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No need to compromise visibility in public clouds with the new Azure services supported by Dynatrace

Dynatrace

Our customers have frequently requested support for this first new batch of services, which cover databases, big data, networks, and computing. See the health of your big data resources at a glance. Azure HDInsight supports a broad range of use cases including data warehousing, machine learning, and IoT analytics.

Azure 147
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The Need for Real-Time Device Tracking

ScaleOut Software

We are increasingly surrounded by intelligent IoT devices, which have become an essential part of our lives and an integral component of business and industrial infrastructures. Conventional streaming analytics architectures have not kept up with the growing demands of IoT.

IoT 78
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Helios: hyperscale indexing for the cloud & edge – part 1

The Morning Paper

On the surface this is a paper about fast data ingestion from high-volume streams, with indexing to support efficient querying. Helios also serves as a reference architecture for how Microsoft envisions its next generation of distributed big-data processing systems being built. PVLDB’20. Emphasis mine ).

Cloud 104
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Expanding the AWS Cloud – Introducing the AWS Europe (Stockholm) Region

All Things Distributed

They can run applications in Sweden, serve end users across the Nordics with lower latency, and leverage advanced technologies such as containers, serverless computing, and more. The first platform is a real time, big data platform being used for analyzing traffic usage patterns to identify congestion and connectivity issues.

AWS 124
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Software Testing Trends 2021 – What can we expect?

Testsigma

The usage by advanced techniques such as RPA, Artificial Intelligence, machine learning and process mining is a hyper-automated application that improves employees and automates operations in a way which is considerably more efficient than conventional automation. IoT Test Automation. In 2021 what can we expect? billion USD by 2025.