Juniper Full Stack Input, Maximum Output

MOSEBETSI TS'ELISO

Kenyelletso e Felletseng ea Stack, Sephetho se Phahameng:

Mokhoa oa ho sebelisa AI hamolemo ho Marang-rang

Ho sebelisa matla a marang-rang a marang-rang a tsoetseng pele ho fana ka liphihlelo tse ikhethang

 

Ho nahana hape camprona le marang-rang a lekala bakeng sa mehla ea AI

Baokameli ba phahameng lefats'eng ka bophara ba fane ka litaelo tsa mekhatlo ea ho tsamaisa bohlale ba maiketsetso (AI) khoebong eohle. Ba ikemiselitse ho fetola ts'ebetso le ho kenya chelete e patiloeng. Mme barekisi ba mafapha ohle, ho kenyeletsoa le marang-rang a IT, ba labalabela ho sebelisa monyetla ona.

Bakeng sa baetapele ba marang-rang ba laolang lintho tse rarahaneng le tse theko e boima camprona le tikoloho ea makala, ho hlahile lipotso tsa bohlokoa:

• Ke li-advan tse kaetagna AI e hlile e ka lopolla?
• Ke mamello efe e nepahetseng ea likotsi?
• Ke tsela efe e molemo ka ho fetisisa ea ho ntlafatsa liphetho?

Ka likhetho tse ngata tse fumanehang bakeng sa ho romelloa, linnete tse hlahisoang ke ponelo-pele ea barekisi, bokhoni le boitseanape li bohlokoa ho feta leha e le neng pele. Mme barekisi ba batlang AI ba arotsoe ka mekhahlelo e 'maloa e pharaletseng, ho kenyelletsa:

• Barekisi ba Siloed, ba niche ba nang le bokhoni bo fapaneng ba AI ba sa khoneng ho fana ka stack e felletseng camprona le kopanyo ya lekala
• Barekisi ba nang le litharollo tse fapaneng tsa bolt-on AI tse thehang leshano la ts'ebetso e felletseng ea stack.
• Barekisi ba nang le meaho e netefalitsoeng e felletseng e etselitsoeng ho tloha fatše ho fihlela bokhoni bo felletseng ba AI.

Ithute haholoanyane ka juniper's AI-Native le cloud-native full stack solution portfolio.
Ithute haholoanyane →

E qetellang e emela phetoho ea bohlokoa ho marang-rang:

Khokahano e tiileng lipakeng tsa likarolo tsa marang-rang tse tsoetseng pele ka ho fetesisa le likarolo tse ncha tsa AI-Native li lebisa ho opereishene e ntlafetseng le liphihlelo tsa mosebedisi-ho hlalosa bocha hore na lentsoe "full stack" le bolela eng sebakeng sa kajeno sa marang-rang.

Juniper o lumela hore marang-rang a mehleng ea kajeno a holimo-limo a li-stack a lokela ho ba mahlahahlaha a maholo le ho senyeha ho ts'ehetsa litlhoko tse tsoelang pele tsa likhoebo. 'Me li lokela ho kenyelletsa bokhoni ba AI le boits'oaro bo nolofatsang taolo le litšenyehelo tse fokolang ha li ntse li ntlafatsa le ho boloka boiphihlelo ba basebelisi ho tloha qalong ho isa qetellong.

Ebook ena e akaretsa pale e ntseng e tsoela pele. E lekola karolo ea datha ho marang-rang a AI le boleng ba ho hokahanya maemo a khoebo, tharollo e felletseng. E boetse e hlahloba bohlokoa ba lisebelisoa tsa boleng ba boleng ho netefatsa tlhahiso e kholo ea tharollo ea AI ho marang-rang a IT.

Ha re qaleng

max·i·mum out·put [lebitso]

Katleho ea ts'ebetso le ts'ebetso e phahameng ka ho fetesisa ts'ebetsong ea marang-rang, e khetholloang ka ho fana ka liphihlelo tse ikhethang le tse sireletsehileng tsa basebelisi ho pholletsa le marang-rang a LAN le a WAN. Sena se kenyelletsa tekanyo ea phetoho le mahlahahlaha, likamano tse betere, ts'ebetso e nolofalitsoeng, le ho fumana TCO e tlase le OpEx.

Key takaways

Ka bokhoni bo kang bo-analytics le tlhokomelo, boits'oaro, le leihlo le bohlale la marang-rang, AI e hlahile e le matla a fetohang marang-rang. Ho camprona le libaka tse ajoang tsa makala, mokhoa o nepahetseng oa "full stack" o ka fokotsa ho rarahana le litšenyehelo.

1. Palo ea 'nete e felletseng e feta "meralo"
Leano la sejoale-joale le sebelisa mokhoa o kopaneng oa hardware le software (ho kenyeletsoa le AI), e tšehelitsoeng ke 100% e bulehileng ea API ea meralo ho tsamaisa ts'ebetso le ho ntlafatsa boiphihlelo.

