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New analytics capabilities for messaging system-related anomalies

Dynatrace

We’ve introduced brand-new analytics capabilities by building on top of existing features for messaging systems. – DevOps Engineer, large healthcare company. The post New analytics capabilities for messaging system-related anomalies appeared first on Dynatrace blog. This is great! New to Dynatrace?

Analytics 246
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Understand and replay Android app crashes with Session Replay

Dynatrace

From banking and retail to healthcare and government, nearly all industries have experienced a dramatic shift to mobile computing over the last decade. Another nifty Session Replay feature is the ability to capture custom events—events that are not typically captured by default—irrespective of whether the codebase is Java or Kotlin.

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Citrix monitoring with Dynatrace: Easily observe your entire Citrix ecosystem

Dynatrace

Citrix is critical infrastructure For businesses operating in industries with strict regulations, such as healthcare, banking, or government, Citrix virtual apps and virtual desktops are essential for simplified infrastructure management, secure application delivery, and compliance requirements.

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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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2021 Data/AI Salary Survey

O'Reilly

When we looked at the most popular programming languages for data and AI practitioners, we didn’t see any surprises: Python was dominant (61%), followed by SQL (54%), JavaScript (32%), HTML (29%), Bash (29%), Java (24%), and R (20%). C++, C#, and C were further back in the list (12%, 12%, and 11%, respectively). Salaries by Tool and Platform.

Azure 145
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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