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Calculating SaaS Cost Per Tenant: A PoC Implementation in an AWS Kubernetes Environment | Amazon Web Services
Calculating SaaS Cost Per Tenant: A PoC Implementation in an AWS Kubernetes Environment | Amazon Web Services
In a SaaS environment, the compute, storage, and bandwidth resources are often shared among tenants, but this makes it challenging to deduce per tenant cost. A SaaS application running on a Kubernetes cluster on AWS adds a layer of further complexity as far as calculating the per tenant cost. Kubernetes is great at abstracting away the underlying pool of hardware. It almost gives us an illusion of having access to a single large compute resource.
·aws.amazon.com·
Calculating SaaS Cost Per Tenant: A PoC Implementation in an AWS Kubernetes Environment | Amazon Web Services
How to rapidly scale your application with ALB on EKS (without losing traffic) | Amazon Web Services
How to rapidly scale your application with ALB on EKS (without losing traffic) | Amazon Web Services
To meet user demand, dynamic HTTP-based applications require constant scaling of Kubernetes pods. For applications exposed through Kubernetes ingress objects, the AWS Application Load Balancer (ALB) distributes incoming traffic automatically across the newly scaled replicas. When Kubernetes applications scale down due to a decline in demand, certain situations will result in brief interruptions for end […]
·aws.amazon.com·
How to rapidly scale your application with ALB on EKS (without losing traffic) | Amazon Web Services
Understanding data transfer costs for AWS container services | Amazon Web Services
Understanding data transfer costs for AWS container services | Amazon Web Services
Overview Data transfer costs can play a significant role in determining the overall design of a system. Amazon Elastic Container Registry (Amazon ECR), Amazon Elastic Container Service (Amazon ECS), and Amazon Elastic Kubernetes Service (Amazon EKS) can incur data transfer charges depending on a variety of factors. It can be difficult to visualize what that means […]
·aws.amazon.com·
Understanding data transfer costs for AWS container services | Amazon Web Services
Addressing latency and data transfer costs on EKS using Istio | Amazon Web Services
Addressing latency and data transfer costs on EKS using Istio | Amazon Web Services
Data transfer charges are often overlooked when operating Amazon Elastic Kubernetes Service (Amazon EKS) clusters; understanding these charges would help reduce cost while operating your workload on Amazon EKS at production scale. Common scenarios for data transfer charges on EKS Understanding general data transfer charges on AWS will help you better understand the EKS networking […]
·aws.amazon.com·
Addressing latency and data transfer costs on EKS using Istio | Amazon Web Services
Monitoring Amazon EMR on EKS with Amazon Managed Prometheus and Amazon Managed Grafana | Amazon Web Services
Monitoring Amazon EMR on EKS with Amazon Managed Prometheus and Amazon Managed Grafana | Amazon Web Services
Apache Spark is an open-source lightning-fast cluster computing framework built for distributed data processing. With the combination of Cloud, Spark delivers high performance for both batch and real-time data processing at a petabyte scale. Spark on Kubernetes is supported from Spark 2.3 onwards, and it gained a lot of traction among enterprises for high performance and […]
·aws.amazon.com·
Monitoring Amazon EMR on EKS with Amazon Managed Prometheus and Amazon Managed Grafana | Amazon Web Services
Exploring the effect of Topology Aware Hints on network traffic in Amazon Elastic Kubernetes Service | Amazon Web Services
Exploring the effect of Topology Aware Hints on network traffic in Amazon Elastic Kubernetes Service | Amazon Web Services
Topology Aware Hints (TAH) is a feature that available in Amazon EKS version 1.24. It’s intended to provide a mechanism that attempts to keep traffic closer to its origin within the same AZ on in another location. In this post, we’ll explore how this feature can be used with Amazon EKS, its effects on how traffic is routed between pods within an Amazon EKS cluster when using multiple AZs, and whether this functionality allows Amazon EKS customers to optimize the latency and inter-AZ data transfer costs in this architecture.
