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Amazon S3 is a cloud-based object storage solution that has become one of the most popular and widely-used cloud storage services globally. In this article, we’ll explore what S3 is, how it works, and its benefits for developers and architects.
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The AWS Well-Architected Framework is a set of guiding principles and best practices that helps you design and operate reliable, secure, high-performing, resilient, and efficient workloads on Amazon Web Services (AWS).
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AWS Lake Formation is a fully managed service from Amazon Web Services (AWS) that allows you to create a centralized repository for your organization’s data.
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Amazon SageMaker simplifies machine learning workflows by automating tedious tasks, integrating with AWS services, and providing pre-built containers and templates.
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Learn how to use Amazon ElastiCache for high-performance databases in AWS. This article explains the benefits and steps to set up an ElastiCache cluster.
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AWS IAM roles and policies provide a robust set of tools for securing your AWS environment. In this article, we’ll explore how to use these features to control access to resources and ensure the integrity of your data and applications.
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Amazon SageMaker is a cloud-based platform that enables data scientists and machine learning engineers to build, train, and deploy machine learning models at scale. With its powerful features and seamless integration with other AWS services, SageMaker has become the go-to choice for many organizations looking to leverage the power of machine learning.
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Learn how Amazon Web Services’ (AWS) Identity and Access Management (IAM) roles provide a robust way to manage permissions and access to cloud-based resources.
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AWS Secrets Manager is a fully-managed service that provides a centralized storage solution for sensitive data and secrets. This article explores the features and benefits of using AWS Secrets Manager to manage your secrets efficiently.
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Learn how to design and deploy a highly available architecture on Amazon Web Services (AWS). This article covers best practices for designing for failures, implementing database redundancy with Amazon RDS, using Elastic Load Balancing, storing data in Amazon S3, and monitoring and troubleshooting your application’s performance.