Category: Compute

As customers adopt VMware Cloud on AWS, it’s important to provide scalable and reliable hybrid connectivity to help integrate SDDCs with on-premises and cloud-native services. VMware Cloud on AWS customers have additional network security requirements including network encryption, firewall integration, and traffic segmentation. Learn about hybrid network design patterns and considerations, and go through various network architecture design options and use cases addressing customer requirements.

AWS provides a secure, reliable, and scalable environment for customers to run their container workloads. Customers running containers on premises are looking to move to AWS to gain agility benefits and reduce technical debt of managing their own infrastructure. Learn how Tech Mahindra transitioned a customer from an on-premises self-managed Kubernetes environment to a managed Amazon EKS platform with centralized self-service deployment options using AWS Service Catalog.

VMware Explore is back in person from August 29 – September 1, and AWS is excited to join business and technical leaders from around the world at this industry event. With expert breakout sessions, insightful roundtables, partnership keynote, and a cloud-focused day, we’ll showcase how VMware Cloud on AWS is helping customers achieve a faster, safer, and cost-effective journey to the cloud. Visit us at VMware Explore to learn how you can accelerate your business transformation goals with VMware Cloud on AWS.

For a recent project, NTT DATA Services was asked to architect and design the migration of a customer’s backend search tool used by two of its applications. Both applications were leveraging Elasticsearch for data storage. Learn how NTT DATA used some of the DevOps pillars to implement migrations using an active migration strategy. The goal was to move from individual Elasticsearch instances on Amazon EC2 to a single multi-tenant hosted Elasticsearch solution per region—in this case, Amazon OpenSearch Service.

Today, many organizations trust Amazon Web Services (AWS) to host their business’s applications and infrastructure. As they continue to innovate, their applications and environments become increasingly complex. This post explores how AWS customers can leverage Gremlin to improve the resiliency and reliability of their applications. Learn how to apply chaos engineering principles to your Amazon EKS environment to increase uptime, reduce incidents, and build more resilient applications, systems, and services.

Amazon EKS and Calico Cloud’s combined solution provides proof of security compliance to meet organizational regulatory requirements, but building and running cloud-native applications in EKS requires communication with other AWS and external third-party services. Learn how you can apply zero-trust workload access controls along with microsegmentation for workloads on EKS, and explore what implementing zero-trust workload access controls and identity-aware microsegmentation means for you.

Building multi-tenant systems can represent a major effort for some teams. This post focuses on introducing strategies that allow developers to write their day-to-day code without having to think about how tenancy might influence their implementation. AWS Lambda Layers allow SaaS architects to centralize tenant-aware libraries without impacting the size or load-time of your application’s functions.

Lack of a modernization strategy can result in unwanted downtime, excess investment, poor quality service, and dead-weight assets into the modernized platform. This post talks about how InfoWise, a Tech Mahindra solution, accelerates the first two stages of the cloud data migration and modernization journey: search and discover and plan and strategy. InfoWise also helps recommend the migration priority by running various dependency intelligence across all the metadata objects.

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.

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.