ZeroOps: Faʻaaogaina le Agentic AI mo le Faʻatonuina o Polokalama Faʻatonu ma le DevOps Modernization | B4N1

ZeroOps: Faʻaaogaina le Agentic AI mo le Faʻatonuina o Polokalama Faʻatonu ma le DevOps Modernization

8 months ago · b4n1 Read time: 5 min

ZeroOps: Faʻaaogaina le Agentic AI mo le Faʻatonuina o Polokalama Faʻatonu ma le DevOps Modernization

Fa'atomuaga

I le televave o le atina'eina o masini komepiuta i aso nei, o le mana'oga mo le lelei ma le fa'aogaina otometi faiga e le'i sili atu ona mamafa. O le auala masani i DevOps, lea e faʻalagolago tele i le faʻaogaina o tusi lesona ma tusitusiga, e le o toe lava e faʻafetaui ai manaʻoga o le atinaʻeina o polokalama faʻaonapo nei. O le mea lea e sau ai ZeroOps - o se faiga faʻafouina lea e faʻaogaina ai le AI e faʻaogaina le faʻaogaina o masini komepiuta ma le faʻafouina o DevOps.

I totonu o lenei tusiga, o le a matou suʻesuʻeina le fesoʻotaʻiga o sui AI, mataʻituina le atamai, ma le masini i le DevOps modernization, faʻatasi ai ma le taulaʻi i le faʻatinoina o mataupu faavae ZeroOps e faʻaaoga ai LangChain ma DSPy. O le a matou suʻesuʻeina vaega faʻatino o le faʻatinoina o ZeroOps, e aofia ai faʻataʻitaʻiga faʻataʻitaʻiga ma lisi o faʻatonuga, faʻapea foʻi ma le tuʻuina atu o se faʻaaliga o aoga o lenei auala.

O le a le ZeroOps?

ZeroOps o se faʻataʻitaʻiga e faʻamoemoe e faʻaumatia le manaʻomia mo le faʻaogaina o tusi lesona i le faʻaogaina o polokalama ma faiga DevOps. E ala i le fa'aogaina o sui ole AI, ZeroOps e mafai ai ona fa'aautomatika le faia o fa'ai'uga, fa'aauau le mata'ituina, ma fa'ata'ita'i taimi tonu o paipa fa'apipi'i polokalame. O lenei faiga ua mamanuina e faʻaitiitia ai le lavelave ma le lamatiaga e fesoʻotaʻi ma faiga masani a DevOps, aʻo faʻaleleia le saoasaoa ma le faʻamaoni o le faʻaogaina o polokalama.

Le Matafaioi a AI Agents i ZeroOps

E taua tele le sao o sui AI i ZeroOps e ala i le tuʻuina atu o le mataʻituina ma le faʻaogaina o masini. E mafai e nei sooupu ona suʻeina faʻamaumauga mai punaoa eseese, e aofia ai faʻamaumauga o talosaga, fua faʻatinoga, ma faʻamatalaga a tagata faʻaoga, e iloa ai mamanu ma faʻalavelave. Faʻavae i luga o lenei auʻiliʻiliga, e mafai e le sui sooupu a le AI ona faia ni faʻaiuga faʻapitoa e uiga i le faʻaogaina o polokalama, e pei o le fuafuaina o le fuafuaga sili ona lelei o le faʻaogaina, faʻamaonia o faʻafitauli e ono tupu, ma le fautuaina o gaioiga faʻasaʻo.

LangChain ma DSPy: Fa'agaoioi ZeroOps

LangChain ma DSPy o ni taʻiala taʻutaʻua e lua e mafai ai ona atinaʻe le AI-powered agents mo ZeroOps. LangChain o se faletusi Python lea e tuʻuina atu ai se seti o meafaigaluega mo le fausiaina o faʻamatalaga AI sui, aʻo DSPy o se faʻavae Rust-faʻavae e mafai ai ona atinaʻe le faʻaogaina o faʻamatalaga AI.

I lenei tusiga, o le a tatou taulai atu i le faʻaaogaina o LangChain ma DSPy e faʻatino ai mataupu faavae ZeroOps. O le a matou tuʻuina atu faʻataʻitaʻiga faʻataʻitaʻiga ma lisi o faʻatonuga e faʻaalia ai itu aoga o le faʻatinoina o ZeroOps faʻaogaina nei faʻavae.

Faʻatinoina ZeroOps ma LangChain ma DSPy

Ina ia faʻatinoina ZeroOps faʻaaoga LangChain ma DSPy, o le a matou mulimulitaʻi i laʻasaga taʻitasi:

  1. Aoina o Fa'amatalaga: Aoina fa'amaumauga mai fa'apogai eseese, e aofia ai fa'amaumauga o talosaga, fua fa'atinoga, ma fa'amatalaga a tagata fa'aoga.
  2. Su'esu'ega o Fa'amatalaga: Iloilo fa'amaumauga na aoina e fa'aaoga ai sui fa'amalosi AI e iloa ai mamanu ma fa'aletonu.
  3. Fa'ai'uga: Fa'aaogā fa'amatalaga na maua mai su'esu'ega fa'amaumauga e fai ai fa'ai'uga fa'apitoa e uiga i le fa'aogaina o polokalame.
  4. Automation: Fa'autometi le fa'aogaina o polokalame fa'atatau i fa'ai'uga na faia e le sui sooupu AI.

