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Optimize your environment: Unveiling Dynatrace Hyper-V extension for enhanced performance and efficient troubleshooting

Dynatrace

It enables multiple operating systems to run simultaneously on the same physical hardware and integrates closely with Windows-hosted services. Firstly, managing virtual networks can be complex as networking in a virtual environment differs significantly from traditional networking.

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Software AI Accelerators: AI Performance Boost for Free

DZone

An equally important aspect of this AI growth equation is the ever-expanding demands it places on computer system requirements to deliver higher AI performance. What’s more is that this AI performance boost driven by software optimizations is free, requiring almost no code changes or developer time and no additional hardware costs.

Software 130
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Protecting critical infrastructure and services: Ensure efficient, accurate information delivery this election year

Dynatrace

In a monitoring scenario, teams typically preconfigure dashboards to alert about performance issues they may expect to see later. Every hardware, software, cloud infrastructure component, container, open source tool, and microservice generates records of every activity within modern environments. Observability differs from monitoring.

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How to overcome the cloud observability wall

Dynatrace

There are a few important details worth unpacking around monolithic observability as it relates to these qualities: The nature of a monolithic application using a single programming language can ensure all code uses the exact same logging standards, location, and internal diagnostics. Just as the code is monolithic, so is the logging.

Cloud 231
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The Performance Inequality Gap, 2024

Alex Russell

It's time once again to update our priors regarding the global device and network situation. The usual caveats also apply: Performance is a deep and nuanced domain, and much can go wrong beyond content size and composition. How sites manage resources after-load can have a big impact on perceived performance.

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Snap: a microkernel approach to host networking

The Morning Paper

Snap: a microkernel approach to host networking Marty et al., This paper describes the networking stack, Snap , that has been running in production at Google for the last three years+. A brownout phase performs a preparatory background transfer of all the key state to a memory region shared with the new version. SOSP’19.

Network 92
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Different CPU Times: Unix/Linux ‘top’

DZone

CPU consumption in Unix/Linux operating systems is studied using eight different metrics: User CPU time, System CPU time, nice CPU time, Idle CPU time, Waiting CPU time, Hardware Interrupt CPU time, Software Interrupt CPU time, Stolen CPU time. User CPU time is the amount of time the processor spends in running your application code.