I Ukwethulwa kwenguqulo entsha ye-"Nextcloud Hub 26" Winter, okuhlukana nokubhala izinombolo okuvamile ukuze kwamukelwe uhlelo olusekelwe onyakeni kanye nesizini.
Lokhu kubuyekezwa akugcini nje ngokwenza kube lula ukudluliselwa kwedatha phakathi kwamaseva (ngohlelo lokusebenza olusha oluzinikele ekungeniseni nasekuthumeleni ama-imeyili, izincwadi zamakheli, amakhalenda, kanye namaphrojekthi wonke), kodwa futhi kwandisa ukufinyelela kwenethiwekhi yalo ehlanganisiwe. Manje, i-ecosystem ivumela abasebenzisi abavela kumaseva angaphandle ukuthi bahlanganiswe ngqo ezingxoxweni zeqembu, amabhodi okuhlela ama-Deck, kanye nemicimbi, esekelwa uhlelo lokukhiya amafayela oluhlanganisa amaseva ahlukene oluvimbela izingxabano ngesikhathi sokuhlela ngokubambisana ngasikhathi sinye.
Izici ezintsha eziyinhloko ze-Nextcloud Hub 26 Winter
Umqondo we "Inethiwekhi Ehlanganisiwe" iyinhloko yalesi sibuyekezoKuze kube manje, ukuba neseva yakho ye-Nextcloud kuqinisekisile ubumfihlo, kodwa kuvame ukuhlukanisa amaqembu avela kwamanye amazwe. Ngenguqulo 26 yasebusika, leyo mingcele iyanyamalala: Abasebenzisi beseva manje sebengakwazi ukuxhumana ngokwendabuko nabasebenzisi ababanjwe kumaseva e-Nextcloud ahluke ngokuphelele.
Lo mfelandawonye udlulela ngale kokwabelana ngamafayela okulula noma izingxoxo eziyisisekelo; manje uhlanganisa umkhiqizo oyinhloko wesuite. Abahlanganyeli bangaphandle bangafakwa kumabhodi eKanban ukuze bahlele iphrojekthi (i-Nextcloud Deck), bamenywe emicimbini yekhalenda eyinkimbinkimbi, futhi bangezwe ezindaweni zokusebenza ze-Nextcloud Teams. Ukuqinisekisa ukuthi lokhu kubambisana kweseva ehlukahlukene akubangeli isiphithiphithi, kusetshenziswe uhlelo lokukhiya amafayela enethiwekhi ehlukahlukene ukuvimbela ukubhala ngaphezulu kwedatha lapho abasebenzisi kumanethiwekhi ahlukene behlela idokhumenti ngasikhathi sinye.
Ngaphezu kwalokho, ngokufika kwale nguqulo entsha, okulandelayo kuvelele: ukusetshenziswa kokubethela kusukela ekuqaleni kuya ekugcineni iphathwa ngqo ohlangothini lwesiphequluli. Lolu ngqimba lokuphepha Ikuvumela ukuthi ulungiselele amalungelo okufinyelela ngamanye futhi udale izixhumanisi zokulanda eziphephile. ngaphandle kokuthembela ku-backend, ehambisana nesistimu yokulebula ezenzakalelayo ehlukanisa amafayela ayimfihlo ngokwezakhiwo zawo kanye ne-metadata ngesikhathi sangempela.
Ngasohlangothini lwezokuxhumana, I-Nextcloud Talk ivuthwa ngokufaka ukuphina imiyalezo okunesikhathi esinqunyelwe kanye nokuthumela okuhleliwe. Imihlangano yevidiyo ithola nokuthuthukiswa ngenxa yobuhlakani bokwenziwa, okunikeza ukuqoshwa kwezwi kanye nokuhumusha okusheshayo, kanye nokulungiswa kokulinganisa ivolumu kanye nokunciphisa umsindo emihlanganweni emikhulu.
I-Las Amathuluzi okukhiqiza ahlanzekile athola izibuyekezo eziguqula amandla omsebenzi wezobuchwepheshe nowezemfundo. I-Nextcloud Thumela umbhalo manje Kufaka phakathi ukwesekwa kwendabuko kwe-LaTeX markup, Ukunikeza indawo enganqobeki yokubhala amadokhumenti esayensi noma ukuxazulula izibalo eziyinkimbinkimbi zokubala ezihlukile, ukuhlanganisa imikhawulo kanye ne-derivatives ngaphandle kokuphazamisa ukuhamba komsebenzi noma ukuthembela kubahleli bangaphandle. Okwamanje, uhlelo lokusebenza lwe-Whiteboard lushintsha lube yikhanvasi esebenzisana ngempela. Ngokungezwa kwezimpendulo, amathebula, izikhathi, kanye nomlando wenguqulo oguquguqukayo, iba yindawo efanelekile yokudweba amamodeli aqondiswe ezintweni noma ukuklama imidwebo ye-UML ngesikhathi sangempela kanye nabanye abathuthukisi. Ngesikhathi esifanayo, I-Nextcloud Office yethula umbono ohambisanayo wokuqhathanisa amadokhumenti kanye nemodi entsha yokuphequlula yezinguquko ezisheshisa ukubuyekezwa kwekhodi kanye nemibiko.
Ngaphansi, Injini entsha ye-ADA iyagqama (Isinqamuleli Esisheshisiwe) siguqula ukuphathwa kwemvume ngokuhlanganisa izingxenye ezibhalwe ku-PHP, Go, kanye ne-Rust. Le njini Isebenzisa izihlonzi ze-Snowflake ukuze ithuthukise ukuthengiselana ezingeni lesizindalwazi. futhi ivumela ukulayishwa okuqondile kwezinsizakusebenza kusuka kusitoreji se-S3. Ngesikhathi esifanayo, i-High-Performance Backend (HPB) evuselelwe, ebhalwe kabusha ku-Rust yokuphathwa kwamafayela naku-Go for Nextcloud Talk, ifinyelela ukwehla okumangalisayo okungu-80% kwethrafikhi yenethiwekhi phakathi kweklayenti neseva kanye nokwehla okungu-40% kumthwalo weseva iyonke. Ngisho nemisebenzi edinga izinsizakusebenza eziningi, njengokukhiqiza izithonjana zezithombe, ibone ukusetshenziswa kwayo kwezinsizakusebenza kwehla kufika ku-90%.
La Ukuhlanganiswa kwe-AI kuyanda ngendlela ehlolwayoUkwengeza amathegi okusetshenziswa kokuqukethwe okukhiqizwe kanye nokulondoloza umlando wokuxhumana nabasizi ababonakalayo kuthuthukise kakhulu ukusebenza. Amamodeli asetshenziswa endaweni ukuze kukhiqizwe umbhalo, ukuhlanganiswa kwenkulumo, kanye nokuhumusha nawo athole ukuhambisana namathuluzi e-Olmo 3, IBM Watsonx, kanye ne-OpenAI. Wonke lawa mandla okuhlaziya nokuphatha manje ahlanganiswe nezinhlelo zokusebenza zeselula ze-iOS kanye ne-Android ezilungiselelwe ngokujulile, ezifaka ingxoxo ye-Nextcloud Assistant futhi zivumela ukuxhumana okusheshayo nokuphephile ngamakhodi e-QR, kuqedela ipulatifomu ephelele.
Okokugcina, uma ungathanda ukwazi okwengeziwe ngayo, ungabheka imininingwane Kulesi sixhumanisi esilandelayo.