AWS Architecture Blog
Category: Amazon Simple Storage Service (S3)
IBM Consulting creates innovative AWS solutions in French Hackathon
In March 2023, IBM Consulting delivered an Innovation Hackathon in France, aimed at designing and building new innovative solutions for real customer use cases using the AWS Cloud. In this post, we briefly explore six of the solutions considered and demonstrate the AWS architectures created and implemented during the Hackathon. Hackathon solutions Solution 1: Optimize […]
Reduce archive cost with serverless data archiving
For regulatory reasons, decommissioning core business systems in financial services and insurance (FSI) markets requires data to remain accessible years after the application is retired. Traditionally, FSI companies either outsourced data archiving to third-party service providers, which maintained application replicas, or purchased vendor software to query and visualize archival data. In this blog post, we […]
Managing data confidentiality for Scope 3 emissions using AWS Clean Rooms
Scope 3 emissions are indirect greenhouse gas emissions that are a result of a company’s activities, but occur outside the company’s direct control or ownership. Measuring these emissions requires collecting data from a wide range of external sources, like raw material suppliers, transportation providers, and other third parties. One of the main challenges with Scope […]
Optimizing fleet utilization with Amazon Location Service and HERE Technologies
The fleet management market is expected to grow at a Compound Annual Growth Rate (CAGR) of 15.5 percent—from 25.5 billion US dollars in 2022 to USD 52.4 billion in 2027. Optimizing how your organization uses its vehicle fleet is important for logistics and service providers such as last mile, middle mile, and field services. In […]
Realtime monitoring of microservices and cloud-native applications with IBM Instana SaaS on AWS
Customers are adopting microservices architecture to build innovative and scalable applications on Amazon Web Services (AWS). These microservices applications are deployed across multiple AWS services, and customers are looking for comprehensive observability solutions that can help them effectively monitor and manage the performance of their applications in real-time. IBM Instana is a fully automated application […]
Streaming the AWS Wickr desktop client with Amazon AppStream 2.0
Amazon Web Services (AWS) customers using AWS Wickr who want to find a way to access their AWS Wickr Windows desktop client though a web browser, can use Amazon AppStream 2.0 to stream the application through to their users. Using this architecture, you can provide lightweight access to the AWS Wickr desktop client for users […]
Deploying Oracle RAC in AWS Outposts via FlashGrid Cluster
Amazon Web Services (AWS) customers are deploying AWS Outposts as a fully managed solution that delivers AWS infrastructure and services to on-premises or edge locations for a truly consistent hybrid experience. Those hybrid cloud workloads can require highly available Oracle databases running on- or close-to premises. One way to meet this requirement is Oracle Real […]
Genomics workflows, Part 3: automated workflow manager
Genomics workflows are high-performance computing workloads. Life-science research teams make use of various genomics workflows. With each invocation, they specify custom sets of data and processing steps, and translate them into commands. Furthermore, team members stay to monitor progress and troubleshoot errors, which can be cumbersome, non-differentiated, administrative work. In Part 3 of this series, […]
Architecting your security model in AWS for legacy application migrations
Application migrations, especially from legacy/mainframe to the cloud, are done in phases that sometimes span multiple years. Each phase migrates a set of applications, data, and other resources to the cloud. During the transition phases, applications might require access to both on-premises and cloud-based resources to perform their function. While working with our customers, we […]
Building a healthcare data pipeline on AWS with IBM Cloud Pak for Data
Healthcare data is being generated at an increased rate with the proliferation of connected medical devices and clinical systems. Some examples of these data are time-sensitive patient information, including results of laboratory tests, pathology reports, X-rays, digital imaging, and medical devices to monitor a patient’s vital signs, such as blood pressure, heart rate, and temperature. […]