Mepụta onye nnọchi anya Kiro | B4N1

Mepụta onye nnọchi anya Kiro

8 months ago · b4n1 Tiempo de lectura: 5 min

** ZeroOps DevOps mgbanwe ya na ndị nnọchi anya AI na-arụ ọrụ na orchestration.

** Okwu mmalite**

Mgbanwe nke DevOps agbanweela ụzọ e si emepụta ngwanro, ebuga na idobe ya. Agbanyeghị, ụzọ DevOps ọdịnala ka chọrọ nnukwu mbọ aka, nka na oge. Mpụta nke ndị ọrụ AI na-akwado AI na ngwa orchestration emeela ka o kwe omume ịmegharị usoro DevOps, na-eduga n'echiche nke ZeroOps. N'isiokwu a, anyị ga-enyocha mmejuputa nke AI-powered DevOps automation site na iji Kiro agents na orchestration tools dị ka LangChain, na-elekwasị anya n'ịgbanwe omume DevOps na ZeroOps.

Gịnị bụ ZeroOps?

ZeroOps bụ echiche na-apụta na DevOps nke na-achọ iwepụ mkpa ọ dị maka ntinye aka na mmepe na usoro mbugharị. Site n'ịkwalite AI na mmụta igwe, ZeroOps na-eme ka ntinye aka na-akpaghị aka, scaling, na nlekota nke ngwa, na-ebelata ihe ize ndụ nke njehie mmadụ na ịbawanye arụmọrụ. Ebumnuche kachasị nke ZeroOps bụ ịmepụta usoro ọgwụgwọ onwe onye, ​​nke na-eme ka ọ dịkwuo mma, na nke na-eme ka ọ dị elu nke chọrọ obere ntinye aka mmadụ.

** Ndị ọrụ AI-ike: Igodo nke ZeroOps ***

Ndị ọrụ AI na-akwado AI bụ mmemme ngwanrọ na-eji algọridim mmụta igwe na-arụ ọrụ na-eme mkpebi. N'ihe gbasara DevOps, ndị ọrụ AI nwere ike iji nyochaa arụmọrụ ngwa, chọpụta ihe na-adịghị mma, ma mee ihe ndozi. Ndị ọrụ Kiro bụ ụdị onye na-akwado AI nke enwere ike iji maka akpaaka DevOps.

** Ndị nnọchi anya Kiro ***

Ndị ọrụ Kiro bụ ụdị onye na-akwado AI nke enwere ike iji maka akpaaka DevOps. Emebere ha ka ha jiri ngwa orchestration rụọ ọrụ dị ka LangChain iji rụọ ọrụ nkenye, scaling, na nlekota ngwa. Enwere ike ịzụ ndị ọrụ Kiro na data akụkọ ihe mere eme ka ha mụta ụkpụrụ na ihe adịghị mma, na-enyere ha aka ime mkpebi ziri ezi ma mee ihe mgbazi.

** LangChain: Ngwá ọrụ Orchestration ***

LangChain bụ ngwá ọrụ nhazi nke na-enyere aka ịmegharị usoro DevOps site na iji ndị ọrụ AI kwadoro dịka Kiro. Ọ na-enye usoro maka iwulite na ibuga ndị ọrụ AI na-arụ ọrụ nke nwere ike ịmegharị ọrụ dị ka ntinye, nhazi, na nlekota oru. LangChain na-akwado ọtụtụ asụsụ mmemme, gụnyere Python, Rust, na Go.

** Iji Kiro na LangChain na-eji AI-Powered DevOps Automation

Iji mejuputa automation DevOps nke AI kwadoro site na iji Kiro na LangChain, anyị kwesịrị ịgbaso usoro ndị a:

  1. ** Wụnye Kiro na LangChain ***: Wụnye Kiro na LangChain site na iji pip ma ọ bụ njikwa ngwugwu masịrị gị.
  2. ** Mepụta onye nnọchi anya Kiro ***: Mepụta onye nnọchi anya Kiro nke enwere ike iji maka akpaaka DevOps. Nke a gụnyere ịkọwapụta omume onye ọrụ, dị ka nlekota oru ngwa na ịchọpụta ihe adịghị mma.
  3. ** Zụlite onye nnọchi anya Kiro ***: Zụlite onye nnọchi anya Kiro na data akụkọ ihe mere eme iji mụta ụkpụrụ na ihe adịghị mma. Nke a na-enyere onye ọrụ ahụ aka ime mkpebi ziri ezi ma mee ihe mgbazi.
  4. ** Jikọọ na LangChain ***: Jikọta onye ọrụ Kiro na LangChain iji megharịa usoro DevOps. Nke a gụnyere ịkọwapụta usoro nhazi ọrụ na ịhazi onye ọrụ ka ọ rụọ ọrụ.

