Lokhu okuthunyelwe kwesivakashi kubhalwe ngokuhlanganyela ngu-Angela Mapes kanye no-Adam Walker wase-Aderant.
U-Aderant, umhlinzeki ohamba phambili womhlaba wonke wesoftware yokuphatha ibhizinisi ebanzi embonini yezomthetho, uguqule indlela ithimba labo labantu abangu-38 Cloud Engineering lisekela i-Expert Sierra, isixazululo sayo sokuphatha umkhuba wezomthetho esisekelwe emafini. Ngokusebenzisa i-Amazon Quick, i-Aderant iye yasheshisa izinqubo zokubhala futhi yanika ithimba layo lobunjiniyela Bamafu amandla ukuze lilethe ukusekelwa okusheshayo, nokusabela kakhudlwana kumakhasimende athembele ku-Expert Sierra emisebenzini yawo yansuku zonke.
Kulokhu okuthunyelwe, sabelana ngokuthi i-Aderant isebenzise kanjani amandla e-AI-powered e-Amazon Quick ukuhlanganisa ukusesha kuzo zonke izinhlelo eziyisithupha zabathengisi nokwenza ngokuzenzakalela ukuhamba komsebenzi kwemibhalo, ifinyelele izikhathi zokucinga ngokushesha ezingamaphesenti angama-90 kanye nokusheshisa kwemibhalo okungamaphesenti angama-75, nokuthi abanye bangazisebenzisa kanjani lezi zindlela ekusebenzeni kwabo.
Inselele: Ulwazi olusabalele kuzo zonke izinhlelo eziyisithupha
Ithimba le-Aderant's Cloud Operations libhekane nenselele evamile kodwa ebalulekile: ulwazi olubalulekile lwasakazwa kumasistimu amaningi anqanyuliwe. Onjiniyela abasekela inkundla ye-Expert Sierra kwakudingeka bacinge kumadeshibhodi amaningi ukuze bathole izimpendulo ababezidinga. Lokhu kuhlukana kwadala ukungqubuzana okukhulu kokusebenza. Ukusesha okwenziwa mathupha kuwo wonke lawa masistimu kudle imizuzu engama-30–45 ngomsebenzi ngamunye, kwehlisa ukusabela kwenkinga kanye nezikhathi zokuxazulula inkinga. Ngamathikithi okusekelwa angaphezu kwama-200 afikayo nokuzibophezela ekusekelweni kwansuku zonke kokusebenza komhlaba wonke, lokhu kubambezeleka kuhlanganiswe ngokushesha. Onjiniyela bachithe isikhathi esibalulekile bezingela ulwazi kunokuba baxazulule izinkinga, futhi babeka engcupheni yokulahlekelwa umongo obalulekile kumadokhumenti ahlakazekile. I-Aderant idinga isisombululo esingahlanganisa ukusesha kuzo zonke izinhlelo zayo zolwazi eziyisithupha, izenzele ngokuzenzakalelayo imisebenzi yamadokhumenti ephindaphindwayo, futhi ihlanganise namathuluzi ayo akhona, ngaphandle kokudinga izinyanga zokuthuthukisa ngokwezifiso.
Isixazululo: Usesho olunamandla e-AI kanye ne-automation yokuhamba komsebenzi
Ngo-Okthoba 2025, i-Aderant yafaka Ngokushesha, yaqala ngomshayeli we-CloudOps Helper bot. Ukuqaliswa kwakushesha, nokuthunyelwa okugcwele kanye nokukhishwa kwesandiso se-Chrome kwaphothulwa ngoNovemba 2025. NgoFebruwari 2026, impumelelo ngethimba le-CloudOps yaholela ekwandeni nge-Support Helper bot yenhlangano Yokusekela Umkhiqizo, okuletha amakhono asheshayo kumalungu eqembu engeziwe angu-86. I-CloudOps Helper bot yaba ingqikithi yesixazululo, ihlinzeka ngamasistimu abo olwazi anamandla ayisithupha e-AI. Onjiniyela manje sebengabuza imibuzo yolimi lwemvelo futhi bathole izimpendulo ezifanele ezithathwe kumadokhumenti e-Confluence, amafayela e-SharePoint, amakhosombe e-Git, amathikithi e-Jira, izingxoxo zamaQembu, namadeshibhodi e-QuickSight, konke kusuka kusixhumi esibonakalayo esisodwa.
