ZeroOps: Iko Kuenda kweDevOps neAI Agents uye Autonomous Infrastructure
Introduction
Munzvimbo inogara ichishanduka yekuvandudza software, iyo pfungwa yeZeroOps yabuda senzira yekuchinja kuDevOps yemazuva ano. Nekushandisa simba revamiririri veAI, LangChain, uye StackGen, ZeroOps ine chinangwa chekugadzira otomatiki uye nekugonesa iyo yese software yekuvandudza hupenyu, zvichiita kuti masangano akwanise kuwana zvisati zvamboitika mazinga ekubudirira, scalability, uye kuvimbika. Muchinyorwa chino, isu tichatarisa mukati mekuita tekinoroji yeZeroOps, tichiongorora mharadzano yayo neDevOps yemazuva ano, hungwaru kucherechedzwa, uye otomatiki.
Chii chinonzi ZeroOps?
ZeroOps inzira yekucheka-kumucheto kuDevOps iyo inokwirisa maAI agents, kudzidza muchina, uye otomatiki kubvisa kudiwa kwekupindira kwevanhu mukugadzira software. Nekuita otomatiki mabasa, kutarisa, uye kuita sarudzo, ZeroOps inogonesa masangano kuwana nekukurumidza nguva-kumusika, yakagadziridzwa mhando, uye kuderedzwa mitengo.
Basa reAI Agents muZeroOps
AI vamiririri vanoita basa rakakosha muZeroOps, kushanda semusana weiyo otomatiki uye kuita sarudzo. Aya maajenti akagadzirirwa kudzidza kubva kudhata, kuchinjika kune shanduko nharaunda, uye kuita sarudzo dzine ruzivo zvichibva pane yakaoma algorithms uye modhi yekudzidza yemuchina.
**LangChain: Iyo AI Agent Framework **
LangChain ndeye yakavhurika-sosi sisitimu yekuvaka AI vamiririri vanogona kudyidzana nevanhu, vamwe vamiririri, uye ekunze masisitimu. Inopa seti yezvishandiso uye maraibhurari ekugadzira, kudzidzisa, uye kuendesa AI vamiririri, zvichiita kuti ive sarudzo yakanaka yeZeroOps kuita.
StackGen: Iyo Infrastructure Automation Tool
StackGen chishandiso chine simba chekugadzira otomatiki kugadzirwa uye manejimendi ezvivakwa, kusanganisira chaiwo michina, midziyo, uye makore zviwanikwa. Inoshandisa syntax inozivisa kutsanangura masisitimu ezvivakwa, zvichiita kuti zvive nyore kubata nharaunda dzakaoma.
Technical Kuitwa kweZeroOps
Kuita ZeroOps uchishandisa LangChain uye StackGen, isu tinofanirwa kutevedzera aya matanho:
- ** Tsanangura AI Agent **: Gadzira mumiririri weAI uchishandisa LangChain iyo inogona kuwirirana nehupfumi, kutarisa kushanda, uye kuita zvisarudzo zvichienderana nemashoko.
- Gadzirisa StackGen: Tsanangura magadzirirwo ezvivakwa uchishandisa StackGen, uchitsanangura zviwanikwa, network, uye chengetedzo inodiwa pakushandisa.
- Kubatanidza LangChain uye StackGen: Batanidza mumiririri weAI neStackGen, zvichiita kuti mumiririri aite otomatiki kusikwa kwezvivakwa, kuyera, uye manejimendi.
- **Kushandisa Intelligent Observability **: Shandisa LangChain kuti ushandise kuchenjerera kutarisa, zvichiita kuti mumiririri weAI atarise kushanda, aone kukanganisa, uye aite zvisarudzo zvine ruzivo.
