ZeroOps DevOps Adaṣiṣẹ pẹlu AI-Iwakọ Orchestration ati StackGen | B4N1

ZeroOps DevOps Adaṣiṣẹ pẹlu AI-Iwakọ Orchestration ati StackGen

3 months ago · b4n1 Read time: 6 min

** Adaṣiṣẹ DevOps ZeroOps pẹlu AI-Iwakọ Orchestration ati StackGen ***

Ibere

Ni ala-ilẹ oni-nọmba iyara ti ode oni, awọn ẹgbẹ n wa awọn ọna imotuntun nigbagbogbo lati ṣe imudara awọn ilana DevOps wọn, imudara ṣiṣe, ati dinku eewu aṣiṣe eniyan. ZeroOps DevOps adaṣe jẹ ọna gige-eti ti o mu awọn irinṣẹ orchestration ti AI ṣiṣẹ lati ṣe adaṣe awọn iṣẹ ṣiṣe atunwi, ni idaniloju ifowosowopo ailopin laarin idagbasoke, awọn iṣẹ ṣiṣe, ati awọn ẹgbẹ aabo. Ninu nkan yii, a yoo lọ sinu agbaye ti adaṣe adaṣe ZeroOps DevOps, ni idojukọ lori imuse ti awọn irinṣẹ orchestration ti AI-ṣiṣẹ bii StackGen, LangChain, ati DSPy lati ṣe adaṣe adaṣe adaṣe, awoṣe irokeke, ati ibamu nigbagbogbo.

** Kini adaṣiṣẹ ZeroOps DevOps?**

Adaṣiṣẹ ZeroOps DevOps jẹ ọna rogbodiyan si DevOps ti o yọkuro iwulo fun ilowosi afọwọṣe ni awọn iṣẹ ṣiṣe atunwi. Nipa gbigbe awọn irinṣẹ orchestration ti AI ṣe, awọn ajo le ṣe adaṣe awọn iṣẹ ṣiṣe bii afẹyinti, imuṣiṣẹ, ati ibamu, ni idaniloju pe awọn amayederun ati awọn ohun elo wọn nigbagbogbo ni imudojuiwọn ati aabo. Ọna yii n fun awọn ẹgbẹ lọwọ lati dojukọ awọn iṣẹ-ṣiṣe giga-giga, gẹgẹbi ilana ati isọdọtun, lakoko ti awọn irinṣẹ orchestration ti AI ti n ṣakoso awọn iṣẹ-ṣiṣe ti ayeraye.

** Awọn Irinṣẹ Orchestration Dari AI**

Ninu àpilẹkọ yii, a yoo dojukọ awọn irinṣẹ orchestration ti AI-ṣiṣẹ mẹta: StackGen, LangChain, ati DSPy.

StackGen

StackGen jẹ orisun-ìmọ, ohun elo orchestration ti AI ti o ṣe iranlọwọ fun awọn ajo lati ṣe adaṣe imuṣiṣẹ ati iṣakoso ti awọn amayederun ati awọn ohun elo wọn. O nlo apapo ẹkọ ẹrọ ati sisẹ ede adayeba lati ṣe adaṣe awọn iṣẹ ṣiṣe bii afẹyinti, imuṣiṣẹ, ati ibamu.

LangChain

LangChain jẹ ohun elo orchestration ti AI ti o da lori Python ti o fun laaye awọn ajo lati ṣe adaṣe awọn iṣẹ ṣiṣe bii sisẹ data, ẹkọ ẹrọ, ati ṣiṣiṣẹ ede abinibi. O nlo apapọ ikẹkọ ẹrọ ati sisẹ ede adayeba lati ṣe adaṣe awọn iṣẹ ṣiṣe bii sisẹ data ati ikẹkọ ẹrọ.

DSPy

DSPy jẹ ohun elo orchestration ti AI ti o da lori Python ti o fun awọn ajo laaye lati ṣe adaṣe awọn iṣẹ ṣiṣe bii sisẹ data, ikẹkọ ẹrọ, ati ṣiṣiṣẹ ede abinibi. O nlo apapọ ikẹkọ ẹrọ ati sisẹ ede adayeba lati ṣe adaṣe awọn iṣẹ ṣiṣe bii sisẹ data ati ikẹkọ ẹrọ.

** Ṣiṣe adaṣe ZeroOps DevOps pẹlu StackGen ***

Ni apakan yii, a yoo ṣe afihan bi o ṣe le ṣe adaṣe ZeroOps DevOps ni lilo StackGen.

