AI-powered DevOps ine GitHub User Guide

Kana yaitwa zvinobudirira, DevOps inogona kushandura nzira iyo sangano rako rinounza software-inowedzera
kuburitsa kutenderera, kuvandudza kuvimbika, uye kutyaira hunyanzvi.
Iwo chaiwo mukana uri munzira iyo DevOps inokugonesa iwe kuti ugare wakasimba mumusika unokurumidza kubuda. Nekumisikidza tsika yekubatana, kuenderera mberi kwekuvandudza, uye kutorwa kwehunyanzvi tekinoroji, unogona kupfuura mukwikwidzi nekukurumidza nguva yekutengesa uye nekugona kwakasimba kuchinjika.

DevOps inoumbwa nezviitiko zvakasiyana, hunyanzvi hwehunyanzvi, uye maonero etsika. Izvi zvakasiyana-siyana zvinounza kududzira kwakawanda uye maitiro ekuchinja, zvichiita kuti DevOps ive ine simba uye inopindirana. Chikwata cheDevOps chinoshanda uye chinosanganisira vatambi vakakosha kubva kuzvikwata izvo chikamu cheiyo software delivery lifecycle (SDLC).
Mune ino ebook, isu tichaongorora kukosha kwekuvaka yakasimba DevOps timu uye kudzidzira, uye maitiro ekushandisa AI kuita otomatiki mabasa enguva dzose, kuchengetedza kodhi, uye kuwana yakakwana yekupedzisira-kusvika-kumagumo ehupenyu manejimendi.

DevOps inotsanangurwa

Donovan Brown, izwi rinovimbwa munharaunda yeDevOps, akagovera tsananguro yeDevOps iyo yave ichizivikanwa zvakanyanya nevarapi veDevOps:

DevOps mubatanidzwa wevanhu, maitiro, uye zvigadzirwa kuti zvigone kuramba zvichiendesa kukosha kune vashandisi vako vekupedzisira.

Donovan Brown

Partner Chirongwa Maneja // Microsoft1
Munzvimbo dzakawanda dzetekinoroji, zvikwata zvinonyudzwa nehunyanzvi hwavo seti, imwe neimwe ichitarisa kune yavo metrics, KPIs, uye zvinounzwa. Kutsemuka uku kunowanzo nonotsa kuburitsa, kukonzeresa kusashanda zvakanaka, uye kunotungamira kune zvinopesana, zvichizokanganisa kufambira mberi.
Kuti akunde matambudziko aya, masangano anofanirwa kushanda kukurudzira kubatana, kukurudzira mhinduro inovaka, otomatiki mafambiro ebasa, uye kugamuchira kuvandudzwa kunoramba kuripo. Izvi zvinobatsira kuve nechokwadi chekukurumidza kuburitswa kwesoftware, kunyatsoita basa, kugadzirisa sarudzo, kuchengetedza mutengo, uye yakasimba yemakwikwi.
Zvikwata zvingatanga sei kutora maitiro matsva eDevOps zvinobudirira? Vanogona kutanga nekugadzirisa anonyanya kukosha mapoinzi ekutanga, akadai semanyorero ekuisa manyorerwo, marefu emhinduro kutenderera, kusashanda bvunzo otomatiki, uye kunonoka kunokonzerwa nekupindira kwemanyore mumapaipi ekuburitsa.

Kubvisa mapoinzi ekupokana kunogona kunzwa kuremerwa, asi kukurumidza kusimuka kweAI mumakore achangopfuura kwakagadzira mikana mitsva yevagadziri kuti vawedzere kumhanya uye kunaka kwebasa ravo. Tsvagiridzo yedu yakawana kuti mhando yekodhi yakanyorwa uye zvakareviewed yaive nani pane bhodhi neGitHub Copilot Chat yakagoneswa, kunyangwe pasina mumwe wevagadziri anga amboshandisa chimiro.
85% yevagadziri vakanzwa vane chivimbo mumhando yekodhi yavo pavakanyora kodhi neGitHub Copilot uye GitHub Copilot Chat.

85%

Code reviews dzaive zvakanyanya kuita uye dzakapedzwa 15% nekukurumidza kupfuura pasina GitHub Copilot Chat

15%

DevOps + generative AI: Kushandisa AI yekubudirira
Nekusimudzira tsika yekugovana mutoro, DevOps inokurudzira kubatana uye kuputsa silos. AI inotora izvi zvakatowedzera nekuita otomatiki kudzokorora mabasa, kugadzirisa mafambiro ebasa, uye kugonesa kukurumidza mhinduro kutenderera, zvichibvumira zvikwata kuti zvitarise pabasa rine kukosha kwepamusoro.
Dambudziko rakakosha mukuunza software kusashanda uye kusarongeka-nyaya dzinobatsira AI kugadzirisa nekugadzirisa manejimendi ezviwanikwa uye kuunza zvinoenderana, zvakatonyanya mhedzisiro. Kushanda kweAI-inotyairwa hakungogone chete kusimudzira mashandiro ekushandisa uye kugadzirisa zvivakwa asiwo kusimbisa kuchengetedzeka uye kuderedza mitengo.
Zvikwata zvinonyatsoita zvinokwanisa kuona nekuita otomatiki mabasa anodzokororwa anotadzisa kugadzirwa uye kuwedzera kutenderera kwekutumira. Chinangwa chekupedzisira ndechekuunza izvo zvinonyanya kukosha kune vatengi uye vashandisi vekupedzisira pavanenge vachityaira kukura kwesangano, kuwedzera nguva yemusika, uye kusimbisa kugadzirwa kwemugadziri uye kugutsikana.