2. AI ka marang-rang e na le tšusumetso e phahameng, kotsi e tlaase
AI ho marang-rang e hlahella ka bokhoni ba eona ba ho fana ka litlamorao tse potlakileng, tse tsitsitseng le tsa bohlokoa ho basebelisi le IT.

3. Mefuta e metle ka ho fetisisa, e tletseng stack e eketsa tlhahiso
Ho bokella le ho sebelisa likenyelletso tse tsoang ho LAN, WAN, ts'ireletso, le ho feta bakeng sa AI ho fana ka menyetla e neng e e-so ka e bonoa.

4. Ponelo-pele le khōlo ke taba
Ho bohlokoa ho sebelisa li-algorithms tsa mahlale a batho ba holileng le ho tsoela pele ho ithuta ho sete ea data e hlophisitsoeng hantle.

5. Mokhatlo o tsebisa 'mino o tsoelang pele
Ka ntle ho mekhahlelo ea theknoloji, tlhophiso e nepahetseng le 'mino oa liletsa ka har'a lihlopha tsa barekisi ke tsa bohlokoa.

6. AI-Native full stack outperforms
Juniper e fana ka tharollo feela ea indasteri ea AI-Native le ea marunative e ka fetolang menyetla ea marang-rang.

Litšitiso tse kholo ho katleho ea NetOps li kenyelletsa shortage ea basebetsi ba nang le boiphihlelo, lisebelisoa tse ngata tsa taolo, boleng bo bobe ba marang-rang, le khaello ea ponahalo ea marang-rang, ho latela thuto ea EMA.

Hoo e ka bang 25% ea lihlopha tsa ts'ebetso ea marang-rang li ntse li sebelisa pakeng tsa lisebelisoa tsa 11-25 bakeng sa ho beha leihlo, tsamaiso le ho rarolla mathata.

30% ea mathata a marang-rang a bakoa ke liphoso tsa matsoho

Tšepiso e ke keng ea hanyetsoa ea AI ho marang-rang

Kajeno camprona le marang-rang a makala a sebetsa joalo ka tsamaiso ea potoloho le methapo ea khoebo.
Ba tsamaisa phallo ea bohlokoa ea data mme ba thusa likarabo tse potlakileng, tse bohlale.
Khokahano e 'ngoe le e 'ngoe ea marang-rang e na le monyetla oa ho khanna tlhahiso le boqapi.
Leha ho le joalo ho boloka sena se hokahane web ha ho mohla e kileng ea e-ba phephetso ho feta.

Lihlopha tsa IT li tobane le litlhoko tsa khoebo tse ntseng li fetoha ka potlako. Ba tobane le bothata ba ho sireletsa libaka tsa tlhaselo tse ntseng li atoloha ho tsoa litšokelong tse rarahaneng. 'Me ba tlameha ho tobana le tlhaselo ea lisebelisoa tse ncha, mefuta ea likhokahano, le keketseho ea lits'ebetso tse tsamaisang litlhoko tsa bandwidth.

Ho leka-lekanya tlhokahalo ea ho lekanya khahlano le likhaello tsa lisebelisoa le likhakanyo tsa lichelete le khaello ea litsebo tse khethehileng feela ho kopanya ho rarahana.

Sebakeng sena, AI e hlahile e le matla a hlileng a fetolang marang-rang. Ha e le hantle, litharollo tsa marang-rang tsa AI tse tsoetseng pele ka ho fetisisa li se li ntse li fokotseha haholo, 'me maemong a mang, li bile li felisa lintlha tse ngata tsa bohloko tsa lefatše. Examptse ling li kenyelletsa:

• Litlhahlobo le tlhokomelo ea esale pele: Lisebelisoa tsa taolo ea marang-rang tse tsamaisoang ke AI li ka sekaseka data ea nako ea nnete le ho bolela esale pele litaba tse ka bang teng pele li etsahala. Sena se nolofalletsa ho lokisoa ka potlako le ho fokotsa nako ea ho theoha. E kenyelletsa ho tsebahatsa lits'oso tse ka bang teng tsa ts'ireletso, ho lemoha mefokolo, le ho ntlafatsa ts'ebetso ea marang-rang.
• Boiketsetso le 'mino oa liletsa: Oautomation e ntlafalitsoeng ea AI e thusa marang-rang ho ipholisa, ho itlhophisa le ho intlafatsa. Sena sohle se lebisa ho fokotseng ho kenella ka letsoho le ho eketseha ha katleho ka kakaretso ha ho ntse ho phahamisa boiphihlelo ba basebelisi le basebelisi. Lisebelisoa tsa orchestration tse tsamaisoang ke AI li ka boela tsa iketsetsa mekhoa e rarahaneng, e kang ho fana ka marang-rang le tsamaiso ea liphetoho.
• Tlhokomelo e bohlale ea marang-rang le litemoso: Lisebelisoa tsa ho lekola tse tsamaisoang ke AI li fana ka ponahalo ea nako ea nnete ts'ebetsong ea marang-rang mme li ka fana ka leseli le sebetsang le ho nolofalletsa ho etsa liqeto tse tsamaisoang ke data.

