Tag: AWS Partner Guest Post

Learn how to build a Java application in a Docker container and push the container image to Amazon ECR orchestrated by AWS CodePipeline. We’ll use Snyk to scan your code, build a container image, and display the results in both Snyk and Amazon ECR. We’ll also show you how Amazon Inspector utilizes Snyk open source to provide insight into your software security vulnerabilities. All of this functionality is available from the AWS Management Console.

Open banking is revolutionizing financial services and companies like Yapily are at the forefront of this new wave of innovation. Learn how to build and deploy a basic application on AWS in a few simple steps using the Yapily Bank Connector. We’ll demonstrate how an end user would select their bank from a list, securely connect to that bank and give consent to either share data or make a payment. Connecting to thousands of banks, Yapily uses a secure open API to power industry leaders in financial services.

Both AWS and Deloitte understand that a customer’s cloud journey is different and have their own set of requirements. This is why Deloitte’s Cyber CMS solution provides a wide range of options for businesses to choose from to create the right package for them. Learn how Cyber CMS can help organizations become more trustworthy, resilient, and secure through proactive management of cyber risks.

A successful digital transformation stands on a strong foundation of effective application modernization. Wipro has made sustained investments to ease cloud adoption and cloud excellence journeys for customers, and Wipro Cloud Studio on AWS brings together the discovery, assessment, migration, modernization, and transformation suite of capabilities. It’s a suite of tools and processes presented in an integrated control center user interface, all aimed at accelerating a customer’s cloud adoption journey.

In celebration of the 10-year anniversary of the AWS Partner Network (APN), we are highlighting some of our AWS Partners who have grown with us over the past decade. F5 is an industry leader in cloud security and application services with 25+ years of experience helping businesses accelerate and simplify cloud migration. We spoke with Dave Morrissey, AWS Global Alliance Director at F5, to talk about how they worked closely with AWS teams to launch the company’s first SaaS offering, and F5’s plans for the future.

Data mesh is emerging as a paradigm for generating data-driven value and is gaining real-world adoption within industries like financial services and automotive. Learn about the user journeys of two types of data consumers in a mesh platform: business intelligence and data scientists. Explore how BI and AI/ML overlap within a set of data domains, and how a platform architecture further enables the desired experiences within a data mesh.

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.

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.