Tag: Amazon EKS

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.

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.

Armory recently launched its Continuous Deployment-as-a-Service solution which delivers the ability to declaratively automate your entire deployment process across multiple environments so that development teams can focus on writing great code rather than deploying it. Learn how the AWS SaaS Factory team supported Armory during the design of the solution through deep-dive workshops and sessions that helped accelerate the delivery of the SaaS product.

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.

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.

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.

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.

The F5 BIG-IP Virtual Edition (VE) load balancer deployment adds new Layer 4 application capabilities and added visibility to those applications inside an Amazon EKS cluster to ensure a successful deployment in a containerized environment. This post presents a step-by-step guide for using the F5 BIG-IP VE on AWS as a load balancer for EKS clusters by using additional components, including the F5 Container Ingress Service (CIS) and F5 IPAM Controller (FIC).

Data-driven decision making is accelerating and defining the way organizations work. With this transformation, there has been a rapid adoption of data lakes across the industry. Hear from Rackspace, an AWS Premier Tier Services Partner, about the drawbacks of existing data lake architecture, what Apache Iceberg is, and how it overcomes the shortcomings of the current state of data lakes. Then dive deep on the design differences between Apache Hive and Iceberg.

Dalet is an AWS Partner and leading technology and service provider for media-rich organizations. We recently spoke with Mathieu Zarouk, Director of Product Marketing at Dalet, to learn more about the new Dalet Flex for teams SaaS solution and the value it brings to customers. We asked Mathieu to share insights from Dalet’s transition to SaaS that can help other software providers planning to adopt this delivery model.