Litlhahlobo tse tsamaisoang ke AI li ka tseba mekhoa, li lemoha mekhoa, 'me tsa fana ka litlhahiso bakeng sa ho ntlafatsa, ts'ireletso le moralo oa bokhoni.

Le hoja mefuta ena ea bokhoni e le teng kajeno, ke mokhelo eseng mokhoa o tloaelehileng. Litharollo tse ngata ha li na kopanyo le lintlha tse hlokahalang ho fetola ts'ebetso ea letsatsi le letsatsi haholo.

"Haeba u batla ho iketsetsa tier 2/tier 3 moo u ikakhelang ka setotsoana sa marang-rang 'me u leke ho fumana hore na bothata ba [marang-rang] bo hokae le hore na u ka bo lokisa joang - ka sepheo se seholo, li-platform tsa AIOps tsa domain-agnostic ha li tsebe. etsa seo; ha se litsebi tsa mesebetsi ea matsoho.”

Shamus McGillicuddy, Motlatsi oa Mopresidente oa Lipatlisiso, EMA

04. Litaba tsa ho kenya

Tlhahiso e kholo e qala ka ho kenya data e nepahetseng

Ha ho tluoa tabeng ea ho ntša boleng bo feletseng ho AI le ho ithuta ka mochine (ML) ho marang-rang, bophahamo ba modumo, phihlello, boleng, nako, le ho sebetsa - le lisebelisoa tsa ho sekaseka le ho nka khato ea data - li bohlokoa. Ntle le moo, liketso tse matla tsa AI li ipapisitse le kutloisiso e felletseng ea maemo a hajoale.

Ho tseba hantle se etsahalang, moo se etsahalang, le hore na ke hobane'ng ha se etsahala ke habohlokoa bakeng sa ho fana ka likarabo tse nakong le tse nepahetseng. 'Me data ea boleng ke motheo oa ntho e' ngoe le e 'ngoe.

Joalo ka ha ts'ebetso ea ho theha veine e ikhethang e ipapisitse le lintlha tse fapaneng, tlhahiso ea data ea boleng bakeng sa AI ka ts'ebetso ea marang-rang e joalo. Joalo ka ha veine e hloka morara o nepahetseng, mobu le nako ea botsofali, botsebi ba marang-rang, ho sebetsa ka thata le mamello ke tsa bohlokoa bakeng sa ho holisa lisebelisoa tse fapaneng tsa data tse nang le tlhaiso-leseling e ngotsoeng hantle le e hlophisitsoeng hantle.

Mang kapa mang a ka bokella lintlha tsa motheo mabapi le bophelo bo botle ba marang-rang le ho li fepa ka mochine oa AI. Leha ho le joalo, ho khothaletsa AI e nang le tšusumetso e le kannete e khonang ho thusa boiphihlelo bo ikhethang ba mosebelisi le ho fokotsa menyetla e fosahetseng ho kenyelletsa lintlha tse ngata. Ho fihlela lipheo tsena, barekisi ba tlameha ho nahana ka ntho e 'ngoe le e' ngoe ho tloha ho sebopeho sa mokhatlo ho ea ho nts'etsopele ea hardware / software, spectrum data, le lisebelisoa tsa lisebelisoa. Ho feta moo, ho bohlokoa ho sebelisa li-algorithms tsa mahlale a mahlale a batho ba holileng tsebong le ho tsoela pele ho li-database tse hlophisitsoeng hantle.
Ho feta moo, ho eketsa tlhahiso ea AI ho marang-rang ho itšetlehile ka palo le bophara ba lisebelisoa tsa data. 'Me ke hona moo litharollo tse ngata tsa marang-rang tsa AI li fokolang. Hajoale, litharollo tse ling tsa marang-rang tsa IT li ka bokella data ho tsoa ho LAN, tse ling ho tsoa ho WAN. Empa ke litharollo tse fokolang tse ka kopanyang le ho sebelisa lintlha tse tsoang ho LAN le WAN (le ho feta) ka nepo - seo re se bitsang "stack e felletseng." Sena se totobatsa tlhokahalo ea bohlokoa ea ponelo-pele ea barekisi ho netefatsa ho kopanya le ho sebelisana.

