2020-2021 full-stack developmentfull-stack development ... , but in a nutshell, it’s the concept...
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630.692.6700 | aptude.com
The Future of Full-Stack DevelopmentIt’snosecretthattheITanddigitalworldasawholeisblowingupandseeingatremendousamountofgrowth.AccordingtoGartner,worldwideITspendingisprojectedtototal$3.8trillionin2019.Full-stackdevelopersareworkingfuriouslytokeepupwiththeindustry’sgrowth,meetdemands,andadvancebystickingwiththe followingtrends.
Language – Still JavascriptWhenitcomestolanguagepreference,Javascriptstillwinsduetoitspowerandflexibility-it’stheIronManoflanguages.AccordingtoHackRank’s2019editionofitsDeveloperSkillsReportthatsurveyedover71,000softwaredevelopersfrommorethan100countries,Seventy-threepercentofdeveloperssaidtheyknewJavascriptin2018,upfrom66percentin2017andwasthemostwell-knownlanguage.Thatbeingsaid,developerswhoparticipatedinthesamereportindicatedthatthey’reeagertolearnlanguagesincludingGo,Kotlin,andPythonthisyear.
IoT applicationsYes,thatmagicconcept“InternetofThings(IoT).”It’sbeenabuzzwordintheindustrylately,althoughtheconcepthasbeenaroundforquitealongtime.ManyindustryprofessionalshavetheirowndefinitionofwhatIoTis,butinanutshell,it’stheconceptofunitingandconnectingtechnologies.AccordingtoPWCestimates,morethan90%
ofcarswillbeIoTenabledby2020.Thishighdegreeofconnectivityandcontrolisexpectedtoprovidegreaterefficiencyinthefieldsoftransportation,logisticsandsupplychains.IoTisthemostrealisticnewtechnologywiththisincreasingconnectivity.Sure,thiscouldbescary,butfromaconsumertoanindustriallevel,withonesimpleappwecanpayforourmorninglattewithourphoneorrundiagnosticsonamulti-million-dollarpieceofmachinery.Thetechnologyiseverywhereandsolutionsareinhigherdemandnowmorethanever.DevelopershavetheirhandsfullwiththeIoTmarketplace.WithsomanyIoTdevicescomingonline,thenetworkandsoftwaretohelpsecureeverythingwillkeepdevelopersverybusy,nottomentionhowintegratedanIoTframeworkfunctions.DevelopersneedtoenhancetheirbusinessintelligencetokeepuptospeedwithhowtotrulybuildanIoTsolutionforthebusiness.Thisisatrendthatisdefinitelynotgoingtobesettlingdownanytimesoon.
Artificial IntelligenceIntheareaofartificialintelligence,enterpriseimplementationswilllikelycontinuetoincreaseinthecomingyear.InDeloitte’s2018AISurvey,58percentofrespondentsclaimedtheyhadundertakensixormorefullAIimplementations—upfrom32percentthepreviousyear.Thatbeingsaid,thereisahighdemandforAI-enabledcommunication,automationand
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analyticssolutions.ThinkofAmazon’sAlexaorMicrosoft’sCortana-theseAIbotsareperfectexamplesofhowAIistrendingandhowdevelopersareworkingwithittocompletelytransformhowbrandscommunicatewithcustomers.MoreindustriesarealsoworkingwithAIcapabilitiestomakesmarterandfasterbusinessdecisions.AccordingtoareportbyPWCandCBInsights,fundingforUSbasedAIcompanieswascloseto$2.3billionin2018.AItechisrapidlyincreasing.Forinstance,robotscannowbeprogrammedtoorganizeandtakeinventoryofwarehousesandtransportitems.Theseinitiativesmeanincreasedefficienciesatalessercostformanybusinesses.
Enhanced Web ExperienceThere’salotdevelopersaredoingrightnowwithwebsitestoenhancethelook,feel,andperformance.Firstlet’sdefine“MotionUI.”MotionUIincludesallofthosefancygraphics,transitions,andanimationsonawebsitethatmakestheuserinterfacemoreexcitingandinteractive.ThetrendofMotionUIreallyaccommodatesforauser’sdemandforamoreinteractivewebexperience.Doesanyonereallyenjoylookingataboring,staticwebpage?Alsotrendingrightnowistheneedforwebsitestoperformwellonmobiledevices.Thesedays,developersarethinkingabout
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Emily GuentherisawriterandeditorwithabackgroundinavarietyofindustriesincludingIT/OT,engineering,robotics,cloud,IndustrialInternetofThings(IIoT),dataanalytics,Industrie4.0,amongothers.EmilycurrentlyworksinB2Bmedia,cateringtoanaudiencethatneedstokeeptheirfingeronthepulseofwhatisnewandupcominginregardstothenewesttechnologies,industrialandtechnicalproducts,concepts,andtrendsforanumberofindustriesincludingengineering.Inaworldthatisconstantlyadvancingandevolvingtothenextbestthing,Emilyworkswithnumerousindustryprofessionalstostayaheadofindustrytrendsandtechnologiesthatarerevolutionizingthedigitalworld.
