Category: Advanced (300)

AWS Local Zones offer low-latency access to AWS services for customers in metropolitan areas. As Local Zones adoption increases, customers can design highly available architectures by using Local Zones. By leveraging Megaport’s Cloud Router and Virtual Cross Connects, customers can optimize east-west traffic between Local Zones, reducing latency. This enables them to build resilient, high-performance architectures with improved network connectivity between Local Zones for their applications without having to route through parent regions.

Therapeutic development relies on Pharma-led clinical trials with robust endpoint data. Key decision points like patient enrichment and endpoint optimization shape trial success. Advanced analytics extract insights, aiding targeted drug development and saving time and money. BluMaiden Bioscience’s AWS platform tackles data challenges, delivering valuable clinical insights globally for efficient trial design and execution.

Learn how ServiceNow and AWS help businesses manage their AWS environments, thereby helping them achieve a successful digital transformation. ServiceNow offer tools for cost management, automated provisioning, and enhanced governance, which standardizes infrastructure management for easy navigation in the cloud.

This post presents a cost-effective, serverless multi-tenant SaaS architecture utilizing AWS managed services. Users can belong to multiple tenants via Amazon Cognito user groups, and the solution enables seamless tenant switching and allows tenants to define custom roles with Amazon DynamoDB transactions. By leveraging AWS services, the architecture provides security, isolation, custom permissions, and flexibility to scale without operational overhead.

When designing IT solutions, a one-size-fits-all approach misses opportunities for performance and cost savings. Exxeta proposes a use-case driven architecture approach that fits IT components to specific business processes. A real-world example shows how this approach helped an automotive company build a high-performance, scalable analytics solution at a lower cost by utilizing fit-for-purpose technologies like Apache HBase and Amazon S3.

Business intelligence (BI) teams aim to automate Amazon QuickSight asset deployment across environments. CyberCX developed a solution using AWS Step Functions to orchestrate exporting QuickSight analyses from one environment and importing them to another, simplifying migration. This reusable module integrates with CyberCX’s broader serverless data platform but can standalone. The entire solution is designed with security in mind and follows the principles of least privilege access.

TextRay is an information extraction solution that automatically extracts data from scanned documents using deep learning models. It leverages AWS services to provide a scalable and cost-effective way to process documents while reducing errors and turnaround time. An AWS CloudFormation template simplifies deployment, while a pre-trained base model demonstrates TextRay’s precision in extracting tabular and form data into structured CSV outputs.

The Amazon Athena Teradata Connector enables Athena to query data in Teradata Vantage using SQL, and comprises two AWS Lambda functions for metadata and record reading. This post describes deploying the connector, creating a Lambda layer for the Teradata JDBC driver, and running queries on Teradata from Athena, including a federated query joining Teradata and S3 data. This provides a scalable, serverless way to analyze data across different data stores without data duplication.

Using the AWS console to manage cloud infrastructure can be convenient and user-friendly, especially for beginners or small projects. Yet, it also carries inherent challenges when used at scale. In this post, we will dive deep into how ControlMonkey can assist you with transitioning manually-created environments to an Infrastructure as Code approach, integrating seamlessly with GitOps and Hashicorp Terraform.

Learn how to connect the ThoughtSpot analytics platform to an Amazon Aurora MySQL database for real-time operational analytics. This post outlines the steps to create an Aurora MySQL instance, populate it with sample data, create a connection from ThoughtSpot, and build generative AI-powered analytics using natural language search. By integrating ThoughtSpot and Aurora MySQL, businesses can get instant insights from their transactional database.