Karolo ea ho kenya le ho tsoa bakeng sa ntlafatso ea marang-rang ea AI

LAN e ntle kapa WAN	LAN e betere le WAN	Boholo ba LAN, WAN, ts'ireletso, sebaka, le tse ling tse nang le bokhoni ba AI-Native
E fana ka e arohaneng view ea ts'ebetso ea marang-rang le ts'ireletso	E qala ho fana ka kakaretso ho feta view ea ts'ebetso ea marang-rang, e nolofalletsang litsamaiso tsa AI ho etsa liqeto tse nang le tsebo	E fana ka sete ea data e felletseng mme e fana ka pono ea pono view e nolofalletsang litsamaiso tsa AI ho fihlela bokhoni ba tsona bo felletseng
Sets'oants'o sa Melemo: Sekoahelo se lekanyelitsoeng se thibela melemo e ka bang teng, ho hlahisa lintlafatso tsa mantlha ts'ebetsong le ho lemoha litšokelo.	Sets'oants'o sa Melemo: E ts'ehetsa lintlafatso tse leka-lekaneng taolong ea marang-rang, ho fokotsa nako le ho tsebahatsa taba e thata ho feta.	Sets'oants'o sa melemo: • E matlafatsa AI ho ntlafatsa ts'ebetso ea marang-rang • E matlafatsa ts'ireletso ka tlhahlobo ea litšokelo tse boletsoeng esale pele • E fana ka boiphihlelo ba motho ka mong

Ho fetela ka nģ'ane ho mekhoa ea marang-rang ea AI ea setso ea barekisi ba bangata, mokhoa o feletseng oa AI-Native oa Juniper o emela moeli o latelang oa mekhoa e mecha ea marang-rang.

05. Ho ntlafatsa liphetho

Mokhoa oa AI-Native stack o ntlafatsang marang-rang joang

Ho fihlela hajoale, re se re hlokometse hore na ke hobaneng ha data ea boleng e le bophelo bo botle ba AI le hore na ke hobaneng ha tlhahiso e phahameng ea marang-rang e nka data ea boleng ho tsoa marang-rang. Potso e kholo e latelang ke: Ke mokhoa ofe o motle oa ho fumana le ho sebelisa data ea boleng boemong bo bong le bo bong ho ntlafatsa sephetho sa marang-rang?

Leano le molemo ka ho fetisisa le sebelisa mokhoa o kopaneng ka lisebelisoa tse etellang pele indastering le lisebelisoa tsa software-sephutheloana se felletseng-ho ntlafatsa ts'ebetso, ho ntlafatsa ts'ebetso, le ho ntlafatsa boiphihlelo ba basebelisi le polokeho. E tšehelitsoe ke leru la microservices le meralo ea API e bulehileng ea 100% ho atolohela ho litharollo tse ling tse etellang pele libakeng tsohle, joalo ka 5G, ITSM, sethala sa likhokahano, cybersecurity, le mobility.

Juniper e fetola pokello ea data e tloaelehileng ea marang-rang ka ho tšoara lisebelisoa tsa marang-rang e le li-sensor, ho nka lintlha tse fapaneng tse fapaneng ho tloha ho pholletsa le LAN le WAN, hammoho le ho kopanya ts'ireletso le lisebelisoa tse thehiloeng sebakeng. Bakeng sa mohlalaample, lintlha tsa bohlokoa tsa mokhoa oa rona li kenyelletsa (sheba leqephe la 12 bakeng sa setšoantšo se seholo):

• Telemetry e ntlafalitsoeng ea pheletso ho isa pheletsong: Ho lekanya libaka tse 150+ tsa nako ea 'nete tsa basebelisi ba se nang mohala ka ho phallela ho tsoa ho li-routers, li-switches le li-firewall, tse matlafalitsoeng ke Mist AI™ bakeng sa litlhahlobo tse boletsoeng esale pele.
• Moralo oa Cloud-native, microservices meralo: Ho ts'ehetsa ts'ebetso ea nako ea nnete ea data ea AI le ho nolofalletsa ts'ebetso e matla, e tsitsitseng le e sebetsang hantle ea litsamaiso tsa taolo ea marang-rang.
• Enjene e tloaelehileng ea AI: Ho kopanya tlhahlobo ea data ea marang-rang le lits'ebetso tsa ho etsa liqeto tlas'a moralo o le mong, o bohlale o tsamaisoang ke Mist AI o tsamaisang ts'ebetso e lokiselitsoeng, ho rarolla mathata a boletsoeng esale pele, le thuto e feto-fetohang ho pholletsa le tikoloho ea marang-rang.

Ka ho ithuta ho tsoelang pele ha mosebelisi ho ipapisitse le lintlha tse qaqileng tsa telemetry, Juniper e kenyelletsa data ea kopo hammoho le data ea marang-rang. Sena se nolofalletsa sistimi ea AI ho ithuta ka lits'ebetso tse sebelisoang le ho bolela esale pele litlamorao tse ka bang teng ho boiphihlelo ba ts'ebeliso ea mosebelisi ho ipapisitse le maemo a mabe a marang-rang.

Ho feta moo, AI-Native Virtual Network Assistant ea rona ea pele, Marvis™, e nolofatsa tsamaiso le ho rarolla mathata. Marvis e na le sehokelo sa moqoqo bakeng sa ho rarolla mathata le moralo oa ketso o ikemetseng, o tsamaisang ntlafatso e tsoelang pele ea marang-rang. Marvis e boetse e na le Marvis Minis, lefahla la pele la boiphihlelo ba dijithale indastering. Basebeletsi ba tsebahatsa litaba tsa khokahanyo pele li etsahala, 'me ba sireletsa basebelisi ho tsoa liphihlelong tse nyahamisang tsa marang-rang.

