Scalegrid

FEBRUARY 8, 2024

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. These distributed storage services also play a pivotal role in big data and analytics operations.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

JANUARY 31, 2024

Bringing together metrics, logs, traces, problem analytics, and root-cause information in dashboards and notebooks, Dynatrace offers an end-to-end unified operational view of cloud applications. But energy consumption isn’t limited to training models—their usage contributes significantly more.

Cache 209

Cache Azure Infrastructure Monitoring 209

Dynatrace

SEPTEMBER 13, 2023

This is where unified observability and Dynatrace Automations can help by leveraging causal AI and analytics to drive intelligent automation across your multicloud ecosystem. The Dynatrace platform approach to managing your cloud initiatives provides insights and answers to not just see what could go wrong but what could go right.

AWS 252

AWS Efficiency Azure Cloud 252

Dean Hume

APRIL 24, 2018

Using service workers can actually reduce the amount of energy that users that visit your website consume. but now that you are here, read on and hopefully I can at least convince you that service workers can make a (little bit) difference to energy consumption! Fewer HTTP requests mean less CPU usage and less energy consumed.

Energy 40

Energy Cache Traffic Website 40

Dean Hume

APRIL 24, 2018

Using service workers can actually reduce the amount of energy that users that visit your website consume. but now that you are here, read on and hopefully I can at least convince you that service workers can make a (little bit) difference to energy consumption! Fewer HTTP requests mean less CPU usage and less energy consumed.

Energy 40

Energy Cache Traffic Website 40

Dean Hume

APRIL 24, 2018

Using service workers can actually reduce the amount of energy that users that visit your website consume. but now that you are here, read on and hopefully I can at least convince you that service workers can make a (little bit) difference to energy consumption! Fewer HTTP requests mean less CPU usage and less energy consumed.

Energy 40

Energy Cache Traffic Website 40

John McCalpin

APRIL 2, 2020

Here I assumed a particular analytical function for the amount of memory traffic as a function of cache size to scale the bandwidth time. Over time, the mechanisms introduced for reducing energy consumption (first in laptops) became available more broadly. Many of these applications (e.g., while the second model is within 1%.

Benchmarking 59

Benchmarking Performance Latency Architecture 59