Wipro-2025年云技术趋势报告：揭开云计算的未来图景-Cloud Trends 2025 Unveiling the Future Of Cloud Technology

CloudTrends2025:

UnveilingtheFutureOfCloudTechnology

Dr.MageshKasthuri,VishnuVardhanYalala,

VeerabadrachariR,VasudhaMishra,AnujMehraandSourabhDecember2024

TrendreportfromDMTSCommunity

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TableOfContents

INTRODUCTION 2

MULTI-CLOUDANDHYBRIDCLOUDSOLUTIONS(FUTUREISHYBRID)2

EDGECOMPUTING 4

SERVERLESSCOMPUTING 10

ARTIFICIALINTELLIGENCEANDMACHINELEARNINGINTEGRATION11

CLOUDSECURITY,COMPLIANCEANDRESILIENCY 16

CLOUD-NATIVEAPPLICATIONS 18

QUANTUMCOMPUTINGINTHECLOUD 21

CLOUD-BASEDDEVSECOPSANDAUTOMATION 23

GREENCLOUDCOMPUTING(SUSTAINABILITYORGREENIT) 27

SOVEREIGNCLOUD 28

INDUSTRIALCLOUD 29

CONCLUSION 31

REFERENCES 31

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Introduction

Theever-evolvinglandscapeofcloudtechnologycontinuestoshapethefutureofbusinesses,drivingdigitaltransformationandinnovation.Asweapproach2025,severalkeytrendsarepoisedtodominatethecloudtechnologyarena,emergingwithrenewedvigorfrom2024.Cloudtechnologyisnotnewageanditsoneofthetechnologywhichemergesinthelastdecadecontinuouslytokeepitselfup-to-the-markoftheexpectationsoftheindustrialneedanddigitaltransformationtrends.

Cloudtrendsisathreedimensionalapproachsuchas

•Hyperscalersintroducednewservicesandenhancementsintheexistingservicesinthelastfewyearstokeepthemupinthemarketdemandandmeetcustomerneedsatscale

•DomainexpectationsbuildsusecaseswhichareindustryspecificandthusintroducingdomaincentricadvancementslikeIndustrialcloudand

•CombinationaltechnologysolutionslikeDatacentriccloudservices,GenerativeAIcloudservicesandQuantumcloudservices.

Thisresearchreportdelvesintothetoptencloudtrendsexpectedtomakeasignificantimpact,supportedbyinsightsfromleadinganalystreportssuchasGartner,Forrester,Everest,andIDC.ThisreportisdistinctinthattheauthorsbringthetrendanalysisfromAnalystreportspointofviewashorizontalviewandunderstandingonbusinesstrendsfromcustomersasverticalview.

Multi-CloudandHybridCloudSolutions(FutureisHybrid)

WecanunderstandthattherearemanyfactorsinfluencingthedecisionincludingGeospreadCustomerportfolioandITteams,distributedtechnologystackofapplications,reusabilityofhybridservicesforgradualcloudadoptionofmultipleapplicationsintheestatetonameafew.

InaMulti-cloudarchitecture,threemostcommonlyusedpattern,whichcaninfluencetochooseMulti-cloudsolutionsasexplainedbelowthreemostcommonly:

Dataorientedmulti-cloudarchitecture–Thisisaheterogeneouspattern,whereenterprisechoosemulti-cloudbasedonsuitabilityofdatasources.Forexample,iftheapplicationestatehasOracle,Postgre,MySQL,MSSQLandcustomerprefersnottodoactualDBtransformation(OracletoMSSQLorMSSQLtoPostgre),thenwecanchooseapplicationswithOracle,Postgre,MySQLtogotoAWS(whereOracletoPSQLisquiteeasyinAWS/Azure)andMSSQLbasedappscangotoAzure.

Forapplications(batch,real-timeanalytics)usingNoSQLdatabaseplatformsarequitesuitabletomovetoanyCSP(eg:MongoDB,HadoopCluster)andonlycostcomparison(forselectedregion(s),zone(s))canbecomparedformulti-cloudadoption.

Serviceorientedmulti-cloudarchitecture–Thisisahomogeneouspattern,whereenterprisechoosemulti-cloudbasedonbusinessapplicationsincludingservices,APIlayersandprocessinglogic(functions)wherecrossservicecommunicationacrossCSPandcentralizedserviceavailabilityformulti-cloudisalsopossible.Forexample,apolyglotMicroservicegroupscanbemigratedtoAWS,Azure,GCPdependingonserviceusageandneed(eg:ApigeeservicescangotoGCP,ServiceorchestrationusingFabriccangotoAzureandHubservicescangotoAWS).

