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From observability to sustainability: Reduce your IT carbon footprint with Dynatrace Carbon Impact

Dynatrace

Some interesting facts: Moving a workload to the cloud can reduce its carbon footprint by up to 96%. Cloud computing has a greater carbon footprint than the airline industry. Average cloud server idle time exceeds 70%. The table breaks down emissions by data center, listing your cloud and on-premises instances.

Energy 184
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Välkommen till Stockholm – An AWS Region is coming to the Nordics

All Things Distributed

Icelandic low-cost airline carrier WOW air is using AWS for its Internet-facing IT infrastructure, including its booking engine, development platforms, and web servers. The airline has also been able to scale quickly to cope with spikes in seasonal traffic, cutting application latency and improving the overall customer experience.

AWS 116
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Reducing Carbon Emissions On The Web

Smashing Magazine

So, when people first started talking about the Internet having similar carbon emissions to the airline industry , I was a bit skeptical. It can be hard to visualize the huge network of hardware that allows you to send a request for a page to a server and then receive a response back.

Website 135
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Using Real-Time Digital Twins for Corporate Contact Tracing

ScaleOut Software

In addition, they can log contacts outside the company, such as taxi rides, airline flights, and meals at restaurants, so that community members can be notified if an employee was exposed to COVID-19. Community contacts are reported to managers who communicate with outside points of contact, such as airlines, taxi companies, and restaurants.

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Using Real-Time Digital Twins for Corporate Contact Tracing

ScaleOut Software

In addition, they can log contacts outside the company, such as taxi rides, airline flights, and meals at restaurants, so that community members can be notified if an employee was exposed to COVID-19. Community contacts are reported to managers who communicate with outside points of contact, such as airlines, taxi companies, and restaurants.

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

ScaleOut Software

Whether it’s ecommerce shopping carts, financial trading data, IoT telemetry, or airline reservations, these data sets need fast, reliable access for large, mission-critical workloads. First, unlike key-based access, which is directed to a specific grid server to retrieve an object, a query requires the participation of all grid servers.

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

ScaleOut Software

Whether it’s ecommerce shopping carts, financial trading data, IoT telemetry, or airline reservations, these data sets need fast, reliable access for large, mission-critical workloads. First, unlike key-based access, which is directed to a specific grid server to retrieve an object, a query requires the participation of all grid servers.