Category: AWS Partner Network

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.

In August 2023, AWS participated as a Global Diamond Sponsor at VMware Explore US 2023. Alongside AWS Partner VMware, the event highlighted our commitment to aiding customers in their digital transformation journey. From the AWS booth to sponsored sessions, our presence at VMware Explore showcased how customers can achieve a faster, safer, and more cost-effective cloud journey with VMware Cloud on AWS. Learn about the exciting announcements and access sessions on demand.

With the rise of large language models, natural language processing, and generative AI models, embeddings are becoming a critical piece of data in more machine learning use cases. In this post, explore different ways embeddings are used in machine learning and where problems can show up that impact your ML models, and how you can use WhyLabs to identify those problems and create monitors to avoid them showing up again in the future.

AWS experts break down how you can build a multi-tenant data ingestion and processing engine using AWS services. We examine each component of this data pipeline and examine some of the key considerations that can influence how you approach designing a SaaS multi-tenant data ingestion process. We also explore how multi-tenant streaming data can be ingested, transformed, and stored using AWS services while ensuring there are constructs built in to the pipeline to ensure secure processing of the data.