Ithimba lixhume amasistimu alo amakhulu ayisithupha kanye namaseva amathathu e-MCP esebenzisa ukuhlanganiswa okwakhelwe kuqala, aqala ukusebenza phakathi namaviki kunezinyanga. Ukuphathwa kokuvikela okwakhelwe ngaphakathi kwenkundla, okuhlanganisa nosekelo lwe Okta SSO futhi IAMisuse isidingo sezilawuli zokufinyelela ngokwezifiso, kuyilapho amandla okusesha ahlanganisiwe asebenza ngaphandle kwebhokisi ngaphandle kokudinga ukuthuthukiswa kwe-UI yangokwezifiso.
Inothi elibalulekile ekusetshenzisweni kwedatha: I-CloudOps Helper ihlaziya kuphela idatha ye-Aderant yokusebenza nengqalasizinda etholakala ku-Confluence, SharePoint, Git repositories, Jira, Microsoft Teams, kanye namadeshibhodi e-QuickSight. Le datha ikhawulelwe kungqalasizinda ye-AWS kanye nezinsiza zethimba le-CloudOps ezisetshenziselwa ukusekela nokugcina inkundla ye-Expert Sierra. I-Aderant ayifinyeleli noma ihlaziye noma iyiphi idatha yohlelo lokusebenza lweklayenti noma ulwazi lwebhizinisi leklayenti.
Ngale kokusesha, i-Aderant isebenzise i-Amazon Quick Flows ukuze yenze ngokuzenzakalelayo ukwakhiwa kwesisekelo solwazi. Ukugeleza komsebenzi okuzenzakalelayo kuhlanganisa ukutholwa okuyimpinda ukuvimbela okuqukethwe okungafuneki, ukunciphisa isikhathi sokudala i-athikili ukusuka ehoreni elilodwa ukuya kumaminithi angu-15—ukonga isikhathi okungamaphesenti angu-75. Lokhu kuzenzakalela kugcine ikhwalithi ngokusebenzisa indlela yokuqonda komuntu, iqinisekisa ukuthi onjiniyela bayabuyekeza futhi bagunyaze okuqukethwe ngaphambi kokushicilelwa.
Ithimba liphinde lasebenzisa i-Amazon Quick Research ukuze kuhlaziywe imbangela efunwayo kanye nokutholwa kwephethini, njengokuhlaziya amaphethini okusetshenziswa kwe-bot kuwo wonke ama-CloudOps Helper nama-Support Helper bots, ukuhlonza izihloko ezivame kakhulu ezibuzwa yiqembu. Le mininingwane yazisa ngokuqondile ukuthuthukiswa kwesisekelo solwazi, okugqamisa izindawo lapho imibhalo idinga ukucaciswa okwengeziwe noma ukufakwa. I-Amazon Quick Spaces iphinde yasetshenziselwa ukuhlanganisa izisekelo zolwazi, kanye namadeshibhodi ahlanganisiwe e-Amazon QuickSight okuhlaziya i-alamu ye-Amazon CloudWatch nokuqapha impilo yesiqashi. Isandiso se-Quick Chrome sibe yithuluzi lansuku zonke, esinikeza ukufinyelela kulawa makhono kuwo wonke umsebenzi weqembu
Umthelela womhlaba wangempela: Ukuxazulula izinkinga ezibalulekile zengqalasizinda
Inani le-Quick lacaca cishe ngokushesha phakathi nenkinga enkulu yokuxhumana. Iklayenti lihlangabezane nokuhluleka kokwethenjwa kwesizinda—ukuxhumana phakathi kwamanethiwekhi avumela abasebenzisi ukuthi bagunyaze futhi bangene. Lapho lokho kuthembana kwephulwa, abasebenzisi abakwazanga ukufinyelela amasistimu noma amasevisi abebethembele kuwo. Inkinga yasabalala ngokushesha, okubangela ukuhluleka kokuqinisekisa okusabalele kuwo wonke amasevisi amaningi nokukhiya abasebenzisi ngaphandle ngesilinganiso. Ngenxa yokuthi udaba lwalubandakanya amathikithi amaningi, imihlangano, nonjiniyela, kube nzima ukuhlanganisa umlando ogcwele wokuxazulula izinkinga ngaphandle kokuphinda umsebenzi.