aprogressivewebapp,anativeapp,orresponsivewebsite.Isyourbusiness0outofthosethree?You’redoingitwrong.AccordingtoStatista,in2018,approximately52percentofallwebsitetrafficworldwidewasgeneratedthroughmobilephones.That’shuge!Inshort,developersareworkingfuriouslytomakewebsitesreallyprettyandinteractive,fast,informative,andtop-rankingtonotonlyappeaseenduserdemands,buttoalsoaccommodateforthebottomline.It’sabiginvestmenttoredesignanentirewebsiteforalargebusinessandifit’snotgettingalotoftraffic,thatcouldmeanlostrevenue.Forexample,statisticsshowthat38percentofvisitorswillstopengagingwithawebsiteifthecopy/layoutisflat-outugly.That’sit!IfthehomepagelookslikeitwasdesignedwithMicrosoftFrontPage,well…thatcouldmeanmoneyisflyingoutthedoor.
Minimizing code developmentInaworldwheremanycompaniesareknee-deepinadigitaltransformation,it’stoacompany’sadvantagetoworkwithlow-codedevelopment.However,it’simportanttoknowwhenyoushoulduseit,andwhentosteerclearofit.Low-codedevelopmentplatformsmakeiteasierforanyonetowritesoftwarequicklyinordertodotheirjobsmoreeffectively.Low-codedevelopmentreallyallowssomeonetodevelopanapplicationwithpre-builtfunctions.Thisobviouslysavesalotoftimefromthedeveloper’sperspective,andalsoallowsthenot-so-advancedprogrammertodomorewithlessadvancedskills.Thelow-codemarketisestimatedtogrowby$27billionby2022,accordingtoMarketsandMarkets.Low-codedevelopmentisidealforbusinessesthatneedtobuildmanyapplicationsthatneedtofunctionacrossmanydevices.Aspreviously
mentioned,there’sahighdemandforapplicationdevelopmentanditmakessensethatbusinessesareembracingthistrendtomeetthatdemand.Low-codedevelopmentmeansyourdeveloperscanfocusonmorecomplexissuesanddelivermorecreativesolutions.
Thesetrendsareimpactingbusinessesinahugeway.Developersnowmorethaneverarecollaboratingwithmemberswithintheorganizationtomakedecisionsbasedonhowtheirapplicationswillimpactthebusiness,notjusttheenduserexperience.Sincefull-stackdeveloperslookatboththefrontandback-endofanapplication,theyaretheoneswhoneedtostepoutandlookatthewholepictureonhowtheirdecisionswillmakethatmoneymove.
Benefits and Challenges of Using Microservices with Big Data ApplicationsWhileimplementationofDevOpspracticeshasbeenontheriselately,aslightlylesser-knownconcepthasalsobeengainingpopularity–microservices.Theideabehindmicroservicearchitectureistobuildyourapplicationasmanyindependentservicesratherthanonelargecodebase(commonlyreferredtoasamonolith).Ratherthanaccessingthemajorityofyourdatausinglargedatabases,communicationisoftenhandledwithAPIcallsbetweentheservices,witheachservicehavingitsownlightweightdatabase.Microservicearchitecturedoesn’tnecessarilymandateanymorethanthecoreconceptsmentionedabove,buttherearemanyotherbestpracticesthathelpfacilitatebetterintegrationacrossmanyfacetsofsoftwaredevelopmentlifecycles.Theprimarypracticesassociatedwithmicroservicesincludecontainerization,continuousintegration,DevOps,automatedintegrationtesting,and–inmanycases-theAgiledevelopmentmethodology.
When implemented properly in combination with these best practices, implementation of microservices can deliver many benefits to your project’s application, including:
Easier deployment processWhendeployingupdatestoaparticularfeature,theentireapplicationdoesnotneedtobere-deployed–justtheservicethatyouwantupdated.