Ka boholo camprona le libaka tse ajoang tsa makala, motsoako ona oa bokhoni o fetola papali. E tlosa ka katleho liphephetso tsa ho phatlalatsoa, ​​ho rarolla mathata, le ho lokisa tse tsamaisang litšenyehelo, ho otlolla lihlopha tsa IT ho isa moo li fihlellehang teng, ho senya boiphihlelo ba basebelisi, le ho khina sekhahla le mahlahahlaha. Ka kopanelo, ba kenyelletsa phetoho ea 'nete mokhoeng oa marang-rang oa likhoebo o tla tsoela pele ho ntlafala ha nako e ntse e ea.

Ho bona setšoantšo se seholoanyane

Motheo oa marang-rang a sejoale-joale a nang le li-full-stack o bohlokoa bakeng sa sebopeho sa ona se matla le ho etsa hore ho be le khokahanyo e se nang moeli libakeng tse ncha tsa marang-rang-le ho feta. Ho eketsa ho ikamahanya le maemo e tla ba sesupo sa nako e ncha ho marang-rang a IT, ho senya mekhoa ea setso ea TCO bakeng sa theknoloji e thehiloeng le ho fetola phihlelo ea marang-rang bakeng sa basebelisi le basebelisi. Mona ke ba seng bakae ba khethiloeng ba peleamptse ling tsa bokhoni bo bontšang kamoo Juniper e nahanang ka ts'ebetso e felletseng ea stack:

SETŠOANTŠO 1
Ts'ehetso ea AI-Native e ntse e ntlafala ha nako e ntse e tsamaea: liperesente tsa litekete tsa marang-rang tsa bareki ba IT li rarollotsoe ka matla le AI ho theosa le lilemo tse 'maloa.

Litšebeletso tse kopaneng tsa sebaka

Libaka tsa phihlello tse se nang mohala (APs) tse phahamisang lethathamo la li-antenna tsa 16-element tsa Bluetooth® bakeng sa ho beoa / tataiso ea AP e ikemetseng le ponahalo e nepahetseng ea thepa le vBLE bakeng sa lits'ebeletso tse hlakileng le tse ka eketsang ts'ebeliso ea basebelisi le ho ntlafatsa phallo ea mosebetsi ho pholletsa le indasteri.

SD-WAN e sebetsang hantle haholo
SD-WAN e se nang tunnel, e thehiloeng ho nako e sebelisang Session Smart Networking bakeng sa ts'ebeliso e ntlafalitsoeng ea li-bandwidth le ho se atlehe hang hang ho ipapisitse le maemo a marang-rang a nako ea nnete.

Sireletsehile AI-Native Edge
Ts'ireletso, WAN, LAN, le NAC (Network Access Control) sebakeng se le seng sa ts'ebetso, se fanang ka tšireletso e phahameng bakeng sa litšokelo ka lebelo la terata, le mohato oa bohlokoa bakeng sa AI-Native uZTNA le

Mehaho e thehiloeng ho SASE
Khokahano e se nang moeli ea setsi sa data
Indasteri ea pele ea Virtual Network Assistant (VNA) e fana ka ponahalo le tiisetso ho isa pheletsong libakeng tsohle tsa likhoebo, ho tloha ho c.amprona le lekala ho data center

Tiisetso e tsoetseng pele ea ho tsamaisa
Boiketsetso ba AI-Native le lintlha tse mabapi le li-topology tsa setso

Wi-Fi 6E le lisebelisoa tsa Wi-Fi 7 tse etellang pele
Li-AP li etselitsoe ho nolofatsa ts'ebetso ea marang-rang ha li ntse li eketsa sekhahla le ho ba bonolo. Li-switches tse matla haholo bakeng sa Wi-Fi 7 tse nang le matla a bohareng le taolo ea data bakeng sa litsamaiso tsa kaho

06. Ka ntle ho theknoloji

Ho feta thekenoloji: bohlokoa ba sebopeho sa mokhatlo

Ho fumana lihlahisoa tse ngata ho tsoa ho mokhoa o felletseng oa marang-rang ha hoa itšetleha feela ka theknoloji e sebelisoang; e boetse e itšetlehile haholo ka sebopeho sa mokhatlo.
Tlhophiso e nepahetseng le 'mino oa liletsa likarolong tse fapaneng tsa theknoloji le ka har'a lihlopha ka botsona li bohlokoa katlehong.
Ho la Juniper, re thehile tikoloho ea tšebelisano moo lihlopha tsa rona tsa mahlale a data le lihlopha tsa tšehetso ea bareki li sebetsang hammoho. Li hokahane 'meleng le ts'ebetsong, lihlopha ka bobeli li sebelisa sesebelisoa sa rona se tsoetseng pele sa AIOps ho lula li hokahane le litaba tsa bareki ba nako ea nnete le maikutlo.

