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Azure Security Center (ASC) is a powerful cloud security management service offered by Microsoft Azure. It provides advanced threat protection across your Azure workloads and helps you prevent, detect, and respond to security threats. This post aims to provide a comprehensive understanding of Azure Security Center, covering its features, use ...
Key Lifecycle Management (KLM) is a crucial aspect of cryptographic key management, ensuring the secure generation, distribution, usage, and retirement of cryptographic keys. In the context of Azure, a cloud computing platform by Microsoft, Key Vault provides a robust solution for managing cryptographic keys and secrets, offering advanced features for ...
Let’s create a Python application that requires access to Azure Key Vault to fetch information from a Cosmos DB using a specific query, we can use the Azure SDK for Python. Below is a basic example using the azure-cosmos library for Cosmos DB and the azure-identity library for Azure Key ...
Microsoft Azure offers a cloud service called Azure Key Vault that is intended to manage and safely store private data, including cryptographic keys, secrets, and certificates that are utilized by cloud services and apps. In addition to providing strong security features like access control, encryption, and auditing to protect sensitive ...
In the dynamic realm of programming languages, selecting the appropriate language for a given project is a pivotal decision. Developers must consider various factors, including readability, maintainability, and performance. One key aspect in this decision-making process is understanding the differences in execution time across languages. In this article, we’ll explore ...
SOLID principles are a set of five design principles that aim to enhance the maintainability, flexibility, and scalability of object-oriented software. These principles were introduced by Robert C. Martin and have become a cornerstone in modern software development. In this article, we will explore each SOLID principle and demonstrate their ...
The process of Data Quality Monitoring is an essential characteristic a data scientist, data analyst and data engineer have to consider. Ensure the data follows the company standards, from the ETL/ELT pipelines until BI Visualisation Tools or Machine Learning algorithm can help a lot to increase the quality of the ...