Use of varied programming languages and technology stacksMicroservicesgiveyoutheabilitytousedifferenttechnologystacksacrossyourmicroservices–wanttouseJavaandScala?Goforit!Additionally,thismakesitmucheasiertomigratetodifferenttechnologystacksthanwithamonolithapplication. Better failure detectionWithmicroservices,itiseasiertomonitoranddetectwhenoneofyourserviceshasanissue.Ofcourse,thisrequiresthattherightsoftwarebeinplacetomonitorsaidservices. Enhanced continuous integration and deploymentSpreadingyourapplicationacrossmanydifferentcoderepositoriesmakesiteasierfordeveloperstoconstantlypushchangestotheirmicroservices,andalsomakesforeasierautomationtesting.
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There are several different technologies and platforms that help enable microservice architecture to succeed. Here’s a few of the important ones:
Containerization PlatformsMovingbetweendevelopingfeaturesonmanydifferentmicroserviceslocallywouldbeanightmaretosetup,butthankfullyplatformslikeDockerandVMwarevSphereallowyoutodeployimagesonyourcomputerlocally,regardlessofwhatoperatingsystemyouuse. Deployment Automation ToolsAutomationsoftwarelikeJenkins,Puppet,andChefpairwellwithmicroservicearchitectureallowingyoutoachievetruecontinuousintegrationanddeployment. Automated Integration Testing PlatformsTherearewaytoomanyintegrationtestingsuitesavailabletolisthere,althoughSeleniumisprobablyoneofthemostpopularchoices.TheseplatformsplayaveryimportantroleinContinuousIntegrationandmicroservicearchitecture(andforanyapplication,really).
There are also some technologies related to Big Data systems that integrate well with microservice architecture:
Messaging SystemsLightweightmessagingisrequiredformicroservicestosucceed–especiallywiththesignificantamountofAPIcallsbeingmade.CommonlyusedplatformsincludeApacheKafka,AmazonKinesis,andRabbitMQ.WhilenotnecessarilyaBigDatatechnology,thesesystemsarecommonlyusedwithBigDataplatforms.
Orchestration SystemsPlatformssuchasKubernetesandApache’sMesosdistributeworkloadsacrossdistributedcomputedplatforms(suchasApache’sHadoop). Cloud computing with Big DataServiceslikeAmazon’sAWSandMicrosoft’sAzurehavereallybeenleadingthewayincloudcomputingsolutionsgearedtowardsBigDatasolutions,allowingforeaseofdeploymentandscalingofresources–whichisessentialformicroservicestorealizetheirfullpotential.
BenefitsofusingmicroserviceswithBigDatasystems AsidefromissueswithdatavisualizationandthefunctionalchallengesofplanningandimplementingBigDatasolutions,microservicescanhelpaddress–tosomeextent–someofthehurdlescompaniesoftenface.HereareafewofthemostimportantissuesrelatedtoBigDatainitiatives,andhowmicroservicearchitecturecanhelpout.
Application ScalabilityOneofthebiggestbenefitsofusingmicroservicearchitectureforBigDataapplicationsisthescalabilityitprovides.Whilenotnecessarilysynonymouswithcloudcomputing,itisrelativelycommonthatthetwoareutilizedtogether.Atraditionalmonolithapplicationdoesn’thavetheflexibilityofapplicationsbuiltonmicroservices.Witheachservicerunningindependently,theserverstheyresideoncanscaleupanddowninresourcesas
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needed.ThisisespeciallyimportantforBigDatasystems,whichtendtoberesourcehogsastheyhandledataatahighvolumeandvelocity.
Data QualityAsdataflowsthroughtheingestionprocess,therearemanypointsoffailurethatcanoccur,anddataqualityisoneofthebiggestchallengesassociatedwithBigDatainitiatives.Whiledataqualityisamulti-facetedissue,includingmanyfunctionalaspects,microservicescanalsohelpinthisregard.Softwaredevelopmentteamsthatarecreatingthemicroserviceshaveamuchmorefocusedtaskathand.Sinceeachservicehasafocusedtask,itmakesiteasiertocreate,maintain,andtestservicesastheyflowthroughyourapplicationsingestionandtransformationprocess.