Unjiniyela uphendukele ku-CloudOps Helper bot, eyicela ukuthi ihlaziye umlando ophelele wokubandakanyeka kweklayenti. I-bot isebenzise i-Microsoft Teams MCP Server ukuze ifinyelele imibhalo yomhlangano kanye nokuhlanganiswa kwe-Jira ukuze ikhiphe ulwazi kumathikithi ahlobene. Ngaphakathi nemizuzu, ihlanganise umlando ophelele wokubandakanya, ihlinzeka ngemininingwane ephelele yemihlangano kuwo wonke amathikithi, izifinyezo zengxoxo ezisuse isidingo sokubuyekeza amahora okurekhodiwe, umugqa wesikhathi wokulandelana kwazo zonke izinyathelo zokuxazulula inkinga ezanyiwe, futhi watusa izenzo ezilandelayo ezisekelwe kumongo ophelele. Obekungathatha amahora wokucwaninga ngezandla kwaqedwa ngemizuzu. Onjiniyela bagxile ezixazululweni ezingakazanywa ngaso leso sikhathi, ukusheshisa ukulungiswa nokuthuthukisa ulwazi lwamakhasimende. Le nguqulo eyodwa ibonise ukuthi ukusesha okuhlangene, okunamandla e-AI kungathuthukisa kanjani izimo eziyinkimbinkimbi zosekelo lobuchwepheshe.
Imiphumela engabazekayo: Izinzuzo ezisebenza kahle kakhulu
Ukubuza imithombo yedatha eminingi ngesikhathi esisodwa nokwenza imisebenzi eqondile kanjiniyela Wamafu kususe umzamo oyimpinda futhi kwasheshisa uphenyo. Lokhu kulondoloza isikhathi sombuzo ngamunye kukala kumakhulu amathikithi osekelo lwangeviki, ukushayela ukulungiswa okusheshayo nemiphumela engcono.
Ukuthuthukiswa kokuhamba komsebenzi okukhethekile kufaka ukuncishiswa kwamaphesenti angama-95 esikhathini socwaningo lomlando wamakhasimende, ukwehla ukusuka emahoreni angama-2-4 kwehle kuye kwangama-2-3. Ukusesha kwe-cross-platform kuthuthukiswe ngamaphesenti angaphezu kwangu-90, kwehle kusuka kumaminithi angu-30-45 kuya kumaminithi angu-3-5. Ukwakhiwa kwamadokhumenti kusheshiswe ngamaphesenti angu-75–85, futhi ukuhlaziya imbangela yaba ngokushesha ngamaphesenti angu-60–70. Umthelela wombhalo ubumangalisa kakhulu. Ithimba likhulise okukhiphayo ngamaphesenti angu-200, likhiqiza ama-athikili asekelwe olwazini oluphindwe kathathu kunangaphambili. Ukubhalwa phansi kwemibhalo kwehlile kusuka kuma-athikili angaphezu kuka-40 kuya ngaphansi kwezingu-10. Njengoba isikhathi sokudala izihloko sincishisiwe sisuka cishe ehoreni elilodwa ukuya emaminithini angu-15, onjiniyela bangakwazi ukuthwebula ulwazi ngokushesha kuyilapho umongo usemusha, uthuthukisa ikhwalithi yamadokhumenti nokuphelela.
Izilinganiso zokutholwa zibonisa inani lesixazululo eqenjini. I-CloudOps Helper izuze ukusetshenziswa okusebenzayo okungamaphesenti angama-95 phakathi kwethimba lonjiniyela labantu abangama-38, kanti uMsizi Wokusekela ufinyelele cishe ukutholwa kwamaphesenti angama-80 phakathi nesigaba sokuhlola. Isandiso se-Chrome sibona ukusetshenziswa kwansuku zonke komhlaba wonke, futhi Ngokushesha sigcina isikhathi esingaphezu kwamaphesenti angama-99.
