Jon Cohn Exton PA - Technology Trends – 2016 and beyond
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This document summarizes 9 key enterprise technology trends for 2016 based on an article from InfoWorld. The trends discussed include: 1) Cloud native applications using microservices and containers becoming more widely adopted. Kubernetes and the CNCF will help drive this trend. 2) Spark gaining prominence over Hadoop for real-time big data processing using small batches in memory. 3) Developers increasingly tapping into machine learning APIs in the cloud to build applications that recognize patterns in data. 4) Cisco's ACI reinventing SDN for large-scale enterprise deployments with open APIs and support from other vendors. 5) PaaS getting a second chance with support for Docker containers from CloudFoundry
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Jon Cohn Exton PA - Technology Trends – 2016 and beyond
- 1. JonCohn ExtonPA - TechnologyTrends – 2016 andbeyond Enterprise technologydevelopmentkeepsracingahead,andthisyear'sforecastexplainshow most of itwill be wrappedinthe cloud InfoWorld’sDavidLinthicumrecentlysuggesteditwastime to retire the phase “cloudcomputing” and simplysay“computing.”That’showessential cloudhasbecome -- andwhyforthe past couple of yearscloudhas framedmyannual attemptto identifythe nine keyenterprise techtrendsgoing forward. In 2015, it became a lotclearerwhat cloudinfrastructure inall itsscalable,self-service glorywillbe bestfor: runningapplicationscomposedof microservicesoutfittedwithRESTful APIs.Mostlikely those serviceswillrunincontainers,whichgive developersmore control thaneverinbuilding, testing,anddeployingapplications.Containersinturnsupportdevops,where opsleveragesnew automation,instrumentation,andmonitoring -- anddevstake new responsibilityforapplicationsin production. Sure,that’sone sort of cloudoperation,andfew have all those piecesinplace today.Butit's remarkable howquicklythissharedvisionof the future hascoalesced. Still,several elementsof thispicture needtobe completedbeforeyouraverage enterprisecan contemplate adoption.Whichbringsustoour firsttrendof 2016: 1. 'Cloudnative'shapesthe future Applicationsbuiltfrommicroservicesrunningincontainershave all sortsof advantagesover monolithicapplications.Firstandforemost,insteadof dealingwithobscure internal dependencies that make troubleshootingandupdatingpainful,youcanworkwithdecoupledservicesthatare individuallymonitoredandmanaged. But microservicesarchitecture addscomplications -- mainly,swarmsof containerstokeeptrackof. Andwhomanagesliterallybillionsof containersinproductioneveryday?Google,the companythat in2007 contributedthe Linux kernel’scgroupscontainerfeatureonwhichDockerwaslaterbuilt. Last year Google introducedthe opensource Kubernetesproject,whichdistillsGoogle’scontainer managementsystemintoopensource bitssomere mortalscanwrangle clustersof containersat scale.Thissummerthe project’sfounder,CraigMcLuckie,announcedthe formationof the CNCF (CloudNative ComputingFoundation),whichwill take Kubernetesasa startingpointto buildoutan ecosystemforcontainerscheduling,management,andorchestration.Watchthisspace carefully. 