Kuita otomatiki zvinhu zvepanyika
Vagadziri vanowanzobata mabasa ezuva nezuva anodzokororwa.
Izvi zvinowanzonzi "mbavha dzenguva" uye zvinosanganisira zvinhu zvakaita semanyorero ehurongwa hwekutarisa, kumisikidza mitsva yekodhi nharaunda kana kuziva uye kugadzirisa tsikidzi. Aya mabasa anotora nguva kubva padanho remugadziri: kuunza zvinhu zvitsva.
DevOps yakaenzana zvikamu timu kurongeka uye otomatiki.
Chinangwa chikuru ndechekubvisa mitoro uye zvivharo mumigwagwa kubva kuSDLC uye kubatsira vanogadzira kuderedza mabasa emaoko uye emazuva ese. Ngatitarisei kuti ungashandisa sei AI kugadzirisa nyaya idzi.

Gadzirisa budiriro yehupenyu neGitHub
Ngatisanganise DevOps, AI, uye simba reGitHub kuti tione kuti zvikwata zvako zvingaunze sei kukosha-ku-kuguma. GitHub
inozivikanwa zvakanyanya seimba yeyakavhurika-sosi software, asi inopawo bhizinesi-chikamu maficha kuburikidza neiyo GitHub Enterprise mhinduro.
GitHub Enterprise inokwenenzvera hupenyu hweDevOps nekupa yakabatana chikuva chekutonga shanduro, kuteedzera nyaya, kodhi review, nezvimwe. Izvi zvinodzikisira kupararira kwezvishandiso, kuderedza kusashanda, uye kuderedza njodzi dzekuchengetedza nekucheka pasi pahuwandu hwenzvimbo dziri kushanda nezvikwata zvako.

Nekuwana GitHub Copilot, inotungamira AI yekuvandudza chishandiso, kutenderera kwekusimudzira kunogona kukwidziridzwa nekudzikisa nguva inoshandiswa pakudzokorora mabasa uye kuderedza zvikanganiso. Izvi zvinogona kutungamirira kukurumidza kutumirwa uye nguva pfupi yekutengesa.
Yakavakirwa-mukati otomatiki uye CI/CD workflows paGitHub zvakare inobatsira kurerutsa kodhi reviews, kuyedzwa, uye kutumira. Izvi zvinoderedza huwandu hwemabasa emaoko, uku uchipfupisa nguva dzekubvumidza uye nekuchimbidza budiriro. Zvishandiso izvi zvinogonesa kubatana kusina musono, kuputsa silos uye kubvumira zvikwata kuti zvibate ese mapurojekiti azvo nemazvo-kubva pakuronga kusvika pakuunza.

Shanda zvine hungwaru, kwete zvakanyanya
Automation iri pamwoyo weDevOps, zvichiita kuti zvibvire kubvisa mbavha dzenguva uye kutarisisa kuendesa kukosha nekukurumidza. Automation ishoko rakakura kwazvo rinosanganisira zvinhu zvakasiyana kubva kuSDLC. Otomatiki inogona kusanganisira zvinhu zvakaita sekugadzirisa CI/CD kubvumira kusanganisa kusanganisa kwekodhi shanduko munzvimbo yako yekugadzira. Izvi zvinogona zvakare kusanganisira otomatiki yako masisitimu sekodhi (IaC), kuyedza, kutarisa uye kunyevera, uye chengetedzo.
Nepo maturusi mazhinji eDevOps achipa CI/CD kugona, GitHub inoenda nhanho mberi neGitHub Zviito, mhinduro inopa bhizinesi-giredhi software ku.
nharaunda yako — mungave mugore, panzvimbo, kana kumwewo. NeGitHub Zviito, haugone kungogamuchira yako CI/
CD mapaipi asiwo otomatiki chero chinhu chiri mukati mekufamba kwako kwebasa.
Uku kubatanidzwa kusina musono neGitHub papuratifomu kunobvisa kudiwa kwemamwe maturusi, kugadzirisa mafambiro ebasa uye kuwedzera chibereko. Heano maitiro eGitHub Zviito anogona kushandura mafambiro ako:

Inokurumidza CI / CD: Otomatiki kuvaka, kuyedza, uye kuendesa mapaipi ekuburitsa nekukurumidza.

Yakavandudzwa kodhi mhando: Simbisa kodhi yekumisikidza zviyero uye bata nyaya dzekuchengetedza nekukurumidza.
Kudyidzana kwakavandudzwa: otomatiki zviziviso uye kutaurirana kwakatenderedza maitiro ebudiriro.

