AWS Architecture Blog

Category: Amazon Simple Storage Service (S3)

AWS managed services help in building resilient infrastructures (click the image to enlarge)

A multi-dimensional approach helps you proactively prepare for failures, Part 2: Infrastructure layer

Distributed applications resiliency is a cumulative resiliency of applications, infrastructure, and operational processes. Part 1 of this series explored application layer resiliency. In Part 2, we discuss how using Amazon Web Services (AWS) managed services, redundancy, high availability, and infrastructure failover patterns based on recovery time and point objectives (RTO and RPO, respectively) can help in […]

Application coordination across accounts and single AWS Region

Coordinating large messages across accounts and Regions with Amazon SNS and SQS

Many organizations have applications distributed across various business units. Teams in these business units may develop their applications independent of each other to serve their individual business needs. Applications can reside in a single Amazon Web Services (AWS) account or be distributed across multiple accounts. Applications may be deployed to a single AWS Region or […]

Mainframe data backup and archival augmentation

Augmentation patterns to modernize a mainframe on AWS

Customers with mainframes want to use Amazon Web Services (AWS) to increase agility, maximize the value of their investments, and innovate faster. On June 8, 2022, AWS announced the general availability of AWS Mainframe Modernization, a new service that makes it faster and simpler for customers to modernize mainframe-based workloads. In this post, we discuss […]

Oracle Database in Amazon EC2 using AWS Backup and EFS for backup and restore

Using AWS Backup and Oracle RMAN for backup/restore of Oracle databases on Amazon EC2: Part 2

Customers running Oracle databases on Amazon Elastic Compute Cloud (Amazon EC2) often take database and schema backups using Oracle native tools like Data Pump and Recovery Manager (RMAN) to satisfy data protection, disaster recovery (DR), and compliance requirements. A priority is to reduce backup time as the data grows exponentially and recover sooner in case […]

Figure 1. Oracle Database in Amazon EC2 using AWS Backup and S3 for backup and restore

Using AWS Backup and Oracle RMAN for backup/restore of Oracle databases on Amazon EC2: Part 1

Customers running Oracle databases on Amazon Elastic Compute Cloud (Amazon EC2) often take database and schema backups using Oracle native tools, like Data Pump and Recovery Manager (RMAN), to satisfy data protection, disaster recovery (DR), and compliance requirements. A priority is to reduce backup time as the data grows exponentially and recover sooner in case […]

DWBI workload with multiple tools

Data warehouse and business intelligence technology consolidation using AWS

Organizations have been using data warehouse and business intelligence (DWBI) workloads to support business decision making for many years. These workloads are brought to the Amazon Web Services (AWS) platform to utilize the benefit of AWS cloud. However, these workloads are built using multiple vendor tools and technologies, and the customer faces the burden of […]

Solution architecture for automatically processing new images and outputting isolated labels identified through semantic segmentation.

Image background removal using Amazon SageMaker semantic segmentation

Many individuals are creating their own ecommerce and online stores in order to sell their products and services. This simplifies and speeds the process of getting products out to your selected markets. This is a critical key indicator for the success of your business. Artificial Intelligence/Machine Learning (AI/ML) and automation can offer you an improved […]

Asynchronous architecture for batch resampling for call-recording files on Amazon S3

Serverless architecture for optimizing Amazon Connect call-recording archival costs

In this post, we provide a serverless solution to cost-optimize the storage of contact-center call recordings. The solution automates the scheduling, storage-tiering, and resampling of call-recording files, resulting in immediate cost savings. The solution is an asynchronous architecture built using AWS Step Functions, Amazon Simple Queue Service (Amazon SQS), and AWS Lambda. Amazon Connect provides an […]

Basic architecture on how data drift is detected using Amazon SageMaker

Detecting data drift using Amazon SageMaker

As companies continue to embrace the cloud and digital transformation, they use historical data in order to identify trends and insights. This data is foundational to power tools, such as data analytics and machine learning (ML), in order to achieve high quality results. This is a time where major disruptions are not only lasting longer, […]

EDI transaction-processing system architecture on AWS

Building a serverless cloud-native EDI solution with AWS

Electronic data interchange (EDI) is a technology that exchanges information between organizations in a structured digital form based on regulated message formats and standards. EDI has been used in healthcare for decades on the payer side for determination of coverage and benefits verification. There are different standards for exchanging electronic business documents, like American National […]