Multi-Cloud Asset Visibility

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Multi-Cloud Asset Visibility
  • What multi-cloud asset visibility is and why it matters
  • Why companies are using multiple cloud providers
  • The visibility challenge in multi-cloud
  • Best practices for multi-cloud asset visibility

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What's Inside

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Challenges of Multi-cloud
In-depth look into problems of management and visibility
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Native Solutions for Multi-cloud
A peek into the most popular native solutions like AWS Config and Microsoft Defender
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Best Practices to Follow
Easy-to-adopt practices to improve your multi-cloud security
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What is Multicloud?

Multicloud refers to the strategic deployment and use of multiple cloud computing services from different providers in a single heterogeneous architecture. This approach allows organizations to leverage the unique benefits of various cloud platforms, such as improved reliability, risk management, and cost-effectiveness, by distributing workloads across different clouds based on their specific requirements, capabilities, and strengths.

What is the Difference between Multicloud and Hybrid Cloud?

Multicloud involves using multiple cloud services from various providers to capitalize on specific features or cost benefits, without integration among them. Hybrid cloud combines on-premises or private cloud with public cloud services, interconnected to allow data and application sharing. The key difference lies in multicloud's focus on diversity without integration, versus hybrid cloud's integrated approach for flexibility and optimal resource use between private and public environments.

What is an Example of a Multi-Cloud?

An example of a multi-cloud setup could involve a company using Amazon Web Services (AWS) for computing and storage services, Google Cloud Platform (GCP) for its advanced artificial intelligence and machine learning capabilities, and Microsoft Azure for its Office 365 services and enterprise integration. In this scenario, the company selects each cloud provider based on specific services or features that best meet particular operational requirements, such as leveraging AWS's extensive infrastructure for scalable computing, GCP's AI and ML tools for data analytics, and Azure's seamless integration with Microsoft products for productivity and collaboration.

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