Muenzaniso Unoshanda: Kuita otomatiki Kusikwa Kwezvivakwa neStackGen uye LangChain
Heino muenzaniso wakapusa wekuita otomatiki kusikwa kwezvivakwa uchishandisa StackGen uye LangChain:
import stackgen
kubva ku langchain import Agent
zvivakwa_config = {
"zvishandiso": {
"vm": {
"type": "t2.micro",
"kuverenga": 2
}
},
"mambure": {
"vpc": {
"cidr_block": "10.0.0.0/16"
}
},
"chengetedzo": {
"firewall_rules": [
{
"protocol": "tcp",
"chiteshi": 80
}
]
}
}
# Gadzira muenzaniso weStackGen
stackgen_instance = stackgen.StackGen(infrastructure_config)
# Tsanangura iyo AI mumiriri
mumiririri = mumiririri (
zita = "infrastructure_agent",
modhi="langchain/model:zvino",
prompt="Gadzira zvivakwa neinotevera gadziriro: {infrastructure_config}"
)
# Batanidza iyo AI mumiriri neStackGen
stackgen_instance.integrate_agent(agent)
# Otomatiki kugadzirwa kwezvivakwa
stackgen_instance.create_infrastructure()
Iyi kodhi inotsanangura gadziriro yezvivakwa uchishandisa StackGen, inogadzira mumiriri weAI uchishandisa LangChain, uye inobatanidza mumiriri neStackGen. Pakupedzisira, inogadzirisa kugadzirwa kwezvivakwa uchishandisa AI mumiriri.
Pamusoro 5-10 Inonyanya Kushandiswa Mirairo/Zvidimbu
Heano mamwe emirairo anonyanya kushandiswa uye zvimedu zveZeroOps uchishandisa LangChain uye StackGen:
stackgen create_infrastructure: Gadzira zvivakwa uchishandisa zvakatsanangurwa gadziriro.langchain agent gadzira: Gadzira mumiririri weAI mutsva.langchain agent train: Dzidzisa mumiririri weAI uchishandisa dataset.stackgen integrate_agent: Batanidza mumiririri weAI neStackGen.langchain agent deploy: Tumira iyo yakadzidziswa AI mumiriri kunzvimbo yekugadzira.stackgen get_infrastructure_status: Wana chimiro chegadziriro yakagadzirwa.langchain agent get_metrics: Wana metrics kubva kumumiririri weAI.stackgen update_infrastructure_config: Gadziridza gadziriro yezvivakwa.langchain agent update_model: Gadzirisa modhi yeAI mumiririri.stackgen delete_infrastructure: Bvisa zvivakwa zvakagadzirwa.
Kuona
Heino tarisiro yeZeroOps architecture uchishandisa Chart.js:
{
"type": "bha",
"data": {
"labels": ["DevOps", "ZeroOps"],
"datasets": [
{
"label": "Automation",
"data": [50, 100],
"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": "Intelligent Observability",
"data": [75, 100],
"backgroundColor": ["rgba(255, 206, 86, 0.2)", "rgba(75, 192, 192, 0.2)"],
"borderColor": ["rgba(255, 206, 86, 1)", "rgba(75, 192, 192, 1)"],
"borderWidth": 1
}
]
},
"sarudzo": {
"zita": {
"kuratidza": chokwadi,
"zvinyorwa": "ZeroOps Architecture"
},
"zvikero": {
"yAxes": [
{
"zvikwekwe": {
"beginAtZero": chokwadi
}
}
]
}
}
}
Ichi chitarisiko chinoratidza kuenzanisa pakati pechinyakare DevOps neZeroOps, ichiratidzira yakawedzera otomatiki uye nehungwaru hwekuona kugona kweZeroOps.
Mhedziso
ZeroOps inzira yekuchinja kuDevOps yemazuva ano iyo inosimudzira maAI maajenti, LangChain, uye StackGen kuti iite otomatiki uye nekugonesa iyo software yekuvandudza hupenyu. Nekubatanidza matekinoroji aya, masangano anogona kuwana mazinga asina kumboitika ekushanda, scalability, uye kuvimbika. Muchikamu chino, takaongorora kushandiswa kwehunyanzvi kweZeroOps, kusanganisira muenzaniso unoshanda wekugadzira otomatiki kusikwa kwezvivakwa uchishandisa StackGen uye LangChain. Isu takapawo ratidziro yeZeroOps architecture uye takanyora epamusoro 5-10 anonyanya kushandiswa mirairo uye snippets yeZeroOps.