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

Dynatrace

Cloud computing has a greater carbon footprint than the airline industry. Average cloud server idle time exceeds 70%. It was developed with guidance from the Sustainable Digital Infrastructure Alliance ( SDIA ), expanding on formulas from Cloud Carbon Footprint. And it provides recommendations to help you get started quickly.

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

All Things Distributed

The new region will give Nordic-based businesses, government organisations, non-profits, and global companies with customers in the Nordics, the ability to leverage the AWS technology infrastructure from data centers in Sweden. They migrated their IT infrastructure, including mission-critical payments platforms, to AWS in just six weeks.

AWS 116
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Business Analytics for mobile and custom applications enables advanced segmentation and BizDevOps collaboration

Dynatrace

For example, an airline that cares about providing excellent experience to high-value customers might have a loyalty status and mark those high-value customers as ‘Premium.’ That information is not set and managed within Dynatrace but in a CRM system deep inside the infrastructure. Selecting one automatically fills out all fields.

Analytics 138
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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 136
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How To Choose A Headless CMS

Smashing Magazine

Infrastructure Integration. Working for a major airline not even a decade ago, I can remember trying to model content for mobile devices (yes! Infrastructure Integration. Similarly, when it comes to procuring infrastructure, you can choose to host your site on Netlify, Azure, GCP or AWS. For developers. Native SDKs.

Cache 143
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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.