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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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Top Software testing trends to look out for in 2022

Testsigma

The software industry goes through a lot of research and modified methodologies that keep the software quality top-notch for the end-user. 2015 saw the trend of scriptless testing and IoT focussed methodologies. Again, this was shaped by the market trends and the increasing importance of both of this software.

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Object-Oriented Programming Simplifies Digital Twins

ScaleOut Software

These are exciting times in the evolution of stream-processing. As we have seen in previous blogs , the digital twin model offers a breakthrough approach to structuring stateful stream-processing applications. It represents a big step forward for building stream-processing applications.

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What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

REST APIs, authentication, databases, email, and video processing all have a home on serverless platforms. The Serverless Process. Performing updates, installing software, and resolving hardware issues requires up to 17 hours of developer time every week. Connecting IoT devices (for example, AWS IoT Device Management ).

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What is Azure Functions?

Dynatrace

Similar to AWS Lambda , Azure Functions is a serverless compute service by Microsoft that can run code in response to predetermined events or conditions (triggers), such as an order arriving on an IoT system, or a specific queue receiving a new message. It automatically manages all the computing resources those processes require.

Azure 136
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Digital Twins Enable Seamless Use of Edge Computing in IoT

ScaleOut Software

In previous blogs , we have explored the power of the digital twin model for stateful stream-processing. 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.,

IoT 45
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Object-Oriented Programming Simplifies Digital Twins

ScaleOut Software

These are exciting times in the evolution of stream-processing. As we have seen in previous blogs , the digital twin model offers a breakthrough approach to structuring stateful stream-processing applications. It represents a big step forward for building stream-processing applications.