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Processorientedmulti-cloudarchitecture–Thisisahybridpattern,whereenterprisechoosemulti-cloudbasedoncombinationofDataorientedappsorserviceorientedappsorincombinationofboth.Theyareonlyconcernedabouttheeaseofportabilitytocloudandflexibilityinimplementation.

Forexample,ERPorSAPHanaappscanbemigratedtoAWSalongwithservices,FrontendappscanrunonAzureandatthesametime,BatchprocessingwithAnalyticsandreportingcanrunonGCP.

DistributedCloudvsMulti-cloudsolutions

Distributedcloudreferstothedeploymentofcloudservicesacrossmultiplegeographiclocations,whilebeingmanagedcentrallyfromasingleplatform.Thisarchitectureallowsfordataandapplicationstobephysicallyclosertoend-users,reducinglatencyandimprovingperformance.Byspreadingouttheresources,distributedcloudenhancesreliabilityandscalability,ensuringcontinuousserviceavailabilityevenifonelocationfacesdisruptions.

Servicedeploymentinadistributedcloudenvironmentinvolvesstrategicallyplacingcomputationalresources,storage,andnetworkingcapabilitiesatvariousedgelocations.Theseresourcesarethenorchestratedandmanagedbyacentralplatformthatoverseesoperations,updates,andsecuritypolicies.Thiscentralmanagementsimplifiesthecomplexityofhandlingmultiplesiteswhileleveragingthebenefitsoflocalizedcomputing.

Multi-cloudsolutions,ontheotherhand,involveusingmultiplecloudserviceproviderstohostdifferentpartsofanapplicationorworkload.Thisapproachhelpsorganizationsavoidvendorlock-in,increaseredundancy,andoptimizecostbyselectingthemostsuitableservicesfromvariousproviders.Multi-cloudstrategiesareparticularlybeneficialinaddressingregulatoryrequirementsacrossdifferentregionsandindustries.

Forinstance,datasovereigntylawsmaydictatethatcertaindatamustremainwithinspecificgeographicboundaries.Byutilizingamulti-cloudapproach,companiescanensurecompliancebystoringandprocessingdatainregionsthatmeetregulatorystandards.Additionally,multi-cloudsolutionsofferflexibilitytoadoptbest-of-breedtechnologiestailoredtoparticularindustrialapplications,enhancingoverallefficiencyandinnovation.

Insummary,distributedcloudandmulti-cloudstrategiesarereshapingcloudcomputingbyofferingimprovedperformance,compliance,andflexibility.Theseapproachesenablebusinessestobettermeetthedemandsofmodernapplicationsandregulatorylandscapes,ensuringrobustandadaptablecloudinfrastructures.

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ArecentcasestudyonWipro'scustomerinmulti-cloudandhybridcloudsolutionsinvolvesaEuropeanclientwhoembarkedonamulti-cloudtransformationjourney.Theclientadoptedabusinesscase-drivenapplicationrationalizationapproach,transforming77%oftheirworkloadintothecloudwiththeadoptionofcontainerandapplicationmodernization.

BenefitstotheCustomer:

SeamlessSupport:WiprosupportedtheapplicationportfoliowithoutanyimpactontheapplicationsmigratedtothepubliccloudundertheRe-Hostmodel.

UpskilledWorkforce:Forapplicationsthatrequiredre-factoringandarchitecturalchanges,Wiproupskilledtheexistingapplicationsupportteam,ensuringcontinuousapplicationservicesinthetransformedenvironment.

EfficientTransformation:ThecollaborativeexercisebetweenWiproandtheclientfacilitatedaseamlesstransitionofapplicationsupportwithoutcreatinganybusinessimpacts.

Wipro'sUniqueProposition:

•StudioFrameworkandAccelerators:WiproleverageditsStudioframework,accelerators,BOTS,andpredefinedmigrationrunbooksalongwithITIL-ledoperatingprocedurestocarryoutthemigrationefficiently.

•CloudBusinessandMigrationOffice:Wipro'sCloudBusinessandMigrationofficestrategizedandplannedforlarge-scaleexecution,ensuringasmoothmigrationprocess.