Kuteerera kwakareruka: Kunobatsira kuwiriranisa matura nezvimiro zvesangano.
Kuwedzera kugona: Gadzirisa kudzokorora mabasa kusunungura nguva yevagadziri.

GitHub Copilot inogona kushandiswa kugadzira kodhi mazano uye kuratidza kuti ndezvipi Zviito zvekushandisa kugadzira zvirinani mafambiro. Inogonawo kupa mazano ekukodha maitiro akanakisa akagadzirirwa kusangano rako ayo zvikwata zvako zvinogona kukurumidza kuita kubatsira kusimbisa hutongi nemagungano. GitHub Copilot inoshandawo nemitauro yakasiyana-siyana yekuronga uye inogona kushandiswa kuvaka Zviito uye mafambiro ebasa kuita otomatiki mabasa.

Kuti udzidze zvakawanda nezve GitHub Copilot, ona:

Kuwana mazano ekodhi muIDE yako neGitHub Copilot
Kushandisa GitHub Copilot muIDE yako: matipi, matipi, uye akanakisa maitiro

10 isingatarisirwe nzira dzekushandisa GitHub Copilot

Deredza kudzokorora mabasa
Tarisa pakuita otomatiki maitiro uye kushandisa maturusi akadai seGitHub Copilot kugadzirisa mafambiro ako. For exampuye, Copilot anogona kubatsira nekugadzira bvunzo dzeyuniti-inopedza nguva asi yakakosha chikamu chekuvandudza software. Nekugadzira zvirevo chaizvo, vagadziri vanogona kutungamira Copilot kugadzira masutu ekuyedza akazara, anofukidza ese akakosha mamiriro uye mamwe akaomarara emupendero makesi. Izvi zvinoderedza kushanda nesimba uchichengetedza kodhi yemhando yepamusoro.

Izvo zvakakosha kuti uvimbe, asi simbisa, mhedzisiro inopihwa naCopilot-senge chero ipi zvayo inogadzirwa neAI-powered chishandiso. Zvikwata zvako zvinogona kuvimba naCopilot pamabasa akareruka uye akaomarara, asi zvakakosha kuti ugare uchisimbisa zvazvinobuda kuburikidza nekuyedzwa kwakakwana usati watumira chero kodhi. Izvi hazvingobatsiri kuve nechokwadi chekuvimbika asi zvakare zvinodzivirira zvikanganiso zvingangoderedza kufambisa kwako.
Sezvo iwe uchienderera mberi nekushandisa Copilot, kunatsiridza kukurumidza kwako kuchakubatsira kuti uite zvakanyanya kugona kwayo, ichigonesa yakangwara otomatiki uku uchiwedzera kuderedza kudzokorora mabasa.
Kuti uwane rumwe ruzivo nezve kugadzira bvunzo dzeyuniti neGitHub Copilot, ona:

Gadzira bvunzo dzeyuniti uchishandisa GitHub Copilot maturusi
Kunyora bvunzo neGitHub Copilot

Injiniya nekukurumidza uye mamiriro
Kubatanidza GitHub Copilot mune yako DevOps kudzidzira kunogona kushandura mashandiro anoita timu yako. Kugadzira chaizvo, mamiriro-akapfuma makurudzira eCopilot anogona kubatsira timu yako kuvhura mazinga matsva ekubudirira uye kufambisa maitiro.
Aya mabhenefiti anogona kuturikira kuita zvinoyerwa mhedzisiro yesangano rako, senge:

Kuwedzera kushanda nesimba: Gadzirisa kudzokorora mabasa, kuderedza kupindira kwemanyorero, uye kugonesa nekukurumidza, kungwara kuita sarudzo nekuita zvinobatika.
Kuchengetedza mari: Gadzirisa mafambiro ebasa, kuderedza zvikanganiso, uye kudzikisa mutengo wekusimudzira nekubatanidza AI mukudzokorora uye kukanganisa-maitiro maitiro.
Dhiraivha zvabuda: Shandisa Copilot kutsigira zvibodzwa zvine hungwaru, kuvandudza zviitiko zvevatengi, uye kuchengetedza mutsetse wemakwikwi mumusika.

Nekudzidza manyorero chaiwo uye ane hudzamu hwekukurudzira, zvikwata zvinogona zvakanyanya kunatsiridza kukosha uye huchokwadi hwemazano aCopilot. Kufanana nechero chishandiso chitsva, kukwira kwakakodzera uye kudzidziswa kwakakosha kubatsira timu yako kuwedzera mabhenefiti eCopilot pamwero.

Heano maitiro aunokwanisa kusimudzira tsika yeinjiniya inoshanda nekukurumidza mukati mechikwata chako:

Vaka nharaunda yemukati: Misa nzira dzekutaura dzekugovana ruzivo, kupinda kana kuitisa zviitiko, uye gadzira mikana yekudzidza kugadzira nzvimbo yekuti zvikwata zvako zvidzidze.
Goverana nguva dzinoshamisa: Shandisa zvishandiso zvakaita seCopilot kugadzira zvinyorwa zvinotungamira vamwe parwendo rwavo.
Govera matipi uye matipi awakanhonga: Sangara ruzivo rwekugovana zvikamu uye shandisa yako yemukati kutaurirana (nenhau, Matimu, Slack, nezvimwewo) kugovana ruzivo.

