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Sustainable IT: Optimize your hybrid-cloud carbon footprint

Dynatrace

If you’re running your own data center, you can start powering it with green energy purchased through your utility company. The complication with this approach is that your energy bill will likely increase. Next, we consider possible energy savings in the data center. So you’ll have to look elsewhere for energy savings!”

Cloud 205
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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

The RAG process begins by summarizing and converting user prompts into queries that are sent to a search platform that uses semantic similarities to find relevant data in vector databases, semantic caches, or other online data sources. But energy consumption isn’t limited to training models—their usage contributes significantly more.

Cache 201
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How Improving Website Performance Can Help Save The Planet

Smashing Magazine

But as it stands, websites are growing ever more obese, which means that the energy demand of the Internet is continuing to grow exponentially. The Green Web Foundation maintains an ever-growing database of web hosts who are either wholly powered by renewable energy or are at least committed to being carbon neutral.

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COLD, WARM, HOT … CLEAN, DIRTY, FREE … What Does All This Mean?

SQL Server According to Bob

The CPU has a property of requiring electricity and the physical translation of that energy into CPU activity results in heat. If you talk about database pages HOT is a good thing. If the database page is held in the SQL Server Buffer Pool, main ram it is called HOT. When the database page is.

Cache 40
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What is a Distributed Storage System

Scalegrid

Key Takeaways Distributed storage systems benefit organizations by enhancing data availability, fault tolerance, and system scalability, leading to cost savings from reduced hardware needs, energy consumption, and personnel. Variations within these storage systems are called distributed file systems.

Storage 130
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Use Parallel Analysis – Not Parallel Query – for Fast Data Access and Scalable Computing Power

ScaleOut Software

Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities. Application developers often deploy IMDGs as a distributed cache that sits between an application and its database; the IMDG offloads ephemeral data from the database.

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Use Parallel Analysis – Not Parallel Query – for Fast Data Access and Scalable Computing Power

ScaleOut Software

Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities. Application developers often deploy IMDGs as a distributed cache that sits between an application and its database; the IMDG offloads ephemeral data from the database.