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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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As-Salaam-Alaikum: The cloud arrives in the Middle East!

All Things Distributed

Today, I am excited to announce plans for Amazon Web Services (AWS) to bring an infrastructure Region to the Middle East! This move is another milestone in our global expansion and mission to bring flexible, scalable, and secure cloud computing infrastructure to organizations around the world.

Cloud 152
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Real-Time Digital Twins Can Help Expedite Vaccine Distribution

ScaleOut Software

Widely used to track ecommerce shopping carts, financial transactions, airline flights and much more, in-memory computing can quickly store, retrieve, and analyze large volumes of live data. Here’s an illustration of a vaccination center sending messages to its real-time digital twin running in the cloud.

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Predictive CPU isolation of containers at Netflix

The Netflix TechBlog

When you’re running in the cloud your containers are in a shared space; in particular they share the CPU’s memory hierarchy of the host instance. Resource allocation problems can be efficiently solved through a branch of mathematics called combinatorial optimization, used for example for airline scheduling or logistics problems.

Cache 251
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AI for everyone - How companies can benefit from the advance of machine learning

All Things Distributed

Secondly, there is enough affordable computing capacity in the cloud for companies and organizations, no matter what their size, to use intelligent applications. For example programming interfaces that developers can use to analyze images, change text into true-to-life language or create chatbots. More room for optimism.

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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. For more than a decade, in-memory data grids (IMDGs) have proven their usefulness for storing fast-changing data in enterprise applications.

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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. For more than a decade, in-memory data grids (IMDGs) have proven their usefulness for storing fast-changing data in enterprise applications.