2. Spark 'streaming'accelerates A funnythinghappenedtobigdatain2015: Spark elbowedHadoopoutof the spotlight.Why? Because ratherthan processingdatainbigbatchesacross many disks,asHadoopdoes,Sparkworks itsmagic withsmall batchesinbigmemory -- close enoughtoreal time tobe indistinguishable from streaming.(Storm,atrue streamingsolution,hasalreadyfallenoutof favor.) ClouderaandIBMhave gone all-inwithSpark,while Amazon,Google,andMicrosoftofferSparkasa service intheirpublicclouds.ButSparkstill hasmajorannoyancesrelatingtomemorymanagement
- 2. and resiliency,amongotherdrawbacks.Withthiskindof momentum,though,youcanexpectmany such problemstobe addressedinthe comingyear. 3. Developerstapintomachine learning Notonlydo all the major cloudsnowofferanalyticsasa service,buttheyalsoprovide machine learningAPIsinthe cloud;plus,opensource machine learningtoolsabound.Ubiquitousmachine learningcapabilityenablesdeveloperstobuildapplicationsthatrecognize patternsingobsof data -- for frauddetection,face recognition,medical diagnoses,infrastructure optimization,Webad- serving,youname it. Of course,some commercial softwareandwebsiteshave hadmachine learningfeaturesforyears (foranticipatinguseractions,recommendingrelatedproducts,andsoon). The differencetodayis that machine learningisbrokenoutasa separate capabilityanydevelopercanexploit,andwe now have tonsof data and cloudcomputingcapacitytothrow at it,includingfancynew serversequipped withGPU acceleratorsto run machine learningalgorithms. 4. Cisco’sACIreinvigoratesSDN The veryideaof software-definednetworking(SDN) suggeststhat,eventually,hardware switches will become commoditized,whichiswhySDN hasbeenseenasan existential threattoCisco.Sofar, however,SDN adoptionhaslargelybeenconfinedtotelcoandcloudservice providersandhashad little impactonthe enterprise. NowCiscohas leapedaheadandintroducedanew SDN scheme dubbedApplicationCentric Infrastructure (ACI) thatincludesanew operationscontrol protocol,OpFlex,toreplace OpenFlow. Designedforlarge-scaledeployments,ACIpushesSDN inanew direction,distributingsome of the control overconfigurationtothe networkandgivingadminsthe abilitytoadjustsettingsata high level basedonapplicationrequirements. Most surprisingof all maybe the degree of openness.ACIusesRESTful APIs,andCiscohaspostedan opensource SDK alongwithvariousACItoolsonGitHub.Also,CiscohasproposedOpFlex asanboth an IETF standardand as an OpenDaylightproject,andOpFlex alreadyhasthe supportof Microsoft, IBM, F5, Citrix,RedHat, Canonical,andothers.ConsideringCisco’shuge enterprisemarketshare, thiscouldbe the jumpstartSDN needs. 5. PaaS getsa secondchance As AndrewOliver’sclassic2012 article “WhichfreakingPaaSshouldIuse?”made clear,the first generationof PaaSwasbedeviledbyarbitrarylimitations.Asaresult,enterprisePaaSadoptionhas beenrelativelyweak.Lotshashappenedrecently,though,includingarushto supportDockerby the twoleadingon-premisesPaaSofferings,CloudFoundryandOpenShift. I still believethat,onpremises,manyenterprisescanbenefitfromrunningPaaSasa modern,scale- out,polyglotversionof the goodoldapplicationserver.AccordingtoMartinHeller’srecent InfoWorldreview,OpenShiftEnterprise 3hasincorporatedDockercontainerswithoutskippinga beat:“For both developersandoperators,OpenShiftfulfillsthe promiseof PaaS.”
