AWS Partner Network (APN) Blog

IoT leverages edge computing and unlocks many use cases, but developers will tell you collecting and processing data at the edge is not without its challenges. Issues of scalability, connectivity, security, reliability, integration, and management are commonplace. This complexity led the Edge Signal development team to create the Edge Signal infrastructure platform. Learn how it helps keep developers focused on their core business and reduces the distractions of infrastructure complexities.

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.

In this post, delve into the process of detecting tenant activities within microservices spanning multiple AWS accounts. We provide insights into instrumenting AWS Lambda functions to include tenant information in tracing using ADOT and demonstrated how to establish a service map across several AWS accounts using Amazon CloudWatch. By leveraging AWS observability technology, SaaS providers can enhance operational efficiency and redirect their attention towards their desired development goals.

Thousands of organizations rely on Salesforce to manage their customer relationships, though they may store related data in a variety of heterogeneous external systems. Organizations use AWS for the variety of data stores, and Amazon RDS makes it simple for users to set up, operate, and scale databases in the cloud. Learn how to build an integration between Salesforce and Amazon RDS using the Salesforce Connect Adapter for GraphQL.

For years, the Aurea team managed and maintained 120+ AWS-hosted SaaS products across hundreds of AWS accounts. With escalating costs, they needed a way to identify cost savings across their accounts and applications in a safe and scalable way. Learn how Aurea responded to this challenge by developing CloudFix, a scalable solution for finding and fixing cost-saving opportunities in your AWS environment. CloudFix is an AWS cost optimization tool that helps you adopt and use AWS services efficiently.

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.

Thanks to new AWS generative AI innovations and Amazon’s long-standing history of artificial intelligence innovation, we have seen how trusted AWS Partners have identified AWS as a premier choice in generative AI. We’ve also seen how pleased partners are with the many ways these innovations will support customers. Hear success stories from IBM Consulting, Caylent, Cohere, Wipro, Deloitte, Automation Anywhere, Capgemini, and TensorIoT.

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.

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.

We’re excited to announce the AWS Automotive Competency, which helps AWS customers build towards an autonomous, customer-centric, and safe and sustainable future. The AWS Automotive Competency highlights specialized AWS Partners offering professional services and software solutions for automotive customers across: autonomous mobility, software-defined vehicle, connected mobility, sustainability, digital customer experience, product engineering, manufacturing, and supply chain.