Tag: Amazon EKS

Measure cluster performance impact of Amazon GuardDuty EKS Agent

Introduction Amazon GuardDuty is a threat detection service that continuously monitors your AWS environment for malicious activity and anomalous behavior. Since its launch in 2017, Amazon GuardDuty has expanded its visibility and threat detection coverage. Amazon GuardDuty is capable of analyzing tens of billions of events per minute across multiple AWS data sources such as […]

Serve distinct domains with TLS powered by ACM on Amazon EKS

Introduction AWS Elastic Load Balancers provide native ingress solutions for workloads deployed on Amazon Elastic Kubernetes Service (Amazon EKS) clusters at both L4 and L7 with Network Load Balancer and Application Load Balancer (ALB). The AWS Load Balancer Controller, formerly called the AWS ALB Ingress Controller, satisfies Kubernetes ingress using ALB and service type load […]

Using SBOM to find vulnerable container images running on Amazon EKS clusters

Introduction When you purchase a packaged food item in your local grocery store, you probably check the list of ingredients written to understand what’s inside and make sure you aren’t consuming ingredients inadvertently that you don’t want to or are known to have adverse health effects. Do you think in a similar way when you […]

Automating custom networking to solve IPv4 exhaustion in Amazon EKS

Introduction When Amazon VPC Container Network Interface (CNI) plugin assigns IPv4 addresses to Pods, it allocates them from the VPC CIDR range assigned to the cluster. While it makes Pods first-class citizens within the VPC network, it often leads to exhaustion of the limited number of IPv4 addresses available in the VPCs. The long term […]

AWS Fargate adds support for larger ephemeral volumes

Introduction AWS Fargate is a serverless, pay-as-you-go compute engine that allows you focus on building applications without having to manage servers. Starting today, the amount of ephemeral storage you can allocate to the containers in a EKS Fargate pod is configurable up to a maximum of 175 GiB per pod. Prior to this launch, all […]

How optimized and secured their AI/ML infrastructure with Karpenter and Bottlerocket

This post was co-written with Ophir Zahavi, Cloud Engineering Manager, Introduction is a visionary leader in democratizing artificial intelligence (AI) by rapidly provisioning AI platforms that help businesses make better decisions. Our company’s SaaS platform, built on AWS, H2O AI Managed Cloud, enables businesses to build productive models and gain insights from their […]

Application first delivery on Kubernetes with Open Application Model

This post was co-written with Daniel Higuero, CTO, Napptive Introduction In the era of cloud-native applications, Kubernetes has emerged as a prominent technology in the container orchestration space. However, using Kubernetes requires users to not only run and manage cluster configurations, cluster-wide add-ons, and auxiliary tooling, but also to understanding application deployment configurations (e.g., Deployments, […]

Building better container images

Introduction Many applications built today or modernized from monoliths are done so using microservice architectures. The microservice architecture makes applications easier to scale and faster to develop, which enables innovation and accelerating time-to-market for new features. In addition, microservices also provide lifecycle autonomy enabling applications to have independent build and deploy processes, which provides technological […]

Securing Kubecost access with Amazon Cognito

Introduction Kubecost provides real-time cost visibility and insights for teams using Kubernetes. It has an intuitive dashboard to help you understand and analyze the costs of running your workloads in a Kubernetes cluster. Kubecost is built on OpenCost, which was recently accepted as a Cloud Native Computing Foundation (CNCF) Sandbox project, and is actively supported […]

AWS Fault Injection Simulator supports chaos engineering experiments on Amazon EKS Pods

Introduction Chaos engineering is the discipline of verifying the resilience of your application architecture to identify unforeseen risks, address weaknesses, and ultimately improve confidence in the reliability of your application. In this blog, we demonstrate how to automate running chaos engineering experiments using the new features in AWS Fault Injection Simulator (AWS FIS) to target […]