Tšebelisano ena e haufi e tiisa hore litsebi tsa rona tsa mahlale a data le litsebi tsa domain name li lula li hokahane le litlhoko tse ntseng li eketseha tsa bareki le ho beha litharollo pele, 'me li tsoela pele ho ntšetsa pele tsoelopele.

Ha nako e ntse e ea, moputso ke ts'ehetso e matla le ho feta, joalo ka ho kopanya lintlha tsa data ho tsoa ho litharollo tse kang Zoom, Teams, ServiceNow, Cradlepoint, le Zebra ho bolela esale pele ts'ebetso ea nako e tlang bakeng sa ho rarolla mathata ho isa karolong e itseng. 'Me tsoelo-pele e tla tsoela pele feela.
Juniper's AIOps e potlakisa ho romelloa, ho nolofatsa ts'ebetso, le ho theola TCO.

Ithute kamoo.

07. Full stack HONA JOALE

Litharollo tse kopantsoeng tsa Juniper li itšetlehile ka motsoako oa telemetry, workflow automation, DevOps, le ML ho nolofalletsa marang-rang a feto-fetohang le a ka lebelloang esale pele. Mokhoa oa rona o akaretsang oa AI ho marang-rang o lebisitse ho tse ngata tsa indasteri, ho kenyelletsa:

• Khokahano e tšepahalang bakeng sa baithuti, bareki, bakuli le basebetsi
• Eketsa le ho khatholla Wi-Fi ka bokhabane
• Tseba le ho boloka lisebelisoa tsa mehala le lisebelisoa ka NAC

Phihlello ea mohala
Likhokahano tse tšepahalang le tse sireletsehileng bakeng sa khoebo

• Khokahano e tšepahalang bakeng sa IoT, APs, le lisebelisoa tse nang le marang-rang
• Hokela le ho sireletsa IoT le basebelisi ka microsegmentation
• Tseba le ho boloka lisebelisoa ka NAC

Litšebeletso tsa sebaka sa kahare
Fana ka boiphihlelo ba mosebelisi bo ipapisitseng le temohisiso

• Kopana le baithuti, bareki, bakuli le basebetsi
• GPS ea ka hare le sebaka sa thepa
• Litlhahlobo tse thehiloeng sebakeng

Sireletsehile ho fihlella lekala
Khokahano e sireletsehileng, e tšepahalang le e se nang moeli bakeng sa liofisi tsa makala tsa lefatše lohle

• Sireletsa SD-WAN/SASE
• Khoebo e ajoang
• Ntlafatsa WAN bakeng sa lisebelisoa tsa cloud

07. Full stack HONA JOALE

Litharollo tse kopantsoeng tsa Juniper li itšetlehile ka motsoako oa telemetry, workflow automation, DevOps, le ML ho nolofalletsa marang-rang a feto-fetohang le a ka lebelloang esale pele. Mokhoa oa rona o akaretsang oa AI ho marang-rang o lebisitse ho tse ngata tsa indasteri, ho kenyelletsa:

• Litokiso tsa Proactive AI-Driven RF bakeng sa boiphihlelo bo nepahetseng ba waelese ho pholletsa le tikoloho
• Ho ts'oaroa ha pakete e matla ho LAN le WAN, ho fana ka boiketsetso bo ke keng ba lekanngoa, ponahalo le tharollo ea bothata
• Tlhahlobo e ikemetseng ea sesosa sa ho hlahloba le ho rarolla mathata a marang-rang, ho fokotsa MTTR le ho felisa litekete tse ngata tsa mathata.
• AI-Native Digital Experience Twin ho bona esale pele le ho rarolla mathata a marang-rang a marang-rang, a se nang mohala le a WAN pele a ama basebelisi.

Ho latela lebitso la eona, AI-Native Full Stack ea rona le eona e fetela ka nqane ho camprona le lekala le ho feta khoebong e ajoang. Bakeng sa mohlalaampLe:

• AI-Native VNA e fetolang ts'ebetso ea setsi sa data ka lintlha tse hlakileng le lipotso tse nolofalitsoeng tsa motheo oa tsebo ka mokhoa o hlakileng oa puisano hammoho le sistimi e ikemiselitseng ea marang-rang (IBN), e ntlafatsang nako, le ho potlakisa liqeto.
• Juniper Mist Routing Assurance e phahamisa li-AIOps bakeng sa ts'ebetso e tsoetseng pele ea WAN, e fana ka ponahalo ea routing le lintlha tse hlakileng tse nolofatsang ho rarolla mathata, ho theola MTTR/MTTI, le tlhahlobo ea sesosa sa motso pheletsong ea khoebo.
• Tšireletso ea AI-Native e netefatsa ponahalo le ts'ebetsong ka lisebelisoa tse sireletsehileng tse sireletsehileng tse nang le ts'ireletso e ntle ka ho fetisisa ea litšokelo ho pholletsa le li-switches tsa Juniper, li-routers le AP ho pholletsa le c.amprona, lekala, setsi sa data, le tikoloho ea maru, ho matlafatsa tlhahiso ho marang-rang le lihlopha tsa ts'ebetso ea ts'ireletso

Full stack HE? 

