AWS Partner Network (APN) Blog

Tag: AWS Well-Architected Partners

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How Capgemini is Enabling Organizations and Employees to Return to the Office Using AWS Services

As the world continues to respond to COVID-19, Capgemini is working to find ways to prepare our communities for such pandemics in the future. During this extraordinary time, digital solutions have played a crucial role in enabling employees to work remotely. Learn how the prototype showcased in this post was built by Capgemini and enables an organization to keep track of employee movements within the premises, predict employee sentiment, and help the facilities management team monitor and utilize resources efficiently.

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Accelerate Modernization of Legacy Applications Using Wipro CNAP and Amazon EKS

For many companies, budget and time constraints, along with shifting workplace dynamics and lack of skilled developers, prevent them from taking the leap in modernizing their legacy applications. Learn how Wipro is taking a step forward to address these challenges and deliver cloud transformation at scale with the Cloud Native Acceleration Platform (CNAP). It provides self-service and enhanced developer experience to help build both greenfield cloud-native applications and modernize legacy applications.

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Developing a Serverless, Fully-Managed Connected Vehicle Platform with Real-Time Analytics on AWS

In a recent customer engagement, Quantiphi developed a serverless, fully-managed connected vehicle platform that enabled real-time analytics on telematics data for one of the world’s leading car-as-a-service companies. Learn about IoT-based telematics solutions that are transforming the fleet management industry and explore how Quantiphi helped a U.S.-based fleet management organization make better decisions and improve customer and asset service.

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Signing Data Using Keys Stored in AWS CloudHSM with Python

AWS CloudHSM enables you to generate and use your own encryption keys on AWS. The standard service for managing keys for signing would usually be AWS KMS, but due to legacy requirements from the customer side the team at BJSS needed to support both SHA256 and SHA1. Learn how BJSS successfully signed some data with a key from AWS CloudHSM using Python, and walk through the setup of an AWS CloudHSM cluster for testing using a sample application.

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Taking the Trouble Out of Ticketing with ServiceNow and AWS Support APIs

A fundamental component of the Operational Excellence pillar of the AWS Well-Architected Framework is evolving your environment, incorporating continuous improvement over time. Moving to the cloud should be transformational for a business, by adding agility, and making it easier to innovate. Learn how DXC Technology, an AWS Premier Consulting Partner, integrated their ServiceNow instances with AWS Support so they could accelerate ticket resolution via automating ticket processing.

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Enabling Security and Compliance in an AWS-Based Big Data Analytics Platform Using Cattle Server Automation and IaC

This post describes a solution created by IBM during the migration of a big data and analytics platform for one of the top 10 banks worldwide. The primary drivers were cost efficiency, business agility, and performance. The “pet to cattle” concept was applied to this solution to transform the legacy high availability disaster recovery solution to a more robust and cost-effective cattle-based solution through the use of AWS-native services.

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Solving the Challenge of Customer Verification and Security with Digital Onboarding

Customer onboarding remains a challenging and time-consuming process for most banks. Both digital and traditional processes are often overly complex, resulting in lower conversion rates and higher cost of acquisition. To overcome these challenges, numerous financial institutions have started customer onboarding online. In this post, walk through the use case of one of the largest financial institutes of Europe for whom Infostretch provided a substantial breakthrough to onboard the customers digitally.

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Managing the Evolution of an Amazon Redshift Data Warehouse Using a Declarative Deployment Pipeline

Enterprise data warehouses are complex and consist of database objects that need to be modified to reflect the changing needs of business, data analytics, and machine learning teams. In this post, learn about an approach to managing the evolution of enterprise-scale data warehouses based on the experience of Deloitte’s Data and AI global practice teams. The declarative tool developed by Deloitte that can automatically generate DDL statements to align Amazon Redshift’s state to an approved baseline configuration.

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How to Simplify Machine Learning with Amazon Redshift

Building effective machine learning models requires storing and managing historical data, but conventional databases can quickly become a nightmare to regulate. Queries start taking too long, for example, slowing down business decisions. Learn how to use Amazon Redshift ML and Query Editor V2 to create, train, and apply ML models to predict diabetes cases for a sample diabetes dataset. You can follow a similar approach to address other use cases such as customer churn prediction and fraud detection.

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Coming Together at AWS re:Invent to Connect, Inspire, and Grow Our Communities

As head of Americas Partner Sales for AWS, Rachel Mushahwar is laser-focused on igniting our channel to deliver net-new revenue and help customers leverage innovative technology to achieve the unimaginable. Explore the three core pillars that guide our everyday work with AWS Partners: connect, inspire, grow. Learn how partners like Capgemini, Edrans, Zuggand, Databricks, and F5 are leveraging the AWS Partner Network (APN) to help customers at every stage of their cloud adoption journey.