Cloud Prep

by 24 Sea, 2022gore0 mashoko

Kugadzirira Kuenda Kumakore

 

Isu tava mumakore gumi echipiri ekugamuchirwa kwegore. Anosvika 92% emabhizinesi ari kushandisa cloud computing kune imwe nhanho. Denda iri rave richangobva mutyairi wemasangano kuti atore tekinoroji yemakore. Kubudirira kufambisa imwe data, mapurojekiti uye maapplication kune gore zvinoenderana nekugadzirira, kuronga uye kutarisira dambudziko.  

 

  1. Kugadzirira ndeye data uye manejimendi emunhu data uye anotsigira zvivakwa.
  2. Kuronga kwakakosha. Hurongwa uhu hunofanirwa kunge huine zvinhu zvakakosha.
  3. Dambudziko rekugadzirisa ndiko kugona kufanoona nzvimbo dzinogona kuitika dzedambudziko uye kugona kufamba nadzo kana dzasangana.  

6 Matanho Ekuti Cloud Adoption

Zvinhu zvina Zvinofanirwa kuitwa neBhizinesi kuti Ubudirire Mugore, Uyezve 7 Gotchas

 

Bhizinesi rako riri kuenda kumakore. Zvakanaka, rega nditaure zvakare kuti, kana bhizinesi rako richizobudirira, richaenda kune Mangani Masangano Anoshandisa Cloud gore - izvi ndizvo, kana zvisipo kare. Kana wagara uripo, pamwe ungadai usiri kuverenga izvi. Kambani yako iri kumberi kufunga uye inotarisira kutora mukana wezvese zvakanakira gore zvatakakurukura mune chimwe chinyorwa. Kubva muna 2020, 92% yemabhizinesi ari kushandisa gore kusvika pamwero wakati uye 50% yedata yese yemakambani yatove mugore.

 

Iyo sirivheri inonamira paCOVID gore: denda rakamanikidza bhizinesi kuti ritarise zvakanyanya pamakore kugona kutsigira paradigm nyowani yevashandi vari kure. Gore rinoreva zvose data guru kuchengetedza uye maapplication anogadzirisa iyo data.  Chimwe chezvikonzero chikuru chekutamira kune gore ndechekuwana mukana wekukwikwidza nekuchinjika uye nekuwana miono mitsva kubva kune mabhoti akatakura data.   

 

The analyst firm Gartner rinogara richibudisa mushumo unokurukura “ruzivo rwokugadzira zvinhu nemaitiro anoratidza vimbiso mukuunza mwero wakakwirira wezvakanakira makwikwi mumakore mashanu kusvika ku10 anotevera.” Makore gumi apfuura, Gartner's 2012 Hype Cycle ye Cloud Computing isa Cloud Computing nePublic Cloud Storage mu "Trough of Disillusionment" kungopfuura "Peak of Inflated Expectations." Kupfuurirazve, Big Data yakanga ichangopinda mu "Peak of Inflated Expectations". Vese vari vatatu vane bani rinotarisirwa mumakore matatu kusvika mashanu. Software seSevhisi (SaaS) yakaiswa naGartner muchikamu che "Slope of Enlightenment" ine nzvimbo inotarisirwa ye3 kusvika kumakore mashanu.

 

Muna 2018, makore matanhatu gare gare, "Cloud Computing" uye "Public Cloud Storage" vaive muchikamu che "Slope of Enlightenment" ine bani rinofungidzirwa risingasviki makore maviri. "Software as a Service" yakanga yasvika pabani.  Chiripo ndechekuti pakave nekugamuchirwa kwakakosha kwegore reruzhinji panguva iyi.  

 

Nhasi, muna 2022, Cloud computing yave mumakore gumi echipiri ekugamuchirwa uye ikozvino ndiyo yakasarudzika tekinoroji yezvishandiso zvitsva. Kubvumidzwa Kwemakore  As Gartner inoti, "Kana risiri gore, inhaka." Gartner anoenderera mberi achitaura kuti kukanganisa kwe cloud computing pane sangano kunoshandura. Saka masangano anofanira kuita sei neshanduko iyi?

 

 

 

 

Iyi chati inotsanangura zvakadzama zvazvinoreva kuti tekinoroji iri mune chimwe chikamu. 

 

Sravana Sameeralu Serial XNUMXth Technology Phases

Masangano anofanira kuona sei shanduko yesangano?

