Meetup CNCF Torino - Amazon EKS March 29th 2019
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This document discusses Kubernetes and AWS services. It provides an overview of Amazon EKS and how it allows customers to run Kubernetes on AWS managed control planes. It also discusses some limitations of EKS and how customers can integrate other AWS services like load balancers, IAM authentication, auto scaling, and spot instances with their EKS clusters. The document recommends two open source tools - eksctl and the EKS workshop - to help users get started with EKS.
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2. What is Containerization?
3. Amazon EKS
4. Launch an application on EKS platform
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Intro to Amazon ECS
Docker containers have become a key component of modern application design. Increasingly, developers are breaking their applications apart into smaller components and distributing them across a pool of compute resources.
intro elastic container service amazon aws
This document provides an overview of Amazon EC2 Container Service (ECS). ECS is a highly scalable and high performance container management service that eliminates the need to install and operate your own container infrastructure. It provides container orchestration, deep AWS integration, and cluster management. ECS maps traditional workloads to instances, services, and tasks. It uses load balancers, clusters, and services to run containerized applications across a fleet of EC2 instances. Key features highlighted include task placement strategies, the ECS event stream for CloudWatch logs, IAM roles for tasks, and capabilities for fast deployments and flexible auto-scaling.
Running kubernetes with amazon eks
The document discusses Amazon EKS (Elastic Kubernetes Service), which allows users to run Kubernetes on AWS. It provides an overview of EKS and Kubernetes, the EKS control plane and worker nodes, networking options, storage, scaling, and CI/CD (continuous integration and continuous delivery) workflows. Key points include that EKS manages the control plane for users and integrates well with other AWS services, while allowing users to choose their own worker nodes and retain a native Kubernetes experience.
Docker clusters on AWS with Amazon ECS and Kubernetes
This document summarizes and compares Docker container management on AWS using Amazon ECS and Kubernetes. It provides an overview of ECS and ECR services, new features, customer case studies including Coursera and Segment, and resources for learning more. It also introduces Kubernetes as an open source container orchestrator, describes its architecture including pods, labels, replica sets, deployments and services. KOPS is presented as a tool for deploying and managing Kubernetes clusters on AWS. The Cloud Native Computing Foundation is discussed along with AWS' involvement to promote cloud native technologies.
Getting Started with Amazon EKS (Managed Kubernetes)
This document discusses containers, Docker, Kubernetes, and Amazon EKS. It defines containers as software packages with all dependencies, and notes that Docker allows for easy creation and management of containerized applications. Kubernetes is introduced as an open-source system for automating deployment and management of containerized applications. Amazon EKS is defined as AWS's managed Kubernetes service, which handles the Kubernetes control plane and allows customers to manage worker nodes. The document provides an overview of key Kubernetes concepts like pods, services, deployments and explains how EKS integrates with other AWS services.
(CMP302) Amazon ECS: Distributed Applications at Scale
"In recent years, containers have become a key component of modern application design. Increasingly, developers are breaking their applications apart into smaller components and distributing them across a pool of compute resources. It is relatively easy to run a few containers on your laptop, but building and maintaining an entire infrastructure to run and manage distributed applications is hard and requires a lot of undifferentiated heavy lifting.
In this session, we discuss some of the core architectural principles underlying Amazon ECS, a highly scalable, high performance service to run and manage distributed applications using the Docker container engine. We walk through a number of patterns used by our customers to run their microservices platforms, to run batch jobs, and for deployments and continuous integration. We explore the advanced scheduling capabilities of Amazon ECS and dive deep into the Amazon ECS Service Scheduler, which optimizes for long-running applications by monitoring container health, restarting failed containers, and load balancing across containers."
Modernizing applications with Amazon EKS - MAD304 - Santa Clara AWS Summit.pdf
In this session, learn how to easily containerize and migrate existing applications to Amazon Elastic Container Service for Kubernetes (Amazon EKS) without needing to refactor your code or tooling. Amazon EKS makes it easy to deploy, manage, and scale containerized applications using Kubernetes on AWS.
