Category: Serverless

In the post-pandemic era, however, consumers are increasingly less likely to interact with agents in traditional ways. By following the creed of “intuition engineered” while partnering with Unqork and AWS, Cognizant developed a new consumer interaction model to life. Learn how the Cognizant eApp Collaboration Solution, built on Unqork’s codeless development platform using AWS serverless architecture, brings increased engagement and productivity to the virtual new business experience.

Once data is available in Amazon Redshift Serverless, businesses typically look at ways to turn data into business insights. This is where modern analytics providers such as ThoughtSpot provide value. With its powerful AI-based search, live visualizations, and developer tools and APIs for sharing embedded analytics, ThoughtSpot democratizes access to data by providing self-service tools for all users. Learn how to create a connection between Amazon Redshift Serverless and ThoughtSpot.

Data analytics and data science are constantly described as a black box that only technical people understand. To overcome this, AWS offers a set of services that make it easier for any user to learn firsthand from the data. This self-service approach enables non-technical users without coding experience to be more autonomous in their analysis. Learn how Data Reply empowers organizations with advanced analytics to achieve outstanding outcomes through the right use of data.

Digital food ordering is one of the most rapidly growing global industries today. Cognizant’s OrderServ 2.0 platform is an omni-channel digital ordering platform designed for the restaurant and food services industries. It has built-in connectors for seamless integration with restaurant point-of-sale (POS) systems, master data management, payments services, loyalty programs, and other business applications. OrderServ 2.0 is offered as a SaaS platform hosted on AWS.

Large enterprise customers depend heavily on commercial off the shelf (COTS) products for scheduling jobs or running batch jobs, but these COTS products are often not cloud-native which prevents them from taking advantage of the various cloud services. Learn how Resolution Life US collaborated with Cognizant and AWS to modernize its on-premises third-party enterprise job scheduler with an event-driven custom scheduler solution using Amazon FSx, AWS Step Functions, Amazon EventBridge, and AWS Lambda.

Developing and deploying .NET applications on AWS helps organizations achieve the scale and agility offered by cloud computing. The TCS Serverless .NET deployment solution uses the AWS Serverless Application Model (AWS SAM) and simplifies deployment, scalability, and maintenance of .NET applications while providing increased efficiencies and easy adoption of the .NET solutions on AWS. Learn about the solution’s overview, architecture, key principles, and benefits using a case study from a large financial services company.

AdaptX clinical management software uses electronic medical records (EMRs) to derive insights—enabling providers and clinical leaders to efficiently leverage real-world data to transform patient care. This post explores how AdaptX built a modern data architecture using Amazon Athena, AWS Lambda, and AWS Step Functions to automate the extraction, transformation, and loading (ETL) of clinical data from provider EMR systems. Results included improved accuracy, scalability, and a better end-customer experience.

Explore a solution Contino built for a client to automate security scanning on software packages. This allowed developers to continue building, without added friction, and helped security teams be confident that vulnerabilities are discovered early and didn’t make their way to production. Learn about the context Contino was working with and the approach it took, and the technical challenges faced. After reading this post, you’ll understand how to develop a similar solution for your organization and some pitfalls to avoid.

Building multi-tenant systems can represent a major effort for some teams. This post focuses on introducing strategies that allow developers to write their day-to-day code without having to think about how tenancy might influence their implementation. AWS Lambda Layers allow SaaS architects to centralize tenant-aware libraries without impacting the size or load-time of your application’s functions.

The increase in market uncertainty over the last couple of years has demonstrated the need for market participants to have a dynamic view of the risks and impacts due to market moves on their portfolios. This post explores how Validus, a leading independent technology-enabled financial services firm, built a Bloomberg real-time market data integration using serverless managed services on AWS.