Kukurudzira kunoshanda kunobatsira kuwiriranisa AI nezvinangwa zvechikwata chako, izvo zvinogona kutungamira kuita zvirinani kuita sarudzo, zvakavimbika zvinobuda, uye kuita kwepamusoro. Nekushandisa idzi nzira dzeinjiniya dzekukurumidza, haungogone kuchengetedza mari chete asi kugonesa kukurumidza kuburitsa, kukwidziridzwa kwechigadzirwa chinopihwa, uye epamusoro vatengi zviitiko.

DevOps + chengetedzo: Kudzivirira kodhi kubva mukati kunze

Iyo yakabatana zano rekutonga SDLC yako inoshanda zvakanyanya kana ichitsigirwa neyakakwenenzverwa chishandiso. Nepo kuturika kwezvishandiso kuri kunetsa kune akawanda maDevOps chirango, kuchengetedzwa kwekushandisa kunowanzo nzwa kukanganisa kwayo zvakanyanya. Zvikwata zvinowanzo wedzera maturusi matsva ekugadzirisa mapundu, asi maitiro aya anowanzo furatira nyaya dzakakosha dzine chekuita nevanhu uye maitiro. Nekuda kweizvozvo, nzvimbo dzekuchengetedza dzinogona kuzara nezvose kubva kune imwe-application scanner kuenda kune yakaoma bhizinesi njodzi mapuratifomu.
Nekurerutsa mudziyo wako wekushandisa, unobatsira vanogadzira kuti varambe vakatarisa, kuderedza shanduko yemamiriro ezvinhu, uye kuchengetedza kuyerera kwavo kwekodha. Chikuva umo chengetedzo inosanganisirwa padanho rega rega-kubva kubva pakutsamira manejimendi uye chenjedzo yekusagadzikana kune matanho ekudzivirira anochengetedza ruzivo rwakadzama-inounza kugadzikana kune sangano rako rekuchengetedza software. Pamusoro pezvo, kuwedzera kwakakosha, zvichiita kuti iwe ushandise zvishandiso zvako zviripo padivi pepuratifomu yakavakirwa-mukati kugona.

Chengetedza mutsara wega wega wekodhi
Paunofunga nezvekuvandudzwa kwesoftware, mitauro yakaita sePython, C #, Java, uye Rust inogona kuuya mupfungwa. Nekudaro, kodhi inotora mafomu mazhinji, uye nyanzvi munzvimbo dzakasiyana siyana- data masayendisiti, vanoongorora zvekuchengetedza, uye bhizinesi vehungwaru vanoongorora-vanoitawo kukodha nenzira dzavo. Nekuwedzera, njodzi yako inogona kuitika yekusagadzikana kwekuchengetedza inowedzera-dzimwe nguva nekusaziva. Kupa huwandu hwakakwana hwezviyero uye nzira kune vese vanogadzira, zvisinei nebasa ravo kana zita ravo, zvinovagonesa kubatanidza chengetedzo munhanho yega yega kutenderera.

Kuongorora kwakasimba uye kuongorora kwakavanzika
Kushandisa application kuchengetedza bvunzo (AST) maturusi ave kuwanda kana zvasvika pakuvaka-nguva yekubatanidza. Imwe nzira inopindira zvishoma ndeyekutarisa iyo kodhi kodhi sezvairi, kutsvaga mapoinzi ekuomarara, zvinogona kuitika, uye kutevedzera zviyero. Iko kushandiswa kwesoftware kuumbwa kwekuongorora (SCA) pane yega yega uye kusunda kwega kwega kunobatsira vanogadzira kutarisisa basa riripo vachipa michina yekudhonza zvikumbiro uye kodhi re.views kuva nezvibereko uye zvine zvazvinoreva.
Chakavanzika scanning chombo chakavanzika chinopokana nekuita kukanganisa zvakavanzika kana makiyi ekudzora sosi. Kana yagadziriswa, kuongorora kwakavanzika kunodhonza kubva pane rondedzero yeanopfuura zana nemakumi maviri akasiyana esoftware uye vatengesi vepuratifomu, kusanganisira AWS, Azure, uye GCP. Izvi zvinobvumira kuzivikanwa kwechakavanzika chakavanzika chingaenderana neaya masoftware maapplication kana mapuratifomu. Iwe unogona zvakare kuyedza kana chakavanzika kana kiyi iri kushanda zvakananga kubva kuGitHub UI, zvichiita kuti kugadzirisa kuve nyore.