Talent Allocation and AcquisitionAsmentionedpreviouslyinthisarticle,microservicesallowforusingvarioustechnologystacksacrossyourservices.Thisalsoallowsyoutostaffyoursoftwareengineeringteamsaccordingly.Therearemanydifferentapproachestoarchitectureinregardstohowworkisdistributedacrossteams,buthavingcross-functionalteamsismorecommoninapplicationswithmicroservicearchitecture.Sincetheservicesarenotascomplexasamonolithapplication,theyaremucheasiertounderstand,makingiteasierfordevelopersnotfamiliarwiththecode–or,insomeinstances,theprogramminglanguage–toaddfeaturesormodifications.Withtheabilitytouseavarietyofprogramminglanguagesandtechnologystacks,thisalsomakesthetalentpoolofavailablehiressignificantlylarger.Ofcourse,
youwouldn’twantyourtechnologyplatformstobecometoofragmented–usuallycompanieswilllimittheirchoicesbetween2or3mainprogramminglanguagesandassociatedtechnologies.
Challengeswithimplementingmicroservicearchitecture Ofcourse,allthebenefitsofmicroservicesdocomewithsomecaveats.
Additional Staffing NeedsAlthoughmicroserviceshavethebenefitofbeingabletoreachintoamorediversetalentpoolofdevelopers,thereareadditionalrolesthatneedtobefilled.TheaddedlayerofcomplexityofutilizingmicroservicesincoordinationwithContinuousIntegrationrequiressomeseriousDevOpstalent,whichcanbehardtofind–whichiscompoundedbythefactthatit’salreadyhardenoughtofindtopBigDataresources.Additionally,we’vebeenbuildingmonolithapplicationssolongthatnoteveryoneisfamiliarwiththearchitecture,whichcomplicatesthesituationevenmoreiftryingtoimplementmicroservicesinanexistingmonolithenvironment.
Added project complexityThereisalsoagreatdealofcross-teamcoordinationrequiredtoensurethatredundantservicesarenotbeingbuilt,whilealsomakingsurethatdataformatsareconsistentlymaintainedwhilecommunicatedacrosstheservices.Thisissueisparticularlychallengingtoaddress,sinceteamsworkingonisolatedcode
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repositoriesoftenwillhavelimitedknowledgeoftheotherservicesbeingdeveloped,especiallywithlargerapplications.Onewaytoovercomethischallengeistodividetheworkloadintosmallverticalslices,andhaveteamsgainexposuretodifferentpiecesoftheapplicationovertime.Thisapproachdoesrequireprogrammersthatcandevelopthefullstack–bothfront-endandbackend.
Project costsAnotherconsiderationistheadditionaloverheadofthearchitecture–costsarelikelygoingtobemuchhigherwithrunningmanymicroserviceinstances,includingthecostofservers,databaselicenses(ifapplicable),andfindingtherighttalenttobuildtheservices.
Isthemicroservicearchitecturerightforyourenvironment?OneofthereasonsmicroservicescouldbepotentiallymorecompellingforaBigDatainitiativeisthatmanyoftheprojectsaregroundflooropportunities–BigDatahasbeenaroundforawhilenow,butmanyprojectsarenewinitiatives.Implementingmicroservicesintoanexistingprojectwouldbecomplicatedandexpensive,anditmaybehardtojustifythecostoftheundertaking.Likemanyrelativelynewconcepts,microservicesarenotuniversallyacceptedastherightarchitecturefortheirtechnologyenvironment.However,thearchitecturehasbeensuccessfullyimplementedbymanybigtech-savvyorganizations,includingUber,Amazon,Netflix,andEbay–tonameafew.It’scommonknowledgethatBigDatascalabilityisamajorconcern–youcanonlythrowsomuchhardwareataproblembeforepoorlyplannedarchitecturemakes
itbecomeunmanageable.Aswithmanytechnologyimplementations,overtimethesystemsgainaddedfunctionalityandespeciallyinthecaseofBigData,highervelocity,variety,andvolume.Adaptingamicroservicearchitecturecouldhelpoffsetthesechallengesinthefutureifimplementedproperly.Thoughimplementationofmicroservicesischallenging,manywouldagreethatthebenefitsoutweightheadditionalcostandapplicationcomplexity.Attheveryleast,ifyou’restartinganewBigDatainitiativeitwouldbeworthyourtimetoconsideranalyzingitasaviableoption.
