Category: Amazon Elastic Kubernetes Service

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.

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).

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 Amazon Amazon EKS and other cloud-native services including Amazon ElastiCache for Redis and Amazon Amazon 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.

Understanding the performance of your Amazon EKS clusters and applications is critical, but without the proper tools identifying problems can be difficult. You need the ability to detect, analyze, and resolve them as fast as possible. New Relic’s EKS Blueprints add-on for the Amazon EKS Blueprints framework is built on the AWS Cloud Development Kit (CDK) and simplifies deploying Kubernetes observability components from New Relic to your EKS clusters, using programming concepts you’re already familiar with.

Many SaaS providers are leveraging Amazon EKS to build their solutions on AWS, as EKS provides builders with a range of different constructs that can be used to implement multi-tenant strategies. In this post, explore an architecture based on EKS that demonstrates a siloed SaaS deployment model, using Istio Service Mesh to manage request authentication and per-tenant routing. Istio is an open-source service mesh that many SaaS providers use for deploying their multi-tenant applications.

Enterprises are embracing the Kubernetes orchestration platform for their DevOps and CI/CD processes. Amazon EKS makes this transition easy by managing the still relatively new Kubernetes ecosystem and ensuring IT admins can focus on the next area of innovation for their organizations. With the ability to deploy the Juniper cSRX Container Firewall in an Amazon EKS environment, customers can leverage the benefits of the container for protecting their workloads.

For many companies, budget and time constraints, along with shifting workplace dynamics and lack of skilled developers, prevent them from taking the leap in modernizing their legacy applications. Learn how Wipro is taking a step forward to address these challenges and deliver cloud transformation at scale with the Cloud Native Acceleration Platform (CNAP). It provides self-service and enhanced developer experience to help build both greenfield cloud-native applications and modernize legacy applications.

Securing the Kubernetes environment without compromising on developer agility holds the key to success with cloud-native adoption. The Nirmata Kubernetes Platform is designed to address these challenges comprehensively. It’s an open and easy-to-adopt platform to deploy, operate, and optimize Kubernetes workloads on any infrastructure, enabling self-service, segregation of responsibilities, and security and governance controls.