Remove Code Remove Hardware Remove Tuning
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AI Flame Graphs

Brendan Gregg

At Intel we've been creating a new analyzer tool to help reduce AI costs called AI Flame Graphs : a visualization that shows an AI accelerator or GPU hardware profile along with the full software stack, based on my CPU flame graphs. The gray "-" frames just help highlight the boundary between CPU and AI/GPU code.

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Performance Tuning Java Applications in Linux

DZone

You may also like: How to Properly Plan JVM Performance Tuning. While Performance Tuning an application both Code and Hardware running the code should be accounted for. Reduce the amount of code in critical sections. Thread Contention.

Java 147
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OneAgent for Linux on IBM Z (General Availability)

Dynatrace

The IBM Z platform is a range of mainframe hardware solutions that are quite frequently used in large computing shops. Typically, these shops run the z/OS operating system, but more recently, it’s not uncommon to see the Z hardware running special versions of Linux distributions. Stay tuned for more announcements on this topic.

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What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

This allows teams to sidestep much of the cost and time associated with managing hardware, platforms, and operating systems on-premises, while also gaining the flexibility to scale rapidly and efficiently. Performing updates, installing software, and resolving hardware issues requires up to 17 hours of developer time every week.

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Full visibility into your serverless applications with AI-powered Azure Functions monitoring (GA)

Dynatrace

This gives you deep visibility into your code running in Azure Functions, and, as a result, an understanding of its impact on overall application performance and user experience. Code-level visibility continues to be supported for.NET-based functions running in an App Service plan. Optimize your code with code-level visibility.

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PostgreSQL vs. Oracle: Difference in Costs, Ease of Use & Functionality

Scalegrid

Compare ease of use across compatibility, extensions, tuning, operating systems, languages and support providers. Oracle requires more complex ongoing administration, as all database configurations must evolve in conjunction with the data schemas and custom code. Compare Ease of Use. So Which Is Best?

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Kubernetes vs Docker: What’s the difference?

Dynatrace

Container technology is very powerful as small teams can develop and package their application on laptops and then deploy it anywhere into staging or production environments without having to worry about dependencies, configurations, OS, hardware, and so on. The time and effort saved with testing and deployment are a game-changer for DevOps.