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Let’stalkapplicationsforasecond.Weallusethem,they’reapartofoureverydaylives,andweallfeelthatthey’reabsolutelycriticaltoourproductivity.Intoday’salways-onworld,appsandservicesarethecoredeliverymechanismofcontentanddatathatweabsolutelyrelyupon.Thatsaid,newconceptsforcedigitally-nativeorganizationstoconstantlyreevaluatecoreapplicationsandhowthey’re beingdelivered.Asorganizationsgrowandusersevolve,applicationsdevelopedjustafewyearsagocanalreadybeseenaslegacy.Furthermore,theybecomeevenmorecomplexandchallengingtomanage.Asmanyorganizationsarerealizing,tryingtobeagilewithanapplicationoraservicethat’sjustagiantballofmudcanbeexceedinglyfrustratingandchallenging. Howdoyoudevelopnewservices?Howdoyouscaletosupportyourbusiness?Whatcanyoudotoreducereleasecyclesandimproveperformance?Inmyexperience,thesearemajorreasonswhyleadersaresittingdownandaskingtheapplicationmodernizationquestions.Theseprojectsmaynotbeeasy,theymaytakesometime,andtheywillabsolutelytouchsomeofyourbusiness’smostcriticalcomponents.But,tostaycompetitiveinadigitalmarket–thishastobedone.
Onegreatwaytoaccomplishthisisthroughthedeploymentofmicroservices.
BeforeyouglazeovertoomuchnowthatI’vementionedyetanothertechnologyandmarketingterm,let’spauseheresoyoucanactuallyunderstandwhatmicroservicesdo.Togettothatpoint,we’lldiveintoyourapplication,howit’llbecometransformedviamicroservices,andwhattheendstatewillactuallylooklike.
First,it’simportanttounderstandyourinitialstate.Thisisyourapplicationasitsitstoday.Youoperatewithmodulesoffunctionsandservicesthattrytointeracttogether.You’lllikelyhavesomechallengesaroundreleasecyclesandevenfeatureupgrades.Inthismonolithicstate,you’llhavetodosomereworkingjusttogetanupdatedone.Withinyourapplicationandtheapplicationbackend,you’llhavemodulesthatarecarryingoutvarioustypesoffunctionsthatareminimallycontrolled.Atthispoint,it’schallengingtoscale,forecastdemand,monitorservicehealth,andevenscaleintocloud.
MonolithtoMicroservicesStep 1: Splitting legacy application modules and components into microservices. Inthisfirststep,you’llbesittingdownwithyourarchitects,engineers,andDevOpsteam.You’lltakeacloselookatyourapplicationandreallyunderstandalloftheindividualfeatures,modules,andcomponentsthatyouhave.Fromthere,you’llbegintoredesigntheapplicationintoasetofserviceswithverylimitedresponsibilities.
Getting Rid of that Legacy Ball of Mud:
How to Deploy Microservices
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Todothis,you’llbedoingstep-by-stepfunctionalityextractiontospecificservicesintodocumentedinterfaces.Onceyoudesignthoseservices,theremainingpartsoftheapplicationwillberefactoredtousethesenewlyintroducedservices.Allofthesenewserviceswillbedevelopedandwilllivewithinthesameapplicationinfrastructure.
Step 2: Introducing the microservices infrastructure. Atthispoint,you’llknowwhichpartsofyourapplicationarenowdesignedintospecificserviceswithverysetresponsibilities.Now,you’llstarttoreallydesignthesemicroservices.Withintheinfrastructure,you’llleveragetoolslikenetworkmonitoring,CPUusage,serviceshealthchecks,andsoon.You’llalsousethingslikeauto-discoverytoprovidetheabilitytoregisterkeyservices,instances,andcreatethecommunicationchainbetweenservicesandtheconsumersofthoseservices.Fromthere,you’llgatherstatisticsinreal-timeandprovidethosebacktoadministratorsanddevelopersinauser-friendlyway.Finally,alloftheextractedapplicationserviceswillnowbemovedintoyournewlydevelopedmicroservicesarchitecture.Remember,thiscanbeon-premise,inahybridarchitecture,orthepubliccloud.
Step 3: Repeating step 1 and step 2 for all modules and legacy components. So,youjustdidallofthisforoneapplicationfeatureorfunction.You’llnowneedtodothisfortheremainingfunctionsaswell.Atthispoint,theprocessofservicesextractionwillbeexecuteduntilallapplicationfeatureswillbecoveredbyyournewapproach.Step 4: Achieving your target state with an elastic and highly scalable solution. Atthispoint,you’reprovidingapplicationfunctionalitythroughasetofmicroservices.OthercoreaspectsofthedesignmightbeanAPIgatewaywhichhelpsprovidefunctionsandfeaturestothefront-endandtheconsumeroftherespectivemicroservices.It’sanimportantpieceofthedesignastheAPIgatewayaggregatesrequireddataandprepsitforspecificrequirements.
