AWS Architecture Blog
Category: Amazon Simple Storage Service (S3)
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 […]
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 […]
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 […]
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, […]
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 […]
Dream11: Blocking application attacks using AWS WAF at scale
As the world’s largest fantasy sports platforms with more than 120 million registered users, Dream11 runs multiple contests simultaneously while processing millions of user requests per minute. Their user-centric and data-driven teams make it a priority to ensure that the Dream11 application (app) remains protected against all kinds of threats and vulnerabilities. Introduction to AWS […]
Disaster recovery approaches for Db2 databases on AWS
As you migrate your critical enterprise workloads from an IBM Db2 on-premises database to the AWS Cloud, it’s critical to have a reliable and effective disaster recovery (DR) strategy. This helps the database applications operate with little or no disruption from unexpected events like a natural disaster. Recovery point objective (RPO), recovery time objective (RTO), […]
Deploying Sample UI Forms using React, Formik, and AWS CDK
Companies in many industries use UI forms to collect customer data for account registrations, online shopping, and surveys. It can be tedious to create form fields. Proper use of input validation can help users easily find and fix mistakes. Best practice is that users should not see a form filled with “this field is required” […]
How to Audit and Report S3 Prefix Level Access Using S3 Access Analyzer
Data Services teams in all industries are developing centralized data platforms that provide shared access to datasets across multiple business units and teams within the organization. This makes data governance easier, minimizes data redundancy thus reducing cost, and improves data integrity. The central data platform is often built with Amazon Simple Storage Service (Amazon S3). […]
Automating Anomaly Detection in Ecommerce Traffic Patterns
Many organizations with large ecommerce presences have procedures to detect major anomalies in their user traffic. Often, these processes use static alerts or manual monitoring. However, the ability to detect minor anomalies in traffic patterns near real-time can be challenging. Early detection of these minor anomalies in ecommerce traffic (such as website page visits and […]