 

Mukuita kwavo kutorwa kwegore, masangano aifanira kuita sarudzo, kumisa marongero matsva, kugadzira maitiro matsva uye kugadzirisa matambudziko chaiwo. Heino rondedzero yenzvimbo dzakatarwa dzauchazoda kugadzirisa kuti uve nechokwadi chekuti imba yako yakarongeka: 

 

  1. Kudzidzira, kudzidziswazve kana mabasa matsva.  Mukutora iyo yeruzhinji gore rekuchengetera data kana kukwirisa maapplication, iwe wakapa kunze rutsigiro uye kugadzirisa kwezvivakwa. Iwe uchiri kuda inhouse hunyanzvi kubata mutengesi uye kuwana iyo data. Uyezve, iwe unofanirwa kuziva maitiro ekusimudzira maturusi matsva aunawo ekuziva analytics uye data sainzi.     
  2. Dhata.  Izvo zvese nezve data. Data ndiyo mari itsva. Tiri kutaura nezve Big Data- data inosangana ingangoita mamwe eiyo V's yetsanangudzo. Mukuenda kune gore, imwe yedata yako inenge iri mugore. Kana iwe uri "zvese-mukati", data rako richachengetwa mugore uye rinogadziriswa mugore. Big Data Cloud Prep

A. Kuwanikwa kwedata. Ko yako iripo pane-prem application inogona kuwana iyo data iri mugore? Iyo data rako parinofanira kunge riri rekugadzirisa? Iwe unofanirwa kuronga nguva mune yako gore yekufambisa purojekiti kuti ufambise data rako kune gore? Izvozvo zvichatora nguva yakareba sei? Iwe unofanirwa kuvandudza maitiro matsva kuti uwane yako transaction data kune gore? Kana iwe uchifunga kuita AI kana kudzidza muchina, panofanirwa kuve nedata rekudzidziswa rakakwana kuti isangane nedanho rinodiwa rekurongeka uye nemazvo.

B. Kushandiswa kwe data. Iyo data yako iri mufomati inogona kudyiwa nevanhu uye maturusi anenge achiwana iyo data? Iwe unogona here kuita "kusimudza-uye-kuchinja" pane yako yekuchengetedza data? Kana kuti, inogona kugadzirwa kuti iite? 

C. Hunhu hwe data. Hunhu hwe data iyo sarudzo dzako dzinotsamira pairi inogona kukanganisa kunaka kwesarudzo dzako. Utongi, vatariri ve data, data management, pamwe muchengeti wedata anogona kuita basa rakakosha mukugamuchirwa kwekunzwisisa analytics mugore. Tora nguva usati waendesa data kune gore kuti uongorore kunaka kwedata rako. Hapana chimwe chinoshungurudza sekuziva kuti wakatama data rausingade.

D. Kusiyana uye kusava nechokwadi mumashoko makuru. Data inogona kunge isingaenderani kana kusakwana. Mukuongorora data rako uye nemashandisiro auri kuda kuishandisa, pane mapundu here? Ino ndiyo nguva yekugadzirisa zvinozivikanwa nyaya dzine chekuita nebhizinesi-yakafara zviyero pane data. Gadzirisai munzvimbo dzese dzekurevera pazvinhu zviri nyore senge nguva diki, geography hierarchies. Ziva tsime rimwe chete rechokwadi.   

E. Kuganhurirwa kuri mumashoko makuru pachawo. Nhamba huru yezvingangoita mhedzisiro inogona kuda domain nyanzvi kuti iongorore mhedzisiro yekukosha. Mune mamwe mazwi, kana mubvunzo wako uchidzosa marekodhi akawanda, iwe semunhu unozozvigadzirisa sei? Kuti uisefa uye udzikise huwandu hwemarekodhi, kuitira kuti igone kudyiwa nemunhuwo zvake asiri munhu mukuru, unozofanirwa kuziva bhizinesi riri kuseri kwedata.

     3. Kutsigira nheyo / infrastructure yeIT. Funga nezvese zvikamu zvinofamba. Zvingangoita kuti haisi yese data yako ichave iri mugore. Vamwe vanogona kunge vari mugore. Zvimwe pane-nzvimbo. Imwezve data inogona kunge irimo mumwe gore remutengesi. Une dhayagiramu yekuyerera kwedata here? Wakagadzirira kutama kubva pakubata zvinhu zvemuviri kuenda kune maneja vatengesi vanobata zvenyama hardware? Iwe unonzwisisa here miganhu yemakore nharaunda? Wakambozvidavirira here kugona kutsigira isina kurongeka data pamwe neakakosha papuratifomu-inogonesa matekinoroji. Uchakwanisa kushandisa iyo SDK, API, zviwanikwa zvedata zvawanga uchishandisa pa-nzvimbo? Zvingangodaro zvinoda kunyorwazve. Zvakadini neETL yako iripo yekurodha iyo yekuchengetedza data kubva kune transaction masisitimu? ETL zvinyorwa zvinoda kunyorwazve.