•AutomatedMigrationandTesting:Theuseofpipeline-drivenautomatedmigrationandtestinginanagilemodehelpedfast-trackthedeploymentcycle.

•DetailedAssessment:Performingadetailedassessmentofinfrastructureandapplicationshelpedderivetherightbusinessusecases,ensuringatailoredapproachtotheclient'sneeds.

EdgeComputing

Edgecomputingissettorevolutionizethecloudlandscapebybringingdataprocessingclosertothesourceofdatageneration.Thistrendisdrivenbythegrowingdemandforlow-latencyapplicationsandreal-timedataprocessing.AccordingtoIDC,theglobaledgecomputingmarketisprojectedtoreach$250billionby2025,reflectingacompoundannualgrowthrate(CAGR)of37.4%from2024.TheproliferationofInternetofThings(IoT)devicesandtheneedforreal-timeanalyticsarekeyfactorspropellingtheadoptionofedgecomputing.

AsperGartner’sStrategicTechnologytrendreport2024,oneofthetechnologythatcandrivesignificantdisruptionandfuturisticopportunityforITservicesforthenextfivetotenyearsisDistributedCloud.

CurrentlymostCloudServiceProviders(CSPs)whichrunscentralizedCloudservicemodelandoffersOn-demandandmeteredaccesstothecomputingserviceslikedatabase,virtualmachinesandstorageservicesacrossdifferentregions,availabilityzonesandedgelocations.ForbetterRPOandRTO,siteredundancyandMulti-AZservicesareprovidedtoensureresilienceandhighavailability.

ButthefutureofCloudservicemodelbreaksthiscentralizedmodelandmovetowardsdistributedCloudmodelwhereCSPsdatacenterwillnotbeabarrierforstoragelocations.Thiswillbeonemorelevel

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highertoHybridcloudwhereHybridcloudiscombinationofPrivatedatacenterbasedPubliccloudfarmsandDistributedcloudmovestowardsdecentralizedmodelinwhichvariousmicro-cloudlocatedoutsidethecentralizedcloudfarmsinwhicheachmicro-cloudcanservethepurposeforStorage,computeandnetworkservicesinitscontrolbylogicallydisbursedbetweeneachother.

Figure:Cloudmigrationpathsandcrossroads

EdgeComputingandFogComputingalreadymovesthecloudmodeltowardsDistributedCloudandwiththeintenttoreducenetworklatencybykeepingthemicro-cloudclosertouserregions(edgecachingbasedonusability,accessibility).

WiththeadvantageofDistributedCloudandtheentryof5GarchitecturewheredistributedlocationaccessisverymuchneededforrequirementslikeRegulatory(cross-borderdataaccess),Location(multi-regionalserviceaccesswithlowlatencyandhigherthroughput),Security(dataprivacy)andRedundancy(tohandlesituationlikelargescaletrafficandoutages).

Forlargeenterprises,DistributedcloudcanassureshiftingfromCAPEXtoOPEXusingon-demandmicro-cloudusagewithgeospreadedserversanduseintelligenttransportofdataacrosslocationswithlesslatencyandintelligentcachingforlargevolumeofdatalikevideostreamingandDatalakesolutions.

ForCloudArchitectsandSolutionconsultants,howthisdifferstheyDayinthelifeisquiteinterestingasDistributedCloudmakesthemtothinksolutioncoherenttotheofferingsofmicro-cloudservicesandNon-functionalrequirementgetsaddressedinamuchsophisticatedwayinDistributedCloudascomparedtosiloesinCentralizedcloudmodelintermsofperformanceofservicecommunication,networkmodel,APIgateway,CDNusageandmessagingservices.

AsperGartnerandNextPlatform,DistributedClouddoesn’tmatureovernightandtakeoverbutitcanpotentiallyoccupymajorityofcloudinvestmentbusinessby2025.Securityfeaturesincloudplatformdiffersfromtraditionaldatasecurityinmulti-aspectastheyaredivergentinplatformarchitectureand

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alsonew-agehybridcloudarchitectureneedstoprotectapplication,dataandservicesinon-premisesdatacenter(eg:Datasecurity),cloudservices(eg:Serversecurity)andmobileusers(eg:clientsecurity).

