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Artificial Intelligence in Cloud Computing

Scalegrid

Exploring artificial intelligence in cloud computing reveals a game-changing synergy. Scalegrid: Powering AI-Driven Cloud Solutions ScaleGrid is a leading provider of AI-driven cloud solutions with a range of fully managed database hosting services. These services are tailored to meet various business requirements.

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Best Practices in Cloud Security Monitoring

Scalegrid

This article strips away the complexities, walking you through best practices, top tools, and strategies you’ll need for a well-defended cloud infrastructure. Native tools, such as CloudWatch from AWS, have more extensive integrations and provide comprehensive protection for data in the cloud compared to their third-party counterparts.

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Mastering Hybrid Cloud Strategy

Scalegrid

Mastering Hybrid Cloud Strategy Are you looking to leverage the best private and public cloud worlds to propel your business forward? A hybrid cloud strategy could be your answer. Understanding Hybrid Cloud Strategy A hybrid cloud merges the capabilities of public and private clouds into a singular, coherent system.

Strategy 130
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Multi Cloud vs Hybrid Cloud Strategy

Scalegrid

Confused about multi-cloud vs hybrid cloud and which is the right strategy for your organization? Real-world examples like Spotify’s multi-cloud strategy for cost reduction and performance, and Netflix’s hybrid cloud setup for efficient content streaming and creation, illustrate the practical applications of each model.

Strategy 147
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Sufficiently Advanced Monitoring is Indistinguishable from Testing

Abhishek Tiwari

Canary AWS refers to these synthetic monitors as "canaries" (like "canary in the coal mine"). It can monitor not only the application itself but also the underlying infrastructure, APIs, databases, and external services. A canary is a script that can be customized and is typically coded in JavaScript or Python.

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What Is a Workload in Cloud Computing

Scalegrid

Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms. Utilizing cloud platforms is especially useful in areas like machine learning and artificial intelligence research. What is workload in cloud computing?

Cloud 130
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Generative AI in the Enterprise

O'Reilly

If we asked whether their companies were using databases or web servers, no doubt 100% of the respondents would have said “yes.” And there are tools for archiving and indexing prompts for reuse, vector databases for retrieving documents that an AI can use to answer a question, and much more. But they may back off on AI development.