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Safeguarding Cloud Databases: Best Practices and Risks Engineers Must Avoid

As enterprises increasingly adopt digital transformation strategies, the cloud has emerged as a foundational component of modern IT infrastructure. Organizations are rapidly shifting workloads, including critical databases, to cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP) to harness benefits like on-demand scalability, high availability, and reduced operational overhead. Cloud-based databases, in particular, have revolutionized how businesses store, access, and manage data, offering improved performance and flexibility across industries.

However, while the shift to cloud-native databases brings significant advantages, it also introduces a complex set of security challenges. In traditional on-premises environments, organizations manage and secure their own hardware and network boundaries. In the cloud, however, security follows a shared responsibility model where both the provider and the customer play a role in protecting systems and data. This model holds both cloud providers and their customers accountable for different aspects of system and data security. Failure to clearly define and act upon these responsibilities can expose organizations to serious data breaches, compliance failures, and reputational harm.

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