Yepamberi kodhi ongororo neCodeQL
CodeQL ishandiso ine simba muGitHub inoongorora kodhi kuona kusazvibata, tsikidzi, uye zvimwe zvemhando nyaya. Inovaka dhatabhesi kubva kucodebase yako kuburikidza nekubatanidza kana kududzira uyezve inoshandisa mutauro wemubvunzo kutsvaga maitiro asina njodzi. CodeQL zvakare inoita kuti iwe ugadzire dhatabhesi rakasiyana-siyana rakagadzirirwa nyaya dzakanangana kana nyaya dzekushandisa dzinoenderana nebhizinesi rako. Uku kuchinjika kunogonesa kuvandudzwa kwemadatabase ekusagadzikana anogona kushandiswa panguva yekuongororwa kwemamwe maapplication mukati mebhizinesi rako.
Pamusoro pekugona kwayo kwakasimba, CodeQL inoburitsa scan uye mhedzisiro mhedzisiro nekukurumidza kumitauro inotsigirwa, ichibvumira vanogadzira kugadzirisa nyaya nemazvo pasina kukanganisa pamhando. Uku kusanganiswa kwesimba uye kumhanya kunoita kuti CodeQL ive yakakosha mukuchengetedza kodhi kuvimbika uye kuchengetedzeka mumapurojekiti akasiyana. Inopawo vatungamiri nzira inoparadza yekuvandudza kusimba kwesangano uye kuita maitiro akachengeteka ekuvandudza software.

maminitsi
Kubva pakuonekwa kwenjodzi kusvika pakugadzirisa kunobudirira3

zvakanyatsojeka
Inowana zvakavanzika zvakaburitswa zvine mashoma enhema positives4

coverage
Copilot Autofix inopa mazano ekodhi kunosvika 90% yemhando dzechenjedzo mumitauro yese inotsigirwa5

Pakazere, nguva yepakati yekuti vanogadzira vashandise Copilot Autofix kuita otomatiki gadziriso yePR-nguva yambiro yaive maminetsi makumi maviri nemasere, zvichienzaniswa neawa 28 kugadzirisa chenjedzo dzakafanana nemaoko (1.5x nekukurumidza). Kune SQL jekiseni kusasimba: 3 maminetsi achienzaniswa neawa 18 (3.7x nekukurumidza). Kubva pane nyowani kodhi yekuongorora ziviso inowanikwa neCodeQL mukudhonza zvikumbiro (PRs) pane repositori neGitHub Yepamberi Chengetedzo inogoneswa. Aya maexamples; mhinduro dzako dzichasiyana.

Kuenzanisa Kudzidza kweSoftware Zvakavanzika Kutaurwa neChakavanzika Detection Tools,
Setu Kumar Basak et al., North Carolina State University, 2023
https://github.com/enterprise/advanced-security

Demystifying the dependency graph

Zvishandiso zvemazuva ano zvinogona kuve nemapakeji akawanda anonongedzwa zvakananga, ayo anogona kuzove nemamwe akawanda emapakeji sekutsamira. Dambudziko iri ampakarongedzerwa semabhizinesi akatarisana nekutonga mazana emarepositori ane akasiyana siyana ekutsamira. Izvi zvinoita kuti kuchengetedza kuve basa rakaoma, sezvo kunzwisisa kuti ndezvipi zvinotsamira zviri kushandiswa musangano rese zvinova zvakaoma. Kutora nzira yekutsamira yekutarisira inoteedzera repository kutsamira, kusasimba, uye OSS marezinesi marudzi kunoderedza njodzi uye kunobatsira kuona nyaya dzisati dzasvika mukugadzirwa.
GitHub Enterprise inopa vashandisi uye inotungamira manzwisisiro ekukurumidza mukutsamira magirafu, pamwe nekushandisa zviziviso kubva kuDependabot iyo inomira-yechinyakare maraibhurari inoisa dzingangove njodzi yekuchengetedza.

Iyo repository dependency graph ine

Dependencies: Rondedzero yakazara yezvitsamira zvakaonekwa mune repository
Dependents: Chero mapurojekiti kana marepositori ane anotsamira pane repository

Dependabot: Chero zvakawanikwa kubva kuDependabot zvine chekuita neshanduro dzakagadziridzwa dzekutsamira kwako

Nekusagadzikana kwerepository-level, iyo Chengetedzo tebhu mubhawa yekufambisa inoratidza mibairo yekusagadzikana yakaonekwa iyo inogona kuve yakabatana nekutsamira kune yako codebase. The Dependabot view inonyora zviziviso zvine chekuita nekusagadzikana kwakaonekwa uye inobvumidza iwe kuti udaro view chero mitemo inogona kubatsira kuyedza otomatiki dzimwe chenjedzo kune veruzhinji repositori.

GitHub Enterprise uye sangano views
NeGitHub Enterprise, unogona view uye tonga zvinovimbika, kusasimba, uye marezinesi eOSS pane ese marepositori musangano rako uye bhizinesi. Iyo yekutsamira girafu inobvumidza iwe kuti uone yakazara view yekutsamira kune ese akanyoreswa repositori.

