Category: Technical How-to

This is Part 1 of a two-part blog series: Configuring the application. Here is Part 2: Developing the application. When we at AWS talk to our customers about their data lakes, they usually describe a desired access pattern in which users and groups from a corporate directory are granted access to datasets in Amazon Simple […]

To adhere to the principle of least privilege, users define granular access to their Amazon Simple Storage Service (Amazon S3) data based on applications, personas, groups or organization units (OUs). This practice helps customers to mitigate the risk of unauthorized access, limiting potential damage in case of a security breach as employees only have access […]

Today, customers increasingly choose to store data for longer because they recognize its future value potential. Storing data longer, coupled with exponential data growth, has led to customers placing a greater emphasis on storage cost optimization and using cost-effective storage classes. However, a modern data archiving strategy not only calls for optimizing storage costs, but […]

As enterprises evolve their cloud governance practices, multiple teams working in separate accounts may need to share data. One team may oversee an enterprise data lake in one account, while a data science team develops a high-performance computing (HPC) use case in another account. Customers want to take advantage of low-cost object storage and be […]

Enterprises often use distinct accounts to group workloads and associated resources used across multiple teams and projects. This helps organizations align ownership, decision making, and costs so that they can be easily managed across internal teams. However, each team in an account may have different requirements and processes when it comes to backing up their […]

MySQL and PostgreSQL are popular relational database management systems that many organizations use to power web applications, dynamic websites, and embedded systems. For customers self-hosting MySQL and PostgreSQL with AWS, they can use their choice of tools to manage the operating system, database software, patches, data replication, backup, and restoration. As customers back up their […]

Customers have been running Microsoft workloads on AWS for over 16 years. Through conversations with these customers, a common challenge we’ve found is that as they back up their Windows applications to fulfill data protection needs, they often spend significant time and manual effort managing the orchestration of backup workflows. The time- and labor-intensive process […]

Infrastructure as Code (IaC) involves managing IT infrastructure through code and automation tools to reduce manual management prone to errors, slow scaling, and overhead. For organizations implementing a hybrid cloud infrastructure, automation can ensure uniformity, scalability, and cost reduction while getting cloud resources provisioned efficiently. Automated provisioning and configuration enable organizations to adapt, innovate, and […]

Organizations may need to transfer large numbers of files from one cloud provider to another for a variety of reasons like workload migration, disaster recovery, or a requirement to process data in other clouds. Data transfers typically require end-to-end encryption, the ability to detect changes, object validation, network throttling, monitoring, and cost optimization. Building a […]

Many organizations have the need to retain data for a number of years to comply with regulations or IT requirements. They move cold data to archive storage in the cloud to optimize storage costs while staying compliant. For example, Amazon Machine Image (AMI) is a critical data resource that many customers want to retain long term to meet compliance. Until […]