** Nyochaa ihe mberede na-akpaghị aka na ndị ọrụ AI-Powerered na Ngwa DevOps ***

** Okwu mmalite**

Na gburugburu igwe ojii nke taa, nyocha na mkpebi ihe merenụ bụ akụkụ dị oke mkpa nke omume DevOps. Agbanyeghị, nyocha ihe omume nke akwụkwọ ntuziaka nwere ike na-ewe oge, na-enwekarị mmejọ ma na-achọkarị nka nka. Iji dozie ihe ịma aka ndị a, anyị ga-enyocha nchikota nke ndị ọrụ Kiro AI kwadoro na AWS DevOps Agent na DSPy maka nyocha na mkpebi ihe omume akpaaka.

** Ịghọta ihe ndị a ***

Tupu ịbanye n'ime mwekota, ka anyị ghọta ihe mejupụtara ya:

• ** Ndị ọrụ Kiro AI-Powered ***: Kiro bụ ikpo okwu AI na-enyere aka ịmepụta ndị nnọchi anya maka akpaaka ọrụ na arụ ọrụ. Enwere ike ịzụ ndị ọrụ ndị a na isi mmalite data dị iche iche, gụnyere ndekọ, metrik, na faịlụ nhazi. ** AWS DevOps Agent ***: AWS DevOps Agent bụ ngwá ọrụ na-enyere aka akpaaka nke ọrụ na workflows na AWS. Ọ na-enye ụzọ na-agbanwe agbanwe na nke nwere ike ịmegharị ọrụ, dị ka ibuga ngwa, nleba anya arụmọrụ, na nsogbu nsogbu. ** DSPy ***: DSPy bụ ọba akwụkwọ Python nke na-enye ụzọ dị mfe ma dị mma iji soro DSPy na-emekọrịta ihe, ikpo okwu data nke igwe ojii. DSPy na-enyere aka ịmepụta pipeline data omenala, nhazi data, na nhụta data.

Ntụle njikọta

Njikọ nke ndị ọrụ Kiro AI kwadoro na AWS DevOps Agent na DSPy gụnyere usoro ndị a:

1. ** Nchịkọta Data ***: AWS DevOps Agent na-anakọta data sitere na isi mmalite dị iche iche, dị ka ndekọ, metrics, na faịlụ nhazi.
2. ** Nhazi data ***: A na-ahazi data anakọtara site na iji DSPy, nke na-enyere aka ịmepụta pipeline data omenala, nhazi data, na nhụta data.
3. ** Ọzụzụ Ndị nnọchite ***: A na-eji data emeziri iji zụọ onye na-ahụ maka ikike Kiro AI, nke na-enyere onye ọrụ ahụ aka ịmụta ụkpụrụ na ihe adịghị mma na data ahụ.
4. ** Nchọpụta ihe mberede ***: Mgbe ihe omume mere, onye ọrụ Kiro AI na-eme ka ọ nyochaa ihe ahụ merenụ site na iji ụdị na data a zụrụ azụ.
5. ** Mkpebi ***: Onye nnọchi anya na-enye ndụmọdụ maka mkpebi ihe merenụ, nke enwere ike igbu ya site na iji AWS DevOps Agent.

** Ihe atụ koodu ***

Nke a bụ ihe atụ koodu dị mfe nke na-egosipụta njikọ nke ndị ọrụ Kiro AI kwadoro na AWS DevOps Agent na DSPy: "Python mbubata os mbubata json si kiros mbubata Agent si dspy mbubata DSPy

aws_config = json.load (meghere ('aws_config.json'))

Mepụta onye nnọchi anya Kiro AI

onye nnọchi anya = onye nnọchi anya ( aha ='incident_investigation', nkọwa ='Nnyocha na mkpebi ihe merenụ akpaghị aka', ụdị ='incident_investigation_model' )

Mepụta ihe atụ DSPy

dspy = DSPy onye ọbịa = 'localhost', ọdụ ụgbọ mmiri=8080, aha njirimara = 'admin', paswọọdụ = 'password' )

Kọwaa pipeline data site na iji DSPy

pipeline = dspy.pipeline ( aha ='incident_investigation_pipeline', nkọwa ='Pipeline nchọpụta ihe merenụ akpaghị aka', Source=[' ndekọ', 'metrics', 'nhazi'] )

Zụọ ndị nnọchi anya Kiro AI na-eji pipeline data

agent.train( ọkpọkọ = ọkpọkọ, data=dspy.data( aha ='incident_investigation_data', nkọwa ='Data nchọpụta ihe merenụ akpaghị aka' ) )

kpalite onye ọrụ Kiro AI nyere ikike inyocha ihe merenụ

ihe mere = { ' id': 'INC-12345', 'nkọwa': 'Oge nkwụsị ngwa' } agent.trigger( Event = ihe omume, data=dspy.data( aha ='incident_investigation_data', nkọwa ='Data nchọpụta ihe merenụ akpaghị aka' ) )

