AWS Partner Network (APN) Blog
Tag: AWS Well-Architected Partners
Implementing Industry 4.0 with AWS to Achieve IoT Integration, Scale, and Observability
AWS offers a wide range of services that can help implement Industry 4.0 processes and tools seamlessly. Concept Reply supports and advises customers on all aspects of IoT and cloud computing—from designing and developing customized IoT solutions to implementing and managing them seamlessly. Learn how AWS services can be utilized to develop a scalable IoT solution that offers high performance and low latency, along with monitoring capabilities that help achieve Industry 4.0 standards.
Building an Over-the-Air Software Updater for the Automotive Industry Using AWS
Luxoft, a DXC Technology Company, created an over-the-air (OTA) update solution reference on AWS using microservice architecture. Learn how this helps manufacturers deliver new features, fixes, and upgrades to in-vehicle software while providing customers the flexibility of choosing the time and features without going to a dealership or workshop in person. We’ll also discuss several functional use cases and demonstrate the benefits of Luxoft’s design and implementation approach.
AWS and Version 1: A Decade of Collaboration and Growth
Version 1 is a leading AWS Partner across the UK and Ireland and specializes in the migration, optimization, and running of complex enterprise workloads on AWS. An AWS Premier Tier Services Partner, Version 1 has collaborated with AWS for more than 10 years and was one of the first AWS consulting partners in Europe. Learn about Version 1’s rich history of delivering successful AWS technology solutions to organizations around the globe and why the firm was named 2022 AWS Migration Partner of the Year – EMEA.
Best Practices from Eviden for Leveraging AWS Resilience Hub to Protect Applications
Resiliency in the cloud is the ability to maintain availability and recover from software and operational disruption in a designated time frame. Following best practices from the AWS Well-Architected Framework, AWS Resilience Hub enables visibility for applications deployed by AWS CloudFormation, including cross-region and cross-account stacks. AWS Resilience Hub also supports defining an application AppRegistry, resource groups, Terraform, and applications using Amazon EKS.
How Accenture Accelerates Building Enterprise Data Mesh Architecture on AWS
Data mesh is a decentralized approach to data management which strives to develop the data platform from a technology-led and project-centric model into a paradigm about federated business-led and product-centric data, by design. Learn how AWS and Accenture are helping customers rapidly set up data mesh architecture on AWS leveraging the newly-announced Velocity platform. Explore how Velocity’s Data Mesh Fabric component can minimize time and effort to set up data mesh architecture on AWS.
Transforming Aviation Maintenance with the Infosys Generative AI Solution Built on Amazon Bedrock
Commercial aircraft maintenance, repair, and overhaul (MRO) is a global business requiring unique scheduled and unscheduled maintenance, as well as regulatory compliance to ensure airworthiness for continued operation. Learn how an Infosys generative AI-based solution built on Amazon Bedrock enhanced productivity and leveled the playing field for newcomers in MRO. The solution aims to reduce the expenditure on document search, analysis, interpretation, and management.
Embracing FinOps to Maximize Cloud Value and Control Costs with the Deloitte FinOps Framework
Embracing cloud FinOps presents organizations with a solution to drive the right governance model and align business and engineering teams to accelerate business value. Deloitte is a FinOps Certified Service Provider and its services help customers examine and plan for cloud consumption and monitor costs to minimize cloud-spend waste. By implementing the Deloitte FinOps framework, organizations gain a holistic understanding of their cloud usage and costs to help them make data-driven decisions.
Improving System Resilience and Observability: Chaos Engineering with AWS FIS and AWS DLT
By automating performance testing and including chaos testing, organizations can identify failure scenarios in systems before they develop and cause downtime. Learn how Distributed Load Testing on AWS (DLT) automates performance testing at scale, and how AWS Fault Injection Simulator (AWS FIS) performs controlled chaos engineering experiments on AWS resources. By combining the power of AWS FIS and DLT, organizations can perform comprehensive resilience testing and continuously validate their systems.
Streamlining Prior Authorization with Treatline’s Generative AI Platform for Healthcare and Insurance Providers
Prior authorization is an insurance review process used by healthcare providers to confirm medical coverage with health insurance companies. Learn how Neurons Lab collaborated with Treatline on its platform to streamline the highly manual prior authorization process using intelligent document processing (IDP) and generative AI. Neurons Lab is an innovative technology company specializing in AI/ML and software development.
Best Practices from Pragma for Navigating the API Economy with Observability and AWS
The term “API economy” refers to businesses delivering digital services to end users, other company services, or partners. This post discusses the necessary aspects to achieve an observability model in the API economy, including a practice example with an architecture design and related technologies. Based on Pragma’s extensive experience, explore the mainstays of observability and the importance of having well-defined observability architecture to have a thriving API economy model at scale.