Iyi at-a-glance dashboard inopa yakanakisa snapshot kwete chete yeanozivikanwa chengetedzo kuraira asiwo yekugovera kwemarezinesi ane chekuita nekutsamira.
inoshandiswa mubhizinesi rako rese. Kushandisa rezinesi reOSS kunogona kuve nenjodzi zvakanyanya, kunyanya kana iwe ukatonga kodhi yemuridzi. Mamwe marezinesi akavhurika akavhurika, akadai seGPL neLGPL, anogona kusiya yako kodhi kodhi iri panjodzi yekumanikidzwa kuburitswa. Vhura sosi zvinhu zvinoda kutsvaga nzira yakabatana yekuona kwaungave usiri kutevedzera uye ungashuva kutsvaga dzimwe nzira dzekuti mapakeji ari kudhonzwa nemarezinesi iwayo.

Kuchengetedza chimiro chako chekuchengetedza

Mazhinji bhizinesi-giredhi sosi yekudzora manejimendi masisitimu anokupa iwe sarudzo dzekuchengetedza kodhi yako uchishandisa marongero, pre-kuita hoko, uye chikuva-chaicho mashandiro. Aya anotevera matanho anogona kushandiswa kuronga kunze kwakanyatso kutenderera chengetedzo chimiro:

Matanho ekudzivirira:
GitHub inobvumira kugadziridzwa uye kushandiswa kwemhando dzakasiyana dzemitemo yekusimbisa maitiro uye kudzivirira kubva kusingadiwe shanduko mumapazi chaiwo. For example:
- Mitemo inoda zvikumbiro zvekudhonza usati wabatanidza shanduko
- Mitemo inodzivirira matavi chaiwo kubva pakuita shanduko dzakasundirwa zvakananga

Imwe yekuwedzera mutengi-padivi cheki inogona kuitwa nekushandisa pre-commit hooks. Git, sesosi yekudzora manejimendi system, inotsigira pre-commit hoko kuita mabasa akasiyana siyana, sekufometa mameseji ekuita kana kumhanyisa mafomati uye maitirwo ekusimbisa usati waita shanduko. Aya machira anogona kushandisa zvemberi zvekushandisa kubatsira kuona kuenderana kwekodhi uye mhando padanho renzvimbo.

Matanho ekudzivirira: GitHub inobvumira kugadzirisa matanho ekudzivirira zvakare, kusanganisira kushandiswa kwecheki inogona kusimbiswa panguva yekudhonza chikumbiro kana CI kuvaka. Izvi zvinosanganisira:
- Dependency cheki
- Kuongorora macheki
- Macheki emhando yekodhi
- Quality magedhi
- Manual kupindira / magedhi ekubvumirwa kwevanhu

GitHub Enterprise inogonesa zvikwata zvekuvandudza software kuona uye kuita pane kusazvibata nekukurumidza, kubva pakutsamira kwechinyakare uye zvakatariswa-zvakavanzika kune inozivikanwa mitauro mibairo. Nekuwedzera kugona kwe viewing iyo yekutsamira girafu, vatungamiriri vechikwata uye maadmins vakapakata maturusi avanoda kuti vagare pamberi pekavha kana zvasvika kune ezvekuchengetedza mazano. Loop mukuonekwa kwemhando dzerezinesi dziri kushandiswa uye iwe unosara uine yakazara chengetedzo-yekutanga njodzi yekugadzirisa njodzi.

Kusimbisa pombi yeDevOps neGitHub Enterprise
Parizvino, zvakanaka kutaura kuti iyo pfungwa yeDevOps yakajairika kune avo vari muindasitiri yehunyanzvi. Nekudaro, sezvo maturusi matsva uye nzira dzekuisa maapplication dzichiramba dzichibuda, zvinogona kuisa kuomesera kusangano rinogara richikura kuti ribate nemazvo uye kuyera mhedzisiro yavo.
Kuzadzikisa zvinodiwa zvemusika zvezvikumbiro zvinotsiga, scalable, uye zvinodhura zvinogona kunetsa. Kushandisa cloud-based resources kunogona kubatsira kuvandudza nguva yemusika, kukurumidza chiuno chemukati kune vanogadzira, uye kubvumira kuti kuyedzwa kwakayerwa uye kutumira kuitike nemitengo-inoziva zvidzoreso.

Kugonesa cloud-native applications
Zvakawanda senge paradigm yekuchinja kuruboshwe yakaunza chengetedzo, kuyedzwa, uye mhinduro padyo nebudiriro yemukati loop, zvimwe chete zvinogona kutaurwa pakugadzira zvikumbiro zvegore. Kugamuchira cloud-centric budiriro maitiro kunobatsira vagadziri kubhura mukaha uripo pakati pemaitiro echinyakare nemhinduro dzemazuva ano dzegore. Kuchinja uku kunogonesa zvikwata kuti zvifambe kupfuura kungogadzira makore-yekutanga maapplication ekuvaka echokwadi emakore-ekuzvarwa.

Gadzira mugore, tumira kune gore
Iyo IDE inofambisa kusimudzira isina musono iko zvino tarisiro yakajairika. Nekudaro, iyo pfungwa yekutakurika mukati meiyo nharaunda ingano, kunyanya tichifunga nezve kufambira mberi kwegore-yakavakirwa IDE. Nekutangwa kweGitHub Codespaces uye iri pasi peDevContainers tekinoroji, vanogadzira vave kukwanisa kugadzira kodhi munzvimbo inotakurika yepamhepo. Iyi setup inobvumira kuti vashandise configuration files, zvichiita kuti nzvimbo yavo yebudiriro igadziriswe kuti isangane nezvinodiwa nechikwata.

