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New analytics capabilities for messaging system-related anomalies

Dynatrace

Messaging systems can significantly improve the reliability, performance, and scalability of the communication processes between applications and services. We’ve introduced brand-new analytics capabilities by building on top of existing features for messaging systems. – DevOps Engineer, large healthcare company.

Analytics 186
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Causal AI use cases for modern observability that can transform any business

Dynatrace

And while generative AI was much hyped in 2023, the deterministic quality of causal AI—which determines the precise root cause of an issue—is a key foundation for reliable recommendations that emerge from generative AI technologies. Healthcare. Further, not every business uses AI in the same way or for the same reasons.

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Sponsored Post: pMD, InMemory.Net, Triplebyte, Etleap, Stream, Scalyr

High Scalability

pMD is a fast­ growing , highly rated health care technology company that has been recognized as a Best Place to Work by SF Business Times, Modern Healthcare, and Inc. For heads of IT/Engineering responsible for building an analytics infrastructure , Etleap is an ETL solution for creating perfect data pipelines from day one.

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

ScaleOut Software

With the ScaleOut Digital Twin Streaming Service , an Azure-hosted cloud service, ScaleOut Software introduced breakthrough capabilities for streaming analytics using the real-time digital twin concept. Scaleout StreamServer® DT was created to meet this need.

IoT 52
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The Ultimate Guide to Open Source Databases

Percona

For example, an analytics application would work best with unstructured image files stored in a non-relational graph database. But vendor lock-in can occur, making a company susceptible to price hikes, paying for unnecessary technology, and being blocked from new technology that could be advantageous.

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Real-Time Digital Twins Simplify Code in Streaming Applications

ScaleOut Software

In its usage in streaming analytics, a real-time digital twin hosts an application-defined method for analyzing event messages from a single data source combined with an associated data object: The data object holds dynamic, contextual information about a single data source and the evolving results derived from analyzing incoming telemetry.

Code 52
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Real-Time Digital Twins Simplify Code in Streaming Applications

ScaleOut Software

In its usage in streaming analytics, a real-time digital twin hosts an application-defined method for analyzing event messages from a single data source combined with an associated data object: The data object holds dynamic, contextual information about a single data source and the evolving results derived from analyzing incoming telemetry.

Code 52