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Optimizing Python code during development

Dynatrace

As a member of the Platform Extensions practice I am one of the subject matter experts responsible for all services related to expanding the visibility of Dynatrace into technologies which aren’t available out of the box. For this blog post I want to focus on how you can leverage Dynatrace to get a lot of insight into your plugin code.

Code 116
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Azure Well-Architected Framework: What it is and how to tame it with AI and automation

Dynatrace

As organizations adopt microservices architecture with cloud-native technologies such as Microsoft Azure , many quickly notice an increase in operational complexity. Design efficient use of your computing resources as demand changes and technologies evolves. Dynatrace news. Operational excellence. Performance efficiency. Reliability.

Azure 184
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Developing Real-Time Digital Twins for Cloud Deployment

ScaleOut Software

This allows application code to introspect on the dynamic behavior of each data source, maintain synthetic metrics which aid the analysis, and create alerts when conditions require. They make use of standard object-oriented concepts and languages (such as C#, Java, and JavaScript). Debugging with a Mock Environment.

Cloud 52
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Developing Real-Time Digital Twins for Cloud Deployment

ScaleOut Software

This allows application code to introspect on the dynamic behavior of each data source, maintain synthetic metrics which aid the analysis, and create alerts when conditions require. They make use of standard object-oriented concepts and languages (such as C#, Java, and JavaScript). Debugging with a Mock Environment.

Cloud 52
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The Pursuit of Appiness

Alex Russell

The closer one looks, the less a definition of "appiness" can be pinned down to specific technologies. Why are iOS apps "direct metal" binaries while Android apps use Java runtimes? Industry commentators often write as though the transition to mobile rigidly aligned OSes with specific technology platforms.

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Transforming enterprise integration with reactive streams

O'Reilly Software

So, software is a part of a greater whole, and typically multiple generations of technologies must coexist peacefully and purposefully to provide a viable service. This is mixing concerns and leads to code that becomes strongly coupled, monolithic, hard to write, hard to read, hard to evolve, hard to test, and hard to reuse.

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Our Once and Future Wisdom: Re-acquiring Lost Institutional Knowledge

The Agile Manager

Tool 1: Dolly the Sheep Companies that are heavily rule-based - think insurance - eagerly moved their business rules into code. It was easy to move into code; it's just as easy to move it back into human-readable format. A clone of something extinct - our lost business knowledge - runs the risk of suffering severe defects.