GartnerpredictsthatSecureAccessServiceEdge(SASE)couldbetransformationalandnextwaveenterprisesecurityarchitecture.SASEisanamalgamationofNetworkasaServiceandNetworksecurityasaServicetocombinethepowerofServiceDeliveryWideAreaNetwork(SD-WAN),networkrouting,networksegmentation,FirewallasaService,cloudbasedsecurityservices(CloudSecurityasaService)andWANoptimization.

Figure:SASEonEdgecomputing

SASEconvergesthesecurityarchitecturewithZeroTrustNetworkAccess(ZTNA),CloudSecureWebGateway(SWG)andWebapplicationandAPIprotectionasaService(WAAPaaS)todelivernetworkandsecurityfeaturesfornewagebusinessscenarioslikeAIenabledservices,5Gnetworkslicingandedgecomputingtoimproveglobalscaleandoperationalresilience.

TherearefourcharacteristicsthatisenabledbySASEsuchasIdentity-Driventoenableuserandresource(network,cloud)identity,cloud-nativearchitecturetoleveragecloudcapabilitieslikeagility,scalabilityandelasticity,supportsEdgecomputingtoreducenetworklatencyandbetterthroughputandGloballydistributednetworktodeliverlow-latencynetworkservicestoenterpriseedges.

Edgecomputinggivesadistributedcloudcomputingfacilitytocloudoperatedapplicationsthusreducingnetworklatencyandimprovescustomerexperience.SinceEdgecomputinggiveshighly-reliablecloudservices,therearemanyusecasesacrossdifferentsectorsliketrafficmanagementsystem,autonomousvehicleforreal-timevehiclecontrol,PredictivemaintenanceinManufacturing,improvedSupplychainmanagementinretail,precisionagricultureusingDrones,livesecuritymonitoringincountrybordersusingIoTcameradevicesaresomeoftheusecaseswhichgetsthefullbenefitofedgecomputing.

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Figure:Edgecomputingfeaturesandbenefits

Bankingsectorisoneofthefastesttechnologyadapterasittargetsimprovedcustomerexperiencewithhigh-reliableandlow-latencyservices.Hence,EdgecomputingenablesmanyusecasesinBankingindustry.Someofthemarediscussedhere:

•MovecriticalIToperationstoedgecomputingtocreateleanandportablebranchesforbanks.

•Personalizationofcustomerengagementthroughimprovedcustomerexperiencethroughreliableandfastcontentdeliveryofstaticcontenthelpsseamlessuserexperienceandend-usergetsattractstoitinretailbanking.

•FrauddetectioninusertransactionisanimportantusecaseinBankingsectorwhichrequireshighattentionandquickerresolution.UsingEdgeservices,thiscanbeachievedatafasterratethroughcontinuousreal-timemonitoringandanalyticsontransactionanddetectanomalyinbehaviourandalertforfraudtransactionfaster.

•EnablereliablepaymentfacilitiesinPOSterminalsandATMbranchesthroughlocaledgeservices.

•Forwealthmanagementandassetmanagement,reliablehigh-frequencyalgorithmictrading(HFT),playsacriticalroleasitreliesondisparitiesinpriceforassetsandtradeproductsondifferentexchanges.Here,edgeplaysimportantroletomanagetradingfromlocaledgelocations.

EnablingUltraLow-LatencyApplications,IoT,andEdgeDeploymentsusing5GinCloudsolutions

Theintegrationof5Gtechnologywithcloudcomputinghasthepotentialtorevolutionizevariousindustriesbyfacilitatingthedevelopmentofultralow-latencyapplications,theInternetofThings(IoT),andedgecomputingdeployments.Thissynergynotonlyenhancestheperformanceofexistingcloud-basedsolutionsbutalsopavesthewayforinnovativeapplicationsandservices.

UltraLow-LatencyApplications

Theadventof5Gtechnologybringsunprecedentedspeedandlatencyimprovementstowirelesscommunications.Withlatencyaslowas1millisecond,5Genablesreal-timeprocessingandresponsiveness,whicharecriticalforapplicationsrequiringinstantaneousdatatransmissionand

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processing.Cloudcomputing,withitsvastcomputationalresourcesandscalableinfrastructure,complements5Gbyprovidingthenecessarybackendsupportfortheseapplications.

Oneofthemostnotablebeneficiariesofthissynergyisthefieldofaugmentedreality(AR)andvirtualreality(VR).Thehighdatatransferratesandlowlatencyof5Gensureaseamlessandimmersiveexperienceforusers,whilecloudcomputinghandlestheintensiveprocessinganddatastoragerequirements.ThiscombinationallowsformorecomplexandinteractiveAR/VRapplications,suchasremotesurgeries,virtualtrainingsimulations,andreal-timecollaborationtools.

