Tag: AWS Partner Success

The State of Utah’s Office of Recovery Services has successfully moved a 25-years-old mainframe application to AWS GovCloud (US)—in budget and on time—using mainframe modernization capabilities from Deloitte and AWS. The story behind this effort shows how beneficial such a move can be, from a day-to-day perspective and from a strategic perspective. It demonstrates that a high degree of automation and standardization makes this a riskless approach for getting rid of legacy technology such as COBOL and VSAM.

Saint Louis University is at the cutting edge of research, studying human behavior and its economic impact. Learn how the Sinquefield Center for Applied Economic Research (SCAER) uses MontyCloud DAY2, a no-code autonomous CloudOps platform, to run an environment that’s fully automated and self-managed. MontyCloud also helps SCAER automate mounting and unmounting Amazon EBS volumes on demand when Amazon EC2 instances are provisioned.

For a specialty pharmaceutical company, the launch of a new drug is of great importance for their commercial success. Thanks to AI capabilities to crunch massive amounts of data in a short period of time, drug development pipelines that would normally take over a decade are being compressed into a matter of months. Learn how Infosys Data & Analytics Practice and AWS have collaborated to develop the Infosys Life Science Commercial Insights Platform that addresses such needs.

An AWS Well-Architected Review is the optimal way to measure your architecture against AWS best practices and to improve your architecture by addressing critical issues. Learn how the nOps cloud management platform allows customers and consulting partners to have a more accurate view of AWS service configurations in alignment with the Well-Architected Framework. We’ll also explore how nOps enables more prescriptive and real-time insights to continuously improve the architecture over time.

The concept of DataOps was born with the goal of solving issues prevalent in old, complex, and monolithic architectures, and to optimize data pipeline architectures. To meet the demand, Cognizant and AWS jointly built the DataHyperloop solution which provides a real-time view of DataOps and demonstrates automation of continuous integration, delivery, testing, and monitoring of data assets moving across the data lifecycle on AWS.

AWS Partners with the Financial Services Competency have demonstrated industry expertise, readily implemented solutions that align with AWS architectural best practices, and have expert staff with AWS Certifications. Learn about Kasasa’s multi-year migration from legacy architecture to AWS, the benefits of Kasasa’s software-as-a-service rewards platform, and how Kasasa brought 900+ community financial institutions along for this epic journey.

Servian Cloud Foundation helps organizations build an automated, secure, compliant, and fully customizable account and infrastructure foundation on AWS. It’s a well-architected and opinionated blueprint built from Servian’s expertise and experience helping customers address security, compliance, DevOps, and IaC adoption challenges. Servian Cloud Foundation significantly reduces time to adoption for building solutions at speed and scale, while decreasing risk and putting in place consistent best-practice processes.

This post explains the challenges faced by customers running SAP ECC environments on premises and how IBM can accelerate their S/4 HANA transformation journey to AWS. The IBM Accelerated Move Centre (AMC) delivers a cost-effective approach to SAP S/4HANA transformations, enabling customers to migrate and modernize, utilize existing investments, reduce costs, and embrace cloud innovations. IBM has nearly 50 years of experience in the industry, and has completed more than 6,500 SAP projects.

Learn about a multi-regional first-line of support solution Chaos Gears put together using a serverless application running AWS Lambda under the baton of AWS Step Functions to relieve a customer’s engineers from some of their operational burdens. The approach described in this post can be adapted to serve other needs or cover different cases, as AWS Step Functions’ visual workflows allow for a quick translation of business requirements to technical ones.

Kubernetes is hardware-agnostic and can work across a wide range of infrastructure platforms, and Kubeflow—the self-described machine learning toolkit for Kubernetes—provides a Kubernetes-native platform for developing and deploying ML systems. Learn how D2iQ Kaptain on AWS directly addresses the challenges of moving ML workloads into production, the steep learning curve for Kubernetes, and the particular difficulties Kubeflow can introduce.