ZeroOps Infrastructure Orchestration ndi AI Agents ndi LangChain

Chiyambi

M'mawonekedwe omwe akukula mwachangu aukadaulo wamapulogalamu ndi ma DevOps, kufunikira kowongolera bwino komanso kowopsa kwa zomangamanga kwakula kwambiri. Njira zachikhalidwe zoyendetsera zomangamanga nthawi zambiri zimadalira kasinthidwe kamanja ndi zolemba, zomwe zingayambitse zolakwika, zosagwirizana, komanso zolepheretsa. Kuti athane ndi zovuta izi, pakhala pali malingaliro atsopano: Kuyimba kwa zomangamanga za ZeroOps ndi othandizira a AI ndi LangChain.

ZeroOps ndi chiyani?

ZeroOps ndi njira yosinthira kasamalidwe kazinthu zomwe zimathandizira othandizira a AI ndi makina odzichitira kuti athetse kufunikira kwa kasinthidwe kamanja ndi zolemba. Pogwiritsa ntchito makina onse a zomangamanga, kuyambira pakuyimitsidwa mpaka kukulitsa ndi kukonza, ZeroOps imathandizira mabungwe kuti akwaniritse magwiridwe antchito, osasunthika, komanso odalirika.

LangChain: AI-Powered Automation Framework

LangChain ndi njira yotseguka yomwe imathandizira opanga kupanga ma AI-powered automation workflows pogwiritsa ntchito njira yosavuta, yodziwika bwino yopangira mapulogalamu. Popereka chidziwitso chapamwamba pazovuta za AI ndi automation, LangChain imapangitsa kuti zikhale zosavuta kupanga mapaipi apamwamba kwambiri omwe amatha kuyendetsa ngakhale malo ovuta kwambiri.

Ma AI Agents: Chinsinsi cha ZeroOps

Othandizira AI ndi zida zamapulogalamu zomwe zimagwiritsa ntchito kuphunzira pamakina ndi njira zina za AI kuti zisinthe ntchito ndikupanga zisankho. Pankhani ya ZeroOps, othandizira a AI amatenga gawo lofunikira pakuwunika thanzi la zomangamanga, kuzindikira zolakwika, ndikuchitapo kanthu kuti awonetsetse kuti zikuyenda bwino.

StackGen ndi OpsVerse: Kupititsa patsogolo AI-Driven Automation

StackGen ndi OpsVerse ndi zida ziwiri zatsopano zomwe zimafulumizitsa makina oyendetsedwa ndi AI a engineering ndi DevOps workflows. StackGen ndi chida chopangira ma code chomwe chimathandiza omanga kupanga ma tempuleti okhazikika pogwiritsa ntchito mawu osavuta, ofotokozera. OpsVerse, kumbali ina, ndi nsanja yomwe imapereka mawonekedwe ogwirizana oyang'anira malo angapo opangira zida ndikusintha kayendedwe ka ntchito.

Kukhazikitsa ZeroOps ndi LangChain ndi AI Agents

Kuti tigwiritse ntchito ZeroOps ndi LangChain ndi othandizira AI, titsatira njira imodzi ndi imodzi:

Khwerero 1: Tanthauzirani Ma templates a Infrastructure

Pogwiritsa ntchito StackGen, tidzafotokozera ma tempuleti omwe amafotokoza zakusintha komwe kukufunika. Izi ziphatikizanso makina enieni, ma network, malo osungira, ndi zina.

import stackgen


template = stackgen.Template(
    dzina="my_infrastructure",
    zothandizira=[
        stackgen.Resource(
            dzina = "vm1",
            mtundu = "vm",
            katundu={
                "cpu": 2,
                "chikumbutso": 4,
                "kusungira": 100
            }
        ),
        stackgen.Resource(
            dzina = "vm2",
            mtundu = "vm",
            katundu={
                "cpu": 4,
                "chikumbutso": 8,
                "kusungira": 200
            }
        )
    ]
)

# Pangani code ya zomangamanga
infrastructure_code = template.generate()

Gawo 2: Pangani ma AI Agents

Pogwiritsa ntchito LangChain, tipanga othandizira a AI omwe amatha kuyang'anira thanzi la zomangamanga, kuzindikira zolakwika, ndikuchitapo kanthu. Titanthauzira wothandizira wosavuta yemwe amayang'ana kagwiritsidwe ntchito ka CPU ndi zidziwitso ngati ipitilira malire ena.

import langchain

# Tanthauzirani wothandizira wa AI
wothandizira = langchain.Agent (
    dzina = "cpu_agent",
    mtundu = "cpu",
    katundu={
        "mzere": 80
    }
)

