Tag: AWS Partner Success Stories

For Crayon, an AWS Premier Tier Services Partner, the idea of a Cloud Center of Excellence (CCoE) started from its vision and strategy to accelerate cloud adoption for customers—from cloud strategy, migration, and modernization to managed operations. Learn how a CCoE plays a strategic role when it comes to centralizing the knowledge in order to make solutions available in a quick and repeatable way to different departments in the organization.

AWS Transfer Family provides SFTP, FTPS, and/or FTP access to Amazon S3 or Amazon Amazon EFS. It does that by providing a secure, highly available, and scalable server endpoint. You pay for the time this endpoint is enabled, and for data transfer (upload and download). Learn how this makes a multi-tenant setup where an endpoint is shared between different users (or applications), a more cost-efficient solution than having dedicated endpoints.

The AWS Competency program validates and promotes AWS Partners with demonstrated technical expertise and proven customer success. Attaining a Competency helps partners market and differentiate their business to customers by showcasing their capabilities in specialized areas. To get there, it’s important AWS Partners have a list of best practices and recommendations. Learn how partners can achieve and make the most out of the AWS Competency program through four key steps.

Cisco Meraki customers commonly question how they can extend their SD-WAN environment into an existing Amazon Web Services (AWS) footprint. They desire high availability and a way to automate reachability from their cloud resources down to their local branches. This post explores how Cisco Meraki customers can use an AWS Quick Start to help automate the highly available deployment of Meraki vMXs in multiple AWS Regions along with route propagation.

Deploying machine learning (ML) models as a packaged container with hardware-optimized acceleration, without compromising accuracy and while being financially feasible, can be challenging. As machine learning models become the brains of modern applications, developers need a simpler way to deploy trained ML models to live endpoints for inference. This post explores how a ML engineer can take a trained model, optimize and containerize the model using OctoML CLI, and deploy it to Amazon EKS.

Data quality is traditionally inconsistent and slow across teams and functions. Custom solutions are purpose-built, of varying quality, and rarely maintained. Elula developed a proprietary Data Quality Checker (DQC) powered by AWS Glue, and an Automated Data Assessment (ADA) user interface to accelerate the identification and prioritization of issues. Elula is an AWS Partner and leading provider of artificial intelligence (AI) software to the financial services sector.

With support from AWS SaaS Factory, CHESA built and launched Acorn Cloud as a SaaS solution on AWS, allowing small and mid-size creative teams to create, edit, and deliver video content, while lowering the barrier of entry for access to collaboration tools as fully managed services. Hear from Lance Hukill, Chief Commercial Officer at CHESA, and about the value the new Acorn Cloud SaaS platform brings to customers.

Learn how T-Systems has enabled AWS Config at scale on Deutsche Telekom IT’s AWS landing zone, which is a brownfield environment with more than 600 AWS accounts. AWS Config is a governance and compliance service that enables you to assess, audit, and evaluate the configurations of your resources. The main motivator for Deutsche Telekom IT using AWS Config is that developing compliance checks using custom tools was time consuming, unscalable, and came with a large operational overhead.

Legacy technologies such as COBOL, IDMS, Natural, Adabas, Assembler, IMS, and EGL, as well as their rapidly vanishing expertise, are becoming the number one burden for many mainframe customers. Learn how Astadia can help customers quickly and safely move entire mainframe applications to AWS. Astadia works with clients to modernize their IT investments to accelerate time to value, increase productivity, decrease risk, and optimize costs.

Data is growing in all aspects of our world; every vertical and technical domain is being pushed to the limit by growing data—geospatial is no exception. Learn about Esri’s ArcGIS GeoAnalytics Engine on Amazon EMR and how its geospatial capabilities can complement your current analytics workflows. GeoAnalytics seamlessly integrates with Amazon EMR and can be deployed with an Esri-provided bootstrap script at EMR cluster creation.