InternetofThings(IoT)

TheproliferationofIoTdeviceshasledtoanexponentialincreaseinthevolumeofdatagenerated.Managingandprocessingthisdataefficientlyisasignificantchallengefortraditionalcomputinginfrastructures.However,thecombinationof5Gandcloudcomputingoffersarobustsolutiontothisproblem.

5GnetworksprovidethenecessarybandwidthandconnectivitytosupportamassivenumberofIoTdevices,ensuringreliableandconsistentdatatransmission.Atthesametime,cloudcomputingplatformsofferscalablestorageandprocessingcapabilities,allowingforreal-timeanalysisanddecision-making.Thissynergyisparticularlybeneficialforindustriessuchassmartcities,healthcare,agriculture,andmanufacturing,whereIoTdevicesplayacrucialroleinmonitoringandoptimizingvariousprocesses.

EdgeComputingDeployments

Edgecomputing,whichinvolvesprocessingdataclosertothesourceratherthanrelyingoncentralizedcloudservers,isgainingtractionduetoitsabilitytoreducelatencyandbandwidthconsumption.Theintegrationof5Gwithedgecomputingfurtherenhancesthesebenefits,enablingmoreefficientandresponsiveapplications.

Inthiscontext,5Gservesasthebackboneforedgecomputingdeployments,providinghigh-speedconnectivityandlow-latencycommunicationbetweendevicesandedgenodes.Cloudcomputing,ontheotherhand,offersthenecessaryinfrastructuretosupportedgedeployments,includingdatastorage,analytics,andmachinelearningcapabilities.Thiscombinationisparticularlyadvantageousforapplicationsthatrequirereal-timeprocessinganddecision-making,suchasautonomousvehicles,industrialautomation,andremotemonitoringsystems.

DevelopingCloudTechnologiesbyIndustries

Industriesacrossvarioussectorsareincreasinglyrecognizingthepotentialofcombining5Gandcloudcomputingtodriveinnovationandenhanceoperationalefficiency.Byleveragingthestrengthsofbothtechnologies,businessescandevelopnewcloud-basedsolutionsthatcatertotheevolvingdemandsofthemarket.

Forinstance,inthehealthcareindustry,thesynergybetween5Gandcloudcomputingenablesremotepatientmonitoring,telemedicine,andreal-timediagnostics,improvingpatientcareandreducinghealthcarecosts.Inthemanufacturingsector,thiscombinationfacilitatespredictivemaintenance,smartfactoryautomation,andsupplychainoptimization,leadingtoincreasedproductivityandreduceddowntime.

Similarly,theretailindustrycanbenefitfromenhancedcustomerexperiencesthroughpersonalizedrecommendations,seamlessomnichannelintegration,andefficientinventorymanagement.Thefinancialsector,too,standstogainfromimprovedfrauddetection,real-timetransactionprocessing,andenhancedcybersecuritymeasures.

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Thesynergybetween5Gandcloudcomputingisagame-changerforindustrieslookingtoleveragethepowerofultralow-latencyapplications,IoT,andedgedeployments.Bycombiningthehigh-speed,low-latencycapabilitiesof5Gwiththescalableandflexibleinfrastructureofcloudcomputing,businessescanunlocknewopportunitiesforinnovationandgrowth.Asthesetechnologiescontinuetoevolve,theirintegrationwillundoubtedlyleadtothedevelopmentofevenmoreadvancedandimpactfulcloud-basedsolutions.

DataSecurityandcompliancetogetdatasovereigntytoavoidcrossborderdataaccessfromclouddatacenterandenabledatamanagementthroughlocaledgecomputingandstorageservices.

WiprohasrecentlyimplementedEdgesolutionforagloballeaderinthelifesciencesindustry.Theclientaimedtoenhancetheirdeviceconnectivitycloudplatformandedgegatewaytointegratewithon-premisemedicaldevices,leveragingcloudPaaScomponentsforimprovedtimetomarket,quality,andreduceddependencyoncustomcomponents.

WiproSolution:

•Re-architectingandRe-designing:Wiprore-architectedandre-designedtheentirecloudandedgeplatformtoleveragecloud-nativePaaS.