# Fotokozani malingaliro a wothandizira
def check_cpu_usage(vm):
    # Onani kugwiritsa ntchito CPU
    cpu_usage = vm.get_cpu_usage()
    ngati cpu_usage > agent.properties["threshold"]:
        # Chenjezo ngati kugwiritsidwa ntchito kwa CPU kupitilira malire
        bwererani "kugwiritsa ntchito CPU kupitilira malire"
    zina:
        # Bweretsani zopanda pake ngati kugwiritsidwa ntchito kwa CPU kuli pafupi
        bwerera Palibe

Khwerero 3: Phatikizani Ma AI Agents ndi Ma templates a Infrastructure

Tiphatikiza othandizira a AI ndi ma tempuleti a zomangamanga kuti apange mapaipi ogwirizana. Njirayi idzayang'anira thanzi la zomangamanga, kuzindikira zolakwika, ndikuchitapo kanthu kuti zitsimikizire kuti zikuyenda bwino.

import langchain

# Tanthauzirani payipi ya automation
pipeline = langchain.Pipeline(
    dzina = "my_pipeline",
    othandizira=[wothandizira],
    zithunzi=[chithunzi]
)

# Thamangani payipi ya automation
pipeline.run()

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

Nawa malamulo/zidutswa 5-10 zogwiritsidwa ntchito kwambiri kwa othandizira a LangChain ndi AI:

1. langchain.Agent(dzina="cpu_agent", type="cpu", properties={"threshold": 80})
2. stackgen.Template(dzina="my_infrastructure", resources=[...])
3. langchain.Pipeline(dzina="my_pipeline", agents=[wothandizira], ma templates=[template])
4. agent.run(check_cpu_usage(vm))
5. template.generate()
6. langchain.Agent.update_properties(wothandizira, {"threshold": 90})
7. stackgen.Resource(name="vm1", type="vm", properties={"cpu": 2, "memory": 4, "storage": 100})
8. langchain.Pipeline.remove_agent(paipi, wothandizira)
9. langchain.Agent.add_property(wothandizira, "chenjezo", Zoona)
10. stackgen.Template.update_resource(template, "vm1", {"cpu": 4, "memory": 8, "storage": 200})

**Kuwona **

Nayi chithunzithunzi chosavuta cha mapaipi odzipangira okha pogwiritsa ntchito Chart.js:

{
  "type": "bar",
  "data": {
    "labels": ["Kagwiritsidwe ka CPU", "Kagwiritsidwe ka Memory", "Storage Usage"],
    "ma dataset": [
      {
        "label": "Threshold",
        "Deta": [80, 80, 80],
        "backgroundColor": "rgba(255, 99, 132, 0.2)",
        "borderColor": "rgba(255, 99, 132, 1)",
        "BorderWidth": 1
      },
      {
        "label": "Zowona",
        "Deta": [70, 70, 70],
        "backgroundColor": "rgba(54, 162, 235, 0.2)",
        "borderColor": "rgba(54, 162, 235, 1)",
        "BorderWidth": 1
      }
    ]
  },
  "zosankha": {
    "mutu": {
      "kuwonetsa": zoona,
      "text": "Automation Pipeline"
    },
    "masikelo": {
      "yAxes": [
        {
          "kuwonetsa": zoona,
          "nkhupakupa": {
            "beginAtZero": zoona
          }
        }
      ]
    }
  }
}

Mawonedwe awa akuwonetsa CPU yeniyeni, kukumbukira, ndi kagwiritsidwe ntchito kakusungirako poyerekeza ndi zomwe zimayambira. Mapaipi odzipangira okha amatha kugwiritsa ntchito datayi kuti azindikire zolakwika ndikuchitapo kanthu.

Mapeto

Kuyimba zida za ZeroOps ndi othandizira a AI ndi LangChain ndi njira yosinthira kasamalidwe kazinthu zomwe zimachotsa kufunikira kwa kasinthidwe kamanja ndi zolemba. Pogwiritsa ntchito ma AI othandizira komanso ma automation, mabungwe amatha kuchita bwino kwambiri, kukhazikika, komanso kudalirika komwe sikunachitikepo. Ndi StackGen ndi OpsVerse, Madivelopa amatha kufulumizitsa makina oyendetsedwa ndi AI a engineering ndi DevOps workflows. Potsatira njira yomwe yafotokozedwa m'nkhaniyi, opanga angagwiritse ntchito ZeroOps ndi LangChain ndi AI othandizira kuti apange payipi yogwirizana yomwe imayang'anira thanzi la zomangamanga, kuzindikira zolakwika, ndikuchitapo kanthu kuti zitsimikizire kuti zikuyenda bwino.