Tag: AWS CodeBuild

In computer vision applications, the transmission of video data to the cloud for analysis can result in added delays due to various contributing factors such as queuing, propagation, and network latency. Learn how the Nordcloud team, in collaboration with AWS, has designed a “Computer Vision at the Edge” solution based on AWS Panorama. It caters to organizations seeking low-latency decision making without the burden of managing complex technology.

When you combine AWS CodeBuild with Snyk to deploy your infrastructure as code project, you gain a repeatable process that’s easy to track and manage that happens to include security results. AWS provides the automation while Snyk provides enhanced security. Learn how to manage an IaC project written with Terraform by HashiCorp and deployed with AWS CodeBuild, and review results before a scan and after when hidden issues are often revealed.

Learn how to implement database software development lifecycle (SDLC) automation when leveraging the AWS Amplify framework to quickly create a three-tier web application following cloud engineering best practices. This approach from AWS Premier Partner Innovative Solutions leverages the AWS Code suite coupled with the Amplify CLI to integrate database migrations against an Aurora Serverless V1 PostgreSQL cluster with deployment of an Amplify project.

Security is job zero at AWS and is one of the most important design principles of a Well-Architected Framework. Learn how to implement a 5G end-to-end security model based on Zero Trust principles using Palo Alto Networks’ 5G-native security solution for highly distributed and cloud-native 5G networks—with containerized 5G security and real-time threat correlation among 5G users, device identifiers, and a 5G network slice.

IBM Z and Cloud Modernization Stack on AWS provide a cloud-native experience to modernize development practices, helping developers adopt a unified set of tools and DevOps methodology. Learn how the Wazi components available in IBM Z and Cloud Modernization Stack provide modern experiences for analyzing, developing, and testing mainframe applications in an isolated way, implementing the DevOps philosophy for developers to gain speed and flexibility.

One of the key objectives of any transformation program is to find a novel way to achieve results in the shortest possible time, with speed and accuracy. Virtusa has been doing lot of work in the automation-led transformation space and has collaborated with AWS to help realize business benefits for customers across globe. Explore Virtusa’s perspectives on the low-code/no-code approach and walk through a homegrown solution framework.

Platea Banking is a digital banking solution developed by NTT DATA to be used by clients as an accelerator in their modernization journeys, especially when creating a new banking platform. It’s positioned as a modernization vehicle that provides a ready-to-go digital infrastructure and architecture over both internal and external components as core. Platea includes pre-built functional modules and integrations with a third-party ecosystem, with Mambu at its heart as a core engine.

Digital food ordering is one of the most rapidly growing global industries today. Cognizant’s OrderServ 2.0 platform is an omni-channel digital ordering platform designed for the restaurant and food services industries. It has built-in connectors for seamless integration with restaurant point-of-sale (POS) systems, master data management, payments services, loyalty programs, and other business applications. OrderServ 2.0 is offered as a SaaS platform hosted on AWS.

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.

Firms spend substantial efforts to identify and collect quality data streams from different sources. However, identifying and interpreting energy, water, or gas usage patterns and consumption types is sometimes insufficient. In this post, you’ll learn how Storm Reply, combining industry knowledge with its expertise in the development of data analytics platforms in AWS, can help customers in the design, development, and maintenance of secure serverless IoT big data platforms with a focus on sustainability.