Iko kusanganiswa kwe reusability uye kutakurika kunopa masangano akakosha advantages. Zvikwata zvinogona
ikozvino vanoisa pakati pekumisikidza kwavo uye zvakatipoteredza, zvichiita kuti mugadziri wega wega-angave mutsva kana ane ruzivo-kushanda mukati meseti imwechete. Kuve neaya magadzirirwo epakati anobvumira nhengo dzechikwata kuti dzibatsire kune izvo zvigadziriso. Sezvo zvinodiwa zvichishanduka, nharaunda inogona kuvandudzwa uye kuchengetwa munzvimbo yakatsiga kune vese vanogadzira.

Kugadzirisa workflows pamwero
Ndiyo yekuvandudza mafambiro uye nguva yekushambadzira iyo inonyatso fambisa metrics pakubudirira. Kugadzirisa izvi pamwero, zvisinei, kunogona kuve dambudziko, kunyanya kana zvikwata zvakawanda zvakasiyana zvevagadziri zviri kushandisa mafambiro uye kuendesa kune akasiyana makore, makore masevhisi, kana kunyange pa-nzvimbo yekumisikidza. Hedzino nzira shoma GitHub Enterprise inotora mutoro wekutonga workflows pachiyero:

Nyoresa neanogona kushandiswa Zviito uye mafambiro ebasa
Shandisa hutongi uchishandisa
Zviito mitemo

Shandisa Zviito zvakaburitswa na
vaparidzi vakavimbika
Shandisa mitemo yebazi uye mitemo kubatsira kuona kuenderana uye kuchengetedza mainline kodhi
Gadzirisa izvo zvine musoro padanho rebhizinesi nesangano

Kupera-kusvika-kumagumo software lifecycle manejimendi
Kugadzirisa zvese zvakarongwa uye mukati-ndege basa ibwe rakakosha repakona yeagile software kuvandudza. GitHub Enterprise inopa yakareruka purojekiti manejimendi yekuvaka iyo inobvumira vashandisi kugadzira mapurojekiti, kubatanidza chimwe chete kana kupfuura timu uye repositori neiyo purojekiti, uyezve shandisa nyaya dzinovhurwa pane dzakabatanidzwa repositori kuteedzera zvinhu zvebasa mukati meprojekiti. Mavara anogona kushandiswa kusiyanisa pakati pemhando dzakasiyana dzenyaya.

For example, zvimwe zvekusarudzika
mavara anogona kushandiswa nenyaya ndeekusimudzira, bug, uye chimiro. Kune chero chinhu chine rondedzero yakabatana yemabasa ane chekuita nenyaya, zvinokwanisika kushandisa Markdown kutsanangura iro rondedzero yemabasa secheki uye sanganisira iyo mumutumbi wenyaya. Izvi zvinobvumira kurondwa kwekupedzwa zvichibva pane iyo yekutarisa uye inobatsira kuienderana neyakakura yeprojekiti, kana yatsanangurwa.

Kugadzirisa iyo mhinduro loop
Haisi chakavanzika kuti nekukurumidza mugadziri anogamuchira mhinduro nezve chaiyo mashandiro, zviri nyore kugadzirisa zvinogona kuitika uye kuburitsa zvigadziriso zvichienzaniswa nekusimbisa shanduko. Sangano rega rega rine nzira yaro yavanoda kutaurirana, kungave kuburikidza nekutumira mameseji, email, makomendi pamatikiti kana nyaya, kana kufona. Imwe yekuwedzera GitHub Enterprise ficha ndeye Hurukuro, iyo inopa vanogadzira uye vashandisi kugona kwekudyidzana munharaunda-yakavakirwa nharaunda, kutaurirana shanduko, chero mhando dzenyaya zvine chekuita nekushanda, kana mazano ekushanda kutsva anogona kuzoshandurirwa kuita zvinhu zvebasa.

Iyo ficha yakasetwa yakatenderedza Hurukuro yave yakakurumbira nemapurojekiti akavhurika kwenguva yakati rebei. Mamwe masangano anogona kunetsekana kuona kubatsira kwekushandisa Hurukuro kana paine maturusi ekutaurirana agara aripo. Sezvo masangano akura, kukwanisa kupatsanura kutaurirana kunoenderana nechaiwo maficha uye kushanda kwesoftware, uyezve kuendesa idzo kuburikidza neNhaurirano dzine hukama nenzvimbo yakatarwa, zvinogona kupa vanogadzira, varidzi vezvigadzirwa, uye vashandisi vekupedzisira kugona kupindirana zvakasimba munharaunda yakanangana nemaitiro avanoda kuona zvichiitwa.