Nweta ndụmọdụ onye ọrụ maka mkpebi ihe merenụ

ndụmọdụ = agent.recommendations( Event = ihe omume, data=dspy.data( aha ='incident_investigation_data', nkọwa ='Data nchọpụta ihe merenụ akpaghị aka' ) )

Mezue ndụmọdụ onye ọrụ site na iji AWS DevOps Agent

aws_config['nkwado'] = ntụnye aws_config['incident_id'] = ihe mere ['id'] aws_config['nkọwa'] = ihe mere ['nkọwa'] `` ** Iwu 5-10 Kachasị Eji mee ihe

Nke a bụ iwu/snippets 5-10 kacha eji eme ihe maka teknụzụ a:

1. Kiro AI-Powered Agent Creation: "Python onye nnọchi anya = onye nnọchi anya ( aha ='incident_investigation', nkọwa ='Nnyocha na mkpebi ihe merenụ akpaghị aka', ụdị ='incident_investigation_model' ) ``
2. ** DSPy Ihe Nkịtị Creation ***: "Python dspy = DSPy onye ọbịa = 'localhost', ọdụ ụgbọ mmiri=8080, aha njirimara = 'admin', paswọọdụ = 'password' ) ``
3. ** Nkọwa pipeline data ***: "Python pipeline = dspy.pipeline ( aha ='incident_investigation_pipeline', nkọwa ='Pipeline nchọpụta ihe merenụ akpaghị aka', Source=[' ndekọ', 'metrics', 'nhazi'] ) ``
4. ** Kiro AI-Powered Agent Training*: "Python agent.train( ọkpọkọ = ọkpọkọ, data=dspy.data( aha ='incident_investigation_data', nkọwa ='Data nchọpụta ihe merenụ akpaghị aka' ) ) ``
5. ** Kiro AI-Powerered Agent na-akpalite ***: "Python agent.trigger( Event = ihe omume, data=dspy.data( aha ='incident_investigation_data', nkọwa ='Data nchọpụta ihe merenụ akpaghị aka' ) ) ``
6. ** Nweghachite ndụmọdụ ndị nnọchi anya ***: "Python ndụmọdụ = agent.recommendations( Event = ihe omume, data=dspy.data( aha ='incident_investigation_data', nkọwa ='Data nchọpụta ihe merenụ akpaghị aka' ) ) ``
7. ** AWS DevOps Nhazi nhazi ihe nrụnye ***: "Python aws_config = json.load (meghere ('aws_config.json')) ``
8. ** Mmezu AWS DevOps Onye nnọchite anya ***: "Python aws_config['nkwado'] = ntụnye aws_config['incident_id'] = ihe mere ['id'] aws_config['nkọwa'] = ihe mere ['nkọwa'] ``
9. ** Mweghachi Data DSPy ***: "Python data = dspy.data ( aha ='incident_investigation_data', nkọwa ='Data nchọpụta ihe merenụ akpaghị aka' ) ``
10. ** Kiro AI-Powered Agent Model Loading ***: "Python nlereanya = agent.model ( aha ='incident_investigation_model', nkọwa ='Ụdị nyocha ihe merenụ akpaghị aka' ) ``

** Nlegharị anya ***

Nke a bụ ọhụhụ nke mwekota site na iji Chart.js: Json { "ụdị": "ogwe", "data": { "labels": ["Nchịkọta data", "Nhazi data", "Ọzụzụ ndị nnọchite anya", "Nnyocha ihe mberede", "Mkpebi"], "datasets": [ { "label": "Oge (sekọnd)", "data": [10, 20, 30, 40, 50], "backgroundAgba": [ "rgba(255, 99, 132, 0.2)", "rgba (54, 162, 235, 0.2)", "rgba (255, 206, 86, 0.2)", "rgba (75, 192, 192, 0.2)", "rgba (153, 102, 255, 0.2)" ], "BorderAgba": [ "rgba (255, 99, 132, 1)", "rgba (54, 162, 235, 1)", "rgba (255, 206, 86, 1)", "rgba (75, 192, 192, 1)", "rgba (153, 102, 255, 1)" ], "BorderWiidth": 1 } ] }, "Nhọrọ": { "ọnụego": { "yAxes": [ { "akara aka": { "beginAtZero": eziokwu } } ] } } } `` Ọhụụ a na-egosi oge ewepụtara maka nzọụkwụ ọ bụla na usoro njikọta.

Mkpebi

N'ime edemede a, anyị nyochara njikọ nke ndị ọrụ Kiro AI kwadoro na AWS DevOps Agent na DSPy maka nyocha ihe omume akpaaka na mkpebi na gburugburu igwe ojii. Anyị nyere nkọwa zuru ezu nke ihe ndị dị na ya, usoro ntinye aka, na ihe atụ koodu dị mfe nke na-egosi njikọ. Anyị tinyekwara nhụta nke njikọta site na iji Chart.js yana ndepụta nke 5-10 kachasị iwu / snippets kacha eji maka teknụzụ a.