AWS Architecture Blog
Category: Database
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 […]
Disaster Recovery for Oracle Database on Amazon EC2 with Fast-Start Failover
High availability is non-negotiable for organizations today to prevent business-critical application disruptions. Enterprises must prioritize database scalability and availability to avoid downtime in their databases, network, servers, or storage environments. For organizations that want to avoid required application changes, Oracle Real Application Clusters (RAC) is an option for providing high availability and scalability to the […]
Enable transparent connectivity to Oracle Data Guard environments using Amazon Route 53 CNAME records
Customers choose AWS for running their Oracle database workload to help increase resiliency, performance, and scalability of the database layer. A high availability (HA) solution for the database stack is an important aspect to consider when migrating or deploying Oracle databases in AWS to help ensure that the architecture can meet the service level agreement […]
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 […]
Genomics workflows, Part 5: automated benchmarking
Launching and running genomics workflows can take hours and involves large pools of compute instances that process data at a petabyte scale. Benchmarking helps you evaluate workflow performance and discover faster and cheaper ways of running them. In practice, performance evaluations happen irregularly because of the associated heavy lifting. In this blog post, we discuss […]
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 […]
Disaster Recovery Solutions with AWS managed services, Part 3: Multi-Site Active/Passive
Welcome to the third post of a multi-part series that addresses disaster recovery (DR) strategies with the use of AWS-managed services to align with customer requirements of performance, cost, and compliance. In part two of this series, we introduced a DR concept that utilizes managed services through a backup and restore strategy with multiple Regions. […]
Text analytics on AWS: implementing a data lake architecture with OpenSearch
Text data is a common type of unstructured data found in analytics. It is often stored without a predefined format and can be hard to obtain and process. For example, web pages contain text data that data analysts collect through web scraping and pre-process using lowercasing, stemming, and lemmatization. After pre-processing, the cleaned text is […]
Genomics workflows, Part 4: processing archival data
Genomics workflows analyze data at petabyte scale. After processing is complete, data is often archived in cold storage classes. In some cases, like studies on the association of DNA variants against larger datasets, archived data is needed for further processing. This means manually initiating the restoration of each archived object and monitoring the progress. Scientists […]