Tag: Amazon DynamoDB

The restaurant industry is experiencing an unprecedented transformational change. Elevated expectations for cleanliness, health, and safety are accelerating the adoption of contactless technologies, curbside pickup options, and mobile payments. Learn how Capgemini’s Digital Cloud Platform (DCP) for Restaurants empowers the industry to reimagine digital transformation by delivering compelling customer interaction and streamlined operations while reducing costs and improving efficiency.

With the support of AWS SaaS Factory, GA Telesis launched the FraudBlock SaaS solution, a fraud protect API service for companies to protect their organizations from BEC/EAC scams and help securely perform B2B transactions. The SaaS Factory team spoke with Darryl Maraj, Head of Technology at DIG and CTO at Blockrails, to learn more about Blockrails, the value its new FraudBlock solution brings to customers, and the key lessons learned building a SaaS solution on AWS.

We are excited to highlight 72 AWS Partners that received new designations in February for our global AWS Competency, AWS Managed Service Provider (MSP), AWS Service Delivery, and AWS Service Ready programs. These designations span workload, solution, and industry, and help AWS customers identify top AWS Partners that can deliver on core business objectives. AWS Partners are focused on your success, helping customers take full advantage of the business benefits AWS has to offer.

Large-scale database migrations are difficult, have multiple phases, and are time-consuming. Customers want a simpler way to achieve large-scale migration with little to no downtime. Learn how Futuralis helped their customer migrate more than 50,000 MySQL databases hosted on an Amazon EC2 server to Amazon Aurora relational database using AWS and native MySQL tools. The customer had MySQL version 5.5 hosted on EC2 with more than 50,000 databases with 1.5 million tables and hundreds of millions of records.

To help enterprise clients increase their cloud initiatives, Sourced Group has developed a Serverless Adoption Programme for enterprises. In this post, we provide an updated version of server-focused data transfer costs that others have created and shared in the past. Sourced Group also created an entirely new visual for its own training materials that is focused on the AWS data transfer costs relevant to serverless architectures.

To quickly build intelligent data-driven workflows, organizations need business analysts to work with data scientists and development teams to unlock useful insights from unstructured or semi-structured data. Learn how KNIME’s end-to-end data science product portfolio helps bridge the gap between the ideation and productionalization steps of data science projects, while also assisting in the communication of key data science aspects between teams.

Enterprise customers are modernizing existing workloads to cloud for various reasons. Cost optimization has always been a conversation starter, but that leads to application modernization and operational excellence, which brings agility to application development and enables faster GTM. Learn how Cognizant can help bridge the gap between the infrastructure-as-a-service and integration-platform-as-a-service platform models for modernizing batch processing applications on AWS.

As a modernization service provider, Effectual is focused on a cloud-first approach that includes end-to-end managed and professional services for every stage of IT modernization. Effectual views managed services from a holistic perspective that prioritizes security and compliance. Learn how they were able to integrate AWS next-generation monitoring, as well as operational services like Amazon DevOps Guru, to enhance the company’s managed services offering.

Exasol provides a high performance in-memory analytics database to give organizations the power to transform how they work with data. Working with AWS SaaS Factory, Exasol launched their analytics database through a SaaS model and navigated technical and business decisions for launch and beyond. In this Q&A, Peter Jackson, Chief Data and Analytics Officer at Exasol, shares insights on their journey and advice for organizations who are in the process of building SaaS on AWS.

Recognizing a user’s signature is an essential step in banking and legal transactions, and typically involves relying on human verification. Learn how Capgemini uses machine learning from AWS to build ML-models to verify signatures from different user channels including web and mobile apps. This ensures organizations can meet the required standards, recognize user identity, and assess if further verifications are needed.