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Adding New Capabilities for Real-Time Analytics to Azure IoT

ScaleOut Software

The population of intelligent IoT devices is exploding, and they are generating more telemetry than ever. The Microsoft Azure IoT ecosystem offers a rich set of capabilities for processing IoT telemetry, from its arrival in the cloud through its storage in databases and data lakes.

IoT 52
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What is AWS Lambda?

Dynatrace

AWS Lambda is a serverless compute service that can run code in response to predetermined events or conditions and automatically manage all the computing resources required for those processes. Customizing and connecting these services requires code. What is AWS Lambda? The Amazon Web Services ecosystem. How does AWS Lambda work?

Lambda 187
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Digital Twins Enable Seamless Use of Edge Computing in IoT

ScaleOut Software

Digital twins are software abstractions that track the behavior of individual devices in IoT applications. Because real-world IoT applications can track thousands of devices or other entities (e.g., In previous blogs , we have explored the power of the digital twin model for stateful stream-processing.

IoT 45
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What is observability? Not just logs, metrics and traces

Dynatrace

DevSecOps teams can tap observability to get more insights into the apps they develop, and automate testing and CI/CD processes so they can release better quality code faster. Distributed tracing: This displays activity of a transaction or request as it flows through applications and shows how services connect, including code-level details.

Metrics 363
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Digital Twins Enable Seamless Use of Edge Computing in IoT

ScaleOut Software

Digital twins are software abstractions that track the behavior of individual devices in IoT applications. Because real-world IoT applications can track thousands of devices or other entities (e.g., In previous blogs , we have explored the power of the digital twin model for stateful stream-processing.

IoT 40
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Deploying Real-Time Digital Twins On Premises with ScaleOut StreamServer DT

ScaleOut Software

Because it runs on a scalable, highly available in-memory computing platform, it can do all this simultaneously for hundreds of thousands or even millions of data sources. Message are delivered to the grid using messaging hubs, such as Azure IoT Hub, AWS IoT Core, Kafka, a built-in REST service, or directly using APIs.

IoT 52
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Towards a Reliable Device Management Platform

The Netflix TechBlog

The challenge, then, is to be able to ingest and process these events in a scalable manner, i.e., scaling with the number of devices, which will be the focus of this blog post. In addition, Akka and Alpakka-Kafka code is much less terse than the other solutions out there, which lowers the learning curve for maintainers.

Latency 213