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Innovative data integration in 2024: Pioneering the future of data integration

CIO

Serverless data integration The rise of serverless computing has also transformed the data integration landscape. According to a recent forecast by Grand View Research, the global serverless computing market is expected to reach a staggering $21.4 billion by 2025. This can impact performance for infrequently used integrations.

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Going Serverless: Where to Start

Linux Academy

What is serverless framework? The Serverless Framework is an open-source project that replaces traditional platforms (hardware, operating systems) with a platform that can run in a cloud environment. Serverless is beneficial as it lets you focus on delivering a product, rather than managing typical IT problems.

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10 Azure Best Practices for 2020

ParkMyCloud

There’s a vast amount of available resources that give advice on Azure best practices. Based on recent recommendations given by experts in the field, we’ve put together this list of 10 of the best practices for 2020 to help you fully utilize and optimize your Azure environment. Ensure Your Azure VMs are the Correct Size.

Azure 104
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AWS vs. Azure vs. Google Cloud: Comparing Cloud Platforms

Kaseya

In a public cloud, all of the hardware, software, networking and storage infrastructure is owned and managed by the cloud service provider. In this blog, we’ll compare the three leading public cloud providers, namely Amazon Web Services (AWS), Microsoft Azure and Google Cloud. Microsoft Azure Overview. What Is a Public Cloud?

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CIOs sharpen cloud cost strategies — just as gen AI spikes loom

CIO

For example, Photogra, a 23-year-old image and photo provider for concession operators at amusement parks, cruises, and events, spent one year planning the migration of its data infrastructure from its New York data center to Microsoft Azure and other cloud services with the help of Aptum, a managed service provider.

Strategy 351
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Cloud Computing Trends and Innovations

Apiumhub

Implementation: Using edge computing frameworks like AWS IoT Greengrass or Azure IoT Edge to deploy machine learning models directly on edge devices for real-time data analysis. Implementation: Utilizing tools like Google Anthos or Azure Arc to manage Kubernetes clusters across different cloud environments, providing a unified control plane.

Trends 52
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Storm in the stratosphere: how the cloud will be reshuffled

Erik Bernhardsson

Here's a theory I have about cloud vendors (AWS, Azure, GCP): Cloud vendors 1 will increasingly focus on the lowest layers in the stack: basically leasing capacity in their data centers through an API. Note that the only options for the first questions are AWS, GCP, and Azure. Databases, running code, you name it. What region?

Cloud 351