     4. Kukwenenzvera mabasa. Vashandisi vangangoda kudzidziswa patsva maapplication uye maitiro ekuwana data mugore. Kazhinji desktop kana network application inogona kunge iine zita rakafanana kana rakafanana seyakatsaurirwa kune gore. Iyo, zvisinei, inogona kushanda zvakasiyana, kana kutove neyakasiyana seti.  

 

Kana sangano rako rakanyatso kutamira kune gore uye nekuita zvakanyanya ma analytics, hapana gakava rekuti danho racho rinogona kupa bhizinesi rakakosha uye kukosha kwehupfumi. Kutaura zvazviri, kuti usvike kubva pano, unofanira: 

  1. Gadzira charter.  

A. Watsanangura here kukura kwechirongwa chako?  

B. Une rubatsiro rwevakuru here?

C. Ndiani - ndeapi mabasa - anofanira kuiswa mupurojekiti? Ndiani mukuru wezvivakwa? Ndeupi hunyanzvi hwaunoda kuvimba nemutengesi wegore?

D. Chinangwa chekupedzisira chii? Nenzira, chinangwa hachisi "kufamba kune gore". Ndeapi matambudziko auri kuedza kugadzirisa?

E. Tsanangura maitiro ekubudirira kwako. Unozoziva sei kuti wabudirira?

 

2. Ziva. Tanga pakutanga. Tora inventory. Ziva zvaunazvo. Pindura mibvunzo:

A. Ndeapi data yatinayo?

B. Data iri kupi?

C. Ndeapi maitiro ebhizinesi anoda kutsigirwa? Ndedzipi data dzinoda maitiro iwayo?

D. Ndeapi maturusi uye maapplication atinoshandisa parizvino kukanganisa data?

E. Ndeupi ukuru uye kuoma kwedata?

F. Tichava nei? Ndeapi maapplication anowanikwa mugore kubva kumutengesi wedu?

G. Tichabatana sei kune data? Ndezvipi zviteshi zvinoda kuvhurwa mugore?

H. Pane here mitemo kana zvinodiwa zvinoraira kuvanzika kana kuchengetedza zvinodiwa? Pane maSLA ane vatengi anoda kuchengetedzwa?  

I. Unoziva here kuti mari ichaverengerwa sei pakushandiswa kwegore?

 

3. Ongorora uye ongorora

A. Ndeipi data yatinoda kufambisa?

B. Ongorora mari. Iye zvino zvauri kuziva chiyero uye huwandu hwe data, iwe uri pachinzvimbo chirinani chekutsanangura bhajeti.

C. Tsanangura mikaha iripo pakati pezvauinazvo iye zvino nezvaunotarisira kuva nazvo. Chii chatiri kushaya?

D. Sanganisira kutama kwekuyedza kuratidza zvawapotsa padzidziso.

E. Batanidza Kubvumwa Kwemushandisi Kuedzwa muchikamu chino pamwe nechikamu chekupedzisira.

F. Ndeapi matambudziko aungatarisira kuitira kuti iwe ugokwanisa kuvaka njodzi muchikamu chinotevera?

G. Ingozi dzipi dzakaonekwa?

 

Ronga. Gadzira a road mapepa 

A. Ndezvipi zvinonyanya kukosha? Chii chinotanga? Chii chinotevedzana?

B. Chii chaungasasanganisire? Iwe unogona sei kuderedza chiyero?

C. Pachave nenguva here yeparallel processing?

D. Ndeipi nzira? Kusarura/kuita nhanho?

E. Wakatsanangura nzira yekuchengetedza here?

F. Wakatsanangura here kuchengetedza data uye zvirongwa zvekudzoreredza njodzi?

G. Chii chinonzi hurongwa hwekutaurirana - mukati meprojekiti, kune vanobatana, kune vashandi vekupedzisira?

 

5. Vaka. Kutama. Test. Launch.

A. Shanda chirongwa. Idzokorore zvine simba zvichibva paruzivo rutsva.

B. Vaka pamusoro pesimba rako renhoroondo uye kubudirira nhaka yako IT hwaro uye tanga kutora mukana weBig Data uye cognitive analytics mabhenefiti.       

