by Brad Johnson, on Oct 16, 2019 11:03:30 AM

In my most recent post, I made four recommendations about planning for an intelligent edge application. My primary takeaway was that building real-time applications requires a different mindset than building …

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Topics:Machine LearningStateful ApplicationsEdge AnalyticsManufacturingAsset TrackingAsset ManagementDigital TwinSWIM AIEdge Computingdistributed computingserverlessweb applicationsswimOSRESTstreamingweb agentsstreaming apiopen source softwaremicroservicesdatafabriccloud data analyticsapache sparkdecentralizeduse cases

by Krishnan Subramanian, on Oct 1, 2019 10:54:45 AM

As modern enterprises plan for Robotics and other IoT tools, they are forced to rethink their platforms to ensure that data flows smoothly from devices to edge to cloud. The …

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Topics:Stateful ApplicationsIndustrial IOTEdge AnalyticsManufacturingAsset TrackingAsset ManagementDigital TwinSWIM AIEdge ComputingFog ComputingdevopsSwim Enterprisedistributed computingserverlessswimOSmiddlewareRESTWARPstreamingoperating systemsweb agentsstreaming apistateful lambdaslambda functionsdatafabriccloud data analytics

by Simon Crosby, on Feb 28, 2019 11:20:30 AM

Application developers frequently choose REST in the name of simplicity, but for real-time apps, REST introduces unnecessary complexity and performance bottlenecks. REST based APIs, stateless computing and database-centric applications are the …

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Topics:Machine LearningStateful ApplicationsSWIM SoftwareIndustrial IOTSmart CitiesTraffic ManagementEdge AnalyticsManufacturingAsset TrackingDigital TwinEdge ComputingFog ComputingdevopsSwim Enterprisedistributed computing

by Simon Crosby, on Feb 26, 2019 10:49:31 AM

The web and IaaS clouds only work because of REST and stateless computing. That and a couple of other infrastructure abstractions: load balancing, and a database of some sort. The …

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Topics:Machine LearningStateful ApplicationsSWIM SoftwareIndustrial IOTEdge AnalyticsAsset TrackingAsset ManagementEdge ComputingSwim Enterprisedistributed computing

by Brad Johnson, on Dec 7, 2018 12:52:20 PM

How "smart" are today's Smart Cities, really? The buzz around Smart Cities has been going on for over a decade and the headlines keep coming. But how many “smart” cities …

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Topics:Machine LearningStateful ApplicationsSWIM SoftwareSmart CitiesTraffic ManagementSmart BuildingsEdge AnalyticsAsset TrackingDigital TwinEdge ComputingSWIM EDX

by Brad Johnson, on Jul 3, 2018 5:16:51 PM

I’ve read (and written) a lot about edge computing over the past year, and it seems like the edge story is continually pitched as being in competition with cloud technologies …

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Topics:Machine LearningStateful ApplicationsIndustrial IOTEdge AnalyticsManufacturingAsset TrackingEdge ComputingSWIM EDX

by Brad Johnson, on Jun 4, 2018 2:16:10 PM

STATEFUL SERVICES, THE DISTRIBUTED ACTOR MODEL & MACHINE LEARNING I’ve been attending a few technology conferences recently, and it seems like there’s a renewed buzz around digital twins. If you’re …

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Topics:Machine LearningStateful ApplicationsIndustrial IOTSmart CitiesManufacturingAsset TrackingAsset ManagementDigital TwinSWIM AIEdge ComputingSWIM EDX

by Brad Johnson, on Feb 9, 2018 10:37:17 AM

Businesses are rapidly adding new devices, tags, sensors, automation, software and compute elements to help track and optimize business performance – but are rarely able to act on the data …

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Topics:Machine LearningStateful ApplicationsSWIM SoftwareIndustrial IOTSWIM Inc.Edge AnalyticsManufacturingAsset TrackingAsset ManagementSWIM AIEdge ComputingFog Computing

by Brad Johnson, on Jan 23, 2018 12:12:00 PM

Big Data was never going to be a universal panacea. The goals of Big Data are clear, monitor and measure enterprise business and processes, analyse and act on that data …

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Topics:Machine LearningStateful ApplicationsSWIM SoftwareIndustrial IOTEdge AnalyticsManufacturingAsset TrackingAsset ManagementSWIM AIEdge ComputingFog Computing

by Brad Johnson, on Sep 1, 2017 11:10:52 AM

These are the four RFID Use Cases that use Edge Computing to significantly increase productivity, gain actionable insights from data lakes, and optimize existing processes. By processing data at the …

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Topics:Machine LearningSWIM SoftwareIndustrial IOTEdge AnalyticsManufacturingAsset TrackingAsset Management

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