** Koodu Ọmụmaatụ: Ịmepụta onye nnọchi anya Kiro ***

Nke a bụ ihe atụ ngọngọ koodu na Python nke na-emepụta onye nnọchi anya Kiro: "Python mbubata kiro si langchain mbubata LLMS

onye nnọchi anya = kiro.Agent( aha = "my_agent", omume={ "nyocha_arụmọrụ": { "ọrụ": "monitor_performance", "args": ["app_name", "threshold"], }, "chọpụta_anomaly": { "ọrụ": "chọpụta_anomaly", "args": ["app_name", "threshold"], }, }, )

Zụlite onye nnọchi anya na data akụkọ ihe mere eme

agent.train( data =[ {"app_name": "my_app", "arụmọrụ": 90}, {"app_name": "my_app", "arụmọrụ": 80}, {"app_name": "my_app", "arụmọrụ": 70}, ], ọnụ ọgụgụ = 85, )

Jikọọ na LangChain

llms = LLMS onye nnọchi anya = onye nnọchi anya, usoro ọrụ ={ "nyocha_arụmọrụ": { "ọrụ": "monitor_performance", "args": ["my_app", 85], }, "chọpụta_anomaly": { "ọrụ": "chọpụta_anomaly", "args": ["my_app", 85], }, }, )

Mepụta usoro ọrụ

llms.execute() `` Koodu a na-emepụta onye nnọchi anya Kiro na-enyocha arụmọrụ ngwa yana chọpụta ihe adịghị mma. Ọ na-azụkwa onye nnọchi anya na data akụkọ ihe mere eme wee jikọta ya na LangChain iji megharịa usoro DevOps.

** Iwu 5-10 Kachasị Eji mee ihe

Nke a bụ iwu/snippets 5-10 kacha eji eme ihe maka Kiro na LangChain:

  1. Ịmepụta onye nnọchi anya Kiro: kiro.Agent(name="my_agent", behavior={"monitor_performance": {"function": "monitor_performance", "args": ["app_name", "threshold"]}})
  2. ** Ọzụzụ Agent Kiro **: `agent.train(data=[{"app_name": "my_app", "arụmọrụ": 90}], threshold=85)'
  3. Ijikọ na LangChain: llms = LLMS(agent=agent, workflow={"monitor_performance": {"ọrụ":"monitor_performance", "args": ["my_app", 85]}})
  4. ** Na-eme usoro ọrụ **: llms.execute()
  5. ** Ịkọwapụta usoro ọrụ nhazi nke Orchestration **: `workflow = {" nlekota oru_performance": {"ọrụ": " nlekota oru_performance", "args": ["my_app", 85]}'
  6. ** Ịhazi onye nnọchi anya ka ọ rụọ ọrụ **: `agent.configure({"ọrụ": "execute_task", "args": ["task_name"]})'
  7. ** Arụmọrụ Ngwa nlekota **: agent.monitor_performance(app_name="my_app", threshold=85)
  8. ** Ịchọpụta Anomalies **: agent.detect_anomaly(app_name="my_app", threshold=85)
  9. ** Nweta ọnọdụ onye nnọchi anya **: agent. status()
  10. ** Ịnweta ndekọ ndekọ ụlọ ọrụ **: 'agent.logs()'

** Nlegharị anya ***

Nke a bụ nleba anya nke pipeline DevOps na-eji Chart.js: Json { "ụdị": "ogwe", "data": { "labels": ["Nyochaa arụmọrụ", "Chọpụta Anomaly", "Mee Ọrụ"], "datasets": [ { "label": "Onye ọrụ", "data": [90, 80, 70], "backgroundColor": "rgba(255, 99, 132, 0.2)", "BorderColor": "rgba(255, 99, 132, 1)", "BorderWiidth": 1 } ] }, "Nhọrọ": { " aha": { "ngosi": eziokwu, "ederede": "Pipeline DevOps" }, "ọnụego": { "yAxes": [ { "akara aka": { "beginAtZero": eziokwu } } ] } } } `` Ọhụụ a na-egosi pipeline DevOps nwere usoro atọ: Nyochaa arụmọrụ, Chọpụta Anomaly, na rụọ ọrụ. A na-egosipụta arụmọrụ onye ọrụ ahụ dị ka chaatị mmanya.

Mkpebi

N'isiokwu a, anyị nyochara mmejuputa nke AI-powered DevOps automation site na iji Kiro agents na orchestration tools dị ka LangChain. Anyị mepụtara onye nnọchi anya Kiro nke na-enyocha arụmọrụ ngwa wee chọpụta ihe adịghị mma, wee jikọta ya na LangChain iji megharịa usoro DevOps. Anyị nyekwara ihe ngosi nke pipeline DevOps site na iji Chart.js. Ebumnuche kachasị nke ZeroOps bụ ịmepụta usoro ọgwụgwọ onwe onye, ​​nke na-eme ka ọ dịkwuo mma, na nke na-eme ka ọ dị elu nke chọrọ obere ntinye aka mmadụ. Site n'iji AI na mmụta igwe, anyị nwere ike imezu ebumnuche a wee gbanwee omume DevOps ka ọ bụrụ ZeroOps.


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