                                                                                                                                                                   

6. Dzokorora uye Natsa.  

A. Ndepapi paungarega maseva ari kugara asina chaanoita?

B. Ndekupi kugadziridza kwawakaona kunoda kuitwa?

C. Ndedzipi optimizations inogona kuitwa kune yako data mugore?  

D. Ndeapi maapplication matsva edata aunogona kushandisa ikozvino mugore?

E. Chinhanho chinotevera ndechei? AI, kudzidza kwemichina, analytics yepamusoro?

Gotchas

 

vamwe zvitubu taura kuti akawanda anosvika makumi manomwe muzana emapurojekiti etekinoroji akakundikana zvachose kana kuti chikamu. Sezviri pachena, zvinoenderana netsanangudzo yako ye  Cloud Karma kukundikana. Imwe mabviro vakawana kuti 75% vakafunga kuti chirongwa chavo chaizoparara kubva pakutanga. Izvi zvinogona kureva kuti 5% yakabudirira kunyangwe paine kusawirirana kwavo. Chiitiko changu chinondiudza kuti kune chikamu chakakosha chezvirongwa zvetekinoroji izvo zvisingambobvi pasi kana kutadza kuzadzisa zvinotarisirwa zvakavimbiswa. Pane mamwe madingindira akajairika anogoverwa mapurojekiti iwayo. Sezvaunotanga kuronga kutama kwako kune gore, heano mamwe magotcha ekutarisa. Kana ukasadaro, vakaita sekarma yakaipa, kana kiredhiti yakaipa - munguva pfupi kana gare gare, vanokuruma muchiuno.:

  1. uridzi. Munhu mumwe chete anofanira kunge ari muridzi wepurojekiti kubva pakuona kwemanejimendi. Panguva imwecheteyo, vese vatori vechikamu vanofanirwa kunzwa vakaiswa mari sevanobatanidzwa.
  2. mutengo. Budget yakagoverwa here? Iwe unoziva kurongeka kwehukuru hwemwedzi gumi nemiviri inotevera pamwe nefungidziro yekuenderera mberi kwemitengo? Pane chero mari yakavanzika here? Wakambodhiza chero flotsam uye jetsam yakawandisa mukugadzirira kufamba. Iwe haudi kutamisa data risingazoshandiswe, kana risingavimbike.       
  3. utungamiri. Iyo purojekiti inotsigirwa zvizere nevatungamiriri? Zvinotarisirwa uye tsanangudzo yekubudirira ndezvechokwadi here? Zvinangwa zvinofambirana nechiono nehurongwa hwekambani here?
  4. Project Management. Nguva, chiyero uye bhajeti ndezvechokwadi here? Pane "masimba" anoda nguva pfupi yekutumira, yakawedzera chiyero uye / kana mitengo yakaderera kana vanhu vashoma? Pane kunzwisisa kwakasimba pane zvinodiwa here? Ndezvechokwadi uye zvakanyatsotsanangurwa here?
  5. Human Resources. Tekinoroji chikamu chiri nyore. Chinhu chevanhu ndicho chinogona kunetsa. Kutamira kumakore kuchaunza shanduko. Vanhu havadi shanduko. Unofanira kuisa zvinotarisirwa zvakakodzera. Pane vashandi vakakwana uye vakakodzera vakazvipira kuchirongwa ichi here? Kana, wakamboedza kuveza nguva kubva kune vanhu vakatonyanya kubatikana nebasa ravo rezuva? Unokwanisa here kuchengetedza timu yakagadzikana? Mapurojekiti mazhinji anokundikana nekuda kwekuchinja kwevashandi vakakosha.  
  6. ngozi. Ko njodzi dzaonekwa uye dzakagadziriswa zvinobudirira here?  
  7. Contingency. Wakwanisa here kuona zvinhu zvausiri kutonga asi izvo zvinogona kukanganisa kuendesa? Funga mhedzisiro yekuchinja kwehutungamiriri. Denda repasi rose ringakanganisa sei kugona kwako kuzadzisa nguva dzakatarwa uye kuwana zviwanikwa?  

Iyo Cloud Computing Hype Cycle muna 2022

Saka varipi Cloud Computing, Public Cloud Storage uye Software seSevhisi paGartner's ari kubuda tekinoroji hype cycle nhasi? Havasi. Havasisiri matekinoroji ari kuuya. Havachisiri pamhene. Ivo vari mainstream, vakamirira kutorwa. Tarisa kukura mune zvinotevera hunyanzvi hwekubuda: AI-Augmented Design, Generative AI, Physics-ruzivo AI uye Non Fungible Tokens.  

 

Mazano ari muchinyorwa chino akatanga akaunzwa semhedziso yechinyorwa "Cognitive Analytics: Kuvaka paNhaka Yako IT Foundation" yakapihwa mu. TDWI Business Intelligence Journal, Vol 22, Nha.