Running containers in AWS
This document provides an overview of running containers on AWS, including services like ECS, EKS, Fargate, Elastic Beanstalk, ECR, and CloudMap. It discusses the benefits and usage of each service, how they integrate with Docker and Kubernetes, and compares options like ECS on EC2 versus ECS on Fargate. Key points covered include task definitions and scheduling in ECS, cluster management with EKS, multi-container support in Elastic Beanstalk, and service discovery with CloudMap.
How To Run Your Containers on AWS with ECS & Fargate: Collision 2018
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Aws container webinar day 1
The document discusses various managed Kubernetes platforms for deploying containers including Amazon EKS, Kops, Kubeadm, and Rancher. It provides an overview of each tool, how to install and set them up, and compares their key features such as installation difficulty, upgrade support, maintenance, and integration with AWS services. Examples of using eksctl and kubectl to deploy an EKS cluster and commands for creating a cluster with Kops are also included.
Introduction to Containers - AWS Startup Day Johannesburg.pdf
In this session, we cover all the options for running containers on AWS. This will include an intro of container concepts, and an overview to different services like ECS, EKS, ECR and Fargate. We cover topics like: how to choose the right orchestration platform for your workload, some different tools that are out there to make the process easier, and how to find more information and support as you work.
Getting Started with Containers on AWS: Collision 2018
This document provides an overview of container services on AWS, including Amazon ECS, EKS, and Fargate. It explains that ECS is fully managed container orchestration, EKS provides managed Kubernetes, and Fargate allows running containers without managing infrastructure. It also discusses differences between EC2 and Fargate launch types, with Fargate eliminating the need to manage clusters and resources. Overall, the document aims to help users choose the right container option for their workload and optimize for portability, scalability, and ease of use.
Similar to Meetup CNCF Torino - Amazon EKS March 29th 2019 (20)
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The document discusses Kubernetes being used as a control plane rather than a complete data and control plane. It suggests using Kubernetes for orchestration and control while offloading the actual data and infrastructure services to other cloud services like Amazon ECS, RDS, etc. This allows separating the infrastructure code from the Kubernetes configuration and simplifies management. It demonstrates using ECS along with ACK controllers to integrate AWS services with Kubernetes. In the end, it characterizes Kubernetes as a container orchestrator that can act as a proxy to cloud services rather than replacing them.
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IDI 2022: Making sense of the '17 ways to run containers on AWS'
The document discusses different strategies for running containers on AWS. It introduces various AWS services for container deployment and management, including ECS, EKS, Fargate, Lambda, and others. It emphasizes that there is no single solution that can serve all customers, as they have different priorities around simplicity, flexibility, agility, and hybrid capabilities. The document also explores strategic considerations around traditional versus serverless application architectures and how mean time between upgrades affects infrastructure choices. Finally, it proposes using scorecards to evaluate and compare AWS container services based on dimensions like workload support, ease of use, extensibility, and hybrid capabilities.
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This deck focus on how AWS Fargate allows developers using containers to focus on their application rather than the infrastructure underneath.
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From 0 to Blue-Green deployments on AWS Fargate
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AWS Summit Stockholm - Fargate: deploy containers, not infrastructure
The document discusses using AWS Fargate to deploy containers without managing infrastructure. It provides an agenda covering how Fargate addresses confusion around compute options, integrating secrets management, and demonstrating an end-to-end pipeline with blue/green deployments on Fargate. The presenters then discuss how Fargate removes the need to manage capacity and drives better architectural patterns by not exposing servers. Code examples are provided to illustrate pulling secrets from Secrets Manager and running a Twitter streaming application on Fargate.
AWS Summit London 2019 - Containers on AWS
This document discusses various options for running containers on AWS, including EC2 instances, ECS, EKS, Lambda, and Fargate. It provides examples of deploying a sample application called Yelb using each option. EKS is highlighted as providing a managed Kubernetes control plane while allowing customers to manage their own worker nodes. ECS is noted as having deep integration with other AWS services. The document concludes that EKS is well suited for hybrid deployments while ECS provides a more out-of-the-box experience through tighter AWS platform integration.
