Category: Intermediate (200)

A key component of a financial institution’s transactional infrastructure is the connectivity to the SWIFT network and the availability of solutions to run this key workload in the cloud. For customers with existing SWIFT connectivity, it’s easy to switch from an on-premises infrastructure to DiXiO’s cloud solution by switching from sending files to their local AutoClient to sending them to DiXiO’s AWS solution through SFTP, MQ, or API. Customers can keep their local infrastructure as a backup initially and later disable it completely.

At re:Invent 2021, AWS announced AWS Mainframe Modernization to help customers modernize their mainframe workloads with a managed and highly available runtime environment on AWS. Collaborating with IBM, an AWS Premier Tier Services Partner, AWS is extending the available application modernization options to enable customers to select the right modernization path for their business. To start, we have identified five patterns in support of a hybrid cloud approach.

As customers continue to accelerate business transformation by moving to the cloud, the need for a more self-reliant and integrated cloud governance framework with enhanced security and compliance, cost management, and reporting and analytics, is on the rise. Learn how Infinity Ensure can help enterprises optimize cloud governance with continuous monitoring and tracking, and get recommendations to keep up with cloud innovations.

There is a growing need for automotive dealers to adopt innovative technology to transition into the digital era smoothly, as customers are leaning towards secure, cloud-native solutions with modern features that are backed by superior support. Learn how Tech Mahindra transformed a monolithic application into a resilient and reliable solution to support expanding dealer networks. To build this cloud-native transformation approach, Tech Mahindra used AWS and a microservices-based API-first architecture.

Although the business case for digital analytics is well-articulated, many organizations are looking for ways to build stronger cases around transformations by consolidating data generated across the enterprise with customer behavioral data. Learn how Softcrylic developed the Analytics Shift solution which helps businesses bring Adobe Analytics data into Amazon Redshift to drive deeper insights and data integration.

Ahana provides a fully managed and easy-to-use service for running Presto on AWS, and customers like Metropolis use Ahana to query data in their Amazon S3-based data lake for business intelligence, ad-hoc analytics, and reporting. Learn how Metropolis uses AWS Lake Formation and Ahana to build a data lake that allows their analysts and data scientists to develop a simple, hands-free parking experience for their customers.

Serverless technologies have matured a lot over the years, and it’s easier than ever to deploy the entire stack of applications using serverless and AWS managed services. Infosys is seeing enterprises across industries take advantage of the power of serverless architecture for a variety of use cases. Learn how serverless architecture on AWS can help enterprises modernize their application landscape, along with common use cases and some reference architectures.

As data grows at an exponential rate both in volume and velocity, it becomes important for organizations to carve out a strategy to store data in appropriate locations with the correct safeguards to address data access and privacy concerns. Learn how organizations can transform their data landscape into a more controlled, flexible, and secure landscape using LTI’s Canvas Scarlet Data Mesh framework built on AWS to meet the data challenges an organization faces today.

A closed loop assurance system predicts network events, such as faults and congestions, that are highly probable of causing service degradation or interruption, and automatically take preventive actions to avert service disruptions. Learn how Infosys leveraged AWS data streaming, data analytics, and machine learning services to ingest, process, and analyze high volumes of data from disparate sources; and to build ML models to predict network events that cause service degradation.

Learn how AWS customers and partners can leverage VMware Cloud on AWS Outposts to scale and modernize vSphere workload deployment on premises. With VMware Cloud on AWS Outposts, organizations can now run legacy applications that could not otherwise be migrated to the cloud due to latency, data residency, and local data processing requirements. Additionally, customers have the ability to run vSphere workloads on a fully-managed solution in locations without AWS Regions.