Uguquko ngaphezu kokusebenza kahle
I-Quick yenze amakhono abekade engenakwenzeka ngaphambili noma angasebenzi. Ithimba manje lenza ukuhlaziya okujulile kwamaphethini we-alamu ye-Amazon CloudWatch, lihlonza izitayela zomlando kuwo wonke amakhasimende, futhi lenze izinqumo zokuthuthukisa ingqalasizinda esekelwe idatha. I-Quick Flows izenzela amadokhumenti kuyilapho igcina ikhwalithi ngokubuyekezwa komuntu nokutholwa okuyimpinda. Ucwaningo Olusheshayo luhlinzeka ngobuhlakani benkundla yonke obebungatholakali ngaphambilini, olusiza ukuhlaziya ukuzibandakanya kwamakhasimende kuwo wonke amathikithi amaningi kanye nokuxazululwa kwezinkinga ngaphambi kokukhuphuka.Ukuphathwa kolwazi kushintshe ngezindlela ezibalulekile. Isizinda solwazi esihlukene sisusiwe, futhi izinqubo zokubhala ezilula zikhuthaza ukuthwebula ulwazi ngokushesha. Indlela ye-human-in-the-loop igcina ikhwalithi ngenkathi isheshisa okukhiphayo kakhulu. Ukusebenzisana kuthuthukile eqenjini losuku lonke lomhlaba wonke. Umongo wokuxhumana obumbene ovela kumaQembu, ukubonakala kwamathikithi ahlukene okususa ama-silo olwazi, kanye nokunikezwa okusheshayo ngaphandle kwemihlangano yesimo ende konke kunomthelela ekusebenzeni okuphumelelayo kakhudlwana. Ukufinyelela kolwazi okungaguquki kuzo zonke izindawo zesikhathi kusize ithimba lomhlaba wonke ukuthi lisebenze ngolwazi olufanayo kungakhathaliseki indawo.
Ukubheka phambili: Ukwandisa i-automation nokuhlanganiswa
Impumelelo ka-Aderant nge-Quick idale umfutho wokunwetshwa okwengeziwe. Umsizi Wokusekela usuka ekuhlolweni okungamaphesenti angu-10 uya ekusetshenzisweni okugcwele, futhi ukusebenzisana kweqembu elihlukahlukene phakathi kwe-CloudOps Nokwesekwa kuyaqhubeka kwanda.Ithimba likhombe Ukugeleza Okusheshayo okusha okuthathu okuzothuthukiswa. Ukuzenzakalela kokuthatha inothi kuzokhiqiza ngokuzenzakalelayo amanothi omhlangano ahlelekile avela ezingxoxweni zamaQembu. Ukwakhiwa kwamathikithi e-Jira kuzoshintsha ukukhiqizwa kwamathikithi ezingxoxweni nasemicimbini. Isihluzi semibuzo yethikithi sizohlola kuqala amathikithi e-CloudOps ukuze aphelele ngaphambi kokungena kulayini, ukuze onjiniyela babe nolwazi abaludingayo ukuze baxazulule izinkinga ngendlela efanele.
Isiphetho
Uhambo luka-Aderant no-Quick luwubufakazi bokuthi kungani ukusesha kukodwa kungenele. Nakuba ukubuyiswa kolwazi ngokushesha kwakuyisiqalo, uguquko lwangempela lwavela ekuhlanganiseni ukusesha okunamandla e-AI nokuzenzakalela kokugeleza komsebenzi okuhlakaniphile kususa ukuhlukaniswa kolwazi, ukwenza imisebenzi ephindaphindwayo ngokuzenzakalela, nokunikeza ukufinyelela okuhlangene olwazini kuzo zonke izinhlelo eziningi. Ngokuhlangene, lawa makhono asize i-Aderant ukuthi iphinde ithole izinkulungwane zamahora ngonyaka, isheshise izikhathi zokuphendula kosekelo, futhi ithuthukise ngokuyisisekelo indlela iqembu labo lomhlaba wonke elisebenzisana ngayo futhi labelane ngalo ngolwazi. Ukwengezwa kwe-Quick Flows kubonakale kunomthelela ikakhulukazi, okwenza ithimba likwazi ukwenza ngokuzenzakalelayo izinqubo zezinyathelo eziningi ezake zadinga umzamo obalulekile owenziwa ngesandla kusukela ekwenziweni kwamadokhumenti kuya emzileni wamathikithi kanye nokulandela isixazululo.
Imiphumela iyazikhulumela: ukusesha okusheshayo okungamaphesenti angama-90, imibhalo eshesha ngamaphesenti angama-75, ukutholwa kwamaphesenti angama-95, kanye nezindleko ezincane phakathi nezinyanga eziyisikhombisa. Ezinhlanganweni eziye zazama ukusesha futhi ezisazwa ukungqubuzana, okuhlangenwe nakho kuka-Aderant kwenza indaba icace: impumelelo yangempela ifika lapho ukusesha nokusebenza ngokubambisana.
Ukuze ufunde kabanzi nge-Amazon Quick nokuthi ingashintsha kanjani ukusebenza kwenhlangano yakho, vakashela iwebhusayithi ye-Amazon Quick.
Mayelana nababhali
