DZone
DECEMBER 18, 2023
Energy efficiency has become a paramount concern in the design and operation of distributed systems due to the increasing demand for sustainable and environmentally friendly computing solutions.
DZone
AUGUST 23, 2023
Monitoring Time-Series IoT Device Data Time-series data is crucial for IoT device monitoring and data visualization in industries such as agriculture, renewable energy, and meteorology. In this tutorial, we will guide you through the process of setting up a monitoring system for IoT device data.
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Adrian Cockcroft
NOVEMBER 26, 2023
SUS101: Sustainability innovation in AWS Global Infrastructure AWS is determined to make the cloud the cleanest and most energy-efficient way to run customers’ infrastructure and business. This includes providing the efficient, resilient services AWS customers expect, while minimizing their environmental footprint.
Dynatrace
NOVEMBER 5, 2023
The surge of the internet of things (IoT) has led to the exponential growth of applications and data processing at the edge. Furthermore, an accelerating digital-centric economy pushes us closer to the edge—processing client data as close to the originating source as possible.
Adrian Cockcroft
FEBRUARY 13, 2023
The keynotes didn’t feature anything new on carbon, just re-iterated the existing path to 100% green energy by 2025. We also may choose to support these grids through the purchase of environmental attributes, like Renewable Energy Certificates and Guarantees of Origin, in line with our Renewable Energy Methodology.
Adrian Cockcroft
NOVEMBER 30, 2020
This is becoming topical as governments and public companies around the world are looking for efficient and standardized ways to report their sustainability impact, and investors and asset managers are looking for common datasets and models to base their risk analysis on. AWS at the edge: Using AWS IoT to optimize Amazon wind farms AES22 ?—?Climate
Testsigma
FEBRUARY 12, 2021
The way we now look at software engineering has revolutionized test automation, with QA teams adapting automation to expand test scope, increase efficiency and do more testing in less time. In such cases, mostly what is needed is the efficient implementation of test automation. Improvement of testing efficiency.
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