Webapper shares tips, tricks, and news to get more out of Amazon S3 buckets.
As summer draws to a close, it's an opportune time to plan a review of your Amazon S3 environment. An annual checkup ensures your cloud storage remains efficient, secure, and cost-effective for the coming year. This guide outlines 12 crucial actions to consider, helping you start the new year with well-tuned S3 infrastructure.
With summer in full swing, we're starting to see more major league baseball on TV. If you watch any baseball at all, you know that analytics have taken over, which inspired us to talk about how Amazon S3 and baseball are alike. At first glance, Amazon S3 and America's favorite pastime might seem worlds apart. A closer look reveals intriguing similarities between Amazon S3 cloud storage and the diamond sport.
AWS Cost Categories is a powerful FREE feature within Amazon Web Services' cost management toolkit that enables you to organize and analyze AWS spending in a way that aligns with your business structure and needs.
Web developers use Amazon S3 as a versatile, scalable storage solution for web assets. They typically store static files like images, videos, CSS, JavaScript, and HTML files. For web developers managing assets on Amazon-hosted websites, Intelligent-Tiering can significantly reduce storage costs while maintaining high performance.
SSO offers benefits in user experience, security, and administrative efficiency. It also presents challenges that require consideration. By addressing risks such as single points of failure, credential theft, and overprovisioning, organizations can harness the power of SSO while maintaining robust security.
A data lake in Amazon S3 offers scalability and durability at a reasonable cost. Creating data lakes enables centralized storage of diverse data types, supports easy integration with AWS analytics services, and provides precise access control. We outline a typical process for setting up a data lake on Amazon S3.
A Machine Learning Data Repository on Amazon S3 is critical for managing large-scale ML projects. Amazon S3 offers scalability, durability, and cost-efficiency for storing vast amounts of training data and model artifacts. While challenges like latency exist, S3's benefits in data management, versioning, and lifecycle policies make it an ideal choice for organizations seeking a reliable, flexible ML data storage solution.
We all need a place for our stuff. In the cloud, it's digital stuff (AKA unstructured data). The three largest cloud providers offer object storage solutions that are designed to store and retrieve large amounts of your organization's stuff with high durability and scalability.
Leveraging AWS Storage Gateway for hybrid cloud architectures entails integrating on-premises environments with AWS cloud storage services. The goal for organizations is to seamlessly extend their data storage infrastructure to the cloud. This approach provides compelling advantages but also comes with potential drawbacks.
AWS offers a diverse range of cloud storage services, each designed to cater to specific storage needs and workload requirements. Understanding the differences and appropriate use cases for these services is crucial for making informed decisions and optimizing storage solutions. We compare the variety of AWS cloud storage services.