Artifact lifecycles
Artifact manejimendi chimwe chinhu chiri pakati pese software yekuvandudza hupenyu. Kunyangwe iri muchimiro chezvinoitwa, mabhinari, dynamically akabatana maraibhurari, static web kodhi, kana kunyangwe kuburikidza neDocker mudziyo mifananidzo kana Helm machati, kuve nenzvimbo yepakati apo zvese zvigadzirwa zvinogona kunyorwa uye kudzoserwa kuti zviendeswe kwakakosha. GitHub Packages inobvumira vanogadzira kuchengetedza akamisikidzwa mapakeji mafomu ekugovera mukati mesangano kana bhizinesi.
GitHub Packages inotsigira zvinotevera:

Maven

Gradle
npm
Ruby

NET
Docker mifananidzo

Kana iwe uine zvigadzirwa zvisingawire mumapoka iwayo, unogona kuzvichengeta uchishandisa Releases chimiro mune repository. Izvi zvinokutendera kuti ubatanidze inodiwa mabhinari kana zvimwe files sezvinodiwa.

Managing quality
Kuedza chikamu chakakosha chekuvandudzwa kwesoftware, ingave iri kuita yuniti kana bvunzo dzekushanda panguva yekuenderera mberi kwekubatanidza kuvaka kana kuve nevanoongorora zvemhando yepamusoro vanomhanya kuburikidza nebvunzo mamiriro ekusimbisa mashandiro mukati web application. GitHub Zviito zvinokutendera kuti ubatanidze akasiyana emhando dzakasiyana dzekuyedza mumapaipi ako kubatsira kuona kuti mhando iri kuongororwa.
Pamusoro pezvo, GitHub Copilot inogona kupa mazano ekunyora kwakanakisa bvunzo dzeyuniti, kutora mutoro wekugadzira unit kana mamwe marudzi ebvunzo kubva kuvagadziri uye kuvabvumira kuti vatarise zvakanyanya padambudziko rebhizinesi riripo.

Kukwanisa kubatanidza zviri nyore zvakasiyana-siyana zvekuyedza zvinobatsira kuona kuti mhando inoongororwa mukati mehupenyu hwebudiriro. Sezvambotaurwa, unogona kushandisa cheki mukati meGitHub Actions workflows kusimbisa mamwe mamiriro. Izvi zvinosanganisira kukwanisa kumhanyisa yakazara suite yebvunzo usati wabvumidza chikumbiro kuti chibatanidzwe. Zvichienderana nestage deployment, unogona zvakare kudoma macheki anosanganisira bvunzo dzekubatanidza, kuremerwa uye kushushikana bvunzo, uye kunyangwe mhirizhonga bvunzo kubatsira kuona kuti zvikumbiro zvinopinda nepapombi yekuendesa zvinoyedzwa zvakafanira uye zvinosimbiswa zvisati zvaitwa mukugadzira.

Mhedziso
Sezvo iwe uchironga matanho anotevera murwendo rwako, zvakakosha kuti ufunge nezvekuenderera mberi nekuunza mabhenefiti eAI uye kuchengetedzeka kune yako DevOps maitiro kuitira kuunza yemhando yepamusoro kodhi yakachengeteka kubva pakutanga. Nekugadzirisa mabhodhoro ekugadzira uye kubvisa mbavha dzenguva, unogona kupa mainjiniya ako simba rekushanda nemazvo. GitHub yakagadzirira kukubatsira kuti utange, zvisinei kuti ndedzipi mhinduro dzauri kuvaka kana kuti ndeipi chikamu chekuongorora chauri mairi. Kungave kuri kushandisa GitHub Copilot kusimudzira ruzivo rwemugadziri, kuchengetedza chimiro chako chekuchengetedza, kana kuyera nekuvandudzwa kwegore, GitHub yakagadzirira kukubatsira nhanho dzese dzenzira.

Matanho anotevera
Kuti udzidze zvakawanda nezve GitHub Enterprise kana kutanga yako yemahara kuyedza, shanya https://github.com/enterprise

FAQ

Mubvunzo: AI ingashandiswa sei muDevOps?
A: AI muDevOps inogona kuita otomatiki mabasa, kuwedzera kuchengetedzeka nekuchengetedza kodhi, uye optimize yekupedzisira-kusvika-kumagumo software lifecycle manejimendi.

Mubvunzo: Ndezvipi zvakanakira kushandisa AI muDevOps?
A: Kushandisa AI muDevOps kunogona kutungamira mukuwedzera kushanda zvakanaka, kuvandudzwa kwekodhi yemhando, kukurumidza mhinduro kutenderera, uye kudyidzana kuri nani pakati penhengo dzechikwata.

Mubvunzo: DevOps inobatsira sei masangano kuti arambe achikwikwidza?
A: DevOps inogonesa masangano kuti akurumidze kuburitsa kutenderera, kunatsiridza kuvimbika, uye kutyaira hunyanzvi, zvichivabvumira kuchinjika nekukurumidza kukuchinja kwemusika uye kupfuura makwikwi.

Zvinyorwa / Zvishandiso

GitHub AI-powered DevOps ine GitHub [pdf] Bhuku reMushandisi
AI-powered DevOps ine GitHub, AI-powered, DevOps ine GitHub, ine GitHub, GitHub

References

User Manual

AI-powered DevOps ine GitHub

Chii chinonzi DevOps?