•ComplexMulti-componentSolution:ThesolutionwasAzure-basedanddevoidofproprietaryelements,ensuringflexibilityandscalability.

•IoTEdgeProtocolTranslation:DeployedIoTedgeprotocoltranslationtocoverinterfaceslikeFHIR,HL7,andothermedicalequipment-specificinterfaces.

•CommunicationSecurity:Implementedsecurecommunicationbetweenmedicaldevices,edge,andcloudusingX.509attestationwithanexternalCA.

BenefitsDelivered:

•AcceleratedTimetoMarket:Thecomplexmulti-componentsolutionwasdeliveredwithanacceleratedtimetomarket,leveragingaquickramp-upofateamofexperts.

•SecureandScalableArchitecture:Thesolutionprovidedasecure,scalablearchitecturewithMicrosoftAssurance,managingavolumeofaround2000messagespersecond.

•ImprovedOperationalEfficiency:Theintegrationofcloud-nativePaaScomponentsandIoTedgeprotocoltranslationimprovedtheoveralloperationalefficiencyandreduceddependencyoncustomcomponents.

Wipro'sUniqueProposition:

•Cloud-FirstApproach:Wipro'scloud-firstapproach,basedonworkloadcategorizationandassessment,ensuredatailoredsolutionfortheclient.

•Hyper-ConvergedSolutions:Providedhyper-convergedsolutionsforremotesites,makingtheedgelighterandmoreefficient.

•ValidatedBlueprintsandStandardization:Deliveredstandardizedstacksandvalidatedblueprintsacrossregions,ensuringconsistencyandreliability.

•StrategicPartnerships:CollaboratedwithstrategicpartnerslikeNutanix,Dell,VMware,HPE,Cisco,andhyperscalers(AWS,MicrosoftAzure,Google)toenhancethesolution'svalueproposition.

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ServerlessComputing

Serverlesscomputing,alsoknownasFunctionasaService(FaaS),isgainingtractionasorganizationsseektostreamlinetheirdevelopmentprocessesandreduceoperationaloverhead.

Gartner's

analysisindicatesthatby2025,serverlesscomputingwillbeastandardpracticeforover50%ofglobalenterprises,comparedto30%in2024.

Theserverlessmodelallowsbusinessestofocusonwritingcodewithoutworryingaboutinfrastructuremanagement.Withserverlessapplications,codeispackagedintosmallunitscalled“functions”,whichgetsexecutedasamanagedservice.ThemostcommonlyusedexpressionofserverlesscomputingisFaaS,suchasAWS(AmazonWebServices)Lambda,orMicrosoftAzureFunctionsorGCP(GoogleCloudPlatform)cloudfunctionswhicharebeingasmanagedserviceandcomputingresourcesareprovisionedspecificallyforexecutionpurposeandthereisaminimaloperationcontrolsrequiredoncomputingresources;andwiththegrowingadoptionofcloudcomputing,customerarelookingforwaystoconsumeandoperateresourceseffectively;haveagility,scalabilityandspeedtoaccelerategotomarketstrategy.

Therearemanybenefitstouseserverlesscomputing:

1)Easytouseandconsumptionbasedcomputingresources;andallCSPsprovidetheseservicesontimemetricsiemilliseconds

2)Computeresourcescanbeshut-downtozerowhennotbeingusedandcanbeupandrunningontheflywhichenableflexibilityandscalabilityforcustomers

3)Thereareveryminimalornoclosetonoeffortsrequiredtomanagecomputingplatform;resourcesgetprovisionedandreleasedautomaticallyduringthefunctionexecution.

4)Enhancedeveloperexperience,whereindeveloperscanfocusmoreonapplicationdesign,newfunctionalitiescreationandconfigurationsthanmanaginginfrastructurerelatedmanagementorprovisioningetc.

5)ManyCSPsprovidefree-tierwhichhelpsdeveloperstoexperimentnewfeatures,functionalitiesanddorapidexperimentswithalowentrycostbarrier.

Whiletherearemanybenefits;therearepotentialareasforconsideration:

1)Vendorlock-in–Someofthesesolutionareproprietarytospecificproviders;incaseofapplicationtobemovedfromoneplatformtoanother;thiscouldpotentiallyincursignificanteffortsforre-engineeringandadditionalcostassociatedwithit.

2)Goingmonolithictomicroservicesandadoptserverlessarchitecturerequired