·aws.amazon.com·
Exploring the effect of Topology Aware Hints on network traffic in Amazon Elastic Kubernetes Service | Amazon Web Services
Scale from 100 to 10,000 pods on Amazon EKS | Amazon Web Services
Scale from 100 to 10,000 pods on Amazon EKS | Amazon Web Services
This post was co-authored by Nikhil Sharma and Ravishen Jain of OLX Autos Introduction We, at OLX Autos run more than 100 non-production (non-prod) environments in parallel for different use-cases on home grown Internal Developer Platform (IDP), ORION. ORION runs on Amazon Elastic Kubernetes Service (Amazon EKS). Each of the Autos environment consists of at […]
·aws.amazon.com·
Scale from 100 to 10,000 pods on Amazon EKS | Amazon Web Services
Using Prometheus to Avoid Disasters with Kubernetes CPU Limits | Amazon Web Services
Using Prometheus to Avoid Disasters with Kubernetes CPU Limits | Amazon Web Services
“Sir, your application is continually getting throttled,” I repeated. The highly skilled team that I was brought in to help with an outage was in disbelief. They had been using the same limits configuration in production for over two years. Yet, the Grafana chart was definitive: CPU throttling was causing the outage they were currently […]
·aws.amazon.com·
Using Prometheus to Avoid Disasters with Kubernetes CPU Limits | Amazon Web Services
Creating Kubernetes Auto Scaling Groups for Multiple Availability Zones | Amazon Web Services
Creating Kubernetes Auto Scaling Groups for Multiple Availability Zones | Amazon Web Services
Kubernetes is a scalable container orchestrator that helps you build fault-tolerant, cloud native applications. It can handle automatic container placement, scale up and down, and provision resources for your containers to run. While Kubernetes can take care of many things, it can’t solve problems it doesn’t know about. Usually these are called unknown unknowns and […]
·aws.amazon.com·
Creating Kubernetes Auto Scaling Groups for Multiple Availability Zones | Amazon Web Services
Updating a managed node group - Amazon EKS
Updating a managed node group - Amazon EKS
This is official Amazon Web Services (AWS) documentation for Amazon Elastic Kubernetes Service (Amazon EKS). Amazon EKS is a managed service that makes it easy for you to run Kubernetes on AWS without needing to install and operate your own Kubernetes clusters. Kubernetes is an open-source system for automating the deployment, scaling, and management of containerized applications.
·docs.aws.amazon.com·
Updating a managed node group - Amazon EKS
Building for Cost optimization and Resilience for EKS with Spot Instances | Amazon Web Services
Building for Cost optimization and Resilience for EKS with Spot Instances | Amazon Web Services
This post is contributed by Chris Foote, Sr. EC2 Spot Specialist Solutions Architect Running your Kubernetes and containerized workloads on Amazon EC2 Spot Instances is a great way to save costs. Kubernetes is a popular open-source container management system that allows you to deploy and manage containerized applications at scale. AWS makes it easy to run […]
·aws.amazon.com·
Building for Cost optimization and Resilience for EKS with Spot Instances | Amazon Web Services
Managed node groups - Amazon EKS
Managed node groups - Amazon EKS
This is official Amazon Web Services (AWS) documentation for Amazon Elastic Kubernetes Service (Amazon EKS). Amazon EKS is a managed service that makes it easy for you to run Kubernetes on AWS without needing to install and operate your own Kubernetes clusters. Kubernetes is an open-source system for automating the deployment, scaling, and management of containerized applications.
·docs.aws.amazon.com·
Managed node groups - Amazon EKS
Seamlessly migrate workloads from EKS self-managed node group to EKS-managed node groups | Amazon Web Services
Seamlessly migrate workloads from EKS self-managed node group to EKS-managed node groups | Amazon Web Services
Amazon Elastic Kubernetes Service (Amazon EKS) managed service makes it easy to run Kubernetes on AWS without needing to install, operate, and maintain your own Kubernetes control plane. When Amazon EKS was made generally available in 2018, it supported self-managed node groups. With self-managed node groups, customers are responsible for configuring the Amazon Elastic Compute […]
·aws.amazon.com·
Seamlessly migrate workloads from EKS self-managed node group to EKS-managed node groups | Amazon Web Services
Managing Pod Scheduling Constraints and Groupless Node Upgrades with Karpenter in Amazon EKS | Amazon Web Services
Managing Pod Scheduling Constraints and Groupless Node Upgrades with Karpenter in Amazon EKS | Amazon Web Services
Overview Karpenter is a high-performance Kubernetes cluster autoscaler that can help you autoscale your groupless nodes by letting you schedule layered constraints using the Provisioner API. Karpenter also makes node upgrades easy through the node expiry TTL value ttlSecondsUntilExpired. This blog post will walk you through all of the steps to make this possible, and […]
·aws.amazon.com·
Managing Pod Scheduling Constraints and Groupless Node Upgrades with Karpenter in Amazon EKS | Amazon Web Services
Using Amazon EC2 Spot Instances with Karpenter | Amazon Web Services
Using Amazon EC2 Spot Instances with Karpenter | Amazon Web Services
Overview Karpenter is a dynamic, high performance cluster auto scaling solution for the Kubernetes platform introduced at re:Invent 2021. Customers choose an auto scaling solution for a number of reasons, including improving the high availability and reliability of their workloads at the same reduced costs. With the introduction of Amazon EC2 Spot Instances, customers can […]
·aws.amazon.com·
Using Amazon EC2 Spot Instances with Karpenter | Amazon Web Services
Configure Quality of Service for Pods
Configure Quality of Service for Pods
This page shows how to configure Pods so that they will be assigned particular Quality of Service (QoS) classes. Kubernetes uses QoS classes to make decisions about scheduling and evicting Pods. Before you begin You need to have a Kubernetes cluster, and the kubectl command-line tool must be configured to communicate with your cluster. It is recommended to run this tutorial on a cluster with at least two nodes that are not acting as control plane hosts.
·kubernetes.io·
Configure Quality of Service for Pods