End-to-end CI/CD deployments of containerized applications using AWS services
This document discusses setting up an end-to-end CI/CD pipeline on AWS to continuously deploy a containerized application. It begins with an introduction and background on the speaker. It then describes the sample application that will be deployed. The rest of the document goes through setting up the different AWS services needed for continuous integration, building Docker containers, and deploying the application via AWS Lambda and Amazon ECS/Fargate. It emphasizes using AWS Code services like CodeCommit, CodeBuild, CodePipeline and CodeDeploy to automate the process from code changes to production deployments.
Containers at AWS: State of the Union
The document discusses container services at AWS. It begins with an overview of Amazon Elastic Container Service (ECS), which provides a managed orchestration service to deploy and manage containers across a cluster of EC2 instances. It then covers how AWS addresses trends toward broader compute abstractions and operationalizing open source software. Finally, it introduces AWS Fargate, which removes the need for customers to manage the underlying infrastructure for containers.
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Meetup CNCF Torino - Amazon EKS March 29th 2019
- 1. Kubernetes and AWS Massimo Re Ferrè Developer Advocate @ Amazon Web Services © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
- 2. AWS Lambda Amazon EC2 AWS Fargate Amazon EKS VMcontainerfunction Amazon Lightsail Levelofabstraction Provider space (managed by AWS) Consumer space (managed by the customer) Amazon ECS physicalserver Bare Metal
- 3. EKS? The most boring session ever “Run Kubernetes for me.”
- 4. What customers asked us “Give us an upstream experience.” “Please don’t fork.” “Make sure it’s compatible”
- 5. Will $(thing) work on Amazon EKS?
- 6. EKS (High level architecture) Availability Zone 1 Master Master Availability Zone 2 Availability Zone 3 Master Workers Workers Workers Customer Account AWS Managed
- 7. We believe EKS provides a better experience - But….
- 8. Things for which you may still need to use Kops - The K8s control plane logs are not (yet) accessible - You can't use your overlay of choice (vpc-cni only) - Can't pass parameters to the master nodes at EKS deployment time - No support for Alpha features
- 9. How do I integrate with other AWS services?
- 10. EKS (network overlay) Nginx Pod Java Pod ENI Secondary IPs: 10.0.0.1 10.0.0.2 Veth IP: 10.0.0.1 Veth IP: 10.0.0.2 Nginx Pod Java Pod ENI Veth IP: 10.0.0.20 Veth IP: 10.0.0.22 Secondary IPs: 10.0.0.20 10.0.0.22 VPC Subnet – 10.0.0.0/24 Instance 1 Instance 2
- 11. How do you expose services with EKS? ELB support via Service of type LoadBalancer (GA) NLB support via Service of type LoadBalancer ALB Ingress (https://github.com/kubernetes-sigs/aws-alb-ingress-controller)
- 12. EKS (API Authentication) Kubectl 3) Authorizes AWS Identity with RBAC K8s API 1) Passes AWS Identity 2) Verifies AWS Identity 4) K8s action allowed/denied AWS Auth
- 13. EKS and AD Integration https://aws.amazon.com/blogs/opensource/integrating-ldap-ad-users-kubernetes-rbac-aws-iam-authenticator-project/
- 14. Autoscaling - Horizontal Pod Autoscaling (managed by kubernetes) - Limited touch point with AWS - Supports custom metrics - Cluster Autoscaler (managed by kubernetes) - Integrates with AWS Autoscaling (triggers changes in desired state) - Avoid using AWS Autoscaling policies (not workloads aware)
- 15. Few huge clusters Vs many small clusters - The million dollar question - What’s the blast radius you can accept? - Pros and Cons of the two options for your use case? - Is security important to you? I guess so…
- 17. Call to action #1: eksctl https://github.com/weaveworks/eksctl/
- 18. Call to action #2: EKSWorkshop.com
- 19. Thank You! Mail: mreferre@amazon.com Twitter: @mreferre
- 20. Code used during the demo - https://github.com/weaveworks/eksctl/ - https://github.com/mreferre/yelb - https://github.com/mreferre/eksutils