Awọn ibeere

  • Fi sori ẹrọ StackGen ni lilo aṣẹ atẹle: pip install stackgen
  • Ṣẹda iṣẹ akanṣe StackGen tuntun nipa lilo aṣẹ atẹle: stackgen init

Afẹyinti adaṣe adaṣe pẹlu StackGen

Lati ṣe adaṣe adaṣe adaṣe pẹlu StackGen, a yoo lo bulọọki koodu atẹle yii: `` Python gbe wọle stackgen

backup_config = { "backup_type": "kikun", "backup_interval": "ojoojumọ", "backup_location": "/afẹyinti" }

Ṣẹda iṣẹ-ṣiṣe afẹyinti tuntun

backup_task = stackgen.Task("afẹyinti", backup_config)

Ṣafikun iṣẹ-ṣiṣe afẹyinti si ṣiṣan iṣẹ StackGen

stackgen.workflow.add_task(backup_task)

Bulọọki koodu yii n ṣalaye iṣẹ-ṣiṣe afẹyinti tuntun nipa lilo kilasi `stackgen.Task` ati ṣafikun rẹ si ṣiṣan iṣẹ StackGen ni lilo ọna `stackgen.workflow.add_task`.

### Aṣeṣe Irokeke adaṣe adaṣe pẹlu StackGen

Lati ṣe adaṣe adaṣe ihalẹ pẹlu StackGen, a yoo lo bulọọki koodu atẹle yii:
`` Python
gbe wọle stackgen

# Ṣeto atunto awoṣe irokeke ewu
irokeke_modeling_config = {
    "threat_modeling_type": "aimi",
    "threat_modeling_interval": "ọsẹ-ọsẹ"
}

# Ṣẹda iṣẹ-ṣiṣe awoṣe irokeke tuntun kan
irokeke_modeling_task = stackgen.Task("threat_modeling", irokeke_modeling_config)

# Ṣafikun iṣẹ ṣiṣe awoṣe irokeke ewu si ṣiṣan iṣẹ StackGen
stackgen.workflow.add_task(threat_modeling_task)

Bulọọki koodu yii n ṣalaye iṣẹ-ṣiṣe awoṣe eewu tuntun nipa lilo kilasi stackgen.Task ati ṣafikun rẹ si ṣiṣan iṣẹ StackGen ni lilo ọna stackgen.workflow.add_task.

** Ṣiṣe adaṣe ZeroOps DevOps pẹlu LangChain ***

Ni apakan yii, a yoo ṣe afihan bi a ṣe le ṣe adaṣe ZeroOps DevOps ni lilo LangChain.

Awọn ibeere

  • Fi LangChain sori ẹrọ ni lilo aṣẹ atẹle: `pip fi sori ẹrọ langchain'
  • Ṣẹda iṣẹ akanṣe LangChain tuntun nipa lilo aṣẹ atẹle: langchain init

Ṣiṣẹda data adaṣiṣẹ pẹlu LangChain

Lati ṣe adaṣe data sisẹ pẹlu LangChain, a yoo lo bulọọki koodu atẹle yii: `` Python gbe wọle langchain

Ṣetumo iṣeto sisẹ data

data_processing_config = { "data_source": "csv", "data_location": "/data" }

Ṣẹda iṣẹ ṣiṣe data tuntun kan

data_processing_task = langchain.Task("data_processing", data_processing_config)

Ṣafikun iṣẹ ṣiṣe data si iṣan-iṣẹ LangChain

langchain.workflow.add_task(data_processing_task)

Bulọọki koodu yii n ṣalaye iṣẹ ṣiṣe ṣiṣe data tuntun kan nipa lilo kilaasi `langchain.Task` ati ṣafikun rẹ si ṣiṣan iṣẹ LangChain ni lilo ọna `langchain.workflow.add_task`.

** Ṣiṣe adaṣe ZeroOps DevOps pẹlu DSPy ***
-----------------------------------------------------------------

Ni apakan yii, a yoo ṣe afihan bi o ṣe le ṣe adaṣe ZeroOps DevOps ni lilo DSPy.

### Awọn ibeere

* Fi DSPy sori ẹrọ ni lilo aṣẹ atẹle: `pip install dspy`
* Ṣẹda iṣẹ akanṣe DSPy tuntun nipa lilo aṣẹ atẹle: `dsp init`

### Ẹkọ ẹrọ adaṣe adaṣe pẹlu DSPy

Lati ṣe adaṣe adaṣe ẹrọ pẹlu DSPy, a yoo lo bulọọki koodu atẹle yii:
`` Python
agbewọle dsp

# Ṣetumo iṣeto ikẹkọ ẹrọ
machine_learning_config = {
    "model_type": "ìfàsẹ́yìn",
    "model_location": "/model"
}

# Ṣẹda iṣẹ ikẹkọ ẹrọ tuntun kan
machine_learning_task = dsp.Task("machine_learning", machine_learning_config)

# Ṣafikun iṣẹ ṣiṣe ikẹkọ ẹrọ si ṣiṣan iṣẹ DSPy
dsp.workflow.add_task(ẹrọ_learning_task)

Bulọọki koodu yii n ṣalaye iṣẹ-ṣiṣe ikẹkọ ẹrọ tuntun nipa lilo kilasi dsp.Task ati ṣafikun rẹ si ṣiṣan iṣẹ DSPy nipa lilo ọna dsp.workflow.add_task.