E thata:
Marchitecture e tšepisa ts'ebetso e phahameng empa e haella; litharollo tsa cobbled-hammoho

Tsamaiso e boima:
E hloka lihokelo tse ngata tsa taolo, hangata ka CLI e rarahaneng

Likopano tse fokolang:
Ha e na likhokahano tse se nang moeli libakeng tsohle tsa marang-rang le tharollo

Reactive:
E hloka likarabo tsa matsoho litabeng ka mor'a hore li hlahe

Full stack HONA JOALE

Matla:
E etselitsoe ho fihlela litlhoko tsa khoebo tsa kajeno le hosane

Tsamaiso ea AI-Native:
Tsamaiso e kopaneng, e hahiloeng ka AI e kopaneng ho tloha fatše

Likopano tse akaretsang:
Sethala se kopaneng se nang le LAN e etellang pele, WAN, setsi sa data, lits'ebeletso tsa sebaka, ts'ireletso, le meralo e bulehileng ea API bakeng sa likhokahano tse se nang moeli le ServiceNow, Teams/Zoom, Cradlepoint, Zebra, le tse ling.

Proactive:
E khona ho khetholla mathata le ho a fokotsa pele a ama basebelisi

Melemo linepe

Mokhoa o felletseng oa AI-Native o tlisa katleho e sa lebelloang ho rarahaneng camprona le dibaka tsa makala. Mona ke li-ex tsa 'nete tse seng kae feelaamples.

"Boiphihlelo ba basebelisi ba marang-rang boo Juniper e fanang ka bona bo feta hole eng kapa eng e 'marakeng. Boiketlo ba Juniper ba ts'ebetso le bokhoni ba ho iphekola, hammoho le metrics ea boiphihlelo ea mosebelisi eo e fanang ka eona, li tsoteha. ”

Neil Holden, CIO, Halfords

8x ho khatholla marang-rang ka potlako

Univesithi ea George Washington e ntlafatsa boiphihlelo
Marang-rang a sejoale-joale, a laoloang ke maru a nang le mehala le a se nang mohala a nolofatsa taolo ea marang-rang le ho rarolla mathata, e lebisang ho boiphihlelo bo betere ho IT le basebelisi.

Ho boloka US $500k ka selemo

London Borough ea Brent e eketsa tlhahiso ea basebetsi
Marang-rang a AI-Native a fana ka ponahalo e hlakileng ea IT litabeng hammoho le litokiso tse khothalelitsoeng, ho lokisa mathata a tsoelang pele a taolo.

Phokotso ea 90%+ ea litekete tsa mathata a marang-rang

Halfords e itšetleha ka AIOps bakeng sa phetoho ea mabenkele
Ka ho latela mokhoa oa AI-Native, Halfords e nolofalitse mathata a taolo ha e ntse e thusa moloko o latelang oa tharollo ea mabenkele.

Tataiso e felletseng ea ts'ebetso ea marang-rang

Ha ho nahanoa ka boholo ba ho tsamaisoa le ho iphetola ha theknoloji ea marang-rang ho fihlela morao tjena, ho rarahana ho 'nile ha busa ka nako e telele c.amprona le marangrang a makala. Kenyelletso ea AI-Native Networking e fetola ntho e ngoe le e ngoe.

Leha marang-rang a lula a hola kapa a fetoha hohle camprona le lekala tikoloho s, mokhoa oa AI-Native Full Stack o fana ka monyetla o e-so ka o e-ba teng oa ho khaola ho rarahana ho sa hlokahaleng, joalo ka balaoli le li-platform tsa taolo tse arohaneng, le ho ikamahanya le litharollo tse tsoetseng pele ka ho fetisisa tikolohong ea IT. E ka boela ea fana ka "maemo a nepahetseng" a bokhoni ba AI bo hlokahalang ho fana ka tlhahiso e phahameng, e tšehetsang basebelisi ba ikhethang le boiphihlelo ba IT ho TCO le OpEx e tlase.

'Me joaloka veine e monate, e tla ntlafala ha nako e ntse e feta.

01. Khetholla monyetla oa PoC
Hlalosa monyetla ho camprona le lekala ho etsa PoC (mohlala, sebaka se secha kapa ntlafatso ea lisebelisoa).

02. Qala ka teko e tlaase ea kotsi
Leka AI ho Rona ho sebelisa sephethephethe sa tlhahiso e phelang 'me u bone hore na litharollo tsa rona li lumellana joang le mokhatlo oa hau. Qala kae kapa kae ka har'a pokello e felletseng ka motsoako ofe kapa ofe oa Wi-Fi, switching, le/kapa SD-WAN tharollo.

