Category: HAQM Elastic Kubernetes Service

We are pleased to announce the new HAQM EKS Delivery specialization to help customers find validated AWS Partners that can help them implement their workloads using Kubernetes on top of HAQM EKS. The HAQM EKS Delivery specialization recognizes AWS Partners who have demonstrated technical proficiency to architect, run, and operate containerized workloads on top of HAQM EKS, helping customers drive success in their container-based modernization efforts.

Every SaaS architecture must introduce mechanisms and policies that prevent noisy neighbor conditions. Getting these policies right is essential to building a robust SaaS solution that delivers a consistent experience to customers. This post looks at the different strategies that can be used to introduce the throttles (transaction rate) and quotas (transaction volume) that manage each tenant’s activity, exploring the various AWS services that can be used to bring these concepts to life.

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 HAQM EKS platform with centralized self-service deployment options using AWS Service Catalog.

Today, many organizations trust HAQM 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 HAQM EKS environment to increase uptime, reduce incidents, and build more resilient applications, systems, and services.

HAQM 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.

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 HAQM EKS.

The F5 BIG-IP Virtual Edition (VE) load balancer deployment adds new Layer 4 application capabilities and added visibility to those applications inside an HAQM 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).

Cisco Secure Firewall Cloud Native (SFCN) is a lightweight network firewall in a cloud-native form factor. Offering granular control and massive throughput potential, SFCN enables security at the speed of business. It offers an easy way to deploy scalable remote access VPN architecture as its primary use case. The solution utilizes HAQM HAQM EKS and other cloud-native services including HAQM ElastiCache for Redis and HAQM HAQM EFS.

Lifion by ADP is an AWS-qualified software offering that builds human capital management (HCM) software to help large, international enterprises manage their workforce. This post explores Lifion’s Kubernetes availability strategy, the datastore design principles used to provide high reliability, and their approach to cell-based reliability engineering (CBRE), which provides mechanisms to compose and re-compose ADP systems against interruptions.

As container usage increases in application modernization efforts, Kubernetes plays an important role in managing container-based applications. Managing these multi-cluster life cycle, application deployments, and enforcing security policies across clusters is often challenging and time consuming. Learn how Red Hat Advanced Cluster Management for Kubernetes (RH ACM) addresses the challenges associated with managing multiple clusters and meets the requirements of multiple personas.