** Top 5-10 Awọn aṣẹ ti a lo julọ / awọn snippets ***

Eyi ni oke 5-10 ti o lo julọ awọn aṣẹ/snippets fun StackGen, LangChain, ati DSPy:

StackGen

  • `stackgen init': Ti bẹrẹ iṣẹ akanṣe StackGen tuntun kan
  • stackgen workflow.add_task(iṣẹ-ṣiṣe): Ṣafikun iṣẹ-ṣiṣe tuntun si ṣiṣan iṣẹ StackGen
  • stackgen task.create(orukọ_iṣẹ, task_konfigi): Ṣẹda iṣẹ-ṣiṣe tuntun nipa lilo orukọ pàtó ati iṣeto ni
  • stackgen workflow.run (): nṣiṣẹ StackGen bisesenlo
  • stackgen workflow.status(): Ṣe afihan ipo iṣan-iṣẹ StackGen

LangChain

  • `langchain init': Ti bẹrẹ iṣẹ akanṣe LangChain tuntun kan
  • langchain workflow.add_task(iṣẹ-ṣiṣe): Ṣafikun iṣẹ-ṣiṣe tuntun si ṣiṣan iṣẹ LangChain
  • langchain task.create(orukọ_iṣẹ, task_konfigi): Ṣẹda iṣẹ-ṣiṣe tuntun nipa lilo orukọ pàtó ati iṣeto ni
  • langchain workflow.run(): nṣiṣẹ LangChain bisesenlo
  • langchain workflow.status(): Ṣe afihan ipo iṣan-iṣẹ LangChain

DSPy

  • `dsp init': Ti bẹrẹ iṣẹ akanṣe DSPy tuntun kan
  • dsp workflow.add_task(iṣẹ-ṣiṣe): Ṣafikun iṣẹ-ṣiṣe tuntun si ṣiṣan iṣẹ DSPy
  • dsp task.create( task_name, task_config): Ṣẹda iṣẹ-ṣiṣe tuntun nipa lilo orukọ pàtó ati iṣeto ni
  • dsp workflow.run(): nṣiṣẹ ni DSPy bisesenlo
  • dsp workflow.status(): Ṣe afihan ipo iṣiṣẹ iṣiṣẹ DSPy

** Iworan ***

Eyi ni iwoye ti iṣan-iṣẹ StackGen nipa lilo Chart.js: `` json { "type": "ọgọ", "data": { "labels": ["Afẹyinti", "Aṣeṣe Idẹruba", "Ṣiṣe data", "Ẹkọ Ẹrọ"], "awọn ipilẹ data": [ { "label": "StackGen Workflow", "data": [10, 5, 8, 12], "backgroundColor": "rgba(255, 99, 132, 0.2)", "borderColor": "rgba(255, 99, 132, 1)", "AalaWidth": 1 } ] }, "awọn aṣayan": { "akọle": { "ifihan": otitọ, "ọrọ": "StackGen Workflow" }, "iwọn": { "yAxes": [ { "awọn ami": { "beginAtZero": otitọ } } ] } } }

Iwoye yii ṣe afihan nọmba awọn iṣẹ-ṣiṣe ni ipele kọọkan ti iṣan-iṣẹ StackGen.

**Ipari**
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Ninu nkan yii, a ti ṣe afihan bi o ṣe le ṣe adaṣe adaṣe ZeroOps DevOps nipa lilo awọn irinṣẹ orchestration ti AI-ṣiṣẹ bi StackGen, LangChain, ati DSPy. A ti ṣe afihan bi o ṣe le ṣe adaṣe awọn iṣẹ ṣiṣe bii afẹyinti, awoṣe irokeke, ati ifaramọ lemọlemọfún nipa lilo awọn irinṣẹ wọnyi. A tun ti pese iworan ti iṣan-iṣẹ StackGen nipa lilo Chart.js. Nipa gbigbe awọn irinṣẹ wọnyi ṣiṣẹ, awọn ajo le ṣe atunṣe awọn ilana DevOps wọn, mu iṣẹ ṣiṣe pọ si, ati dinku eewu aṣiṣe eniyan.

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