Atthispoint,you’llhaveahappyandagileapplication.Mostofall,you’llhaveamuchhappierDevOpsteamthatnolongerfearsreleasecyclesandcansupportyourgrowingrequirements.You’llbeabletoreleasefeaturesquickly,focusoncoreserviceswithintheapplication,andintroduceanentirelynewwaytoscaleintothecloud.
Bill Kleymanbringsmorethan15yearsofexperiencetohisroleasExecutiveVicePresidentofDigitalSolutionsatSwitch.Usingthelatestinnovations,suchasAI,machinelearning,datacenterdesign,DevOps,cloudandadvancedtechnologies,Mr.Kleymandeliverssolutionstocustomersthathelpthemachievetheirbusinessgoalsandremaincompetitiveintheirmarket.Anactivememberinthetechnologyindustry,hewasranked#16globallyintheOnalyticastudythatreviewedthetop100mostinfluentialindividualsinthecloudlandscape;and#4inanotherOnalyticastudythatreviewedtheindustry’stopDataSecurityExperts.
Front-end&back-enddevelopmentarethetwoessentialfieldsthatmakeupacompletefull-stackskillset.Wehavemasteredboth. Full-StackDevelopmentislikeplayingoffenseanddefensiveonanAmericanfootballteamwhilecoachingthequarterback.There’salottomanage.Thatiswhyourdevelopershaveobtainedthegeneralknowledgenecessaryacrossawidebreadthoftechnologiesandplatformsaswellasin-depthexperienceandspecializationincriticalareasthatfulfillacomprehensivefull-stackcapabilitywecanconfidentlyofferasafeaturedservice.
Full-Stack Development
We Can Do MEAN FullStackDevelopmentisahighlydifficultskillsettoachieve,asthereareacountlessnumberofmovingpartsthatmustworkinunisontoperformcorrectly.AtAptude,wecompletelyunderstandhowthesefourseparatescriptsworktogetherforserver-sideandclient-sideexecutionenvironments.Wehavethestaffthatcancreateelegantsolutionstoeveryoneofyourdatabaserequirements.AptudehastheexperiencetoutilizeMEANeffectivelyandmaximizeyourdata’sfullpotential.
Efficient & Cost Effective Support It’simportanttohaveasolidteamthatunderstandsJavaScriptinside-out.
WecanoffersupportsolutionstoassistasneededwhichcanfreeupyourseniorITstafffromtheoverwhelmingburdenofday-to-daymaintenanceissues.Yourteamcanfinallyattendtooffensiveforward-thinkingprojectsandnewapplicationdevelopmentwhileourtechnicalstaffplaysdefensetroubleshootingthesystem.Contactustoday.
WO
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T Whataretheissuesyouarecurrentlyfacingintermsofdatadelivery?
Isyoursystemutilizingmicroservices?Whatkindsofmodificationshaveyoumade?
Intermsofdata,howmanydifferentsourcesareyoucurrentlydealingwith?
Whatdoyoufeelisthelargestobstacleinmakingthesystemmoreefficient?
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Fromongoingstaffingneedstoarich,Agiledriven24/7onsite/offshoremodel,Aptudeisheretodelivermanagedresults.
Mexico City works during your hours Sometimes,thetimedifferencewithoffshoretalentcanbeapositive,especiallywhenthatteamiscovering24/7/365supportservices.Butforotherpressinginitiatives,you’llwanttohavesupportthat’sworkingatthesametimeyouronshoreteamisintheoffice.AteaminMexicoCitycancoverallAmericantimezonesmorereadilythanresourcesacrosstheglobe.Nomorewaitingforanafternoonphonecall–youcanhaveaccesstoyourteamwhenyouneeditmost.
Ease of Access Withanearshoreteam,there’slesstimeonanairplanetoaccesstheteamdirectly.
ByinvestinginMexico,Aptudeisinvestinginourclients.WeareanMSCapplicantfocusinginnewtechnologiessuchasblockchain,predictiveanalyticsandmorewiththeabilitytohirethebestandbrightestbothlocallyandabroad.
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AptudehasofficesthroughouttheUSandallaroundtheworldthatprovideonshore,nearshoreandoffshorecapabilities.
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