** Gina Tsarin Software Mai jurewa tare da AI-Powered DevOps Automation**

** Gabatarwa ***

A cikin shimfidar wuri mai sauri na dijital na yau, tsarin software yana ƙara rikitarwa da haɗin kai, yana sa su zama masu rauni ga gazawa da raguwar lokaci. Don rage waɗannan hatsarori, ƙungiyoyi suna juyawa zuwa keɓaɓɓiyar DevOps ta AI don gina tsarin software mai juriya wanda zai iya dacewa da canjin yanayi da rage tasirin fita. A cikin wannan labarin, za mu bincika manufar dabarun ZeroOps da kuma yadda Kiro AI-powered agents da LangChain za a iya amfani da su don haɓaka aiki da DevOps, yin amfani da ƙayyadaddun kayan aikin software da yanke shawara na AI.

** Menene ZeroOps?**

ZeroOps dabara ce ta DevOps wacce ke nufin kawar da buƙatar sa hannun ɗan adam a cikin turawa da sarrafa tsarin software. Ana samun wannan ta hanyar amfani da kayan aikin sarrafa kansa da ke aiki da AI wanda zai iya ganowa, tantancewa, da warware batutuwa ba tare da sa hannun ɗan adam ba. ZeroOps yana dogara ne akan ka'idodin ci gaba da haɗin kai da ci gaba da ƙaddamarwa (CI / CD), inda aka gina canje-canjen lambar ta atomatik, gwadawa, da kuma tura zuwa yanayin samarwa.

** Ma'aikatan Kiro AI-Powered**

Kiro wakili ne mai ƙarfin AI wanda za'a iya amfani dashi don sarrafa ayyuka daban-daban na DevOps, kamar saka idanu, shiga, da amsawar lamarin. Kiro yana amfani da algorithms koyan na'ura don nazarin bayanan tsarin da kuma tsinkayar yuwuwar al'amura kafin su faru. Wannan yana ba da damar ɗaukar matakan da suka dace don hana fita da kuma rage lokacin raguwa.

LangChain

LangChain ɗakin karatu ne na Python wanda ke ba da tsari don gina aikace-aikacen AI na tattaunawa. Ana iya amfani da shi don ƙirƙirar tatsuniyoyi, mataimakan murya, da sauran hanyoyin tattaunawa waɗanda za su iya yin hulɗa tare da masu amfani da sauran tsarin. LangChain yana da amfani musamman don gina tsarin ZeroOps, kamar yadda za'a iya amfani dashi don ƙirƙirar hanyoyin tattaunawa wanda zai iya ba da ra'ayi na ainihi da jagora ga masu haɓakawa da masu aiki.

** Aiwatar da ZeroOps tare da Kiro da LangChain ***

Don aiwatar da ZeroOps tare da Kiro da LangChain, za mu buƙaci bin waɗannan matakan:

1. Kafa Kiro: Shigar Kiro akan na'urarka sannan ka saita shi don saka idanu akan logs da metrics na aikace-aikacenka.
2. ** Ƙirƙirar ƙirar LangChain ***: Yi amfani da LangChain don ƙirƙirar haɗin tattaunawa wanda zai iya hulɗa tare da Kiro kuma ya ba da ra'ayi na ainihi da jagora ga masu haɓakawa da masu aiki.
3. ** Haɗa Kiro tare da LangChain ***: Yi amfani da API na LangChain don haɗa Kiro tare da yanayin tattaunawar ku.
4. ** Sanya don samarwa ***: Sanya tsarin ZeroOps don samarwa da gwada aikin sa.

** Misalin Koda ***

Ga misali mai sauƙi na yadda zaku iya amfani da Kiro da LangChain don sarrafa aikin DevOps: `` Python shigo da kiro daga shigo da langchain LLMS

kiro_agent = kiro.Agent()

Ƙirƙiri LangChain LLMS

LLMS = LLMS model = "davinci", zafin jiki = 0.7, max_tokens=2048, daina =["\n", "\n\n"], )

Ƙayyade aiki don sarrafa aikin DevOps

def automate_task(): # Yi amfani da Kiro don saka idanu kan rajistan ayyukan da awo logs = kiro_agent.get_logs() awo = kiro_agent.get_metrics()

# Yi amfani da LangChain don nazarin rajistan ayyukan da awo
analysis = lms.run(
    input={"logs": logs, "metrics": metrics},
    aiki = "nazari",
)

# Dauki mataki bisa bincike
idan bincike["sakamako"] == "fitilar":
    # A dauki matakin gyara
    kiro_agent.take_aiki()

Gudanar da aikin

automate_task()

** Manyan Dokoki 5-10 da Akafi Amfani da su/Snippets**

Anan akwai wasu umarni da snippets da aka fi amfani da su don Kiro da LangChain:

1. **Kiro**: `kiro_agent.get_logs()`: Samo log log daga Kiro.
2. **Kiro**: `kiro_agent.get_metrics()`: Sami ma'aunin aikace-aikace daga Kiro.
3. **LangChain**: `llms.run(input={"logs": logs, "metrics": metrics}, task="analyze")`: Yi nazarin rajistan ayyukan da awo ta amfani da LangChain.
4. **Kiro**: `kiro_agent.take_action()`: A dauki matakin gyara bisa bincike.
5. **LangChain**: `llms.generate_response(input={"mai amfani": "sannu"}, task="response")': Samar da amsa ga shigar mai amfani.
6. **Kiro**: `kiro_agent.get_status()`: Samu matsayin aikace-aikacen.
7. **LangChain**: `llms.run(input={"logs": logs, "metrics": metrics}, task="predict")': Yi tsinkaya yuwuwar al'amurra ta amfani da LangChain.
8. **Kiro**: `kiro_agent.set_config(config={"log_level": "debug"})': Saita tsari don Kiro.
9. **LangChain**: `llms.run(input={"user": "help"), task="help")': Bayar da taimako ga mai amfani.
10. **Kiro**: `kiro_agent.get_logs(limit=100)`: Samo lokuttan aikace-aikace guda 100 na karshe daga Kiro.

**Kallon gani**

Anan ga sauƙin gani na tsarin ZeroOps ta amfani da Chart.js:
Json
{
  "type": "bar",
  "data": {
    "labels": ["Saduwa", "Analysis", "Aiki"],
    "datasets": [
      {
        "label": "Lokaci",
        "bayanai": [10, 20, 30],
        "Bayan launi": ["#FF6384", "#36A2EB", "#FFCE56"]
      }
    ]
  },
  "zabuka": {
    "take": {
      "nuna": gaskiya,
      "text": "Tsarin ZeroOps"
    },
    "ma'auni": {
      "yAxes": [
        {
          "zama": {
            "beginAtZero": gaskiya
          }
        }
      ]
    }
  }
}

Wannan hangen nesa yana nuna lokacin da aka ɗauka don kowane mataki na tsarin ZeroOps, daga sa ido zuwa aiki.

Kammalawa

A cikin wannan labarin, mun binciko manufar dabarun ZeroOps da yadda Kiro AI-powered agents da LangChain za a iya amfani da su don haɓaka aikin DevOps da ke sarrafa kansa, yin amfani da ƙayyadaddun kayan aikin software da yanke shawara na AI. Mun kuma bayar da misali mai sauƙi na lamba da hangen nesa na tsarin ZeroOps. Ta hanyar aiwatar da ZeroOps, ƙungiyoyi za su iya gina tsarin software mai juriya wanda zai iya daidaitawa da canza yanayin yanayi da rage tasirin fita.