsa litšebeletso tsa motheo ho theha pipeline e kopaneng ea othomathike. Phaephe ena e tla beha leihlo bophelo bo botle ba litšebeletso tsa motheo, e lemohe liphoso, 'me e nke khato ea tokiso ho netefatsa ts'ebetso e nepahetseng.

import langchain

# Hlalosa pompo ea othomathike
pipeline = langchain.Pipeline(
    lebitso = "pipeline" eaka",
    baemeli=[moemeli],
    litempele=[template]
)

# Tsamaisa lipeipi tsa othomathike
pipeline.run()

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

Mona ke tse 5-10 tse sebelisoang ka ho fetesisa ho sebelisa li-agent tsa LangChain le AI:

1. langchain.Agent(lebitso="cpu_agent", type="cpu", properties={"threshold": 80})
2. stackgen.Template(lebitso="my_infrastructure", resources=[...])
3. langchain.Pipeline(lebitso="my_pipeline", agents=[moemedi], dithempleite=[template])
4. agent.run(check_cpu_usage(vm))
5. template.hlahisa()
6. langchain.Agent.update_properties(moemedi, {"threshold": 90})
7. stackgen.Resource(lebitso="vm1", type="vm", properties={"cpu": 2, "memory": 4, "storage": 100})
8. langchain.Pipeline.remove_agent(pipeline, agent)
9. langchain.Agent.add_property(akgente, "temoso", Nnete)
10. stackgen.Template.update_resource(template, "vm1", {"cpu": 4, "memory": 8, "storage": 200})

Pono ya pono

Mona ke pono e bonolo ea pipeline ea othomathike e sebelisang Chart.js:

{
  "type": "bar",
  "data": {
    "labels": ["Tšebeliso ea CPU", "Tšebeliso ea Memori", "Tšebeliso ea Polokelo"],
    "lintlha tsa boitsebiso": [
      {
        "label": "Threshold",
        "data": [80, 80, 80],
        "backgroundColor": "rgba(255, 99, 132, 0.2)",
        "borderColor": "rgba(255, 99, 132, 1)",
        "borderWidth": 1
      },
      {
        "label": "Ha e le hantle",
        "data": [70, 70, 70],
        "backgroundColor": "rgba(54, 162, 235, 0.2)",
        "borderColor": "rgba(54, 162, 235, 1)",
        "borderWidth": 1
      }
    ]
  },
  "likgetho": {
    "sehlooho": {
      "bontša": 'nete,
      "text": "Automation Pipeline"
    },
    "makala": {
      "yAxes": [
        {
          "bontša": 'nete,
          "li-ticks": {
            "beginAtZero": 'nete
          }
        }
      ]
    }
  }
}

Pono ena e bonts'a ts'ebeliso ea 'nete ea CPU, memori, le polokelo ha e bapisoa le litekanyetso tsa moeli. Lipeipi tsa othomathike li ka sebelisa datha ena ho bona liphoso le ho nka mehato ea ho lokisa.

Qetello

Sebopeho sa motheo sa ZeroOps se nang le baemeli ba AI le LangChain ke mokhoa oa phetoho oa tsamaiso ea mehaho e felisang tlhokahalo ea ho hlophisa le ho ngola. Ka ho sebelisa lisebelisoa tsa AI le li-automation, mekhatlo e ka fihlela maemo a sa lebelloang a ts'ebetso, scalability le ts'epahalo. Ka StackGen le OpsVerse, bahlahisi ba ka potlakisa automation e tsamaisoang ke AI bakeng sa boenjiniere le DevOps workflows. Ka ho latela mokhoa oa mohato ka mohato o hlalositsoeng sehloohong sena, bahlahisi ba ka kenya tšebetsong ZeroOps ka li-agent tsa LangChain le AI ho theha phala e kopaneng ea othomathike e hlokomelang bophelo bo botle ba lits'ebeletso, e lemohang liphoso, 'me e nka mehato ea ho lokisa ho netefatsa ts'ebetso e nepahetseng.