O se faʻataʻitaʻiga faʻailoga faigofie e faʻaaoga ai LangChain ma DSPy e faʻatino ai ZeroOps:

faaulufale mai le langchain
mai le dspy import Agent


sui = sooupu(
    igoa = "ZeroOps Agent",
    model="langchain/llama:1.3B",
    prompt="Fa'atonu polokalame i le siosiomaga gaosiga",
)

# Aoina faʻamatalaga mai punaoa eseese
fa'amatalaga = {
    "application_logs": ["log1", "log2", "log3"],
    "performance_metrics": {"cpu": 80, "memory": 90},
    "user_feedback": ["lelei", "negative", "neutral"],
}

# Iloilo faʻamaumauga na aoina
au'ili'ili = agent.analyse(fa'amatalaga)

# Fai fa'ai'uga fa'apitoa e uiga i le fa'aogaina o polokalame
fa'ai'uga = agent.decide(su'esu'ega)

# Fa'autometi le fa'aogaina o polokalame
deployment = agent.deploy(fa'ai'uga)

O lenei faʻataʻitaʻiga faʻataʻitaʻiga o loʻo faʻaalia ai le faʻaogaina o LangChain ma DSPy e faʻatino ai mataupu faavae ZeroOps. Ole sui ole AI e aoina faʻamatalaga mai punaoa eseese, suʻesuʻeina faʻamaumauga, faia faʻamatalaga faʻamaonia e uiga i le faʻaogaina o masini komepiuta, ma faʻautometi le faʻaogaina o le faʻaogaina.

Poloaiga/Snippets pito i luga 5-10 Fa'aaogaina

O le pito i luga 5-10 pito sili ona faʻaaogaina tulafono / snippets mo le faʻatinoina o ZeroOps faʻaaoga LangChain ma DSPy:

  1. langchain.Agent(igoa = "ZeroOps Agent", model = "langchain/llama:1.3B", prompt = "Faʻapipiʻi polokalame i le siosiomaga gaosiga")
  2. dspy.Agent(igoa = "ZeroOps Agent", model = "langchain / llama:1.3B", prompt = "Faʻapipiʻi polokalama i le siosiomaga gaosiga")
  3. data = {"application_logs": ["log1", "log2", "log3"], "performance_metrics": {"cpu": 80, "memory": 90}, "user_feedback": ["positive", "negative", "neutral"]}
  4. su'esu'ega = agent.analyse(data)
  5. fa'ai'uga = agent.decide(su'esu'ega)
  6. deployment = agent.deploy(fa'ai'uga)
  7. langchain.llama.LlamaModel.load("langchain/llama:1.3B")
  8. dspy.Agent.load("langchain/llama:1.3B")
  9. agent.train(data)
  10. agent.save("zeroops_agent.pkl")

Va'aiga

Ole fa'aaliga lea ole aoga ole ZeroOps ile fa'aogaina ole Chart.js:

{
  "type": "pa",
  "fa'amatalaga": {
    "labels": ["Fa'atonu Fa'atonu", "ZeroOps"],
    "fa'amaumauga": [
      {
        "label": "Taimi Fa'atino",
        "fa'amaumauga": [10, 2],
        "backgroundColor": ["rgba(255, 99, 132, 0.2)", "rgba(54, 162, 235, 0.2)"],
        "BorderColor": ["rgba(255, 99, 132, 1)", "rgba(54, 162, 235, 1)"],
        "BorderWidth": 1
      },
      {
        "label": "Tausaga o mea sese",
        "fa'amaumauga": [5, 1],
        "backgroundColor": ["rgba(255, 99, 132, 0.2)", "rgba(54, 162, 235, 0.2)"],
        "BorderColor": ["rgba(255, 99, 132, 1)", "rgba(54, 162, 235, 1)"],
        "BorderWidth": 1
      }
    ]
  },
  "filifiliga": {
    "igoa": {
      "fa'aaliga": moni,
      "text": "Faamanuiaga o ZeroOps"
    },
    "fua": {
      "yAxes": [
        {
          "fa'aaliga": moni,
          "scaleLabel": {
            "fa'aaliga": moni,
            "labelString": "Taua"
          }
        }
      ]
    }
  }
}

O lenei faʻaaliga faʻaalia o loʻo faʻaalia ai le aoga o ZeroOps, e aofia ai le faʻaitiitia o le taimi faʻapipiʻi ma le fua o mea sese.

Fa'ai'uga

O le ZeroOps o se faiga fou i le DevOps modernization lea e faʻaogaina ai le AI faʻapitoa e faʻatometi le faʻapipiʻiina o polokalama ma faʻaauau le tuʻufaʻatasia / tuʻuina atu (CI / CD) faʻaogaina o paipa. I le faʻaaogaina o le LangChain ma le DSPy, e mafai e le au atinaʻe ona faʻatinoina mataupu faavae ZeroOps ma maua ai faʻamanuiaga taua, e aofia ai le faʻaitiitia o le taimi faʻapipiʻi ma le fua o mea sese. Faatasi ai ma le faʻateleina o le manaʻoga mo le faʻaogaina lelei ma le faʻaogaina o masini komepiuta, ua sauni ZeroOps e avea ma tagata taʻalo autu i le laufanua DevOps.


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