03. Ela hloko phapang
Bona kamoo mokhoa oa AI-Native o fanang ka bonolo haholoanyane, tlhahiso le ts'epahalo.

04. Eketsa phepelo ea hau
Atolosa phihlello ea hau ka ho kenyelletsa libaka tse ling tse kang camprona, libaka tsa makala, NAC, litsi tsa data, firewalling, le Enterprise Edge.

Mehato e latelang

Fumana tlhahlobo e feletseng ea lebitso Juniper
Kena ka botebo ka menyetla e felletseng ea stack le litharollo tsa camprona le lekala.
Lekola litharollo tsa rona →
AI ho Rona →

Sheba Moholi oa AI o sebetsa
Bona kamoo leru la sejoale-joale la li-microservices ho Juniper Mist AI le fanang ka ponahalo ea 'nete, boiketsetso le tiisetso.
Shebella demo ea rona e batloang haholo →

 

Ke hobane'ng ha Juniper
Juniper Networks e lumela hore khokahano ha e tšoane le ho ba le khokahano e kholo. Juniper's AI-Native Networking Platform e hahiloe ho tloha fatše ho phahamisa AI ho fana ka liphihlelo tse ikhethang, tse sireletsehileng haholo, le tse tsitsitseng tsa mosebedisi ho tloha moeling ho ea setsing sa data le leru. U ka fumana lintlha tse ling ho juniper.net kapa ikopanye le Juniper ho
X (eo pele e neng e le Twitter), LinkedIn, le Facebook.

Lintlha tse ling
Ho ithuta haholoanyane ka tharollo ea Juniper Networks AI-Native Networking Full Stack, ikopanye le moemeli oa hau oa Juniper kapa molekane, kapa etela rona. webSebaka sa marang-rang: https://www.juniper.net/us/en/campus-and-branch.html

Lintlha le litšupiso
01. Network Management Megatrends 2024:
Likheo tsa Tsebo, Hybrid le Multi-Cloud, SASE, le Ts'ebetso e tsamaisoang ke AI. EMA ha e batloa webka hare
02. Ibid.
03. Ibid.
04. The NetOps Expert podcast, episode 9: “AI/ML le NetOps—Puisano le EMA ke Setsebi sa NetOps,” Phupu 2024.

© Copyright Juniper Networks Inc. 2024.

Litokelo tsohle li sirelelitsoe.

Litlhaloso tsa likarolo tsa Juniper Networks Inc.
Mokhoa oa 1133 oa ho nchafatsa
Sunnyvale, CA 94089
7400201-001-EN Mphalane 2024
Juniper Networks Inc., letšoao la Juniper Networks, junipere.
net, Marvis, le Mist AI ke matšoao a ngolisitsoeng a Juniper Networks Incorporated, a ngolisitsoeng US le libakeng tse ngata lefatšeng ka bophara. Mabitso a mang a sehlahisoa kapa litšebeletso e kanna ea ba matšoao a Juniper Networks kapa lik'hamphani tse ling. Tokomane ena ke ea hajoale ho tloha ka letsatsi la pele la phatlalatso mme e ka fetoloa ke Juniper Networks ka nako efe kapa efe. Ha se linyehelo tsohle tse fumanehang naheng e 'ngoe le e' ngoe eo Juniper Networks e sebetsang ho eona.

Litlhaloso

• Lebitso la Sehlahisoa: Tharollo e feletseng ea Stack Networking
• Moetsi: Junipere
• Likarolo: AI-Native le cloud-native full stack solution portfolio
• Melemo: Marang-rang a matla a matla le a scalable, AI le bokhoni ba boiketsetso, taolo e nolofalitsoeng, boiphihlelo bo ntlafalitsoeng ba basebelisi.

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Lipotso tse atisang ho botsoa (FAQ)

Melemo ea bohlokoa ea Full Stack Networking Solution ke efe?

Tharollo e fana ka marang-rang a matla le a scalable, AI le bokhoni ba ho iketsetsa, tsamaiso e nolofalitsoeng, liphihlelo tse ntlafetseng tsa basebelisi, le litšenyehelo tse fokotsehileng.

Ho kenya data ho bohlokoa hakae ho holiseng tlhahiso ea tharollo ea AI?

Kenyelletso ea data e bapala karolo ea bohlokoa ho netefatsa katleho ea tharollo ea AI ho marang-rang a IT. Lintlha tsa boleng ba data li lebisa liphellong tse molemo.

Litokomane / Lisebelisoa

Juniper Full Stack Input, Maximum Output [pdf] Bukana ea Mosebelisi Kenyelletso e Felletseng ea Stack Upput Maximum, Stack Input Maximum, Input Maximum Output, Maximum Output, Output

Litšupiso

• Bukana ea Mosebelisi