- 3. 6. SSDs takesa biggerbite out of the data center Alreadyflashbeatsspinningdiskinprice-performance forIOPS-intensive applicationssuchasVDIor high-performance databases,becauseequallyperformantspinningdiskrequiressomanyspindlesto keepup.All-flasharraysandSSD-packedserversare nolongerrare.Plus,everyone isexcitedabout 3D NAND,whichwill offermuchhigherSSDcapacitiesandperformance A numberof Internetgiantshave filledtheirdatacenterswithSSDsforpowerconservationaswell as performance reasons.Nonetheless,performance aside,the notionthatflashwill reachprice-per- gigabyte paritywithspinningdiskwillremainapipe dreamforyears.Spinningdiskhasmade itsown advances,includingheliumdrivesandshingledmagneticrecording,soSSDswon’tfullyreplace hard drivesanytime soon. 7. The hybridcloudgetsreal I’ve hadtrouble withthe phrase “hybridcloud.”Wasit supposedtomeanintegrationbetweenon- premisesinfrastructure andthe publiccloud?The integrationof anytwoclouds?If it requireda private cloudsetuplike a publiccloud,well,sofew of the formerexist,the hybridcloudmightas well be mythical. But Microsoftis changingthatwithitsAzure Stack for WindowsServer,whichenablescustomersto at leastpartially duplicateAzure publiccloudinfrastructurelocally.WhenWindowsServerand SystemCenter2016 shipnextyear,integratingthemwithAzurepromisestoyieldatrue hybridIaaS environment.Throughitsprofessionalservices,IBMappearstobe workinginthe same direction withhybridpublicandprivate cloudOpenStackdeployments. Amazonlacksa hybridplay(unlessyouconsidersome customers’effortstoduplicate theirlocal environmentsonAWS“hybrid”).Google doesn’thave ahybridplayeither,butthankstoKubernetes and the CNCF(see No.1) it'sonlya matter of time.Withthe recenthire of VMware co-founder Diane Greene toheadup Google Cloud,I’mfinallyconvincedthatGoogle isseriousaboutserving enterprise cloudcustomers,andahybridKubernetes(andmore) scheme will be partof the deal. 8. Machine learningampsupsecurity You’ve probablyheardaboutfinancial servicescompaniesusingmachine learningtodetectfraud. But othersecuritypossibilitiesformachine learningabound,suchasflaggingnetworkanomalies, trackinguserbehavior,ordetectingzero-daymalware. Cylance,whichrecentlypartneredwithDell,providesahigh-profileexample:The companyuses deeplearningalgorithmstodetectaclaimed99 percentof malware.Yetbuyerbeware,because machine learningalgorithmshave beenusedinsecurityapplicationsforyearswithvaryingsuccess and manyfalse positives.Advanceswill keepunfoldingthankstobigdata analyticsinthe cloud,but expectincremental gains,notmiracles. 9. Blockchainbreaksout Bitcoinhasbeentarnishedmanytimesover.Butblockchain,the mathematical magicbehindbitcoin, ison the verge of becomingaviable waytoensure the integrityof all kindsof transactions.Ina recentfeature article,InfoWorld’s PeterWaynercountedmore than100 companiesexploringways
- 4. to extendblockchainfortradingplatforms,IDcards,contracts,secure storage,and more.Yes,even banksare testingitout -- an indicationwe’ll seeblockchaingomainstreamin2016. Source : infoworld.com Recommendedby: JonCohn ,CTO, VP IT Architecture https://www.linkedin.com/in/jonacohn joncohn@comcast.net "JonCohn ExtonPA""JonCohn Exton""JonCohnEvolution" https://docs.google.com/document/d/1jhU5Mis7YoGzJvK85coGd8yZIHs-JnCG_cyz- p_y9Jk/edit?usp=sharing http://issuu.com/jonacohn/docs/jon.cohn.resume.docx https://www.scribd.com/doc/294344968/Jon-cohn-Resume http://www.slideshare.net/jonacohn/joncohnresume https://penzu.com/p/e1f1fb23 http://jonacohn.tumblr.com/post/136671484928/jon-a-cohn https://jonacohn.wordpress.com/2016/01/06/jon-a-cohn/ http://jonacohn.blogspot.com/2016/01/jon-cohn-resume.html www.slideserve.com/jonacohn/jon-a-cohn-exton-pa http://www.authorstream.com/Presentation/jonacohn-2711402-jon-cohn-exton-pa-19341/ www.slideserve.com/jonacohn/jon-a-cohn-exton-pa http://slideonline.com/presentation/99077-jon-a-cohn-exton-pa https://docs.google.com/document/d/1NJujdCMyQTF9qReGp6oMbmvWBXWEqP- u1avWwEMAgmo/edit?usp=sharing https://plus.google.com/105089455909133040148/posts/1j3SQfwm6QW http://jonacohn.blogspot.com/2016/01/knowledge-management-in-software.html